Accepted Papers - Research Tracks - The Web Conference 2026

Economics, Online Markets and Human Computation

(rfp0110) Opinion Dynamics with Multiple Adversaries — Akhil Jalan and Marios Papachristou
(rfp0366) Auto-bidding under Return-on-Spend Constraints with Uncertainty Quantification — Jiale Han, Chun Gan, Chengcheng Zhang, Jie He, Zhangang Lin, Ching Law and Xiaowu Dai
(rfp0434) Deterring A Small Collusion is All You Need — Yotam Gafni
(rfp0507) DARA: Few-shot Budget Allocation in Online Advertising via In-Context Decision Making with RL-Finetuned LLMs — Mingxuan Song, Yusen Huo, Bohan Zhou, Shenglin Yin, Zhen Xiao, Jieyi Long, Zhilin Zhang and Chuan Yu
(rfp0730) The Power of Penalties: Negativity-Aware Incentives for High-Quality Crowdsourced Data Labeling — Kai Wang, Runze Wu, Yu Xiong, Haifeng Sun, Anran Li, Shaojie Tang, Changjie Fan and Xiang-Yang Li
(rfp0822) Analysis of CEX-DEX Arbitrage Opportunities with Hidden Markov Models — Bence Ladóczki
(rfp0939) LBM: Hierarchical Large Auto-Bidding Model via Reasoning and Acting — Yewen Li, Zhiyi Lyu, Peng Jiang, Qingpeng Cai, Fei Pan, Bo An and Peng Jiang
(rfp1107) Platform Competition in the Autobidding World — Gagan Aggarwal, Andres Perlroth, Ariel Schvartzman Cohenca and Mingfei Zhao
(rfp1225) PMIScore: An Unsupervised Approach to Quantify Dialogue Engagement — Yongkang Guo, Yuqing Kong and Zhihuan Huang
(rfp1229) LiquidityPool: Game-Theoretic Analysis of Stakeholder Revenue in Ranking-Dependent DeFi — Qinde Chen, Huawei Huang and Jian Zheng
(rfp1286) Aggregating Information and Preferences under Different Coordination Ability — Qishen Han, Grant Schoenebeck, Biaoshuai Tao and Lirong Xia
(rfp1311) The Art of Two-Round Voting — Qishen Han, Grant Schoenebeck, Biaoshuai Tao and Lirong Xia
(rfp1455) Allocating Chores with Restricted Additive Costs: Achieving EFX, MMS, and Efficiency Simultaneously — Zehan Lin, Xiaowei Wu and Shengwei Zhou
(rfp1474) All-but-one MMS Allocation for Chores — Jiawei Qiu, Xiaowei Wu, Cong Zhang and Shengwei Zhou
(rfp1495) Strategic Content Creation with GenAI: To Share or Not to Share? — Gur Keinan and Omer Ben-Porat
(rfp1558) AHBid: An Adaptable Hierarchical Bidding Framework for Cross-Channel Advertising — Xinxin Yang, Yangyang Tang, Yikun Zhou, Yaolei Liu, Yun Li and Bo Yang
(rfp1698) Barter Exchange with Asymmetric Item Valuations — Juan Luque, Sharmila Duppala, Michael Curry, John Dickerson and Aravind Srinivasan
(rfp1825) Online Rounding and Pricing Schemes for k-Rental Problems — Hossein Nekouyan, Bo Sun, Raouf Boutaba and Xiaoqi Tan
(rfp1841) Online Advertising with Spatial Interactions — Gagan Aggarwal, Yifan Wang and Mingfei Zhao
(rfp1865) Automated Deterministic Auction Design with Objective Decomposition — Zhijian Duan, Haoran Sun, Yichong Xia, Siqiang Wang, Zhilin Zhang, Chuan Yu, Jian Xu and Xiaotie Deng
(rfp2135) The Query Complexity of Uniform Pricing — Houshuang Chen, Yaonan Jin, Pinyan Lu and Chihao Zhang
(rfp2292) Pay for The Second-Best Service: A Game-Theoretic Approach against Dishonest LLM Providers — Yuhan Cao, Yu Wang, Sitong Liu, Miao Li, Yixin Tao and Tianxing He
(rfp2506) Position Auctions in AI-Generated Content — Santiago Balseiro, Kshipra Bhawalkar, Yuan Deng, Zhe Feng, Jieming Mao, Aranyak Mehta, Vahab Mirrokni, Renato Paes Leme, Di Wang and Song Zuo
(rfp2508) Determinants and Effects of Buy Box Suppression on Amazon — Jeffrey Gleason, Shuo Zhang and Christo Wilson
(rfp2518) How to Strategize Human Content Creation in the Era of GenAI? — Seyed Esmaeili, Kevin Lim, Kshipra Bhawalkar, Zhe Feng, Di Wang and Haifeng Xu
(rfp2539) Additively Competitive Secretaries — Mohammad Mahdian, Jieming Mao, Enze Sun, Kangning Wang and Yifan Wang
(rfp2547) Improving the Price of Anarchy via Predictions in Parallel-Link Networks — George Christodoulou, Vasilis Christoforidis, Alkmini Sgouritsa and Ioannis Vlachos
(rfp2666) The Price of Uncertainty for Social Consensus — Yunzhe Bai and Alec Sun
(rfp2834) Marketing Hosting: From Fixed to Endogenous Budgets — Bingzhe Wang, Tianyu Wang, Qi Qi, Xiaoxuan Deng, Zhilin Zhang and Chuan Yu
(rfp3242) Efficient and Fair Allocation on Graphs: From Orientation to Position-Aware Valuations — Bo Li, Ankang Sun and Shiji Xing
(rfp3267) Data Pricing via Competitive Equilibrium — Bhaskar Chaudhury, Jugal Garg, Aniket Murhekar and Jiaxin Song
(rfp3426) Single-Sample Bilateral Trade with a Broker — Mohammadtaghi Hajiaghayi, Gary Peng and Suho Shin
(rfp3609) Social Deliberation: Democratic Deliberation Through Unbiased Social Interactions — Dana Afazeli, Mohamad Latifian and Masoud Seddighin
(rfp3786) Differentially Private Anonymous Bandits for Multi-User Systems — Mohammad Reza Badri, Hossein Esfandiari, Samira Hosseinghorban and Alireza Rezaeimoghadam
(rfp3842) Understanding Strategic Platform Entry and Seller Exploration: A Stackelberg Model — Garrett Seo, Xintong Wang and David Parkes
(rfp4490) Stochastic Wage Suppression on Gig Platforms and How to Organize Against It — Ana-Andreea Stoica, Celestine Mendler-Duenner and Moritz Hardt

Graph Algorithms and Modeling for the Web

(rfp0027) Difference-based Sample Selection for Federated Graph Rationalization — Linan Yue and Weibo Gao
(rfp0068) Toward Graph-Tokenizing Large Language Models with Reconstructive Graph Instruction Tuning — Zhongjian Zhang, Xiao Wang, Mengmei Zhang, Jiarui Tan and Chuan Shi
(rfp0109) Multi-Source Unsupervised Graph Domain Adaptation via Concise Propagation–Transformation Pipeline — Jiayi Wang, Yi Li, Xin Zheng, Junyang Chen, Yanqing Guo, Alan Wee-Chung Liew and Shirui Pan
(rfp0161) Class-Domain Incremental Learning on Graphs via Disentangled Knowledge Distillation — Qin Tian, Chen Zhao, Xintao Wu, Dong Li, Minglai Shao, Xujiang Zhao and Wenjun Wang
(rfp0199) Riemannian Liquid Spatio-Temporal Graph Network — Liangsi Lu, Jingchao Wang, Zhaorong Dai, Hanqian Liu and Yang Shi
(rfp0207) Topology-Aware Feature Sorting Enables Universal Modeling on Homophilic and Heterophilic Graphs — Yi Wang, Jitao Zhao, Dongxiao He, Jia Li, Yuxiao Huang and Zhiyong Feng
(rfp0296) Exploring Sequential Dynamics on Temporal Graphs via Composite Filtering — Yuanyuan Xu, Danni Wu, Xuemin Lin, Dong Wen, Wenjie Zhang, Lei Chen and Ying Zhang
(rfp0318) Diffusion-based Kriging Model with Graph-enhanced Attention — Mingtao Zhang, Guoli Yang, Zhanxing Zhu, Guangyin Jin, Mengzhu Wang and Xiaoying Bai
(rfp0362) Graph Retention Networks for Dynamic Graphs — Qian Chang, Xia Li, Xiufeng Cheng, Runsong Jia, Jinqing Yang, Guoping Hu and Ciprian Doru Giurcaneanu
(rfp0364) A Graph Foundation Model for Unified Anomaly Detection — Renda Han, Xiaobao Wang, Luzhi Wang, Wenxin Zhang, Guangzhen Yao and Hongxiang Liang
(rfp0382) Maximum Edge-based Quasi-Clique: Novel Iterative Frameworks — Hongbo Xia, Shengxin Liu and Zhaoquan Gu
(rfp0383) Beyond Single-Granularity Prompts: A Multi-Scale Chain-of-Thought Prompt Learning for Graph — Ziyu Zheng, Yaming Yang, Ziyu Guan, Wei Zhao, Xinyan Huang and Weigang Lu
(rfp0389) Scalable and Provable Biclique-Preserving Clustering: The Power of Counting-based Approaches — Longlong Lin, Zeli Wang, Rong-Hua Li, Xiaohai Dai, Li Ni and Jin Zhao
(rfp0409) Graph Diffusion Evolution Model for Multi-Conditional Molecular Generation — Xingcheng Fu, Lingyun Liu, Yisen Gao, Tianyu Chen, Qingyun Sun, Jianxin Li and Xianxian Li
(rfp0413) Multi-Source Information Driven Spatio-Temporal Hypergraph Learning for Traffic Forecasting — Ping Zhang, Jiayu Leng, Liang Yang, Anchen Li, Xiaochun Cao and Riting Xia
(rfp0432) Riemannian Graph Tokenizer for Structural Knowledge Transfer — Qimin Zhou, Haibo Liu, Yujie Wang, Li Sun and Chuan Shi
(rfp0446) Integrated Mixture of Neighborhood and Community Experts for Graph-Based Fraud Detection — Zhizhi Yu, Di Jin, Dongxiao He, Wenhuan Lu and Jianguo Wei
(rfp0498) LEDA: Latent Semantic Distribution Alignment for Multi-domain Graph Pre-training — Lianze Shan, Jitao Zhao, Dongxiao He, Siqi Liu, Jiaxu Cui and Weixiong Zhang
(rfp0571) RAG-GFM: Overcoming In-Memory Bottlenecks in Graph Foundation Models via Retrieval-Augmented Generation — Haonan Yuan, Qingyun Sun, Jiacheng Tao, Xingcheng Fu and Jianxin Li
(rfp0608) SGExplainer: Balanced Path-based Signed Graph Neural Network Explanation for Link Sign Prediction — Jie Gao, Jia Hu, Geyong Min and Fei Hao
(rfp0647) FeedGuard: Online Critic-Guided Reinforcement Learning with Privacy-Preserving Feedback for Recommendation — Mengying Zhu, Feiyue Chen, Lifan Jiang, Mengyuan Yang, Yangyang Wu, Guanjie Cheng and Xiaolin Zheng
(rfp0664) HomeRun: Performing Curveball Trades quasi in Streaming for Fast Null Modeling of Graphs, Hypergraphs, and Binary Matrices — Michelle Contreras-Catalan and Matteo Riondato
(rfp0697) Dir-GD: Directed Graph Distillation — Ce Yang, Fei Hao, Jie Gao, Jianrui Chen, Jia Hu and Geyong Min
(rfp0698) TAWRMAC: A Novel Dynamic Graph Representation Learning Method — Soheila Farokhi, Xiaojun Qi and Hamid Karimi
(rfp0734) Graph Neural Network Model Transferability Estimation via Decomposition-Augmented Discriminant Analysis — Huanchang Ma, Xin Zheng, Jianyu Li, Alan Wee-Chung Liew, Wei Lan and Jian Gao
(rfp0797) negMIX: Negative Mixup for OOD Generalization in Open-Set Node Classification — Junwei Gong, Xiao Shen, Zhihao Chen, Shirui Pan, Xiao Wang and Xi Zhou
(rfp0832) UTAG: Leveraging LLM as a Unified Embedding Generator for Text-Attributed Graphs — Mingqian Ding, Jianjun Li, Zhiyuan Ma, Liwei Zhang and Wenqi Yang
(rfp0851) Mitigating Dynamic Graph Distribution Shifts via Mixture of Variational Experts — Qianyu Song, Chao Li, Yeyu Yan, Hui Zhou, Zhongying Zhao and Qingtian Zeng
(rfp0905) STG-DGR: Fraud Detection on Streaming Transaction Graphs with Diffusion-based Generative Replay — Rui Ou, Kun Zhu, Nana Zhang, Jiangtong Li, Chaochao Chen and Changjun Jiang
(rfp0950) Text-attributed Graph Condensation via Text Selection and Attribute Matching — Haowei Han, Yuxiang Wang, Guojia Wan, Hao Wang, Shanshan Feng, Hao Huang, Jiawei Jiang and Xiao Yan
(rfp0968) Practical Group Steiner Tree Algorithms for Web Applications with Many Groups — Qicheng Shan, Yuxuan Yang and Gong Cheng
(rfp1006) Unsupervised Subgraph Anomaly Detection based on Pattern Collaboration — Sun Jiayang, Liu Shenghao, Deng Xianjun, Xiang Wei, Luo Meng, Zhang Qiankun and Zheng Dandan
(rfp1058) GraphTARIF: Linear Graph Transformer with Augmented Rank and Improved Focus — Zhaolin Hu, Kun Li, Hehe Fan and Yi Yang
(rfp1097) VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection — Jiahao Xie and Guangmo Tong
(rfp1142) Towards Graph Foundation Model: Node Feature Transfer Invariant Modeling on General Graphs — Jitao Zhao, Yi Wang, Yawen Li, Dongxiao He, Di Jin, Zhiyong Feng and Weixiong Zhang
(rfp1182) Sustained Vertex Cover on Temporal Graphs — Junqiang Peng, Tian Bai, Jingyang Zhao and Mingyu Xiao
(rfp1187) Dual-level Reweighting for Positive-Unlabeled Graph Classification — Junghun Kim, Shihyung Park and U Kang
(rfp1255) A Unified Graph Clustering Network — Renda Han, Xiaobao Wang, Longbiao Wang, Wenxin Zhang, Ronghao Fu, Kaiming Wang, Zeyu Zhang and Kuntharrgyal Khysru
(rfp1264) DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes — Jialun Zheng, Jie Liu, Jiannong Cao, Xiao Wang, Hanchen Yang and Yankai Chen
(rfp1287) E$^2$SGNN: Reconciling Expression and Efficiency in Spiking Graph Neural Network — Han Zhao, Xu Yang, Cheng Deng and Fan Liu
(rfp1342) Anomaly Detection of Interaction Behaviors in Streaming Graphs — Shuai Ren, Fan Zhang, Bolin Wang, Xiang Zhao and Zhihong Tian
(rfp1354) Graph-to-Tree: Topological Decomposition for Self-Supervised Learning — Yejiang Wang, Yuhai Zhao, Fangting Li, Jiapu Wang, Meixia Wang, Ling Li, Miaomiao Huang, Zhengkui Wang and Shirui Pan
(rfp1493) Revisiting Graph-Level Anomaly Detection: From Partially to Fully Unsupervised Learning — Zhenyu Yang, Ge Zhang, Shan Xue, Xiaoxiao Ma, Jian Yang, Hao Peng, Amin Beheshti and Jia Wu
(rfp1538) Network Dismantling via Reverse Dismantling: Static and Dynamic Algorithms — Jinyu Duan, Sijin Wang, Fan Zhang, Xiang Zhao, Wenjie Zhang and Zhihong Tian
(rfp1571) FedCND: Federated Graph-Level Clustering under Inter-Client Cluster Number Discrepancy — Junlong Wu, Renda Han, Wenxuan Tu, Jingxin Liu, Haotian Wang and Jieren Cheng
(rfp1574) SCOUT: Structure-Aware Aspect and Anchor-Count Selection for Node Attribute Augmentation via Positional Information — Dong-Hyuk Seo, Sein Kim, Taeri Kim, Won-Yong Shin and Sang-Wook Kim
(rfp1628) Breaking the Scalability Barrier in Constrained Graph-Based Networked Control via Decision-Focused Learning — Zhaoxing Yang, Yuchen Guo, Wenlong Li, Guiyun Fan, Haiming Jin and Linghe Kong
(rfp1666) PAGE: Progressive Anomaly Generation Network for Semi-supervised Graph Anomaly Detection — Ting Guo, Dongyu Pei, Gangzhu Qiao, Kaixuan Yao and Da Wang
(rfp1672) Invariant Learning on Heterogeneous Graphs via Subgraph Environment Inference — Yanghui Fu, Yunfei Wang, Hao Zou, Yue He, Haotian Wang, Qing Cheng, Guangquan Cheng and Shixuan Liu
(rfp1689) ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion — Xiang Li, Jianpeng Qi, Haobing Liu, Yuan Cao, Guoqing Chao, Zhongying Zhao, Junyu Dong, Xinwang Liu and Yanwei Yu
(rfp1737) PIGCN: Physics-Inspired Graph Convolution Networks for Heterogeneous Social Event Detection — Yongsheng Yu, Congbo Ma, Zitai Qiu, Shan Xue, Jian Yang and Jia Wu
(rfp1806) Weighted Graph Clustering via Scale Contraction and Graph Structure Learning — Haobing Liu, Yinuo Zhang, Tingting Wang, Ruobing Jiang and Yanwei Yu
(rfp1831) Cross-Type Semantic Alignment for Multi-Type Anomaly Detection in Heterogeneous Graphs — Di Jin, Xiao Huang, Xiaobao Wang, Fengyu Yan, Luzhi Wang and Hongxiang Liang
(rfp1919) Graph Cross-Domain Continual Fine-Tuning via Orthogonal LoRA Routing with Contrastive Expert Specialization — Qianyi Cai, Ziyue Qiao, Minghao Yang, Xiao Luo and Hui Xiong
(rfp2055) Unveiling Backdoor Propagation in Graphs: Neuron-Centric Defense Mechanisms — Di Jin, Bingdao Feng, Xiaobao Wang, Yuxiang Zhang, Zechuan Zhang, Liang Yang, Dongxiao He and Zhen Wang
(rfp2111) Hierarchical Graph-Bag-Network for Self-Supervised Multi-Graph Learning — Meixia Wang, Yuhai Zhao, Zhengkui Wang, Fenglong Ma, Yejiang Wang, Miaomiao Huang, Fazal Wahab, Wen Shan and Xingwei Wang
(rfp2152) MessageShift: Fine-Grained Data Augmentation for Graph Neural Networks — Weigang Lu, Zheng Liang, Yaming Yang, Ziyu Zheng, Meng Yan, Beilei Ling, Ziyu Guan and Wei Zhao
(rfp2180) Generalizable Graph-level Anomaly Detection via Prompted Anomaly Expansion and Normality Extraction — Ge Zhang, Jiapei Chen, Guohao Sun, Xiu Fang, Zhenyu Yang, Xixun Lin and Liang Yang
(rfp2202) From Representation to Clusters: A Contrastive Learning Approach for Attributed Hypergraph Clustering — Li Ni, Shuaikang Zeng, Lin Mu and Longlong Lin
(rfp2225) Heterophily-Agnostic Hypergraph Neural Networks with Riemannian Local Exchanger — Li Sun, Ming Zhang, Wenxin Jin, Zhongtian Sun, Zhenhao Huang, Hao Peng, Sen Su and Philip Yu
(rfp2273) Meta-Learning Driven Few-Shot Knowledge Transfer with Dual-Stage Adaptive Data Replay for Cross-Domain Recommendation — Yilei Qiu, Fei Xiong, Jun Hu, Shirui Pan and Liang Wang
(rfp2341) VecFormer: Towards Efficient and Generalizable Graph Transformer with Graph Token Attention — Jingbo Zhou, Jun Xia, Siyuan Li, Yunfan Liu, Wenjun Wang, Yufei Huang, Changxi Chi, Mutian Hong, Zhuoli Ouyang, Shu Wang, Zhongqi Wang, Xingyu Wu, Chang Yu and Stan Z. Li
(rfp2349) Mitigating Homophily Disparity in Graph Anomaly Detection: A Scalable and Adaptive Approach — Yunhui Liu, Qizhuo Xie, Yinfeng Chen, Xudong Jin, Tao Zheng, Bin Chong and Tieke He
(rfp2351) IVQ-GNN: Mitigating Performance Gaps from Graph Connection Pattern Inconsistency via Vector Quantization — Di Jin, Yixuan Du, Cuiying Huo, Xiaotong Huang, Ruqiong Zhang, Xiaobao Wang and Yawen Li
(rfp2417) Disentangled Graph LLM for Molecule Graph Editing under Distribution Shifts — Yang Yao, Xin Wang, Yuan Meng, Zeyang Zhang, Hong Mei and Wenwu Zhu
(rfp2418) KEGOD: Kernel-enhanced Latent Substructure Learning for Graph Out-Of-Distribution Detection — Yifan Wang, Haodong Zhang, Zhiping Xiao, Yusheng Zhao, Siyu Yi, Nan Yin, Xinwang Liu, Ming Zhang and Wei Ju
(rfp2504) Identification of Influential Node Group in Attributed Graph through Explaining Graph Neural Network — Xiao Tan, Tongtong Su, Jiayi Wu, Yan Zhang, Binghui Xu, Dian Shen, Meng Wang and Beilun Wang
(rfp2555) AC$^2$L-GAD: Active Counterfactual Contrastive Learning for Graph Anomaly Detection — Kamal Berahmand, Saman Forouzandeh, Mehrnoush Mohammadi, Parham Moradi and Mahdi Jalili
(rfp2623) Controllable Graph Generation with Diffusion Models via Inference-Time Tree Search Guidance — Jiachi Zhao, Zehong Wang, Yamei Liao, Chuxu Zhang and Yanfang Ye
(rfp2631) Frequency-Corrupt Based Graph Self-Supervised Learning — Haojie Li, Mengjiao Zhang, Guanfeng Liu, Qiang Hu, Yan Wang and Junwei Du
(rfp2705) Can LLMs Fool Graph Learning? Exploring Universal Adversarial Attacks on Text-Attributed Graphs — Zihui Chen, Yuling Wang, Pengfei Jiao, Kai Wu, Xiao Wang, Xiang Ao and Dalin Zhang
(rfp2729) A^2GBD: Attack-Agnostic Graph Backdoor Defense — Chenxu Du, Yang Liu, Xingtong Yu, Zhuoer Xu, Yang Liu and Tianrui Li
(rfp2752) Multi-view Hierarchical Graph Contrastive Learning based on Asynchronous Asymmetric Structure — Chuangui Cao, Shifei Ding, Jian Zhang, Lili Guo and Xuan Li
(rfp2805) Hi-GMAE: Hierarchical Graph Masked Autoencoders — Chuang Liu, Zelin Yao, Xueqi Ma, Mukun Chen, Luzhi Wang, Jia Wu and Wenbin Hu
(rfp2810) Towards Robust Heterogeneous Graph Explanations under Structural Perturbations — Yifan Lu, Pengfei Jiao, Xuan Guo, Ziyun Zou, Yiwei Wang, Mengzhou Gao, Huaming Wu and Imran Razzak
(rfp2820) Discrete Diffusion-Based Model-Level Explanation of Heterogeneous GNNs with Node Features — Pallabee Das and Stefan Heindorf
(rfp2848) Long-Tailed Recognition of Evidential Experts for Graph-level Classification — Wei Ju, Siyu Yi, Zhengyang Mao, Yifang Qin, Yifan Wang, Zhiping Xiao, Yiwei Fu, Ziyue Qiao and Ming Zhang
(rfp2850) SPGCL: Subgraph Pattern-Aware Graph Contrastive Learning for High-Order Structural Representation — Zhe Zhan, Xiangshi Li, Tingting Wang, Shuo Yu and Henan Lei
(rfp2911) A Dual-Channel Contrastive Learning Framework for Anomaly Detection in Dynamic Graph Structures — Runshuo Liu, Chao Li, Zhongying Zhao, Hui Zhou and Qingtian Zeng
(rfp2927) Collaborative Subgraph Learning based Spectrum Sensing under Partial Observations — Zhaowei Liu, Chang Liu, Dong Yang, Weiqing Yan, Yongchao Song and Anzuo Jiang
(rfp2931) OFA-MAS: One-for-All Multi-Agent System Topology Design based on Mixture-of-Experts Graph Generative Models — Shiyuan Li, Yixin Liu, Yu Zheng, Mei Li, Quoc Viet Hung Nguyen and Shirui Pan
(rfp2966) LLM-enhanced Federated Graph Learning with Geometry-aware Graph Projection and Shared Subspace Aggregation — Pengyang Zhou, Zhihao Huang, Jiahe Xu, Wu Wen, Xiaolin Zheng, Chaochao Chen and Jianwei Yin
(rfp2975) SLFM: Semi-Supervised Local Community Detection Based on Hyperbolic Flow Matching — Haixu Xiong, Li Sun, Yun Xiong, Suyang Zhou, Hongrun Ren and Yangyong Zhu
(rfp3024) Contextual Structure-Enhanced Selective Graph Convolutional Network — Shifei Ding, Fangchen Li, Lili Guo and Jian Zhang
(rfp3049) Structure-Semantic Synergized Deep Contrastive Graph Clustering — Shifei Ding, Zhe Li, Xiao Xu and Chao Li
(rfp3231) Unifying Graph Out-of-Distribution Generalization and Detection through Spectral Contrastive Invariant learning — Tianyin Liao, Ge Lan, Rui Chen, Ran Zhang, Zhiming Chen, Xiao Wang and Ziwei Zhang
(rfp3241) GraphRAG-R1: Graph Retrieval-Augmented Generation with Process-Constrained Reinforcement Learning — Chuanyue Yu, Kuo Zhao, Yuhan Li, Heng Chang, Mingjian Feng, Xiangzhe Jiang, Yufei Sun, Jia Li, Yuzhi Zhang, Qingyun Sun, Jianxin Li and Ziwei Zhang
(rfp3251) WPIS: From In-the-Wild Web Images to Physics-Aware 3D Scene Graphs for Physical Reasoning — Ke Ma, Cong Fu, Jianing Wang, Yifei Wang, Wenyuan Li, Xinggang Wang, Meng Wang and Tian Xia
(rfp3479) Revisiting and Enhancing Graph Neural Networks through the Lens of Amortized Flows — Minjie Cheng, Bokai Yan, Dixin Luo and Hongteng Xu
(rfp3499) STELA: Spatiotemporal Forecasting via Graph Learning and Entropy-Guided LLM Adaptation — Tiantian Huang, Yue Li, Wei Shao, Ziqi Xu, Qipeng Song and Hui Li
(rfp3680) Towards Geometry-Consistent Federated Graph Learning — Yuecen Wei, Zhiyu Zhuang, Yisen Gao, Xingcheng Fu, Qingyun Sun, Ziwei Zhang, Tianyu Wo and Chunming Hu
(rfp3687) Towards A Universal Graph Structural Encoder — Jialin Chen, Haolan Zuo, Haoyu Wang, Siqi Miao, Pan Li and Rex Ying
(rfp3807) Stuart-Landau Oscillatory Graph Neural Network — Kaicheng Zhang, David N Reynolds, Piero Deidda and Francesco Tudisco
(rfp3974) SliceGX: Layer-wise GNN Explanation with Model-slicing — Cibo Yu, Tingting Zhu, Tingyang Chen, Yinghui Wu, Arijit Khan and Xiangyu Ke
(rfp4136) Rethinking Graph Generalization through the Lens of Sharpness-Aware Minimization — Yang Qiu, Yixiong Zou and Jun Wang
(rfp4140) CLGNN: A Contrastive Learning-based GNN for Temporal Betweenness Prediction under Extreme Value Imbalance — Tianming Zhang, Renbo Zhang, Zhengyi Yang, Yunjun Gao, Bin Cao and Jing Fan
(rfp4167) RARD: Rationale-First Blockwise Autoregressive Diffusion in Rationale‑Dominated Graph Generation — Xu Fan, Zhang Yijun, Zhang Sibo, Ding Jiaxin, Fu Luoyi and Wang Xinbing
(rfp4209) Space-based Parameter Evolving with Lightweight Optimization for Graph Adaptation to Evolving Shifts — Junyu Luo, Zixuan Ouyang, Xiao Luo, Hourun Li, Zhiping Xiao, Yifan Wang and Ming Zhang
(rfp4298) Zero-Shot Forecasting of Network Dynamics through Weight Flow Matching — Shihe Zhou, Ruikun Li, Huandong Wang and Yong Li

Responsible Web

(rfp0672) Rethinking Implicit Hate Speech Detection: Focusing on Latent Hate Components via Dual-Process Argumentation — Shiqi Sun, Du Su, Wei Chen and Xueqi Cheng
(rfp0808) Does This Button Work? Investigating YouTube's Ineffective User Controls — Jesse McCrosky, Ranadheer Malla, Aapo Tanskanen and Chico Camargo
(rfp1304) PIXEL: Adaptive Steering Via Position-wise Injection with eXact Estimated Levels under a Subspace Calibration — Manjiang Yu, Hongji Li, Priyanka Singh, Xue Li, Di Wang and Lijie Hu
(rfp1310) Trireme: A Tripartite Regulation Scheme for Diffusion Models — Hengtong Zhang, Chen Ye and Hongzhi Wang
(rfp1423) Doxing-as-a-Service: Demystifying the Chinese Online Doxing Ecosystem — Yiran Gao, Pengcheng Xia, Liu Wang, Tianming Liu and Haoyu Wang
(rfp1518) Semi-Supervised Fake News Detection with Mixture of Experts — Zhenyu Yang, Chaoyu Yang, Wenfeng Xu, Xiuxiu Hao, Huan Wang, Ge Zhang, Xiaoxiao Ma and Jun Shen
(rfp2085) BiasEdit: A Training-Free Bias-Detect-and-Edit Framework for Learning Fair Visual Classifiers — Jungwook Seo, Yoonsik Park, Changmin Lee and Sungyong Baik
(rfp2102) Users Pay Twice: The Hidden Energy Cost of Web Advertising — Samuel Pélissier, Naif Mehanna, Sterenn Roux, Quentin Perez, Walter Rudametkin, Johann Bourcier and Pierre Laperdrix
(rfp2517) Question the Questions: Auditing Representation in Online Deliberative Processes — Soham De, Lodewijk Gelauff, Ashish Goel, Smitha Milli, Ariel Procaccia and Alice Siu
(rfp2540) From Navigation to Intention: Reframing the Web Experience through Goal-Driven Interfaces — Luca Cordioli and Maristella Matera
(rfp2732) Digital Skin, Digital Bias: Uncovering Tone-Based Biases in LLMs and Emoji Embeddings — Mingchen Li, Wajdi Aljedaani, Yingjie Liu, Navyasri Meka, Xuan Lu, Xinyue Ye, Junhua Ding and Yunhe Feng
(rfp3145) Read as You See: Guiding Unimodal LLMs for Low-Resource Explainable Harmful Meme Detection — Fengjun Pan, Xiaobao Wu, Tho Quan and Anh Tuan Luu
(rfp3213) IConMoE: Modeling Intents of Misinformation using Concept Activation Vector-based Mixture of Experts — Atul Kumar Singh and Rahul Mishra
(rfp3220) Towards LLM-centric Affective Visual Customization via Efficient and Precise Emotion Manipulating — Jiamin Luo, Xuqian Gu, Jingjing Wang and Jiahong Lu
(rfp3275) BIND: A Bidirectionally Aligned Next-token Denoising Framework for Fast and Lightweight Deobfuscation of Harmful Web Text — Jinwoo Jung and Misuk Kim
(rfp3335) Robust Fake News Detection using Large Language Models under Adversarial Sentiment Attacks — Sahar Tahmasebi, Eric Müller-Budack and Ralph Ewerth
(rfp3362) MultiFPT: Towards Multi-Attribute Fairness in Pre-Trained Graph Neural Networks via Prompt Tuning — Meng Cao, Mingcai Chen, Shuangjie Li, Hualei Yu, Shuai Feng and Demin Gao
(rfp3417) Is Contextual Advertising Safe? Analyzing Systemic Risks with Ads on YouTube — Asmaa El Fraihi, Ines Abdelaziz and Oana Goga
(rfp3421) Be Responsible in Your Answers! Monitoring Out-of-Domain Behaviors in Domain-Specific LLMs — Boquan Li, Chenzhe Lou, Zhe Ren, Peixin Zhang, Zirui Fu, Jun Sun and Yaowen Zheng
(rfp3519) D-Models and E-Models: Diversity-Stability Trade-offs in the Sampling Behavior of Large Language Models — Jia Gu, Liang Pang, Huawei Shen and Xueqi Cheng
(rfp3561) Unifying Diversity and Fairness in Re-ranking via Economic Growth Theory — Zhaofeng Li, Chen Xu, Xinyu Lin, Wenjie Wang and Xiaokui Xiao
(rfp3734) Emergence of Structural Disparities in the Web of Scientific Citations — Buddhika Nettasinghe, Nazanin Alipourfard, Vikram Krishnamurthy and Kristina Lerman
(rfp3736) Dynamics of Human-AI Collective Knowledge on the Web: A Scalable Model and Insights for Sustainable Growth — Buddhika Nettasinghe and Kang Zhao
(rfp3748) IO-X: Detecting and Attributing Content-Duplicating Influence Operations on X (Twitter) — Ashfaq Ali Shafin, Md Nahid Siddique and Bogdan Carbunar
(rfp3763) Causality Guided Representation Learning for Cross-Style Hate Speech Detection — Chengshuai Zhao, Shu Wan, Paras Sheth, Karan Patwa, K. Selçuk Candan and Huan Liu
(rfp4081) Characterizing Iran's Phased National Internet Shutdown in 2025: A Progressive and Distributed Action — Shibo Cui, Mingxuan Liu, Baojun Liu, Haixin Duan, Ruixuan Li, Chaoyi Lu, Jin Zhang, Zhicheng Wang and Jinghua Bai
(rfp4131) Navigating Truth in Multimodal Fact-checking via Retrieval- and Reasoning-Enhanced Large Language Models — Fanrui Zhang, Qiang Zhang, Jianwen Sun, Chuanhao Li, Jiaxin Ai, Yukang Feng, Zizhen Li, Kaipeng Zhang, Jiawei Liu and Zheng-Jun Zha

Search and Retrieval-Augmented AI

(rfp0046) What Should I Cite? A RAG Benchmark for Academic Citation Prediction — Leqi Zheng, Jiajun Zhang, Canzhi Chen, Chaokun Wang, Hongwei Li, Yuying Li, Yaoxin Mao, Shannan Yan, Zixin Song, Zhiyuan Feng, Zhaolu Kang, Zirong Chen, Hang Zhang, Qiang Liu, Liang Wang and Ziyang Liu
(rfp0061) Med-R$^2$: Crafting Trustworthy LLM Physicians via Retrieval and Reasoning of Evidence-Based Medicine — Lu Keer, Zheng Liang, Da Pan, Shusen Zhang, Guosheng Dong, Huang Leng, Bin Cui, Zhonghai Wu and Wentao Zhang
(rfp0072) Generalized Pseudo-Relevance Feedback — Yiteng Tu, Weihang Su, Yujia Zhou, Yiqun Liu, Fen Lin, Qin Liu and Qingyao Ai
(rfp0147) Rethinking the Hidden Risk of Reranking: Achieving Risk-aware Reranking with Information Gain for RAG with LLMs — Zhizhao Liu, Zhihua Wen, Zhiliang Tian, Zhen Huang, Miaorong Zhu, Zimian Wei, Yifu Gao, Liang Ding and Dongsheng Li
(rfp0210) NeocorRAG: Less Irrelevant Information, More Explicit Evidence, and More Effective Recall via Evidence Chains — Shiyao Peng, Qianhe Zheng, Zhuodi Hao, Zichen Tang, Rongjin Li, Qing Huang, Jiayu Huang, Jiacheng Liu, Yifan Zhu and Haihong E
(rfp0291) LoVR: A Benchmark for Long Video Retrieval in Multimodal Contexts — Hao Liang, Qifeng Cai, Zhaoyang Han, Hejun Dong, Meiyi Qiang, Ruichuan An, Quanqing Xu, Bin Cui and Wentao Zhang
(rfp0312) PruneRAG: Confidence-Guided Query Decomposition Trees for Efficient Retrieval-Augmented Generation — Shuguang Jiao, Xinyu Xiao, Yunfan Wei, Shuhan Qi, Chengkai Huang, Quan Z. Michael Sheng and Lina Yao
(rfp0535) Pedestrian-Centric Discriminative and Fine-grained Semantic Mining for Text-based Person Retrieval — Yuheng Liang, Haipeng Chen, Yu Liu, Yingda Lyu and Xue Wang
(rfp0587) QuiZSF: A Retrieval-Augmented Framework for Zero-Shot Time Series Forecasting — Shichao Ma, Zhengyang Zhou, Qihe Huang, Binwu Wang and Yang Wang
(rfp0643) Dual-Branch Multi-Granularity Network with Structured Contrastive Ranking for Cross-Modal Retrieval — Zihao Chen, Chenyang Bu, Shengwei Ji and Xindong Wu
(rfp0667) Less is More: Compact Clue Selection for Efficient Retrieval-Augmented Generation Reasoning — Qianchi Zhang, Hainan Zhang, Liang Pang, Yongxin Tong, Hongwei Zheng and Zhiming Zheng
(rfp0776) Déjà Vu of Strange Stickers! Enhancing Out-of-Distribution Robustness in Sticker Retrieval via Cross-Modal Intent Alignment — Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Changjiang Zhou, Fan Zhang and Yinhu Zhao
(rfp0788) Model Editing for New Document Integration in Generative Information Retrieval — Zhen Zhang, Zihan Wang, Xinyu Ma, Shuaiqiang Wang, Dawei Yin, Xin Xin, Pengjie Ren, Maarten de Rijke and Zhaochun Ren
(rfp0791) LongRanker: Efficient One-Pass Document Reranking with Long-Context Large Language Models — Changjiang Zhou, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Fan Yixing and Xueqi Cheng
(rfp0960) Breaking the Single-Reference-Vector Barrier in Approximate Nearest Neighbor Search — Jiadong Xie, Jeffrey Liang, Siyi Teng, Jeffrey Xu Yu and Yingfan Liu
(rfp0973) SQL-Checker: Error Detection and Labeling for Text-to-SQL with Interpretability Analysis — Xingyu Ma, Xin Tian, Lingxiang Wu, Xuepeng Wang, Xueming Tang and Jinqiao Wang
(rfp1120) DMAP: Human-Aligned Structural Document Map for Multimodal Document Understanding — Shunliang Fu, Yanxin Zhang, Yixin Xiang, Xiaoyu Du and Jinhui Tang
(rfp1138) To Search or Not to Search: Aligning the Decision Boundary of Deep Search Agents via Causal Intervention — Wenlin Zhang, Kuicai Dong, Junyi Li, Yingyi Zhang, Xiaopeng Li, Pengyue Jia, Yi Wen, Derong Xu, Maolin Wang, Yichao Wang, Yong Liu and Xiangyu Zhao
(rfp1148) Difficulty-Aware Agentic Orchestration for Query-Specific Multi-Agent Workflows — Jinwei Su, Qizhen Lan, Yinghui Xia, Lifan Sun, Weiyou Tian, Tianyu Shi and Lewei He
(rfp1316) XR: Cross-Modal Agents for Composed Image Retrieval — Zhongyu Yang, Wei Pang and Yingfang Yuan
(rfp1318) Are LLM Web Search Engines Sustainable? A Web-Measurement Study of Real-Time Fetching — Abdur-Rahman Ibrahim Sayyid-Ali, Daanish Uddin Khan and Naveed Bhatti
(rfp1353) A Fact-Checking Framework with Denoising Evidence Retrieval and LLM-Based Debate Verification — Jun Yang, Bai Yuhan, Dandan Song, Zhijing Wu and Yuhang Tian
(rfp1370) MCoT-MVS: Multi-level Vision Selection by Multi-modal Chain-of-Thought Reasoning for Composed Image Retrieval — Xuri Ge, Chunhao Wang, Xindi Wang, Zheyun Qin, Zhumin Chen and Xin Xin
(rfp1390) Conflict-Aware RAG: Multi-Stage Learning with Conflict Signals for Robust Retrieval-Augmented Generation — Haiyan Wu, Chenchen Wang, Chaoqun Sun, Chengxiong Lu, Zhiqiang Zhang and Yanhong Chen
(rfp1459) Toward Generalized Web Agent Training: A Deep Dive into Entropy-Balanced Reinforcement Learning — Guanting Dong, Licheng Bao, Zhongyuan Wang, Kangzhi Zhao, Xiaoxi Li, Jiajie Jin, Jinghan Yang, Hangyu Mao, Fuzheng Zhang, Kun Gai, Guorui Zhou, Yutao Zhu, Ji-Rong Wen and Zhicheng Dou
(rfp1547) IRAG: Robust Multimodal Retrieval-Augmented Generation via Hazard Separation — Ruikun Luo, Zixiao Feng, Lin Gu and Xiaoyu Xia
(rfp1663) SDR-CIR: Semantic Debias Retrieval Framework for Training-Free Zero-Shot Composed Image Retrieval — Yi Sun, Jinyu Xu, Qing Xie, Jiachen Li, Yanchun Ma and Yongjian Liu
(rfp1790) FlowRAG: Continual Learning for Dynamic Retriever in Retrieval-Augmented Generation — Senlei Zhang, Tongjun Shi, Dandan Song, Luan Zhang, Shuhao Zhang, Xiaofei Liao and Hai Jin
(rfp1960) Towards Open-World Retrieval-Augmented Generation on Knowledge Graph: A Multi-Agent Collaboration Framework — Jiasheng Xu, Mingda Li, Yongqiang Tang, Peijie Wang and Wensheng Zhang
(rfp2004) BANCO: Drift-Aware Batched Bandits for Adaptive Proximity Graph Pruning — Jin Cheng, Xiangxiang Dai, Ningning Ding, John C.S. Lui and Jianwei Huang
(rfp2187) DA-RAG: Dynamic Attributed Community Search for Retrieval-Augmented Generation — Xingyuan Zeng, Zuohan Wu, Yue Wang, Chen Zhang, Quanming Yao, Libin Zheng and Jian Yin
(rfp2217) QChunker: Learning Question-Aware Text Chunking for Domain RAG via Multi-Agent Debate — Jihao Zhao, Daixuan Li, Pengfei Li, Shuaishuai Zu, Biao Qin and Hongyan Liu
(rfp2385) DeepAgent: A General Reasoning Agent with Scalable Toolsets — Xiaoxi Li, Wenxiang Jiao, Jiarui Jin, Guanting Dong, Jiajie Jin, Yinuo Wang, Hao Wang, Yutao Zhu, Ji-Rong Wen, Yuan Lu and Zhicheng Dou
(rfp2692) Enhancing Domain-Adaptive Hashing via Evidential Learning and Progressive Alignment — Junsheng Wang, Tiantian Gong, Yeyun Wu and Liyan Zhang
(rfp2781) CompactRAG: Reducing LLM Calls and Token Overhead in Multi-Hop Question Answering — Hao Yang, Zhiyu Yang, Xvpeng Zhang, Wei Wei, Yunjie Zhang and Lin Yang
(rfp2863) OpenDecoder: Open Large Language Model Decoding to Incorporate Document Quality in RAG — Fengran Mo, Zhan Su, Yuchen Hui, Jinghan Zhang, Jia Ao Sun, Zheyuan Liu, Chao Zhang, Tetsuya Sakai and Jian-Yun Nie
(rfp2878) HL-CMR: Hypergraph Learning for Cross-Modal Retrieval — Guohui Ding, Jing Li, Yimin Xu and Rui Zhou
(rfp2899) Diversifying Differentiable Graph Retrieval with Topic-Adaptive Multi-Intent Learning — Dongcheon Lee, Ji-Yeon Park, Hye-Yoon Baek, Jimyeung Seo, Seyeong Kim and Byungkook Oh
(rfp2935) ToolBox-RL: Learning to Generalize Tool Use Across Massive Repositories — Xinyan Shi, Renzhi Wang, Haodong Liu and Piji Li
(rfp2959) Facilitating Generative Retrieval with Logical Denoising for Interpretable Conversational Search — Qichuan Liu, Chentao Zhang, Yuxuan Hu, Chenfeng Zheng, Qinggang Zhang and Zhihong Zhang
(rfp2973) KEPo: Knowledge Evolution Poison on Graph-based Retrieval-Augmented Generation — Qizhi Chen, Chao Qi, Yihong Huang, Muquan Li, Rongzheng Wang, Dongyang Zhang, Ke Qin and Shuang Liang
(rfp3139) Beyond More Context: Retrieval Diversity Boosts Multi-Turn Intent Understanding — Zhiming Lin, Canran Xiao and Kai Zhao
(rfp3285) PaperAsk: A Benchmark for Reliability Evaluation of LLMs in Paper Search and Reading — Yutao Wu, Xiao Liu, Yunhao Feng, Jiale Ding and Xingjun Ma
(rfp3293) SeaRAG: Reducing Hallucination in Retrieval-Augmented Generation via Statement-Entity Adaptive Ranking — Xiaosong Yuan, Xiaofeng Zhang, Di Zhao, Yijia Zhang and Ying Wang
(rfp3297) DocResearcher: A Unified System for Multimodal Document Parsing and Deep Research — Kuicai Dong, Shurui Huang, Fangda Ye, Wei Han, Zhi Zhang, Dexun Li, Wenjun Li, Qu Yang, Gang Wang, Yichao Wang, Chen Zhang and Yong Liu
(rfp3465) Experience is the Best Teacher: Augmenting LLM Reasoning with Knowledge Learned from the Past — Mingjun Zhou, Weixin Zeng and Xiang Zhao
(rfp3538) Evidential Matching, Uncertainty Calibration: Towards Robust Composed Video Retrieval with Noisy Triplets — Zhangtao Cheng, Bozhu Zheng, Ting Zhong and Fan Zhou
(rfp3649) Inferential Question Answering — Jamshid Mozafari, Hamed Zamani, Guido Zuccon and Adam Jatowt
(rfp3690) PairSem: LLM-Guided Pairwise Semantic Matching for Scientific Document Retrieval — Wonbin Kweon, Runchu Tian, Seongku Kang, Pengcheng Jiang, Zhiyong Lu, Jiawei Han and Hwanjo Yu
(rfp3899) Reasoning by Exploration: A Unified Approach to Retrieval and Generation over Graphs — Haoyu Han, Kai Guo, Harry Shomer, Yu Wang, Yucheng Chu, Hang Li, Li Ma and Jiliang Tang
(rfp3988) From Retrieval to Generation: Unifying External and Parametric Knowledge for Medical Question Answering — Lei Li, Xiao Zhou, Yingying Zhang and Xian Wu
(rfp4011) Cost-Aware Retrieval-Augmentation Reasoning Models with Adaptive Retrieval Depth — Helia Hashemi, Victor Rühle and Saravan Rajmohan
(rfp4094) Rethinking Soft Compression in Retrieval-Augmented Generation: A Query-Conditioned Selector Perspective — Yunhao Liu, Zian Jia, Xinyu Gao, Kanjun Xu and Yun Xiong
(rfp4129) SketchMind: Understanding Abstract Sketches with MLLMs for Fine-Grained Sketch-Based Image Retrieval — Li Changxing, Donglin Zhang, Zhikai Hu, Xiao-Jun Wu and Josef Kittler
(rfp4146) HyperRAG: Reasoning N-ary Facts over Hypergraphs for Retrieval Augmented Generation — Wen-Sheng Lien, Yu-Kai Chan, Hao-Lung Hsiao, Bo-Kai Ruan, Meng-Fen Chiang, Chien-An Chen, Yi-Ren Yeh and Hong-Han Shuai
(rfp4281) A Unified Framework for Context-Aware and Relation-Aware Graph Retrieval-Augmented Generation — Haoyang Zhong, Yifei Sun, Antong Zhang, Chunping Wang, Lei Chen and Yang Yang
(rfp4321) AgenticShop: Benchmarking Agentic Product Curation for Personalized Web Shopping — Sunghwan Kim, Ryang Heo, Yongsik Seo, Jinyoung Yeo and Dongha Lee
(rfp4333) CFVBench: A Comprehensive Video Benchmark for Fine-grained Multimodal Retrieval-Augmented Generation — Kaiwen Wei, Xiao Liu, Jie Zhang, Zijian Wang, Ruida Liu, Yuming Yang, Xin Xiao, Xiao Sun, Haoyang Zeng, Changzai Pan, Yidan Zhang, Jiang Zhong, Peijin Wang and Yingchao Feng
(rfp4372) RPO-RAG: Aligning Small LLMs with Relation-aware Preference Optimization for Knowledge Graph Question Answering — Kaehyun Um, Kyuhwan Yeom, Haerim Yang, Minyoung Choi, Hyeongjun Yang and Kyong-Ho Lee
(rfp4486) TRACE: Trajectory-Aware Comprehensive Evaluation for Deep Research Agents — Yanyu Chen, Jiyue Jiang, Jiahong Liu, Yifei Zhang, Xiao Guo and Irwin King

Security and Privacy

(rfp0280) Exploring and Exploiting Security Vulnerabilities in Self-Hosted LLM Services — Zhihuang Liu, Ling Hu, Yonghao Tang, Tongqing Zhou, Fang Liu and Zhiping Cai
(rfp0334) SIsomap: Secure Collaborative Manifold Learning with Reducing Communication Costs — Peizhao Zhou, Xiaojie Guo, Pinzhi Chen, Ranyang Liu, Lihai Nie, Tong Li and Zheli Liu
(rfp0379) PrivSplit: A Lossless Method for Prompt Privacy in Distributed Parameter-Efficient Fine-Tuning — Wujia Niu, Lan Zhang, Haoran Cheng and Shen Li
(rfp0405) Unveiling and Mitigating Untargeted Poisoning Attacks on Federated Knowledge Graph Embedding — Wenzheng Jiang, Ke Liang, Wenke Huang, Xiongtao Zhang, Zhenxing Xu, Guancheng Wan, Cheston Tan, Flint Xiaofeng Fan and Ji Wang
(rfp0625) TGNN: Enhancing Pixel Tracking Detection via LLM-driven Annotation and GAT-powered Structural Representation — Shenping Xiong, Xutong Wang, Ze Jin, Xinyu Liu, Haoqiang Wang, Zhen Chen, Ru Tan and Qixu Liu
(rfp0642) DiSCoQR: Diffusion-Driven Semantic Compression for Robust Image Steganography in Standard QR Codes — Lijing Ren and Denghui Zhang
(rfp0806) Reconstructing Training Data from Adapter-based Federated Large Language Models — Silong Chen, Yuchuan Luo, Guilin Deng, Yi Liu, Ming Xu, Shaojing Fu and Xiaohua Jia
(rfp0819) Has the Two-Decade-Old Prophecy Come True? Artificial Bad Intelligence Triggered by Merely a Single-Bit Flip in Large Language Models — Yu Yan, Siqi Lu, Yang Gao, Zhaoxuan Li, Ziming Zhao, Qingjun Yuan and Yongjuan Wang
(rfp0848) Netting Phish in the IPFS Ocean: Real-Time Monitoring and Characterization of Decentralized Phishing Campaigns — Anas Kastantin, Leonhard Balduf, Onur Ascigil, Saidu Sokoto, Björn Scheuermann, Andrzej Duda, Michał Król and Maciej Korczyński
(rfp0907) Reading Between the Lines: Towards Reliable Black-box LLM Fingerprinting via Zeroth-order Gradient Estimation — Shuo Shao, Yiming Li, Hongwei Yao, Yifei Chen, Yuchen Yang and Zhan Qin
(rfp0921) FraudShield: Knowledge Graph Empowered Defense for LLMs against Fraud Attacks — Naen Xu, Jinghuai Zhang, Ping He, Chunyi Zhou, Jun Wang, Zhihui Fu, Tianyu Du, Zhaoxiang Wang and Shouling Ji
(rfp0923) Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework — Zhaoqi Wang, Daqing He, Zijian Zhang, Ye Liu, Jiamou Liu, Zhirui Zeng, Zhan Qin, Zhen Li, Xin Li, Hongwei Yao, Jincheng An, Yong Liu, Yi Li, Qi Sun, Xiulei Liu and Liehuang Zhu
(rfp0936) HyperDetector: Advanced Persistent Threat Detection via Hypergraph Neural Networks with Enhanced Global Perception — Ziyue Wu, Nan Wang, Jiqiang Liu, Hairong Dong and Xibin Zhao
(rfp0946) PADD: Prefix-based Attention Divergence Detector for LLM Jailbreaks — Ziqun Bao, Jiaqiang Niu, Yuchen Shao and Chengcheng Wan
(rfp0971) Privacy-Friendly Adaptation of Vision Transformers for Communication and Latency-Efficient Private Inference — Zhi Pang, Bo Feng, Meng Luo, Chenhao Liu, Shuwang Xu, Kai Zhao, Yadi Wu and Bo Zeng
(rfp1065) MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM — Tao Chen, Jingyi Zhang, Decheng Liu and Chunlei Peng
(rfp1095) SaGD: A Node-Level Differentially Private Graph Learning Framework with Sensitivity-Aware Gradient Descent — Jianxin Wei, Ergute Bao, Xiaokui Xiao and Ting Yu
(rfp1108) Red-Teaming Privacy-Protective Perturbations: Blind Face Restoration as an Attack Strategy — Zelin Li, Yifan Liu, Huimin Zeng, Yaokun Liu, Ruichen Yao, Yang Zhang and Dong Wang
(rfp1124) Eclipse Attacks on Ethereum’s Peer-to-Peer Network — Ruisheng Shi, Yuxuan Liang, Zijun Guo, Qin Wang, Lina Lan, Chenfeng Wang and Zhuoyi Zheng
(rfp1172) Xemis: Fair and Robust Privacy-Preserving Data Trading based on Distributed Noise Sharing — Xinxin Xing, Yizhong Liu, Ruonan Chen, Banghong Qin, Wangjie Qiu, Jianwei Liu, Qianhong Wu, Willy Susilo and Robert H. Deng
(rfp1213) LLMQuA: Practical Backdoor Injection on Large Language Model Quantization — Xiangxiang Chen, Peixin Zhang, Jun Sun, Jin Song Dong, Wenhai Wang and Jingyi Wang
(rfp1271) ProvGuard: Logic-Aware Multi-View Contrastive Learning for Robust and Efficient Host Threat Detection — Anyuan Sang, Li Yang, Lu Zhou, Cheng Zhou, Junbo Jia and Huipeng Yang
(rfp1350) Unveiling the Vulnerability of Graph-LLMs: An Interpretable Multi-Dimensional Adversarial Attack on TAGs — Bowen Fan, Zhilin Guo, Xunkai Li, Yihan Zhou, Bing Zhou, Zhenjun Li, Rong-Hua Li and Guoren Wang
(rfp1373) Robust LLM-Based Website Fingerprinting under Dynamic Real-World Conditions — Xiyuan Zhao, Xinhao Deng, Tianyu Cui, Yixiang Zhang, Ke Xu and Qi Li
(rfp1429) WAMO: Toward Secure Browser Inference via Web Model Obfuscation in WebAssembly — Yitong Wang, Pengfei Yu, Hao Han, Jingjing Gu, Fengyuan Xu and Xinyi Huang
(rfp1528) Breaking Cross-modal Alignment in Embodied Intelligence: A Multimodal Adversarial Attack Framework for Vision-Language-Action Models — Zhihui Zhao, Xiaorong Dong, Yaowen Zheng, Xiaohui Chen, Yimo Ren, Hangbei Cheng, Yongle Chen and Limin Sun
(rfp1541) TGweaver: Synthesizing Transaction Graphs for De-anonymization Analysis — Fajie Wu, Jiajing Wu, Zhiying Wu, Jun Chen, Tao Wang, Longjian He, Bowen Song and Weiqiang Wang
(rfp1563) Towards Practical LLM Unlearning: Efficient, Modular, and Retain-Free — Peng Liu, Peng-Fei Zhang, Jianfeng Qu, Ximing Li, Zhixu Li and Pengpeng Zhao
(rfp1661) The Promise vs. Reality of NFT Decentralization: An Empirical Study of Storage Strategies and Defects — Yufang Wu, Siwen Chen, Chao Li, Yuan Weng and Wei Wang
(rfp1669) WebGeoInfer: Structure-Free Multi-Stage Framework for Geolocation Inference from Exposed Device Web Interfaces — Huipeng Yang, Li Yang, Lu Zhou, Lichuan Ma, Xinyue Wang, Junbo Jia and Anyuan Sang
(rfp1683) ICL-EVADER: Zero-Query Black-Box Evasion Attacks on In-Context Learning and Their Defenses — Ningyuan He, Ronghong Huang, Qianqian Tang, Hongyu Wang, Xianghang Mi and Shanqing Guo
(rfp1704) PWAVEP: Purifying Imperceptible Adversarial Perturbations in 3D Point Clouds via Spectral Graph Wavelets — Li Haoran, Renyang Liu, Hongjia Liu, Chen Wang, Long Yin and Jian Xu
(rfp1736) Federated Latent Factor Learning for Privacy-Preserving Spatio-Temporal Signal Recovery — Chengjun Yu, Di Wu, Yi He, Jia Chen and Xin Luo
(rfp1898) Zelda: Feedback-driven Closed-box Fuzzing for Identifying Web Application Vulnerabilities — Soyoung Lee, Sunnyeo Park, Yonghwi Kwon and Sooel Son
(rfp1906) Proteus: Towards Accurate and Low-overhead In-Network Malicious Traffic Detection — Longlong Zhu, Linying Zheng, Qing Shu, Zedi Chen, Jiashuo Yu, Yuhan Wu, Shaopeng Zhou, Hongyan Liu, Dong Zhang, Chunming Wu and Xiang Chen
(rfp1913) Re-understanding Graph Unlearning through Memorization — Pengfei Ding, Yan Wang and Guanfeng Liu
(rfp1965) Mitigating Cumulative Privacy Risk in Continual Information Sharing: A Dynamic Stackelberg Game Approach — Yuzi Yi, Weixuan Wang, Yehong Luo, Jinqiao Shi and Jiwei Huang
(rfp2026) Unveiling the Resilience of LLM-Enhanced Search Engines against Black-Hat SEO Manipulation — Pei Chen, Geng Hong, Xinyi Wu, Mengying Wu, Zixuan Zhu, Mingxuan Liu, Baojun Liu, Mi Zhang and Min Yang
(rfp2037) Beyond Detection: Autonomous Anomaly Remediation for MCP Against Tool Poisoning Attacks — Zhiqiang Wang, Guanquan Shi, Yanting Wang, Yichao Gao, Hongsen Lang, Yunhao Yao, Haohua Du and Xiang-Yang Li
(rfp2060) On the Effectiveness of Mempool-based Transaction Auditing — Jannik Albrecht and Ghassan Karame
(rfp2061) Tracking the Stray Sheep: Understanding DNS Response Manipulation in the Wild — Wenhao Wu, Zhaohua Wang, Zihan Li, Qinxin Li, Yiming Xia, Chuan Gao, Guangxing Zhang and Zhenyu Li
(rfp2081) Too Much Sharing, Too Little Security: Authentication Cookie Theft At Scale — Tobias Gattermayer and Haya Schulmann
(rfp2082) Forge: A Robust Multi-tab Website Fingerprinting Attack via Blind Source Separation — Yitan Huang, Wei Qiao, Ding Wang, Meng Shen, Di Zhao, Linxu Li, Susu Cui, Bo Jiang, Zhigang Lu and Baoxu Liu
(rfp2092) HiFi-WF: Toward Realistic Website Fingerprinting with Multi-tab and Subpage Recognition — Songyang Wu, Chuan Ma, Ming Ding, Long Yuan, Biwen Chen, Yuwen Qian and Tao Xiang
(rfp2143) DIARY: Differentially Private Recovery with Adaptive Privacy Budgets in Federated Unlearning — Hengzhi Wang, Lu Dai, Xianliang Zhang, Haoran Chen, Juncheng Hu and Kun Yang
(rfp2147) ShadowClone: Scalable Decentralized Identity with Cross-Domain Anonymity and Accountable Traceability — Yizhong Liu, Zedan Zhao, Boyu Zhao, Na Wang, Haojun Tan and Jianwei Liu
(rfp2197) FalconScope: Effective and Efficient Detection of Hidden Web Interfaces in IoT Devices — Jiaming Guo, Haoran Yang, Kuihao Yan, Jiekang Hu, Xiaoqi Jia, Haichao Du and Qihang Zhou
(rfp2253) The Asymmetric Vulnerability: Bypassing LLM Defenses via Guardrail-Model Mismatch — Junyi Wang, Zhibin Zhu and Chuanyi Liu
(rfp2261) Bento: Fine-Grained Memory Isolation for COTS WebAssembly Binaries — Oussama Draissi and Lucas Davi
(rfp2265) DeepUL: Deep Unlearning via Model Sparsity — Zhigao Zheng, Kai Yin, Yaowen Kuang, Tao Wang, Yahong Chen, Shihong Yao and Hao Huang
(rfp2358) DSSmoothing: Toward Certified Dataset Ownership Verification for Pre-trained Language Models via Dual-Space Smoothing — Ting Qiao, Xing Liu, Wenke Huang, Jianbin Li, Zhaoxin Fan and Yiming Li
(rfp2360) ARuleCon: Agentic Security Rule Conversion — Ming Xu, Hongtai Wang, Yanpei Guo, Zhengmin Yu, Weili Han, Hoon Wei Lim, Jin Song Dong and Jiaheng Zhang
(rfp2405) SentinelNet: Safeguarding Multi-Agent Collaboration Through Credit-Based Dynamic Threat Detection — Yang Feng and Xudong Pan
(rfp2429) Anti-Phishing Training (Still) Does Not Work: A Reproduction of Phishing Training Inefficacy Grounded in the NIST Phish Scale — Andrew Rozema and James Davis
(rfp2489) Real or Rogue? Detecting Malicious Miniapps with Deceptive Reporting Interface — Yuqing Yang and Zhiqiang Lin
(rfp2521) Reliable Non-Leveled Homomorphic Encryption for Web Services — Baigang Chen and Dongfang Zhao
(rfp2624) Towards Robust Detection of Chinese Toxic Variants via Dynamic Knowledge Graph–LLM Reasoning — Shaochen Yang, Kefei Zhou and Wei Xu
(rfp2726) Acting Flatterers via LLMs Sycophancy: Combating Clickbait with LLMs Opposing-Stance Reasoning — Chaowei Zhang, Xiansheng Luo, Zewei Zhang, Yi Zhu, Jipeng Qiang and Longwei Wang
(rfp2749) DeepSVU: Towards In-depth Security-oriented Video Understanding via Unified Physical-world Regularized MoE — Yujie Jin, Wenxin Zhang, Jingjing Wang and Guodong Zhou
(rfp2788) Greedy Attack: Breaking Finality against VeChain Proof-of-Authority Consensus Protocol — Rujia Li, Qin Wang, Haochen Wang, Xueqian Lu and Sisi Duan
(rfp2818) SPCA: Stream Parser Confusion Attack for Web Application Firewall Evasion in HTTP/2 — Kyungrok Choi, Woonghee Lee and Junbeom Hur
(rfp2840) Distribution-Aligned Synthetic Text Generation via Tail-Aware Enhancement — Yuan Fan, Xiaoyuan Liu, Bo Liu, Wubing Wang, Jia Sun, Wenzhi Chen, Huaikang Fang, Lifeng Tao and Fan Mo
(rfp2949) SemFuzz: A Semantics-Aware Fuzzing Framework for Network Protocol Implementations — Yanbang Sun, Quan Luo, Yuelin Wang, Qian Chen, Benjin Liu, Ruiqi Chen, Qing Huang, Xiaohong Li and Junjie Wang
(rfp2956) DRGW: Learning Disentangled Representations for Robust Graph Watermarking — Jiasen Li, Yanwei Liu, Zhuoyi Shang, Xiaoyan Gu and Weiping Wang
(rfp2992) PrivSniffer: Graph-based Contextual Privacy Leakage Detection for User-Generated Texts — Hangyu Ye, Liyao Xiang, Naixuan Huang, Dongyue Yu, Lijun Zhang and Gang Wang
(rfp3045) Does Ad-Free Mean Less Data Collection? An Empirical Study of Platform Data Practices and User Expectations — Sepehr Mousavi, Abhisek Dash, Savvas Zannettou and Krishna P. Gummadi
(rfp3050) Risk-free Selfish Mining in Hybrid Predictability Model. A Case Study on Polkadot’s NPoS — Mingfei Zhang, Rujia Li, Xinyu Lei and Sisi Duan
(rfp3064) Sybil Attacks on Centrality Measures — Marcin Waniek
(rfp3237) When Reasoning Leaks Membership: Membership Inference Attack on Black-box Large Reasoning Models — Ruihan Hu, Yu-Ming Shang, Wei Luo, Ye Tao and Xi Zhang
(rfp3257) RoFiRe: Robust Website Fingerprinting on Real-World Tor Traffic via Improved Augmentation and Normalization — Haeseung Jeon, Sujin Kim, Nate Mathews, Hosung Kang and Se Eun Oh
(rfp3320) GIANT: Structure-Agnostic Practical Adversarial Attacks for Graph-based Network Intrusion Detection Systems — Jianjin Zhao, Dongqi Han, Chao Ma, Qi Li, Zhiwei Cui, Hongliang Zhu, Hua Zhang, Mingshu He, Yijun Lu, Jiong Dong, Yuyin Ma and Meng Shen
(rfp3328) Beyond Denial-of-Service: The Puppeteer's Attack for Fine-Grained Control in Ranking-Based Federated Learning — Zhihao Chen, Zirui Gong, Jianting Ning, Yanjun Zhang and Leo Yu Zhang
(rfp3386) Balancing Privacy and Security of QNAME Minimisation — Qinxin Li, Zhaohua Wang, Wenhao Wu, Zihan Li, Yiming Xia, Chuan Gao and Zhenyu Li
(rfp3425) Do You Really Know What I Am Doing? Backdoor Attacks on Provenance-Based Intrusion Detection Systems — Shaodi Xie, Wei Yuan, Haoyu Jiang, Zhu Gong, Haoran Wang, Heng Li and Tiejun Wu
(rfp3447) Trust on Reload: Securing Browser-Based End-to-End Encryption — Simon Schwarz, Florian Bauckholt and Leon Trampert
(rfp3464) Fast or Secure? Push the Limit of Privacy Leakage Threat via Charging Side-Channel Attacks — Jiaxin Jiang, Xutong Zhang, Jiahao Li, Leqi Zhao, Zhengxin Guo, Kaiyan Cui, Ming Gao, Jinsong Han and Fu Xiao
(rfp3504) Resisting Manipulative Bots in Meme Coin Copy Trading: A Multi-Agent Approach with Chain-of-Thought Reasoning — Yichen Luo, Yebo Feng, Jiahua Xu and Yang Liu
(rfp3599) PeriNet: Periodic Deep Learning Framework for Modality-Agnostic Privacy Preserving — Yan Zhang, Yihong Song, Manzhou Li, Qiushi Li, Qi Li and Ju Ren
(rfp3717) Inferring Users’ Demographics and Sensitive Interests Using the Topics API — Athicha Srivirote, Muhammad Abu Bakar Aziz, Jeffrey Gleason, Desheng Hu and Christo Wilson
(rfp3755) CogAgent: Self-Evolving Cognitive Agents for Multi-Source Fraud Detection in Heterogeneous Financial Networks — Qianyu Wang, Weiyou Tian, Rong Wang, Wei-Tek Tsai, Tianyu Shi, Zhuang Liu and Tianze Xia
(rfp3759) JANUS: A Dual-Constraint Generative Framework for Stealthy Node Injection Attacks — Jiahao Zhang, Xiaobing Pei, Zhaokun Zhong, Wenqiang Hao and Zhenghao Tang
(rfp3783) The Algorithmic Self-Portrait:Deconstructing Memory in ChatGPT — Abhisek Dash, Soumi Das, Elisabeth Kirsten, Qinyuan Wu, Sai Keerthana Karnam, Krishna P. Gummadi, Thorsten Holz, Muhammad Bilal Zafar and Savvas Zannettou
(rfp3911) Understanding Server-side Commercial Fingerprinting — Elisa Luo, Tom Ritter, Stefan Savage and Geoffrey M Voelker
(rfp4197) Unequal Vulnerability: The Differential Impact of Label Flipping Attacks Across Classes — Pinlong Zhao, Mengyang Li, Pengfei Jiao, Huijun Tang and Ou Wu
(rfp4227) Evasion Under Blockchain Sanctions — Endong Liu, Mark Ryan, Liyi Zhou and Pascal Berrang
(rfp4426) AdVersa: Adversarially-Robust and Practical Ad and Tracker Blocking in the Wild — Chaejin Lim, Kiho Lee, Beomjin Jin, Heewon Baek and Hyoungshick Kim
(rfp4474) Unveiling the Underground Phishing Ecosystem: A 12-Year Longitudinal Study of Deep and Dark Web Forums — Dohee Kim, Zhao Hui, Doowon Kim and Sungjae Hwang
(rfp4558) YouChoose: A Lightweight Anonymous Proof of Account Ownership — Aarav Varshney, Prashant Agrawal and Mahabir Prasad Jhanwar

Semantics and Knowledge

(rfp0134) Bridging Expert Reasoning and LLM Detection: A Knowledge-Driven Framework for Malicious Packages — Wenbo Guo, Shiwen Song, Jiaxun Guo, Zhengzi Xu, Chengwei Liu, Haoran Ou, Mengmeng Ge and Yang Liu
(rfp0153) Multimodal Graph Conditioned Diffusion Model for Video Captioning — Benhui Zhang, Junyu Gao and Yuan Yuan
(rfp0188) HingeMem: Boundary Guided Long-Term Memory with Query Adaptive Retrieval for Scalable Dialogues — Yijie Zhong, Yunfan Gao and Haofen Wang
(rfp0376) Aligning Multiple Knowledge Graphs in A Single Pass — Yaming Yang, Zhe Wang, Ziyu Guan, Wei Zhao, Weigang Lu, Xinyan Huang, Jiangtao Cui and Xiaofei He
(rfp0524) Unifying Deductive and Abductive Reasoning in Knowledge Graphs with Masked Diffusion Model — Yisen Gao, Jiaxin Bai, Yi Huang, Xingcheng Fu, Qingyun Sun and Yangqiu Song
(rfp0564) LHG: LLM-enhanced and Heterogeneous Graph-induced for Unsupervised Social Event Detection — Zitai Qiu, Rongwei Xu, Congbo Ma, Shan Xue, Jian Yang, Guanfeng Liu, Quan Z. Sheng, Amin Beheshti and Jia Wu
(rfp0632) Decoding Web Memorization: A Semantic Membership Inference Attack on LLMs — Zhiyao Wu, Zi Liang and Haibo Hu
(rfp0685) Are LLMs Stable Formal Logic Translators in Logical Reasoning Across Linguistically Diversified Texts? — Qingchuan Li, Jiatong Li, Zirui Liu, Mingyue Cheng, Yitong Zhou, Yuting Zeng, Qi Liu and Tongxuan Liu
(rfp0711) DSTAG: A Semantic Tag-Enhanced Dual-Graph Convolutional Network for Temporal Knowledge Graph Completion — Yuchao Zhang, Xiangjie Kong, Kailun Ye, Shangfei Zheng and Guojiang Shen
(rfp0726) Bridging Semantic Understanding and Popularity Bias with LLMs — Renqiang Luo, Dong Zhang, Yupeng Gao, Wen Shi, Mingliang Hou, Jiaying Liu, Zhe Wang and Shuo Yu
(rfp0857) Plan Then Retrieve: Reinforcement Learning-Guided Complex Reasoning over Knowledge Graphs — Yanlin Song, Ben Liu, Víctor Gutiérrez-Basulto, Zhiwei Hu, Qianqian Xie, Min Peng, Sophia Ananiadou and Jeff Z. Pan
(rfp0955) Multi-Granularity Multi-Modal Knowledge Graph Representation Learning via Subgraph-Aware Adaptive Fusion and Hierarchical Relation Modeling — Peining Li, Meiyu Liang, Wei Huang, Junping Du, Zhe Xue, Guanhua Ye, Wu Liu and Lei Shi
(rfp0991) Matrix as Plan: Structured Logical Reasoning with Feedback-Driven Replanning — Ke Chen, Jiandian Zeng, Zihao Peng, Guo Li, Guangxue Zhang and Tian Wang
(rfp1144) Simple-Sampling and Hard-Mixup with Prototypes to Rebalance Contrastive Learning for Text Classification — Mengyu Li, Yonghao Liu, Fausto Giunchiglia, Ximing Li, Xiaoyue Feng and Renchu Guan
(rfp1145) Grasp: Refining Semantic Graphs into Purified Knowledge for Cross-Modal Communication — Liang Chen, Xiaoding Wang, Limei Lin, Dajin Wang, Zhiquan Liu and Jie Wu
(rfp1151) CausalSKyHop: Knowledge-Aware Causal Explanation of Dynamic GNNs via Higher-Order Semantic Reasoning — Jixuan Wu, Limei Lin, Xiaoding Wang, Kunpeng Xu and Jie Wu
(rfp1157) Traceable Latent Variable Discovery Based on Multi-Agent Collaboration — Huaming Du, Tao Hu, Yijie Huang, Yu Zhao, Guisong Liu, Tao Gu, Gang Kou and Carl Yang
(rfp1188) Conditional Diffusion Guided Knowledge Transfer for Multi-Domain Knowledge Graph Completion — Jiawei Sheng, Taoyu Su, Xixun Lin, Xiaodong Li and Tingwen Liu
(rfp1246) DyLogNet: A Dynamic Multi-Relational Graph Framework for Log Anomaly Detection — Xudong Zhao, Xiaolong Xu, Haolong Xiang, Tong Gao, Lianyong Qi, Amin Beheshti, Xuyun Zhang and Wanchun Dou
(rfp1329) Lifting Manifolds to Mitigate Pseudo-Alignment in LLM4TS — Liangwei Nathan Zheng, Wenhao Liang, Wei Emma Zhang, Miao Xu, Olaf Maennel and Weitong Chen
(rfp1398) MePe: Rethinking Multimodal Chinese Idiom Reading Comprehension from a Metaphorical Perspective — Tongguan Wang, Junkai Li, Feiyue Xue, Hui Liu, Dongyu Su, Wangjun Huang and Ying Sha
(rfp1402) PLIKD: Prompt Learning with Instance-aware Knowledge Distillation for Web-scale Semantic Image Classification — Jianye Xie, Chunhua Hu, Lianyong Qi, Fan Wang, Xiaolong Xu, Haolong Xiang, Xuyun Zhang, Shichao Pei, Amin Beheshti, Wanchun Dou and Xiaokang Zhou
(rfp1508) Dual History Enhancement with Hybrid Hypergraph-Graph Networks for Temporal Knowledge Graph Reasoning — Kailun Ye, Xiangjie Kong, Yuchao Zhang, Xuan Wang, Linan Zhu, Jiaxin Du, Guojiang Shen and Jianxin Li
(rfp1524) GraphCogent: Mitigating LLMs' Working Memory Constraints via Multi-Agent Collaboration in Complex Graph Understanding — Rongzheng Wang, Shuang Liang, Qizhi Chen, Yihong Huang, Muquan Li, Yizhuo Ma, Dongyang Zhang, Ke Qin and Man-Fai Leung
(rfp1651) Neuro-Sym Supporter: A Thoughtful Emotion Support Agent Integrating Neural and Symbolic Policy Learning — Minghui Ma, Bin Guo, Mengqi Chen, Jingqi Liu, Yasan Ding, Yan Liu and Han Wang
(rfp1656) LoSemB: Logic-Guided Semantic Bridging for Inductive Tool Retrieval — Luyao Zhuang, Qinggang Zhang, Huachi Zhou, Yujing Zhang and Xiao Huang
(rfp1751) EMSEdit: Efficient Multi-Step Meta-Learning-based Model Editing — Xiaopeng Li, Shasha Li, Xi Wang, Shezheng Song, Bin Ji, Shangwen Wang, Jun Ma, Xiaodong Liu, Mina Liu and Jie Yu
(rfp1779) When to Trust: A Causality-Aware Calibration Framework for Accurate Knowledge Graph Retrieval-Augmented Generation — Jing Ren, Bowen Li, Ziqi Xu, Xikun Zhang, Haytham Fayek and Xiaodong Li
(rfp1811) Beyond Factual Queries: A Novel Predictive Retrieval-Augmented Generation — Debo Cheng, Jianfeng Deng, Qingfeng Chen, Jinyi Jie and Jiangzhang Gan
(rfp1818) MMTableBench: A Multi-level Multimodal Benchmark for Reasoning and Layout Complexity in Table QA — Xianjie Wu, Xiaohang Xu, Tingyu Jiang, Jian Yang, Di Liang, Xianfu Cheng, Zhenhe Wu, Linzheng Chai, Wei Zhang, Jiaheng Liu, Ge Zhang, Bob Simons, Tongliang Li and Zhoujun Li
(rfp1843) Adaptive Task Balancing for Visual Instruction Tuning via Inter-Task Contribution and Intra-Task Difficulty — Yanqi Dai, Yong Wang, Zebin You, Dong Jing, Xiangxiang Chu and Zhiwu Lu
(rfp1899) Generalized Incremental Learning under Concept Drift across Evolving Data Streams — En Yu, Jie Lu and Guangquan Zhang
(rfp1900) MARCH: Multi-Teacher Contrastive Hypergraph Distillation — Rongwei Xu, Zitai Qiu, Pengfei Ding, Jia Wu, Yan Wang, Amin Beheshti and Guanfeng Liu
(rfp1957) Multimodal Trajectory Representation Learning for Travel Time Estimation — Zhi Liu, Xuyuan Hu, Xiao Han, Zhehao Dai, Zhaolin Deng, Guojiang Shen and Xiangjie Kong
(rfp1977) STARK: Structure-Aware and Adaptive Representation Learning for Continual Knowledge Graph Embedding — Kyunghwan Lee and Dong-Wan Choi
(rfp1994) Large Language Model for OWL Proofs — Hui Yang, Jiaoyan Chen and Uli Sattler
(rfp2018) Unlearning of Knowledge Graph Embedding via Preference Optimization — Jiajun Liu, Wenjun Ke, Peng Wang, Yao He, Ziyu Shang, Guozheng Li, Zijie Xu and Ke Ji
(rfp2100) Missingness-aware Federated Contrastive Learning on Semantic Graphs — Shuo Yu, Zhuoyang Han, Guoqing Han, Tao Tang, Feng Ding and Qiang Zhang
(rfp2161) CASE: Conflict-assessed Knowledge-sensitive Neuron Tuning for Lifelong Model Editing — Zhange Zhang, Yuqing Ma, Yulong Wang, Tianbo Wang, Jiakai Wang, Simin Li and Xianglong Liu
(rfp2246) ReaLM: Residual Quantization Bridges Knowledge Graph Embeddings and Large Language Models — Wenbin Guo, Xin Wang, Jiaoyan Chen, Lingbing Guo, Zhao Li and Zirui Chen
(rfp2275) Adaptive Multi-Interaction Web Semantic Graph Representation — Feng Ding, Tingting Wang, Ruolin Li, Ying Jin, Junxiang Zhang, Shan Jin, Yicong Li and Xin Ye
(rfp2287) Counterfactual Augmented Causal Reasoning for Aspect-Based Sentiment Analysis — Yiming Wu, Liang Hu, Mingzhu Zhou, Tangwei Ye, Xuejie Yang, Xun Yang, Zhongyuan Lai, Qi Zhang and Usman Naseem
(rfp2311) Conditional Information Extraction with Diffusion Model on Fact-Condition Star Graph — Yunxiao Yang, Jianting Chen, Xiaoying Gao, Zaiyuan Di and Yang Xiang
(rfp2324) RAIE:Region-Aware Incremental Preference Editing with LoRA for LLM-based Recommendation — Jin Zeng, Yupeng Qi, Hui Li, Chengming Li, Ziyu Lyu, Lixin Cui and Lu Bai
(rfp2337) Enhancing Multi-Modal Entity Alignment via Multi-Grained Decision Fusion — Yu Xing, Qizhuo Xie, You Lv, Ziyang Zhou, Qianzi Hou, Qing Gu, Bin Chong and Tieke He
(rfp2375) S-Path-RAG: Semantic-Aware Shortest-Path Retrieval Augmented Generation for Multi-Hop Knowledge Graph Question Answering — Rong Fu, Yemin Wang, Tianxiang Xu, Yongtai Liu, Weizhi Tang, Wangyu Wu, Xiaowen Ma and Simon Fong
(rfp2533) Language Model Representations for Efficient Few-Shot Tabular Classification — Inwon Kang, Parikshit Ram, Yi Zhou, Horst Samulowitz and Oshani Seneviratne
(rfp2548) Relation-Aware Multimodal Analogical Reasoning with Modality Fingerprints and Adaptive Gating — Ruofan Wang, Zijian Huang, Qiqi Wang, Yuchen Su, Robert Amor, Kaiqi Zhao and Meng-Fen Chiang
(rfp2632) Harnessing LLM for Noise-Robust Cognitive Diagnosis in Web-Based Intelligent Education Systems — Guixian Zhang, Guan Yuan, Ziqi Xu, Yanmei Zhang, Jing Ren, Zhenyun Deng and Debo Cheng
(rfp2703) DTransKT: A Dual Transferable Knowledge Tracing Framework for Cross-Disciplinary Self-Adaptation — Kun Liang, Jiake Ge, Xin Wang and Yiying Zhang
(rfp2724) DRMD: Explainable Depression Detection Based on Metaphorical Conceptual Mapping — Dongyu Zhang, Wanqiu Liao, Weichen Hu and Hongfei Lin
(rfp2893) Spectral Disentanglement and Enhancement: A Dual-domain Contrastive Framework for Representation Learning — Jinjin Guo, Yexin Li, Zhichao Huang, Jun Fang, Zhiyuan Liu, Chao Liu, Pengzhang Liu and Qixia Jiang
(rfp2908) Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs — Zhaoyu Fan, Kaihang Pan, Mingze Zhou, Bosheng Qin, Juncheng Li, Shengyu Zhang, Wenqiao Zhang, Siliang Tang, Fei Wu and Yueting Zhuang
(rfp2914) Verifiable Federated Representation Learning for Cross-domain Sequential Recommendation — Tao Tang, Botao Liu, Ciyuan Peng, Ivan Lee and Xiangjie Kong
(rfp2915) Kleene Closure Property Path Query Optimization Based on Node Clustered Index — Tenglong Ren, Lulu Yang, Xiaowang Zhang and Zhiyong Feng
(rfp3003) How Human Experts Educate Specialized LLMs: Filling Knowledge Gaps in KG-Augmented Generation through Hallucination Detection — Chaofan Li, Lixing Chen, Junhua Tang, Yang Bai, Yutong Zhang, Zhi Zheng, Pan Zhou and Zhe Qu
(rfp3005) AgentPRM: Process Reward Models for LLM Agents via Step-Wise Promise and Progress — Zhiheng Xi, Chenyang Liao, Guanyu Li, Zhihao Zhang, Wenxiang Chen, Binghai Wang, Senjie Jin, Yuhao Zhou, Jian Guan, Wei Wu, Tao Ji, Tao Gui, Qi Zhang and Xuanjing Huang
(rfp3136) A Simplex Approach to Synthetic Knowledge Graph Generation — Ana Alexandra Morim da Silva, Atul Bhopalsing Pundir, Michael Röder and Axel-Cyrille Ngonga Ngomo
(rfp3141) Detecting Miscitation on the Scholarly Web through LLM-Augmented Text-Rich Graph Learning — Huidong Wu, Haojia Xiang, Jingtong Gao, Xiangyu Zhao, Dengsheng Wu and Jianping Li
(rfp3199) MemoTime: Memory-Augmented Temporal Knowledge Graph Enhanced Large Language Model Reasoning — Xingyu Tan, Xiaoyang Wang, Qing Liu, Xiwei Xu, Xin Yuan, Liming Zhu and Wenjie Zhang
(rfp3315) DyMRL: Dynamic Multispace Representation Learning for Multimodal Event Forecasting in Knowledge Graph — Feng Zhao, Kangzheng Liu, Teng Peng, Yu Yang and Guandong Xu
(rfp3329) Empowering LLMs for Structure-Based Drug Design via Exploration-Augmented Latent Inference — Xuanning Hu, Anchen Li, Qianli Xing, Jinglong Ji, Hao Tuo and Bo Yang
(rfp3367) PRoH: Dynamic Planning and Reasoning over Knowledge Hypergraphs for Retrieval-Augmented Generation — Xiangjun Zai, Xingyu Tan, Xiaoyang Wang, Qing Liu, Xiwei Xu and Wenjie Zhang
(rfp3389) A Unified and Time-Efficient Multi-Agent Framework for Data Discovery — Yunhao Xiao, Ying Wang, Michael Bewong, Selasi Kwashie, Xiaoxia Li and Zaiwen Feng
(rfp3526) Expectation-Guided Self-Verification for Aligning Large Reasoning Models with Domain Knowledge — Han Zhang, Chen Zhao, Shasha Wang, Gang Chen and Chenghong Zhang
(rfp3671) KG-BiLM: Knowledge Graph Embedding via Bidirectional Language Models — Zirui Chen, Xin Wang, Zhao Li, Wenbin Guo, Dongxiao He, Yanbing Li and Wushour Silamu
(rfp3728) Incentivizing Agentic Reasoning Capability with Outcome Supervision for Knowledge Base Question Answering — Zhuo Chen, Fei Wang, Zixuan Li, Zhao Zhang, Weiwei Ding, Chuanguang Yang, Yongjun Xu and Xiaolong Jin
(rfp3788) A Unified Framework for Rule Learning: Integrating Commonsense Knowledge from LLMs with Structured Knowledge from Knowledge Graphs — Qirui Hao, Kewei Cheng, Tongze Zhang, Hongyuan Liu, Junming Shao and Carl Yang
(rfp3795) TaxoBell: Gaussian Box Embeddings for Self-Supervised Taxonomy Expansion — Sahil Mishra, Srinitish Srinivasan, Srikanta Bedathur and Tanmoy Chakraborty
(rfp3839) Learning to Route: A Rule-Driven Agent Framework for Hybrid-Source Retrieval-Augmented Generation — Haoyue Bai, Haoyu Wang, Shengyu Chen, Zhengzhang Chen, Lu-An Tang, Wei Cheng, Yanjie Fu and Haifeng Chen
(rfp3851) MixRAG : Mixture-of-Experts Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering — Lihui Liu, Jiayuan Ding, Subhabrata Mukherjee and Carl Yang
(rfp3901) AdaQE-CG: Adaptive Query Expansion for Web-Scale Generative AI Model and Data Card Generation — Haoxuan Zhang, Ruochi Li, Zhenni Liang, Sattari Mehri, Phat Vo, Collin Qu, Ting Xiao, Junhua Ding, Yang Zhang and Haihua Chen
(rfp4002) Learning to Evolve: Bayesian-Guided Continual Knowledge Graph Embedding — Linyu Li, Zhi Jin, Yuanpeng He, Dongming Jin, Yichi Zhang, Haoran Duan, Xuan Zhang, Zhengwei Tao and Tashi Nyima
(rfp4030) Dual-View Hypercube Alignment Framework for Open-World Entity Typing — Hu Chen, Yu Zhu and Wei Shen
(rfp4039) WiNELL: Wikipedia Never-Ending Updating with LLM Agents — Revanth Gangi Reddy, Tanay Dixit, Jiaxin Qin, Cheng Qian, Daniel Lee, Jiawei Han, Kevin Small, Xing Fan, Ruhi Sarikaya and Heng Ji
(rfp4054) Counterfactual Meta-task Augmentation for Few-shot Graph Node Classification — Zhiqiang Wang, Jiaxin Zhang, Chenchao Zhang, Shiying Cheng, Jianqing Liang and Peng Song
(rfp4128) Node Role-Guided LLMs for Dynamic Graph Clustering — Dongyuan Li, Ying Zhang, Yaozu Wu and Renhe Jiang
(rfp4268) Towards Foundation Models for MMKG: Multi-Task Inductive Generalization via Task-Aware Routing — Shundong Yang, Jing Yang, Xiaowen Jiang, Xiaofen Wang, Laurence T. Yang, Yuan Gao, Xinfa Jiang, Jie Chen and Chaojun Zhang
(rfp4371) Knowledge-Enhanced Multimodal Fake News Detection: Semantic Visual and Priority Fusion — Qin Zhang, Jiaying Liu, Qian Tao, Zhiwei Guo, Qiyue Zhong, Yifan Zhang and Ziyan Huang
(rfp4498) BLEND: Balanced and Leaf-Enhanced Dual Fine-Tuning for Taxonomy Completion — Pankaj Iiitd, Dhruv Kumar, Vinayak Abrol and Vikram Goyal
(rfp4567) Beyond Single Pass, Looping Through Time: KG-IRAG with Iterative Knowledge Retrieval — Ruiyi Yang, Hao Xue, Imran Razzak and Flora D. Salim

Social Networks and Social Media

(rfp0126) Many Hands Make Light Work: Group-based Information Diffusion Prediction over Long-Context Cascades — Zihan Feng, Yajun Yang, Xin Huang, Xin Wang, Hong Gao and Qinghua Hu
(rfp0282) Collusion-Aware Set-level Learning Framework for Detecting Spamming Activities — Yuli Liu
(rfp0310) The Devil Within, The Cure Without: Securing Locally Private Graph Learning under Poisoning — Longzhu He, Peng Tang, Li Sun and Sen Su
(rfp0347) Open or Blocked Skies? Community Moderation Practices in Bluesky — Saidu Sokoto, Leonhard Balduf, Onur Ascigil, Gareth Tyson, Ignacio Castro, Björn Scheuermann, Andrea Baronchelli and Michał Król
(rfp0381) H-NeiFi: Non-Invasive and Consensus-Efficient Multi-Agent Opinion Guidance — Shijun Guo, Haoran Xu, Yaming Yang, Ziyu Guan, Wei Zhao, Zhang Xinyi and Song Yishan
(rfp0570) Effective and Unsupervised Social Event Detection and Evolution via RAG and Structural Entropy — Qitong Liu, Hao Peng, Zuchen Li, Xihang Meng, Ziyu Yang, Jiting Li, Li Sun and Philip Yu
(rfp0729) FairGE: Fairness-Aware Graph Encoding in Incomplete Social Networks — Renqiang Luo, Huafei Huang, Tao Tang, Jing Ren, Ziqi Xu, Mingliang Hou, Enyan Dai and Feng Xia
(rfp0747) Explaining Synergistic Effects in Social Recommendations — Yicong Li, Shan Jin, Qi Liu, Shuo Wang, Jiaying Liu, Shuo Yu, Qiang Zhang, Kuanjiu Zhou and Feng Xia
(rfp0920) Graph Adversarial Defense via Hilbert-Schmidt Independence Criterion against Influence Maximization Attacks — Yuxing Guo, Jianqing Liang, Kaixuan Yao, Zhihao Guo and Jiye Liang
(rfp1085) Multi-task Inference of Diffusion Networks — Ting Gan, Kudereti Kuerban, Qian Yan, Ling Han, Zhigao Zheng and Hao Huang
(rfp1127) Social Event Prediction via Fourier Graph Learning — Mingjie Qiu, Zhiyi Tan and Bing-Kun Bao
(rfp1133) Towards Rare Social Event Prediction via Mediator Learning — Mingjie Qiu, Zhiyi Tan and Bing-Kun Bao
(rfp1466) Rhythm of Opinion: Interpretable Hawkes-Graph Networks for Hierarchical Opinion Propagation — Yulong Li, Zhixiang Lu, Peixin Guo, Simin Lai, Yuxuan Zhang, Haochen Xue, Xiwei Liu, Yichen Li, Zhaodong Wu, Feilong Tang, Mian Zhou, Chong Li, Imran Razzak, Qingxia Li and Jionglong Su
(rfp1934) FS_GPlib: Breaking the Web-Scale Barrier — A Unified Acceleration Framework for Graph Propagation Models — Chang Guo, Juyuan Zhang, Chang Su, Tianlong Fan and Linyuan Lü
(rfp1982) Beyond Words: Enhancing Desire, Emotion, and Sentiment Recognition with Non-Verbal Cues — Wei Chen, Tongguan Wang, Feiyue Xue, Junkai Li, Hui Liu and Ying Sha
(rfp2045) Pattern-aware Illicit Account Detection based on User Behavior Sequences — Zehao Wang, Lanjun Wang, Fuxia Guo and Yanjie Dong
(rfp2049) Source Localization in Continuous-Time Propagation via Spectral ODE Modeling — Dongpeng Hou, Yuchen Wang, Giulio Cimini, Roberto Benzi, Huixiang Zhang, Zhen Wang and Chao Gao
(rfp2136) TFWaveFormer: Temporal-Frequency Collaborative Multi-level Wavelet Transformer for Dynamic Link Prediction — Hantong Feng, Yonggang Wu, Duxin Chen and Wenwu Yu
(rfp2272) CIFAD: Causal-Invariant Subspace Learning for Few-Shot Anomaly Detection on Dynamic Relational Graphs — Xiao Yu, Haolong Xiang, Xiaolong Xu, Qi Lianyong, Zhang Xuyun, Fan Wei and Dou Wanchun
(rfp2316) Fair k-Center Clustering on Massive Social Network Data Streams — Longkun Guo, Chaoqi Jia and Chao Chen
(rfp2437) How Social Media Peer Comments Influence Privacy Decisions in Photo Sharing: Context and Individual Differences Cause Comments to Backfire — Tangila Islam Tanni, Renita Washburn, Yan Solihin and Mary Jean Amon
(rfp2581) Unmasking Bots in Higher Dimensions: Message Passing over Simplexes for Bot Detection — Fangfang Li, Huihui Zhang, Xin Zhang and Wei Wu
(rfp2584) Unicoon: Hypergraph-based Multi-Agent Simulation of Information Cocoons — Chunyu Wei, Tu Yongsiqi and Yunhai Wang
(rfp2642) Prism: Towards Lowering User Cognitive Load in LLMs via Complex Intent Understanding — Zenghua Liao, Jinzhi Liao and Xiang Zhao
(rfp2669) TGSBM: Transformer-Guided Stochastic Block Model for Link Prediction — Zhejian Yang, Songwei Zhao, Zilin Zhao and Hechang Chen
(rfp2723) LAPS: A Lightweight Privilege-Allocation Prompting Framework for Source Localization — Hengrui Cui, Yang Fang, Yuehang Cao and Xiang Zhao
(rfp2962) ContiGuard: A Framework for Continual Toxicity Detection Against Evolving Evasive Perturbations — Hankun Kang, Xin Miao, Jianhao Chen, Jintao Wen, Mayi Xu, Weiyu Zhang, Wenpeng Lu and Tieyun Qian
(rfp3028) PolicySim: An LLM-Based Agent Social Simulation Sandbox for Proactive Policy Optimization — Renhong Huang, Ning Tang, Jiarong Xu, Yuxuan Cao, Qingqian Tu, Sheng Guo, Bo Zheng, Huiyuan Liu and Yang Yang
(rfp3159) Securing Your Place in the Review Network: A Dynamic Embeddedness-aware Graph Neural Network for Restaurant Survival Prediction — Yilong Zang, Hengyun Li, Xinbo Yu and Liangfei Qiu
(rfp3193) Emergent Coordinated Behaviors in Networked LLM Agents: Modeling the Strategic Dynamics of Information Operations — Gian Marco Orlando, Jinyi Ye, Valerio La Gatta, Mahdi Saeedi, Vincenzo Moscato, Emilio Ferrara and Luca Luceri
(rfp3266) From Social Media to Psychological Scale: An Adaptive Framework with Two-Hop Retrieval for Depression Screening — Yangyang Xu, Jinpeng Hu, Peipei Song, Zhangling Duan and Xun Yang
(rfp3570) Playing Close to the Vest: Competitive Information Propagation in Partially Observed Dual-Population Mean-Field Games — Dun Tan, Lixing Chen, Bo Zhang, Hongfu Liu, Hao Peng, Shenghong Li, Yang Bai and Pan Zhou
(rfp3590) Fairness in Opinion-Formation Dynamics — Nikos Theologis, Evaggelia Pitoura, Evimaria Terzi and Panayiotis Tsaparas
(rfp3643) LLM-Driven Semantic ID for Information Diffusion Prediction — Haoshuang Liu, Zihan Feng, Yajun Yang, Xin Wang, Hong Gao and Qinghua Hu
(rfp3714) SoftHateBench: Evaluating Moderation Models Against Reasoning-Driven, Policy-Compliant Hostility — Xuanyu Su, Diana Inkpen and Nathalie Japkowicz
(rfp3715) Tracing Belief-Driven Thoughts with Theory-of-Mind Agents: An Opinion Analysis Framework — Jintao Wen, Yunfeng Ning, Hankun Kang, Xin Miao and Tieyun Qian
(rfp3862) DREAMS: A Social Exchange Theory-Informed Modeling of Misinformation Engagement on Social Media — Lin Tian and Marian-Andrei Rizoiu
(rfp4070) Cross-Platform Narrative Prediction: Leveraging Platform-Invariant Discourse Networks — Patrick Gerard, Luca Luceri, Leonardo Blas and Emilio Ferrara
(rfp4260) They Said Memes Were Harmless --- We Found the Ones That Hurt: Decoding Jokes, Symbols, and Cultural References — Sahil Tripathi, Gautam Siddharth Kashyap, Mehwish Nasim, Jian Yang, Jiechao Gao and Usman Naseem
(rfp4425) Relational Database Distillation: From Structured Tables to Condensed Graph Data — Xinyi Gao, Jingxi Zhang, Lijian Chen, Tong Chen, Lizhen Cui and Hongzhi Yin
(rfp4488) LLMs Killed Q&A Stars? Analyzing the Impact of LLM-Generated Answers on an Online Q&A Platform — Dongwon Shin and Sooel Son
(rfp4499) DynaFLUX: Implicit Dynamics-Preserving Reinforcement Learning for Topology-Free Influence Maximization — Daiyunke Zhang, Ting Deng, Tianchen Zhu, Shuai Ma, Daqing Li, Mingtian Peng and Feng Tian

Systems and Infrastructure for Web, Mobile, and Web of Things

(rfp0028) Smaller but Better: Plasticity-Preserving Continual Learning for Embedded AI — Chenxin Mao, Haibo Liu, Zhenzhe Zheng, Fan Wu and Guihai Chen
(rfp0042) Cross-city Time Series Forecasting with Retrieval-Augmented Large Language Models — Yue Jiang, Chenxi Liu, Yile Chen, Qin Chao, Shuai Liu, Cheng Long and Gao Cong
(rfp0137) FedBridge: Accelerating Edge-Assisted Federated Learning for Model-Heterogeneous Clients — Kaibin Wang, Qiang He, Zeqian Dong, Ziteng Wei, Caslon Chua, Feifei Chen, Hai Jin and Yun Yang
(rfp0263) Beyond Single view Decoding: Dual-view Map Inference from Trajectories via Primal-Dual Graphs Co-generation — Wenyu Wu, Jiafan Liu and Jiali Mao
(rfp0368) Glasses: Enabling Fast Environment-aware Few-Shot Learning via Device-Cloud Collaboration — Qiang He, Sheng Zhong, Jiazhen Yang, Feifei Chen, Hai Jin and Yun Yang
(rfp0491) Macro-Micro Collaborative Learning for Logical Data Center Microservice Indicators Forecasting — Mohan Gao, Zhemeng Yu, Yang Luo, Lintao Ma, Yinbo Sun, Yuchen Fang and Xiaofeng Gao
(rfp0500) Task-Aware Cloud-End Offloading for Vision-Language Model Serving via Dynamic Modality-Specific Adapter Scheduling — Zian Wang, Ziyi Wang, Jie Xing, Yaya Wei, Ziyan Zhong and Lanshan Zhang
(rfp0513) SkyCL: Swift Continuous Learning with Kinship-Awareness for Multi-Drone Video Analytics under Drastic Drift — Yuanzheng Tan, Qing Li, Jiaqi Cui, Jun Peng, Gareth Tyson, Zhenhui Yuan, Tingting Yang and Yong Jiang
(rfp0521) ST-LEGO: Large Language Models as Modular Architects for Traffic Prediction — Shuhao Li, Weidong Yang, Yue Cui, Lipeng Ma, Yixuan Li, Chaoteng Wu, Lu Qin and Fan Zhang
(rfp0542) Meteor: High-Performance Control Message Delivery for Large-Scale Clouds — Gongming Zhao, Baoqing Wang, Min Chen, Hongli Xu, Jiawei Liu, Xuwei Yang, Liguang Xie, Yongqiang Yang and Ying Xiong
(rfp0561) MASI: Memory-Adaptive Inference Framework for Spiking Neural Networks on Edge Devices — Di Yu, Helin Zheng, Changze Lv, Xin Du, Linshan Jiang, Xiang Liu, Gang Pan and Shuiguang Deng
(rfp0589) FedRGL: Federated Riemannian Graph Learning in Mixed-Curvature Spaces with Ricci-Gated Convolution — Haizhou Du, Haolin Wu, Zijie Zhu and Zicheng Shi
(rfp0595) FedSRD: Sparsify-Reconstruct-Decompose for Communication-Efficient Federated Large Language Models Fine-Tuning — Guochen Yan, Luyuan Xie, Qingni Shen, Yuejian Fang and Zhonghai Wu
(rfp0613) Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures — Yicheng Zhang, Zhen Qin, Zhaomin Wu, Jian Hou and Shuiguang Deng
(rfp0628) MoE-LC: General-Purpose Lossless Compression for Multi-modal Data via Entropy-Aware Multi-Experts — Zeyi Lu, Xiaoxiao Ma, Yujun Huang, Minxiao Chen, Bin Chen and Shu-Tao Xia
(rfp0705) TraceLLM: Evaluating and Exploring Large Language Models on Trace Analysis in Microservice-based Web Applications — Tong Zhou, Xin Peng, Jie Zhang, Chaofeng Sha, Chenxi Zhang, Zicheng Yuan and Senyu Xie
(rfp0739) TimeMar: Multi-Scale Autoregressive Modeling for Unconditional Time Series Generation — Xiangyu Xu, Qingsong Zhong and Jilin Hu
(rfp0893) Broken Promise: Differential Analysis of Functional Discrepancies Between WebAssembly and Native Binaries — Xiao Wu, Alan Romano, Liyan Huang, Qiwen Yan, Cai Fu and Weihang Wang
(rfp1024) Self-Speculative Decoding for On-device MoE Acceleration — Peirong Zheng, Wenchao Xu and Haozhao Wang
(rfp1111) Investigating Web Content Delivery Performance over Starlink — Rohan Bose, Jinwei Zhao, Tanya Shreedhar, Jianping Pan and Nitinder Mohan
(rfp1131) Augmenting Cross-View Geo-Localization with Spatial Semantics from Vision Foundation Models — Ji Shen, Lixing Chen, Yang Bai, Zhongqi Miao, Zhe Qu, Pan Zhou and Jianhua Li
(rfp1199) HeteroSim: Towards High-Fidelity Heterogeneous LLM Training Simulation on GPUs — Xiaofei Yue, Fangming Zhao, Fulun Ye, Jiongchi Yu, Zhaoxuan Li, Tingting Li, Ziming Zhao and Jianwei Yin
(rfp1220) Curiosity Driven Knowledge Retrieval for Mobile Agents — Sijia Li, Xiaoyu Tan, Shahir Ali, Niels Schmidt, Gengchen Ma and Xihe Qiu
(rfp1247) EcoTune: Edge-Cloud Collaborative Model Adaptation for Budget-Constrained On-Device SLM Personalization — Gong Chen, Mingkai Lin, Xiaobin Hong, Wenzhong Li and Sanglu Lu
(rfp1250) Breath: Adaptive Protection Boundary in FEC Encoding for Mobile Real-Time Video Streaming — Shiyang Huang, Gerui Lv, Yuankang Zhao, Jiaxing Zhang, Qingyue Tan, Congkai An, Huanhuan Zhang, Xinyi Zhang, Qinghua Wu and Zhenyu Li
(rfp1339) Prototype Augmentation-based Edge-end Heterogeneous Collaborative Learning — Enze Yu, Penghuan Cheng, Haipeng Dai, Haihan Zhang, Sujin Hou, Meng Li, Zhenzhe Zheng, Qiang He and Guihai Chen
(rfp1410) WinFLoRA: Incentivizing Client-Adaptive Aggregation in Federated LoRA under Privacy Heterogeneity — Mengsha Kou, Xiaoyu Xia, Ziqi Wang, Ibrahim Khalil, Ruikun Luo, Jingwen Zhou and Minhui Xue
(rfp1502) Wiseswap: Elastic Datacenter Network-Aware Disaggregated Memory for Multi-Tenant Cloud — Mingxuan Liu, Jianhua Gu, Tianhai Zhao and Dong Sun
(rfp1539) Octopus: Vehicle-to-Road Collaborative Perception for Autonomous Driving with Closed-Loop Fusion — Ruikun Luo, Jiadong Zhao, Peize Su, Jieming Yang, Jing Yang, Yuan Gao, Minhui Xue and Xiaoyu Xia
(rfp1556) Beyond Class Boundaries: Federated Visual Primitive Sharing with Text-Guided Adaptation — Yongqiang Huang, Yingyu Chen, Tao Wang, Zexin Lu, Zerui Shao, Beibei Li and Yi Zhang
(rfp1562) ViTs: Teaching Machines to See Time Series Anomalies Like Human Experts — Zexin Wang, Changhua Pei, Yang Liu, Hengyue Jiang, Quan Zhou, Haotian Si, Hang Cui, Jianhui Li, Gaogang Xie, Jingjing Li and Dan Pei
(rfp1610) FedDiG: Frequency-Guided Diffusion Diversity for Generalizable Federated Time Series Classification — Haoran Shi, Junru Zhang, Cheng Peng, Xiaoli Tang, Longtao Huang and Han Yu
(rfp1622) FSDI: Frequency-Shaped Diffusion For Time-Series Imputation — Wangmeng Shen, Hongfan Gao, Qingsong Zhong, Dingli Xu and Jilin Hu
(rfp1631) Automated Model Selection for Multivariate Time Series Forecasting — Xiaoxuan Fan, Jiaqi Sun, Xianjun Deng, Qiankun Zhang, Wei Xiang, Shenghao Liu and Lingzhi Yi
(rfp1659) Energy-Efficient and Dequantization-Free Quantization of LLMs: A Spiking Neural Network Approach to Salient Value Mitigation — Chenyu Wang, Zhanglu Yan, Zhi Zhou, Xu Chen and Weng-Fai Wong
(rfp1675) RAFed: Responsive Augmentation and Approximate Update Method for Federated Learning with Non-IID Data — Yicheng Di and Zhanjie Zhang
(rfp1700) Enhancing Federated Class-Incremental Learning via Spatial-Temporal Statistics Aggregation — Zenghao Guan, Guojun Zhu, Yucan Zhou, Wu Liu, Weiping Wang, Jiebo Luo and Xiaoyan Gu
(rfp1707) HALO: Hierarchical Reinforcement Learning for Large-Scale Adaptive Traffic Signal Control — Yaqiao Zhu, Hongkai Wen, Geyong Min and Man Luo
(rfp1813) Starlink in the Wild: Multi-Perspective Measurements via DNS — Ruoxuan Xia, Bingyu Li, Zhenyu Chen, Pengyu Yuan, Yunjia Wang, Xiaofeng Zheng and Jingqiang Lin
(rfp1861) Can Multimodal LLMs Perform Time Series Anomaly Detection? — Xiongxiao Xu, Haoran Wang, Yueqing Liang, Philip S. Yu, Yue Zhao and Kai Shu
(rfp1912) LaTune: Lightweight and Adaptive Configuration Tuning for LLM Inference on Edge Devices — Siqi Zhong, Mugeng Liu, Haiyang Shen, Chongyang Pan and Yun Ma
(rfp1937) FedAKD: Federated Adaptive Knowledge Distillation via Global Knowledge Calibration and Decoupling — Yingchao Wang, Wenqi Niu and Hanpo Hou
(rfp1985) EdgeGen: Efficient LLM-Empowered Model Generation with Quantization-Aware NAS — Yingqi Peng, Wenhao Zhou, Kaijie Gong, Yang Liu, Yi Gao and Wei Dong
(rfp2064) AgentSense: LLMs Empower Generalizable and Explainable Web-Based Participatory Urban Sensing — Xusen Guo, Mingxing Peng, Xixuan Hao, Xingchen Zou, Qiongyan Wang, Sijie Ruan and Yuxuan Liang
(rfp2104) MF^3: Multimodal Federated Learning with Dual-Path Mamba-Transformer for Metro Flow Prediction — Bingjie Wang, Chao Zhang, Wentao Li and Deyu Li
(rfp2120) An LLM-Powered Cooperative Framework for Large-Scale Multi-Vehicle Navigation — Yuping Zhou, Siqi Lai, Jindong Han and Hao Liu
(rfp2308) Alzo: Auto-Tuning with Reinforcement Learning for DAG-based Blockchains — Qiuyu Ding, Rongkai Zhang, Qinnan Zhang, Zhen Xiao, Jieyi Long, Mingchao Wan, Sen Liu and Jin Dong
(rfp2391) TRACE: Trajectory Recovery with State Propagation Diffusion for Urban Mobility — Jinming Wang, Hai Wang, Hongkai Wen, Geyong Min and Man Luo
(rfp2443) Concordia: Enabling Low-Conflict Distributed Transaction Scheduling in Sharding Blockchain via Cooperative Perception — Yanxiu Liu, Linpeng Jia, Xiaohu Yang, Zhongcheng Li and Yi Sun
(rfp2577) SecureSplit: Mitigating Backdoor Attacks in Split Learning — Zhihao Dou, Dongfei Cui, Weida Wang, Anjun Gao, Yueyang Quan, Mengyao Ma, Viet Vo, Guangdong Bai, Zhuqing Liu and Minghong Fang
(rfp2587) BeeQoS: A Cloud-Native QoS System for Adaptive and Scalable Multi-Priority Bandwidth Guarantees — Jinyao Liu, Si Wu, Haoyuan Ma, Chaoqun Li, Hongjing Yu, Dingyi Jia, Feng Li and Pengfei Hu
(rfp2601) Predictability-Aware Compression and Decompression Framework for Multichannel Time Series Data with Latent Seasonality — Ziqi Liu, Pei Zeng and Yi Ding
(rfp2880) Fate: Fast Edge Inference of Mixture-of-Experts Models via Cross-Layer Gate — Zhiyuan Fang, Xingfan Yu, Yuegui Huang, Zicong Hong, Yufeng Lyu, Wuhui Chen, Yue Yu and Fan Yu
(rfp2901) BIND: Enabling Continuous Transaction Processing During Account Migration in Sharded Blockchains — Jiahao Qi, Dian Ding, Jie Li, Jiannong Cao, Yi-Chao Chen, Guangtao Xue and Shengyun Liu
(rfp2924) Camel: Frame-Level Bandwidth Estimation for Low-Latency Live Streaming under Video Bitrate Undershooting — Liming Liu, Zhidong Jia, Li Jiang, Wei Zhang, Lan Xie, Feng Qian, Leju Yan, Bing Yan, Qiang Ma, Zhou Sha, Wei Yang, Yixuan Ban and Xinggong Zhang
(rfp3034) Adaptive Model and Strategy Routing for Cost-Efficient LLM Services — Zhihong Pan, Kai Zhang, Yuze Zhao and Yupeng Han
(rfp3091) DualDis: A Dual Disentanglement Network for Vehicle Re-identification — Wenying He, Feiyu Wang, Guangquan Xu, Yude Bai and Fei Guo
(rfp3384) CoLOR-DP: Conjugate Low-Rank Differential Privacy for Structure-Aware LoRA Fine-Tuning — Kai Zhang, Yuxuan Xu, Wenxiang Lin, Chaoqun Hong, Pei-Wei Tsai, Xin Yuan and Minhui Xue
(rfp3405) CA-PFL: Client-adaptive Parameter-efficient Fine-tuning for Personalized Federated Learning — Daixin Song, Hui Cai, Haojie Zhang, Biyun Sheng, Jian Zhou, Mang Ye and Fu Xiao
(rfp3467) MetaKube: An Experience-Aware LLM Framework for Kubernetes Failure Diagnosis — Wei Sun, Ting Wang, Xinran Tian, Wanshun Lan, Xuhan Feng, Haoyue Li and Fangxin Wang
(rfp3520) Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification — Xu Zhang, Peng Wang, Yichen Li and Wei Wang
(rfp3531) SEMixer: Semantics Enhanced MLP-Mixer for Multiscale Mixing and Long-term Time Series Forecasting — Xu Zhang, Qitong Wang, Peng Wang and Wei Wang
(rfp3556) FovRL: Joint Foveation and Quality Control for Immersive VR Streaming Using Reinforcement Learning — Yuk Hang Tsui, Ze Wu, Ahmad Alhilal, Matti Siekkinen and Pan Hui
(rfp3575) SuperEar: Eavesdropping on Mobile Voice Calls via Stealthy Acoustic Metamaterials — Zhiyuan Ning, Zhanyong Tang, Juan He, Weizhi Meng, Yuntian Chen, Jie Zhang and Zheng Wang
(rfp3866) A Structure-Agnostic Co-Tuning Framework for LLMs and SLMs in Cloud-Edge Systems — Yuze Liu, Yunhan Wang, Tiehua Zhang, Zhishu Shen, Cheng Peng, Libing Wu, Feng Xia and Jiong Jin
(rfp3981) FediScan: Collaborative Social Bot Detection in the Fediverse — Min Gao, Wen Wen, Haoran Du, Qiang Duan, Yu Xiao, Yupeng Li, Xin Wang, Pan Hui and Yang Chen
(rfp4535) FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Clients — Dezhong Yao, Tongtong Liu, Yuexin Shi and Zhiqiang Xu

User Modeling, Personalization and Recommendation

(rfp0016) ThinkRec: Thinking-based recommendation via LLM — Qihang Yu, Kairui Fu, Zheqi Lv, Shengyu Zhang, Xinhui Wu, Chen Lin, Feng Wei, Bo Zheng and Fei Wu
(rfp0111) Adaptive Graph Reweighting for Collaborative Filtering — Yijun Sheng, Ximing Chen, Pui Ieng Lei, Yanyan Liu and Zhiguo Gong
(rfp0151) Quantum-enhanced Representation Learning and Matching Learning for Recommendation — Anchen Li and Elena Casiraghi
(rfp0208) SEAR: LLM-Powered Sequential Recommendation via Fusion of Collaborative, Semantic, and Rating Information — Wei Guan, Jian Cao, Qiqi Cai, Jianqi Gao, Jinyu Cai and See-Kiong Ng
(rfp0294) Guiding Generative Recommender Systems with Structured Human Priors via Multi-head Decoding — Yunkai Zhang, Qiang Zhang, Diji Yang, Ryan Lin, Ruizhong Qiu, Benyu Zhang, Hanchao Yu, Jason Liu, Yinglong Xia, Zhuokai Zhao, Lizhu Zhang, Xiangjun Fan, Zhuoran Yu, Abhishek Kumar and Zeyu Zheng
(rfp0450) Iterative Semantic Reasoning from Individual to Group Interests for Generative Recommendation with LLMs — Xiaofei Zhu, Jinfei Chen, Feiyang Yuan and Yang Zhou
(rfp0478) Generative Data Transformation: From Mixed to Unified Data — Jiaqing Zhang, Mingjia Yin, Hao Wang, Yuxin Tian, Yuyang Ye, Yawen Li, Wei Guo, Yong Liu and Enhong Chen
(rfp0505) From Entity Reliability to Clean Feedback: An Entity-Aware Denoising Framework Beyond Interaction-Level Signals — Ze Liu, Xianquan Wang, Shuochen Liu, Jie Ma, Huibo Xu, Yupeng Han, Kai Zhang and Jun Zhou
(rfp0512) Reinforcement Learning-Constrained Segmented User Modeling with Large Language Models for Recommendation — Yu Xia, Qing Tan, He Chen, Jingyu Chen and Qian Dong
(rfp0576) Thorki: Decoupling General and Personalized Knowledge with Collaborative Fusion for Personalized Federated Learning — Qiang He, Rui Chen, Yicheng Liu, Sheng Zhong, Haipeng Dai, Feifei Chen, Hai Jin and Yun Yang
(rfp0594) ES-MemEval: Benchmarking Conversational Agents on Personalized Long-Term Emotional Support — Tiantian Chen, Jiaqi Lu, Ying Shen and Lin Zhang
(rfp0606) Pathways of Thoughts: Multi-Directional Thinking for Long-form Personalized Question Answering — Alireza Salemi, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Zhuowan Li, Spurthi Amba Hombaiah, Weize Kong, Tao Chen, Hamed Zamani and Michael Bendersky
(rfp0619) Large Language Models-Enhanced Semantic Diffusion for User-Centric Recommendation — Xian Mo, Yijun Hu and Jun Pang
(rfp0637) Not All Information Brings Benefits: Personalization-Driven Agent Debate for Conversational Recommendation — Pengfei Zhang, Guojia An, Jin Huang, Yuhan Yang, Yang Yang and Jie Zou
(rfp0649) DiffGRM: Diffusion-based Generative Recommendation Model — Zhao Liu, Yichen Zhu, Yiqing Yang, Xiao Lv, Guoping Tang, Rui Huang, Qiang Luo, Ruiming Tang and Guorui Zhou
(rfp0679) IACLR: Intention Alignment via Contrastive Learning for Bipartite Graph Recommendation — Huiying Hu, Tuo Wang, Yixiao Zhou and Xiaoqing Lyu
(rfp0716) FairFS: Addressing Deep Feature Selection Biases for Recommender System — Xianquan Wang, Zhaocheng Du, Jieming Zhu, Qinglin Jia, Zhenhua Dong and Kai Zhang
(rfp0731) Tail-Aware Data Augmentation for Long-Tail Sequential Recommendation — Yizhou Dang, Zhifu Wei, Minhan Huang, Lianbo Ma, Jianzhe Zhao, Guibing Guo and Xingwei Wang
(rfp0757) Lifelong Sequential Recommendation with Adaptive Subsequence Compression and Contextual Fusion — Fei Li, Xiaoming Liu, Jiayi Luo, Guibing Guo, Jianzhe Zhao and Xingwei Wang
(rfp0804) Off-Policy Learning with Limited Supply — Koichi Tanaka, Ren Kishimoto, Bushun Kawagishi, Yusuke Narita, Yasuo Yamamoto, Nobuyuki Shimizu and Yuta Saito
(rfp0833) Multi-Task Multi-Behavior Sequential Recommendation — Weihao Du, Ziran Deng, Weike Pan and Zhong Ming
(rfp0850) S2CDR: Smoothing-Sharpening Process Model for Cross-Domain Recommendation — Xiaodong Li, Juwei Yue, Xinghua Zhang, Jiawei Sheng, Wenyuan Zhang, Taoyu Su, Zefeng Zhang and Tingwen Liu
(rfp0882) Multi-view Semantic Contrastive Alignment for Multimodal Recommendation — Jiuqiang Li and Hongjun Wang
(rfp0941) pFedDKS: Detached Knowledge Sharing for Personalized Federated Learning — Haozhao Wang, Wenchao Xu, Jingzhi Wang, Yunfeng Fan, Xiaoquan Yi and Rui Zhang
(rfp0957) Adaptive Contrastive Learning in Sequential Recommendation based on Perturbation and Restoration Networks — Yanbo Zhou, Bin Lü, Xu-Hua Yang, Xin-Li Xu and Boling Wang
(rfp0963) Optimizing Multi-Turn Interactive Recommendation Agents via Generative Intrinsic Motivation — Xueyang Feng, Jiakai Tang, Xu Chen, Quanyu Dai and Zhenhua Dong
(rfp1012) Unveiling and Simulating Short-Video Addiction Behaviors via Economic Addiction Theory — Chen Xu, Zhipeng Yi, Ruizi Wang, Wenjie Wang, Jun Xu and Maarten de Rijke
(rfp1018) HyMiRec: A Hybrid Multi-interest Learning Framework for LLM-based Sequential Recommendation — Jingyi Zhou, Cheng Chen, Kai Zuo, Manjie Xu, Zhendong Fu, Yibo Chen, Xu Tang and Yao Hu
(rfp1119) PULSE: Socially-Aware User Representation Modeling Toward Parameter-Efficient Graph Collaborative Filtering — Doyun Choi, Cheonwoo Lee, Biniyam Aschalew Tolera, Taewook Ham, Chanyoung Park and Jaemin Yoo
(rfp1121) PRISM: Personalized Recommendation via Information Synergy Module — Yutong Li, Xinyi Zhang, Peijie Sun, Letian Sha and Zhongxuan Han
(rfp1147) Learning on Adaptive Manifolds for Graph Collaborative Filtering — Guangzhi Qi, Guojun Liu and Qi Zhou
(rfp1150) Room Matters: Dynamic Room-level Collaboration Information Modeling for Live Streaming Recommendation — Ke Guo, Changle Qu, Xiao Zhang, Liqin Zhao, Shijun Wang, Yanan Niu and Jun Xu
(rfp1155) ONE-PASS: Single Forward Pass Decoding for Listwise Reranking — Yingpeng Du, Zhu Sun, Tianjun Wei and Jie Zhang
(rfp1160) Personalized Learning Path Planning through Goal-Driven Learner State Modeling — Joy Jia Yin Lim, Ye He, Jifan Yu, Xin Cong, Daniel Zhang-Li, Zhiyuan Liu, Huiqin Liu, Lei Hou, Juanzi Li and Bin Xu
(rfp1174) Personalized Parameter-Efficient Fine-Tuning of Foundation Models for Multimodal Recommendation — Sunwoo Kim, Hyunjin Hwang and Kijung Shin
(rfp1179) Bridging Time and Domains: A Time-aware Framework for Cross-Domain Sequential Recommendation — Zemu Liu, Zhida Qin, Pengzhan Zhou, Tianyu Huang and Gangyi Ding
(rfp1190) Bridging Explicit and Implicit Intent: Unified Interest Generative Method for Joint Search-Recommendation Modeling — Dongliang Liao, Chenxing Wang and Yawen Zeng
(rfp1228) CC-OR-Net: A Unified Framework for LTV Prediction through Structural Decoupling — Mingyu Zhao, Haoran Bai, Yu Tian, Bing Zhu and Hengliang Luo
(rfp1234) Dynamic Routing-Based Adaptive Multi-LLM Collaboration: A Unified Recommendation Framework with Decision Knowledge Complementation — Jiale Huang, Yingyuan Xiao, Likang Wu, Xu Cheng, Wengguang Zheng, Qingbo Hao, Ming He and Hongke Zhao
(rfp1262) KE-FedRS: Tackling Data Sparsity in Federated Recommendation via Knowledge Enhancement — Jiayu Bao, Hongjian Shi, Guanyu Zhang, Rui Zhou, Haozhao Wang and Yuan Liu
(rfp1317) Long Story Short: Auditing U.S. Political Polarization in Recommendations for Long- vs. Short-form Videos on YouTube — Shaokang Jiang, Arshia Arya, Seoyoung Kweon, Ivan Liang, Deepak Kumar and Kristen Vaccaro
(rfp1325) Gaussian Mixture Flow Matching with Domain Alignment for Multi-Domain Sequential Recommendation — Xiaoxin Ye, Chengkai Huang, Hongtao Huang and Lina Yao
(rfp1345) From Prediction to Understanding: Leveraging Reasoning in Large Language Model-based Recommendations — Zhi-Yuan Chen, Siyu Lu, Qiang Liu, Xingxing Wang and Yankai Lin
(rfp1394) Generative Regression Based Watch Time Prediction for Short-Video Recommendation — Hongxu Ma, Kai Tian, Tao Zhang, Xuefeng Zhang, Han Zhou, Chenghou Jin, Chunjie Chen, Han Li, Jihong Guan and Shuigeng Zhou
(rfp1401) Line Graphs Are Here! Unlock a Simple Solution for Data Sparsity and Class Imbalance in Recommender System — Junming Zhou, Hao Zhong, Shupeng Li, Zhengyang Wu, Yong Tang and Ronghua Lin
(rfp1404) FeDecider: An LLM-Based Framework for Federated Cross-Domain Recommendation — Xinrui He, Ting-Wei Li, Tianxin Wei, Xuying Ning, Xinyu He, Wenxuan Bao, Hanghang Tong and Jingrui He
(rfp1461) Joint Similar User Exploration and Informative Behavior Guidance for Multi-Modal New Item Recommendation — Jianye Xie, Lianyong Qi, Weiming Liu, Anqi Wang, Xiaolong Xu, Haolong Xiang, Xuyun Zhang, Wenwen Gong, Yang Zhang, Amin Beheshti and Wanchun Dou
(rfp1471) AgentDR: Dynamic Recommendation with Implicit Item-Item Relations via LLM-based Agents — Mingdai Yang, Nurendra Choudhary, Jiangshu Du, Edward W. Huang, Philip Yu, Karthik Subbian and Danai Koutra
(rfp1519) ScotRec: Social Chain-of-Thought LLM Reasoning for Recommendation — Kaibei Li, Jie Zou, Qika Lin, Weikang Guo, Qinyang He and Yang Yang
(rfp1586) Modeling Cascaded Delay Feedback for Online Net Conversion Rate Prediction: Benchmark, Insights and Solutions — Mingxuan Luo, Guipeng Xv, Sishuo Chen, Xinyu Li, Li Zhang, Zhangming Chan, Xiang-Rong Sheng, Han Zhu, Jian Xu, Bo Zheng and Chen Lin
(rfp1636) Temporal-Series-Aware Adaptive Positional Encoding for Transformer-based Sequential Recommendation — Rongbo Qi, Yaqi Zhang, Chunyao Song and Tingjian Ge
(rfp1647) MCRec: Few-Shot Multimodal Cover Recommendation via User Interest Profiles — Weixin Zheng, Chunyao Song and Tingjian Ge
(rfp1687) Diversity-Augmented Negative Sampling for Implicit Collaborative Filtering — Yueqing Xuan, Kacper Sokol, Mark Sanderson and Jeffrey Chan
(rfp1695) Delayed Feedback Modeling for Post-Click Gross Merchandise Volume Prediction: Benchmark, Insights and Approaches — Xinyu Li, Sishuo Chen, Guipeng Xv, Li Zhang, Mingxuan Luo, Zhangming Chan, Xiang-Rong Sheng, Han Zhu, Jian Xu and Chen Lin
(rfp1746) AlphaFree: Recommendation Free from Users, IDs, and GNNs — Minseo Jeon, Junwoo Jung, Daewon Gwak and Jinhong Jung
(rfp1748) Same Last-Item Confusion Unveiled: A Unified Mitigation Framework for Graph Learning in Session-Based Recommendation — Jinpeng Chen, Jianxiang He, Yuan Cao, Huan Li, Zhenye Yang, Kaimin Wei, Xiongnan Jin, Senzhang Wang and Weiping Tu
(rfp1782) R2NS: Recall and Re-ranking of Negative Samples for Sequential Recommendation — Yuanzi Li, Xuri Ge, Jingyu Zhao, Yidan Wang, Jiyuan Yang, Zhumin Chen, Zhaochun Ren and Xin Xin
(rfp1812) WeaveRec: An LLM-Based Cross-Domain Sequential Recommendation Framework with Model Merging — Min Hou, Xin Liu, Le Wu, Chenyi He, Hao Liu, Zhi Li, Xin Li and Si Wei
(rfp1853) Drifting with Intent: Generative Interest Trajectories for Multimodal Web Recommendation — Weilin Zhou, Hao Zhang and Guangxin Wu
(rfp1942) Field Matters: A Lightweight LLM-enhanced Method for CTR Prediction — Yu Cui, Feng Liu, Jiawei Chen, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Xiaohu Yang and Can Wang
(rfp2073) Retracing and Restoring: Chronological Context Preservation for Effective Dynamic Recommendation — Min-Jeong Kim, Jiwon Son, Yeon-Chang Lee and Sang-Wook Kim
(rfp2079) BlossomRec: Block-level Fused Sparse Attention Mechanism for Sequential Recommendations — Mengyang Ma, Xiaopeng Li, Wanyu Wang, Zhaocheng Du, Jingtong Gao, Pengyue Jia, Yuyang Ye, Yiqi Wang, Yunpeng Weng, Weihong Luo, Xiao Han and Xiangyu Zhao
(rfp2124) Modeling Endogenous Logic: Causal Neuro-Symbolic Reasoning Model for Explainable Multi-Behavior Recommendation — Yuzhe Chen, Jie Cao, Youquan Wang, Haicheng Tao, Darko Vuković and Jia Wu
(rfp2130) DynaMoLTV: A Cross-Game Dynamic Mixture Model with Weighted Sub-Distributions for Player Lifetime Value Prediction — Furen Xu, Jie Zhang, Kai Jiang, Chengxiang Zhuo and Zang Li
(rfp2148) From Criteria to Ranking: Targeting-Aware Tripartite Graph Learning for Multi-Criteria Recommendation — Zhenhua Meng and Fanshen Meng
(rfp2354) SAGE: Global Semantic Alignment with LLMs for Long-Tail Sequential Recommendation — Maolin Wang, Tongshu Bian, Ziyan Wang, Xiaotong Jiang, Binhao Wang, Derong Xu, Wanyu Wang, Ruocheng Guo and Xiangyu Zhao
(rfp2407) Relation-aware Diffusion-Asymmetric Graph Contrastive Learning for Recommendation — Yixuan Huang, Jiawei Chen, Shengfan Zhang and Zane Cao
(rfp2419) TargetMR: Learning Modality Target for Multimodal Recommendation — Gu Tang, Jinghe Wang, Jiang Bo, Ze Zhao, Jianping Zhou, Xiaoying Gan, Luoyi Fu, Xinbing Wang and Chenghu Zhou
(rfp2571) Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation — Xiao Lin, Zhicheng Tang, Weilin Cong, Mengyue Hang, Kai Wang, Yajuan Wang, Zhichen Zeng, Ting-Wei Li, Hyunsik Yoo, Zhining Liu, Xuying Ning, Ruizhong Qiu, Wen-Yen Chen, Shuo Chang, Rong Jin, Huayu Li and Hanghang Tong
(rfp2646) MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation — Ranxu Zhang, Junjie Meng, Ying Sun, Ziqi Xu, Bing Yin, Hao Li, Yanyong Zhang and Chao Wang
(rfp2791) Adaptive Location Hierarchy Learning for Long-Tailed Mobility Prediction — Yu Wang, Junshu Dai, Yuchen Ying, Hanyang Yuan, Zunlei Feng, Tongya Zheng and Mingli Song
(rfp2858) Scaling Collaborative Filtering with Multimodal Contrastive Fine-tuning — Liwei Jin, Dan Luo, Lixin Zou, Chenliang Li, Xiangyang Luo, Xixun Lin, Liming Dong and Yifan Zhang
(rfp2955) Embedding Enhancement via Fine-Tuned Language Models for Learner-Item Cognitive Modeling — Yuanhao Liu, Zihan Zhou, Kaiying Wu, Shuo Liu, Yiyang Huang, Jiajun Guo, Aimin Zhou and Hong Qian
(rfp3020) Spattack: Subgroup Poisoning Attacks on Federated Recommender Systems — Bo Yan, Yurong Hao, Dingqi Liu, Huabin Sun, Pengpeng Qiao, Wei Yang Bryan Lim, Yang Cao and Chuan Shi
(rfp3023) C-HyPOD: Causal Hyperbolic Learning with Prototype Orthogonal Disentanglement for Graph Out-of-Distribution Recommendation — Jiahao Liang, Yutian Xiao, Haoran Yang, Zhiwen Yu, Jia-Nan Liu and Kaixiang Yang
(rfp3074) Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce — Zhiding Liu, Ben Chen, Mingyue Cheng, Enhong Chen, Li Li, Chenyi Lei, Wenwu Ou, Han Li and Kun Gai
(rfp3075) Quantifying User Coherence: A Unified Framework for Analyzing Recommender Systems Across Domains — Michael Soumm, Alexandre Fournier-Montgieux, Adrian Popescu and Bertrand Delezoide
(rfp3118) FCRLLM: Aligning LLM with Collaborative Filtering for Long-tailed Sequential Recommendation — Byungmoon Heo, Namjun Lee, Seonah Kim and Jaekwang Kim
(rfp3149) ONeRec: Towards Openness-Aware and Adaptive Proactive News Recommendation — Jie Li, Zhen Cui and Linmei Hu
(rfp3157) Multimodal-enhanced Federated Recommendation: A Group-wise Fusion Approach — Chunxu Zhang, Weipeng Zhang, Guodong Long, Zhiheng Xue, Riting Xia and Bo Yang
(rfp3166) Learning Evolving Preferences: A Federated Continual Framework for User-Centric Recommendation — Chunxu Zhang, Zhiheng Xue, Guodong Long, Weipeng Zhang and Bo Yang
(rfp3170) Sharpness-Consistent Cross-Domain Recommendation for Cold-Start Items — Ke Fei, Jingjing Li, Zhekai Du and Hongbo Chen
(rfp3189) Sharpness-Aware Minimization for Generalized Embedding Learning in Federated Recommendation — Fengyuan Yu, Xiaohua Feng, Yuyuan Li, Changwang Zhang, Jun Wang and Chaochao Chen
(rfp3235) Generative Archetype-Grounded Item Representations for Sequential Recommendation — Yifan Li, Jiahong Liu, Xinni Zhang, Hao Chen, Yankai Chen, Wenhao Yu, Jianting Chen and Irwin King
(rfp3258) Dynamic Experts Synergy for Multi-Task Recommendation — Haotian Wu, Yingpeng Du, Zhu Sun, Jie Zhang and Puay Siew Tan
(rfp3321) Talos: Optimizing Top-K Accuracy in Recommender Systems — Shengjia Zhang, Weiqin Yang, Jiawei Chen, Peng Wu, Yuegang Sun, Gang Wang, Qihao Shi and Can Wang
(rfp3326) Causality Enhancement for Cross-Domain Recommendation — Zhibo Wu, Yunfan Wu, Yang Chang, Ping Yang and Yao Hu
(rfp3346) Does LLM Focus on the Right Words? Mitigating Context Bias in LLM-based Recommenders — Bohao Wang, Jiawei Chen, Feng Liu, Changwang Zhang, Jun Wang, Canghong Jin, Chun Chen and Can Wang
(rfp3365) From Token to Item: Enhancing Large Language Models for Recommendation via Item-aware Attention Mechanism — Xiaokun Zhang, Bowei He, Jiamin Chen, Ziqiang Cui and Chen Ma
(rfp3372) GenCI: Generative Modeling of User Interest Shift via Cohort-based Intent Learning for CTR Prediction — Kesha Ou, Zhen Tian, Wayne Xin Zhao, Hongyu Lu and Ji-Rong Wen
(rfp3396) Following the TRAIL: Predicting and Explaining Tomorrow’s Hits with a Fine-Tuned LLM — Yinan Zhang, Zhixi Chen, Jiazheng Jing and Zhiqi Shen
(rfp3398) RMBRec: Robust Multi-Behavior Recommendation towards Target Behaviors — Miaomiao Cai, Zhijie Zhang, Junfeng Fang, Zhiyong Cheng, Xiang Wang and Meng Wang
(rfp3456) Prototype-Aligned Federated Soft-Prompts for Continual Web Personalization — Canran Xiao and Liwei Hou
(rfp3458) Modeling Stage-wise Evolution of User Interests for News Recommendation — Zhiyong Cheng, Yike Jin, Zhijie Zhang, Huilin Chen, Zhangling Duan and Meng Wang
(rfp3533) QDDR: Quality-Driven Intent Disentanglement with Dual-Path Modeling for Recommendation — Nengjun Zhu, Yixun Lu and Qi Zhang
(rfp3549) IMPerSumm: Information-Modulated User Preference Modeling for Personalized Text Summarization — Parthiv Chatterjee, Dhara Jhaveri, Sourish Dasgupta and Tanmoy Chakraborty
(rfp3583) CCL-Diff: Representation-Consistent Diffusion with Intrinsic Contrastive Learning for Recommender Systems — Lingyan Zhang, Wanyu Ling, Shuwen Daizhou, Li Kuang and Kehua Guo
(rfp3616) SemaCDR: LLM-Powered Transferable Semantics for Cross-Domain Sequential Recommendation — Chunxu Zhang, Shanqiang Huang, Zijian Zhang, Jiahong Liu, Linsong Yu, Ruiqi Wan, Bo Yang and Irwin King
(rfp3723) Exploration Sizing via Model-Predictive Control — Ethan Che, Hakan Ceylan, James McInerney and Nathan Kallus
(rfp3771) Post-hoc Popularity Bias Correction in GNN-based Collaborative Filtering — Md Aminul Islam, Elena Zheleva and Ren Wang
(rfp3846) Identifying and Upweighting Power-Niche Users to Mitigate Popularity Bias in Recommendations — David Liu, Erik Weis, Moritz Laber, Tina Eliassi-Rad and Brennan Klein
(rfp3909) Efficient Content-based Recommendation Model Training via Noise-aware Coreset Selection — Hung V. Tran, Tong Chen, Hechuan Wen, Quoc Viet Hung Nguyen, Bin Cui and Hongzhi Yin
(rfp3926) DrunkAgent: Stealthy Memory Corruption in LLM-Powered Recommender Agents — Shiyi Yang, Zhibo Hu, Xinshu Li, Chen Wang, Tong Yu, Xiwei Xu, Liming Zhu and Lina Yao
(rfp4124) The Double-Edged Sword of Knowledge Transfer: Diagnosing and Curing Fairness Pathologies in Cross-Domain Recommendation — Yuhan Zhao, Weixin Chen, Li Chen and Weike Pan
(rfp4139) Multi-modal Bipartite Graph Structure Learning with Information Bottleneck for Micro-video Recommendation — Ying He, Desheng Cai, Shengsheng Qian, Quan Fang, Yinwei Wei and Changsheng Xu
(rfp4239) Hyena Operator for Fast Sequential Recommendation — Jiahao Liu, Lin Li, Zhiyuan Li, Kaixi Hu, Kaize Shi and Jingling Yuan
(rfp4245) TopKGAT: A Top-K Objective-Driven Architecture for Recommendation — Sirui Chen, Jiawei Chen, Canghong Jin, Sheng Zhou, Jingbang Chen, Wujie Sun and Can Wang
(rfp4340) Token-level Collaborative Alignment for LLM-based Generative Recommendation — Fake Lin, Binbin Hu, Zhi Zheng, Xi Zhu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou and Tong Xu
(rfp4414) MemWeaver: A Hierarchical Memory from Textual Interactive Behaviors for Personalized Generation — Shuo Yu, Mingyue Cheng, Daoyu Wang, Qi Liu, Zirui Liu, Ze Guo and Xiaoyu Tao
(rfp4450) Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems — Jiaming Zhang, Yuyuan Li, Xiaohua Feng, Li Zhang, Longfei Li, Jun Zhou and Chaochao Chen

Web Mining and Content Analysis

(rfp0017) Cardinality is Not Enough: Super Host Detection via Segmented Cardinality Estimation — Yilin Zhao, Jiawei Huang, Xianshi Su, Weihe Li, Xin Li, Yan Liu, Jiacheng Xie, Qichen Su, Jin Ye, Wanchun Jiang and Jianxin Wang
(rfp0241) Beyond Patches: Superpixel Token-based Transformers for Attribute-Specific Fashion Retrieval — Shuili Zhang, Hongzhang Mu, Wenyuan Zhang, Duohe Ma and Tingwen Liu
(rfp0255) VarParser: Unleashing the Neglected Power of Variables for LLM-based Log Parsing — Jinrui Sun, Tong Jia, Minghua He and Ying Li
(rfp0713) PAMAS: Self-Adaptive Multi-Agent System with Perspective Aggregation for Misinformation Detection — Zongwei Wang, Min Gao, Junliang Yu, Tong Chen and Chenghua Lin
(rfp0751) Multi-Aspect Mining and Anomaly Detection for Heterogeneous Tensor Streams — Soshi Kakio, Yasuko Matsubara, Ren Fujiwara and Yasushi Sakurai
(rfp0901) EIAN: Explicit Interaction-aware Attention Network for Interpretable Event Modeling — Jiping Zhang, Hua Zhu, Hong Huang, Yongkang Zhou, Kehan Yin and Bang Liu
(rfp0915) Byte-token Enhanced Language Models for Temporal Point Processes Analysis — Quyu Kong, Yixuan Zhang, Yang Liu, Panrong Tong, Enqi Liu and Feng Zhou
(rfp1009) ColorBench: Benchmarking Mobile Agents with Graph-Structured Framework for Complex Long-Horizon Tasks — Yuanyi Song, Heyuan Huang, Qiqiang Lin, Yin Zhao, Xiangmou Qu, Jun Wang, Xingyu Lou, Weiwen Liu, Zhuosheng Zhang, Jun Wang, Zhaoxiang Wang, Yong Yu and Weinan Zhang
(rfp1074) Dynamic Prototype-Augmented Stance Detection: Learning from the Seen to Reason about the Unseen — Zhaodan Zhang, Jin Zhang and Jiafeng Guo
(rfp1166) Triple-R: Iterative Query Rewriting and Refinement for Retrieval-Augmented Fake News Detection — Jie Li, Jinrui Wang, Linmei Hu and Yuqiu Deng
(rfp1204) Expectation-Maximization Driven Contrastive Disentanglement for Generalized Category Discovery — Weiyi Yang, Richong Zhang, Junfan Chen, Jiawei Sheng and Lihong Wang
(rfp1237) Hermes the Polyglot: A Unified Framework to Enhance Expressiveness for Multimodal Interlingual Subtitling — Chaoqun Cui, Shijing Wang, Liangbin Huang, Qingqing Gu, Zhaolong Huang, Xiao Zeng and Wenji Mao
(rfp1290) A Frequency-Aware Mixture of Heterogeneous Experts Framework for Knowledge Tracing — Youheng Bai, Mingliang Hou, Teng Guo, Zitao Liu and Weiqi Luo
(rfp1432) KMLP: A Scalable Hybrid Architecture for Web-Scale Tabular Data Modeling — Mingming Zhang, Pengfei Shi, Junbo Zhao, Ningtao Wang, Feng Zhao, Guandong Sun, Yulin Kang, Xing Fu, Zhiqing Xiao, Weiqiang Wang and Ruizhe Gao
(rfp1447) Measuring and Enhancing Human Value Alignment in Zero-Shot Document-Level Claim Extraction — Yuanzhen Hao and Desheng Wu
(rfp1481) Thinking Bidirectionally: A Reasoning and Self-Correction Approach for Text-Based Event Prediction with Large Language Models — Liwei Qian, Hang Zhang, Yiheng Wu, Yanmin Li, Mengna Zhu, Lihua Liu and Jibing Wu
(rfp1512) Hyperbolic Multimodal Generative Representation Learning for Generalized Zero-Shot Multimodal Information Extraction — Baohang Zhou, Kehui Song, Rize Jin, Yu Zhao, Xuhui Sui, Xinying Qian, Xingyue Guo and Ying Zhang
(rfp1553) MIDE: Multimodal Dialogue Emotion Recognition via Mutual Information Enhancement and Dynamic Modality Selection — Zhibo Zhang, Jianjun Li and Zhiyuan Ma
(rfp1588) JitterSketch: Finding Jittery Flows in Network Streams — Zhongxian Liang, Qilong Shi, Xiyan Liang, Zihan Li, Wenjun Li, Tong Yang, Yangyang Wang, Mingwei Xu and Weizhe Zhang
(rfp1686) GFMixer: Decoupled Temporal Gradient and Fourier-Aware Attention for Time Series Forecasting — Lin Zhang, Qing Li and Jingmei Zhao
(rfp1781) MIGC-CMamba: Cross-Domain Mamba with Multi-Scale Imaging and Granular-Ball Computing for Traffic Flow Prediction — Wenxia Chang, Chao Zhang, Wentao Li and Deyu Li
(rfp1800) TrueLens: Video Fake News Detection with Dual Level Evidence Gathering and Consolidation — Junyi Chen, Qian Liu, Jing Sun and Yi Zhang
(rfp1845) STaR: Towards Effective and Stable Table Reasoning via Slow-Thinking Large Language Models — Huajian Zhang, Mingyue Cheng, Yucong Luo and Xiaoyu Tao
(rfp1846) We Need a More Robust Classifier: Dual Causal Learning Empowers Domain-Incremental Time Series Classification — Zhipeng Liu, Peibo Duan, Xuan Tang, Haodong Jing, Mingyang Geng, Yongsheng Huang, Jialu Xu, Bin Zhang and Binwu Wang
(rfp1849) Enhancing Large Language Models for Time-Series Forecasting via Vector-Injected In-Context Learning — Jianqi Zhang, Jingyao Wang, Wenwen Qiang, Fanjiang Xu and Changwen Zheng
(rfp1980) Efficient High-Dimensional Time Series Forecasting with Transformers: A Channel Reordering Perspective — Yuchen Fang, Shiyu Wang, Yuxuan Liang, Zhou Ye, Yang Xiang, Yan Zhao and Kai Zheng
(rfp2019) Fusion Is Not A Simple Ensemble! Towards The Evolving Views in Insider Threat Detection — Chengyu Song, Lin Yang, Jianming Zheng, Jingjing Zhang, Hongyu Kuang, Jinzhi Liao and Mengchun Zhao
(rfp2115) BHGap: A Deep Iterative Prompting and Multi-stage Alignment Framework for Dynamic Facial Expression Recognition — Yichi Zhang, Yunqi Han, Jiayue Ding and Liangyu Chen
(rfp2163) Diffusion Generative Recommendation with Continuous Tokens — Haohao Qu, Shanru Lin, Yujuan Ding, Yiqi Wang and Wenqi Fan
(rfp2218) EEO-TFV: Escape-Explore Optimizer for Web-Scale Time-Series Forecasting and Vision Analysis — Hua Wang, Jinghao Lu and Fan Zhang
(rfp2245) Towards Multi-Label Text Interpretation with Chain-of-Thought Prompting and Contextualized Knowledge — Rui Wang, Ziang Li, Haiping Huang, Jialin Yu, Yuxiang Zhou and Guozi Sun
(rfp2263) Evolving Proxy Kills Drift: Data-Efficient Streaming Time Series Anomaly Detection — Qing Wei, Hao Miao, Yan Zhao, Kai Zheng, Bin Yang, Volker Markl and Christian S. Jensen
(rfp2303) VisionST: Coordinating Cross-modal Traffic Prediction with Interactive Geo-image Encoding — Jinwen Chen, Hao Miao, Chenxi Liu, Yan Zhao and Kai Zheng
(rfp2630) MuVaC: A Variational Causal Framework for Multimodal Sarcasm Understanding in Dialogues — Diandian Guo, Fangfang Yuan, Cong Cao, Xixun Lin, Chuan Zhou, Hao Peng, Yanan Cao and Yanbing Liu
(rfp2679) Anchor Drift No More: Hierarchical Consistency-Guided Prompt Distillation for Incomplete Multimodal Learning — Ruiting Dai, Zesen Cai, Lisi Mo, Guiduo Duan, Keren Shi and Tao He
(rfp2700) LoRA-E^2: Effective and Efficient Low-rank Adaptation — Shengkun Zhu, Jinshan Zeng, Yiming Wang, Sheng Wang, Yuan Sun, Shangfeng Chen, Yuan Yao and Qiang Yang
(rfp2712) Modeling Point-to-Point Dependency for High-Dimensional Long-Term Series Forecasting — Xinyu Li, Kexi Chen, Ying Zheng, Zhiyi Yao, Yi Xie, Jihan Dai, Lei Bai, Jin Zhao, Jiajie Shen, Yunqi Cai, Hong Lu and Xin Wang
(rfp2763) Shift-Resilient Diffusive Imputation for Variable Subset Forecasting — Haihua Xu, Qi Hao, He Zhang, Jianpeng Zhao, Ziyue Qiao, Lu Jiang, Pengfei Wang, Yingjie Zhou and Pengyang Wang
(rfp2864) Leveraging LLM and Multiscale Knowledge States to Improve Knowledge Tracing in Programming Tasks — Mingxing Shao, Tiancheng Zhang, Yifang Yin, Wenhui Wu, Zikai Li, Minghe Yu, Fangling Leng and Ge Yu
(rfp2946) Re-Diffusion: Modeling Latent Residuals with Diffusion for Time-Series Forecasting — Boning Zhang, Haishuai Wang, Zehong Hu, Jiajun Wang, Hongyi Zhang and Jia Jia
(rfp2947) Reinforcement Learning with Verbalized Probabilities for LLM Classification — Liyao Li, Hao Chen, Jiaming Tian, Wentao Ye, Lirong Gao, Chao Ye, Ningtao Wang, Xing Fu, Yu Cheng, Haobo Wang, Gang Chen and Junbo Zhao
(rfp3040) Mitigating Cognitive Vulnerabilities in Code Generation via Multi-Agent Adversarial Debate — Shuofu Liu, Quanjiang Guo, Xiao Liu and Ying Liu
(rfp3143) CCAF: Coarse-to-fine Cross-Modal Alignment and Fusion for Multimodal Sentiment Analysis — Xianbing Zhao, Shengzun Yang and Buzhou Tang
(rfp3152) E2PL: Effective and Efficient Prompt Learning for Incomplete Multi-view Multi-Label Class Incremental Learning — Jiajun Chen, Yue Wu, Kai Huang, Wenxi Zhao, Wu Yangyang, Xiaoye Miao, Mengying Zhu, Meng Xi and Guanjie Cheng
(rfp3179) ATGFB-MFF: Adaptive Text-Guided Fiber Bundle Feature Fusion with LLMs for Multimodal Sentiment Analysis and Emotion Recognition in Conversations — Zhaowei Liu, Sheng Liu, Weiqing Yan, Peng Song, Yongchao Song and Rufei Gao
(rfp3186) CIDC: Cluster Identification-Guided Dual Correction for Robust Short Text Clustering — Yuhua Zhao, Zhixin Han, Xuan Li, Peiyu Xu, Hang Gao, Mengting Hu and Tiegang Gao
(rfp3214) Mamba Hawkes Process for Event Sequence Modeling — Shan Dai, Yuyang Shen, Yuyang Liang, Chenhao Ma and Anningzhe Gao
(rfp3215) StreamFP: Fingerprint-guided Data Selection for Efficient Stream Learning — Changwu Li, Tongjun Shi, Shuhao Zhang, Binbin Chen, Bingsheng He, Xiaofei Liao and Hai Jin
(rfp3358) Interpretable Dynamic Network Modeling of Tensor Time Series via Kronecker Time-Varying Graphical Lasso — Shingo Higashiguchi, Koki Kawabata, Yasuko Matsubara and Yasushi Sakurai
(rfp3401) Time-TK: A Multi-Offset Temporal Interaction Framework Combining Transformer and Kolmogorov-Arnold Networks for Time Series Forecasting — Fan Zhang, Shiming Fan and Hua Wang
(rfp3450) Is Misinformation More Open? A Study of robots.txt Gatekeeping on the Web — Nicolas Steinacker-Olsztyn, Devashish Gosain and Ha Dao
(rfp3457) Bias Mitigation for Harmful Meme Detection using Front-door Adjustment — Jiangfeng Zeng, Cheng Xiong, Xiao Ma and Jialin Qin
(rfp3488) Multistage Feedback-Driven Causal Discovery from Textual Data with Large Language Models — Juntao Yang, Dayuan Cao, Kui Yu, Xiang Wang, Jing Yang, Lin Liu and Jiuyong Li
(rfp3729) FedDis: A Causal Disentanglement Framework for Federated Traffic Prediction — Chengyang Zhou, Zijian Zhang, Chunxu Zhang, Hao Miao, Yulin Zhang, Kedi Lyu and Juncheng Hu
(rfp3841) VL-KGE: Vision–Language Models Meet Knowledge Graph Embeddings — Athanasios Efthymiou, Stevan Rudinac, Monika Kackovic, Nachoem Wijnberg and Marcel Worring
(rfp3893) Inference Cost Attacks for Retrieval-Augmented Large Language Models — Chengliang Liu, Liangbo Ning, Yujuan Ding and Wenqi Fan
(rfp4073) GlassMiner: Mining Looking Glass Services via Structure-Semantics Fusion for Web Observability — Yunze Wei, Xingang Shi, Han Zhang, Tianyu Zhang, Yahui Li and Xia Yin
(rfp4097) UrbanMoE: A Sparse Multi-Modal Mixture-of-Experts Framework for Multi-Task Urban Region Profiling — Pingping Liu, Jiamiao Liu, Zijian Zhang, Hao Miao, Qi Jiang, Qingliang Li, Qiuzhan Zhou and Irwin King
(rfp4098) From Newborn to Impact: Bias-Aware Citation Prediction — Mingfei Lu, Mengjia Wu, Jiawei Xu, Weikai Li, Feng Liu, Ying Ding, Yizhou Sun, Jie Lu and Yi Zhang
(rfp4172) FedRMamba: Federated Residual Mamba for Multivariate Time-Series Forecasting — Zhiwei Hu, Liang Zhang and Guangxu Zhu
(rfp4295) From Manipulation to Mistrust: Explaining Diverse Micro-Video Misinformation for Robust Debunking in the Wild — Zhi Zeng, Yifei Yang, Jiaying Wu, Xulang Zhang, Xiangzheng Kong, Herun Wan, Zihan Ma and Minnan Luo
(rfp4319) Prompt-Induced Linguistic Fingerprints for LLM-Generated Fake News Detection — Chi Wang, Min Gao, Zongwei Wang, Junwei Yin, Kai Shu and Chenghua Lin
(rfp4332) BARouter: A Budget-adaptive Online Large Language Model Router Framework — Lingkai Zu, Xiyue Peng and Xin Liu
(rfp4367) Moral Outrage Shapes Commitments Beyond Attention: Multimodal Moral Emotions on YouTube in Korea and the US — Seongchan Park, Jaehong Kim, Hyeonseung Kim, Heejin Bin, Sue Moon and Wonjae Lee
(rfp4373) Dynamic Multi-period Experts for Online Time Series Forecasting — Seungha Hong, Sukang Chae, Suyeon Kim, Sanghwan Jang and Hwanjo Yu
(rfp4424) Unlocking the Multilingual Long-Tail Web: A Fused Macro-Micro Framework for Scalable Content Analysis — Jiarui Zhang, Yifan Deng and Qihao Wang