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ORCID34th WWW 2025: Sydney, NSW, Australia
- Guodong Long, Michale Blumestein, Yi Chang, Liane Lewin-Eytan, Zi Helen Huang, Elad Yom-Tov:
Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025. ACM 2025, ISBN 979-8-4007-1274-6
Keynote Talks
- Jürgen Schmidhuber:
Falling Walls, WWW, Modern AI, and the Future of the Universe. 1 - Jure Leskovec:
From Retrieval to Reasoning: Advancing AI Agents for Knowledge Discovery and Collaboration. 2 - Wen Gao:
Peng Cheng Cloud Brain and Mind Series of Large Model. 3 - Yan Liu:
The AI Revolution in Time Series: Challenges and Opportunites. 4 - Jon Whittle:
AI for Science: The Next Big Opportunity. 5
Session 1: Knowledge Representation and Query
- Shqiponja Ahmetaj, Iovka Boneva, Jan Hidders, Katja Hose, Maxime Jakubowski, José Emilio Labra Gayo, Wim Martens, Fabio Mogavero, Filip Murlak, Cem Okulmus, Axel Polleres, Ognjen Savkovic, Mantas Simkus, Dominik Tomaszuk:
Common Foundations for SHACL, ShEx, and PG-Schema. 8-21 - Hui Yang, Jiaoyan Chen, Uli Sattler:
TransBox: EL++-closed Ontology Embedding. 22-34 - Chau D. M. Nguyen, Tim French, Michael Stewart, Melinda Hodkiewicz, Wei Liu:
Spherical Embeddings for Atomic Relation Projection Reaching Complex Logical Query Answering. 35-46 - Thi Hoang Thi Pham, Gabriela Montoya, Brice Nédelec, Hala Skaf-Molli, Pascal Molli:
Passage: Ensuring Completeness and Responsiveness of Public SPARQL Endpoints with SPARQL Continuation Queries. 47-58 - José Fuentes-Sepúlveda, Adrián Gómez-Brandón, Aidan Hogan, Ayleen Irribarra-Cortés, Gonzalo Navarro, Juan L. Reutter:
Worst-Case-Optimal Joins on Graphs with Topological Relations. 59-71
Session 2: Knowledge and Learning
- Youmin Ko, Hyemin Yang, Taeuk Kim, Hyunjoon Kim:
Subgraph-Aware Training of Language Models for Knowledge Graph Completion Using Structure-Aware Contrastive Learning. 72-85 - Zhao Li, Xin Wang, Jun Zhao, Feng Feng, Zirui Chen, Jianxin Li:
HySAE: An Efficient Semantic-Enhanced Representation Learning Model for Knowledge Hypergraph Link Prediction. 86-97 - Ben Liu, Jihai Zhang, Fangquan Lin, Cheng Yang, Min Peng, Wotao Yin:
SymAgent: A Neural-Symbolic Self-Learning Agent Framework for Complex Reasoning over Knowledge Graphs. 98-108 - Shundong Yang, Jing Yang, Xiaowen Jiang, Yuan Gao, Laurence T. Yang, Ruikun Luo, Jieming Yang:
Towards Multimodal Inductive Learning: Adaptively Embedding MMKG via Prototypes. 109-118 - Zhiqiang Liu, Chengtao Gan, Junjie Wang, Yichi Zhang, Zhongpu Bo, Mengshu Sun, Huajun Chen, Wen Zhang:
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models. 119-133
Session 3: Data and Semantics
- Yu Feng, Yangli-ao Geng, Yifan Zhu, Zongfu Han, Xie Yu, Kaiwen Xue, Haoran Luo, Mengyang Sun, Guangwei Zhang, Meina Song:
PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning. 134-146 - Jiale Zhang, Haoxuan Li, Di Wu, Xiaobing Sun, Qinghua Lu, Guodong Long:
Beyond Dataset Watermarking: Model-Level Copyright Protection for Code Summarization Models. 147-157 - Yibin Chen, Yifu Yuan, Zeyu Zhang, Yan Zheng, Jinyi Liu, Fei Ni, Jianye Hao, Hangyu Mao, Fuzheng Zhang:
SheetAgent: Towards a Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models. 158-177 - Amir Behrad Khorram Nazari, Davood Rafiei, Mario A. Nascimento:
MixedSAND: Semantic Annotation of Mixed-unit Numeric Data. 178-187 - Jiamin Luo, Jingjing Wang, Junxiao Ma, Yujie Jin, Shoushan Li, Guodong Zhou:
Omni-SILA: Towards Omni-scene Driven Visual Sentiment Identifying, Locating and Attributing in Videos. 188-197
Session 4: Large Language Models in Recommendation
- Hongru Cai, Yongqi Li, Wenjie Wang, Fengbin Zhu, Xiaoyu Shen, Wenjie Li, Tat-Seng Chua:
Large Language Models Empowered Personalized Web Agents. 198-215 - Jun Yin, Zhengxin Zeng, Mingzheng Li, Hao Yan, Chaozhuo Li, Weihao Han, Jianjin Zhang, Ruochen Liu, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Shirui Pan, Senzhang Wang:
Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism. 216-227 - Jingtong Gao, Bo Chen, Xiangyu Zhao, Weiwen Liu, Xiangyang Li, Yichao Wang, Wanyu Wang, Huifeng Guo, Ruiming Tang:
LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations. 228-239 - Yuhan Li, Xinni Zhang, Linhao Luo, Heng Chang, Yuxiang Ren, Irwin King, Jia Li:
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation. 240-251 - Shuyao Wang, Zhi Zheng, Yongduo Sui, Hui Xiong:
Unleashing the Power of Large Language Model for Denoising Recommendation. 252-263
Session 5: Visual and Multimodal Systems
- Yiyan Xu, Wenjie Wang, Yang Zhang, Biao Tang, Peng Yan, Fuli Feng, Xiangnan He:
Personalized Image Generation with Large Multimodal Models. 264-274 - Peilin Zhou, Chao Liu, Jing Ren, Xinfeng Zhou, Yueqi Xie, Meng Cao, Zhongtao Rao, You-Liang Huang, Dading Chong, Junling Liu, Jae Boum Kim, Shoujin Wang, Raymond Chi-Wing Wong, Sunghun Kim:
When Large Vision Language Models Meet Multimodal Sequential Recommendation: An Empirical Study. 275-292 - Heng Er Metilda Chee, Jiayin Wang, Zhiqiang Guo, Weizhi Ma, Min Zhang:
PerSRV: Personalized Sticker Retrieval with Vision-Language Model. 293-303 - Yihan Wang, Fei Xiong, Zhexin Han, Qi Song, Kaiqiao Zhan, Ben Wang:
Unleashing the Potential of Two-Tower Models: Diffusion-Based Cross-Interaction for Large-Scale Matching. 304-312 - Songwen Hu, Ryan A. Rossi, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Shuai Li:
Interactive Visualization Recommendation with Hier-SUCB. 313-321
Session 6: Graph and Social Network Based Approaches
- Huanyu Zhang, Xiaoxuan Shen, Baolin Yi, Jianfang Liu, Yinao Xie:
A Plug-in Critiquing Approach for Knowledge Graph Recommendation Systems via Representative Sampling. 322-333 - Chu Zhao, Enneng Yang, Yuliang Liang, Pengxiang Lan, Yuting Liu, Jianzhe Zhao, Guibing Guo, Xingwei Wang:
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation. 334-346 - Anchen Li, Bo Yang:
Dual Graph Denoising Model for Social Recommendation. 347-356 - Xinyi Wu, Donald Loveland, Runjin Chen, Yozen Liu, Xin Chen, Leonardo Neves, Ali Jadbabaie, Mingxuan Ju, Neil Shah, Tong Zhao:
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems. 357-369 - Youchen Sun, Zhu Sun, Yingpeng Du, Jie Zhang, Yew Soon Ong:
Model-Agnostic Social Network Refinement with Diffusion Models for Robust Social Recommendation. 370-378
Session 7: Reinforcement Learning and Sequential Methods
- Xiaobei Wang, Shuchang Liu, Qingpeng Cai, Xiang Li, Lantao Hu, Han Li, Guangming Xie:
Value Function Decomposition in Markov Recommendation Process. 379-390 - Zhenghai Xue, Qingpeng Cai, Bin Yang, Lantao Hu, Peng Jiang, Kun Gai, Bo An:
AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems. 391-401 - Siyu Wang, Xiaocong Chen, Lina Yao:
Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation. 402-412 - Haolin Wang, Lin Liu, Jiuyong Li, Ziqi Xu, Jixue Liu, Zehong Cao, Debo Cheng:
Off-policy Evaluation for Multiple Actions in the Presence of Unobserved Confounders. 413-424 - Wenyu Mao, Shuchang Liu, Haoyang Liu, Haozhe Liu, Xiang Li, Lantao Hu:
Distinguished Quantized Guidance for Diffusion-based Sequence Recommendation. 425-435
Session 8: Optimization and Learning Methods
- Donald Loveland, Xinyi Wu, Tong Zhao, Danai Koutra, Neil Shah, Mingxuan Ju:
Understanding and Scaling Collaborative Filtering Optimization from the Perspective of Matrix Rank. 436-449 - Cheng Wang, Wenchao Xu, Haozhao Wang, Wei Liu, Ruixuan Li:
Privacy-Friendly Cross-Domain Recommendation via Distilling User-irrelevant Information. 450-461 - Haibo Xing, Kanefumi Matsuyama, Hao Deng, Jinxin Hu, Yu Zhang, Xiaoyi Zeng:
ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems. 462-471 - Jiarui Qin, Weiwen Liu, Weinan Zhang, Yong Yu:
D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems. 472-482 - Junjie Huang, Jiarui Qin, Jianghao Lin, Ziming Feng, Weinan Zhang, Yong Yu:
Unleashing the Potential of Multi-Channel Fusion in Retrieval for Personalized Recommendations. 483-494
Session 9: Graph-Based Social Network Analysis & Community Detection
- Niloy Talukder, Croix Gyurek, Mohammad Al Hasan:
Node2binary: Compact Graph Node Embeddings using Binary Vectors. 495-505 - Christos Gkartzios, Evaggelia Pitoura, Panayiotis Tsaparas:
Fair Network Communities through Group Modularity. 506-517 - Yunming Hui, Inez Maria Zwetsloot, Simon Trimborn, Stevan Rudinac:
Domain-Informed Negative Sampling Strategies for Dynamic Graph Embedding in Meme Stock-Related Social Networks. 518-529 - Hao Li, Hao Jiang, Yuke Zheng, Hao Sun, Wenying Gong:
UniGO: A Unified Graph Neural Network for Modeling Opinion Dynamics on Graphs. 530-540 - Federico Cinus, Marco Minici, Luca Luceri, Emilio Ferrara:
Exposing Cross-Platform Coordinated Inauthentic Activity in the Run-Up to the 2024 U.S. Election. 541-559
Session 10: Online Behavior, Sentiment, and Influence
- Buddhika Nettasinghe, Ashwin Rao, Bohan Jiang, Allon G. Percus, Kristina Lerman:
In-Group Love, Out-Group Hate: A Framework to Measure Affective Polarization via Contentious Online Discussions. 560-575 - Lanqin Yuan, Philipp J. Schneider, Marian-Andrei Rizoiu:
Behavioral Homophily in Social Media via Inverse Reinforcement Learning: A Reddit Case Study. 576-589 - Jacopo Lenti, Luca Maria Aiello, Corrado Monti, Gianmarco De Francisci Morales:
Causal Modeling of Climate Activism on Reddit. 590-600 - Rachel M. Kim, Ashton Anderson:
The Agenda-Setting Function of Social Media. 601-613
Session 11: Multimodal and Thematic Content Analysis
- Fengmao Lv, Mengting Xiong, Junlin Fang, Lingli Zhang, Tianze Luo, Weichao Liang, Tianrui Li:
MSTI-Plus: Introducing Non-Sarcasm Reference Materials to Enhance Multimodal Sarcasm Target Identification. 614-624 - Tao Liang, Siying Wu, Junfeng Fang, Guowu Yang, Wenya Wang, Fengmao Lv:
Damage Analysis via Bidirectional Multi-Task Cascaded Multimodal Fusion. 625-636 - Abdullah Mazhar, Zuhair Hasan Shaik, Aseem Srivastava, Polly Ruhnke, Lavanya Vaddavalli, Sri Keshav Katragadda, Shweta Yadav, Md. Shad Akhtar:
Figurative-cum-Commonsense Knowledge Infusion for Multimodal Mental Health Meme Classification. 637-648 - Tingrui Qiao, Caroline Walker, Chris Cunningham, Yun Sing Koh:
Thematic-LM: A LLM-based Multi-agent System for Large-scale Thematic Analysis. 649-658 - Limiao Zhang, Xinyang Qi, Haiping Ma, Jie Gao, Xingyi Zhang, Yanqing Hu, Yaochu Jin:
Spatial-Temporal Analysis of Collective Emotional Resonance in China During Global Health Crisis. 659-672
Session 12: Blockchain and Web Interoperability
- Yongxuan Han, Shengzhong Liu, Fan Wu, Guihai Chen:
ABO: Abandon Bayer Filter for Adaptive Edge Offloading in Responsive Augmented Reality. 673-684 - Sayan Biswas, Anne-Marie Kermarrec, Alexis Marouani, Rafael Pires, Rishi Sharma, Martijn de Vos:
Boosting Asynchronous Decentralized Learning with Model Fragmentation. 685-696 - Yongzheng Xie, Hongyu Zhang, Muhammad Ali Babar:
Multivariate Time Series Anomaly Detection by Capturing Coarse-Grained Intra- and Inter-Variate Dependencies. 697-705 - Mingxuan Song, Pengze Li, Bohan Zhou, Shenglin Yin, Zhen Xiao, Jieyi Long:
AERO: Enhancing Sharding Blockchain via Deep Reinforcement Learning for Account Migration. 706-716 - Yinfeng Cao, Jiannong Cao, Dongbin Bai, Long Wen, Yang Liu, Ruidong Li:
MAP the Blockchain World: A Trustless and Scalable Blockchain Interoperability Protocol for Cross-chain Applications. 717-726
Session 13: Web Acceleration and Optimization
- Ayush Pandey, Matteo Varvello, Syed Ishtiaque Ahmed, Shurui Zhou, Lakshmi Subramanian, Yasir Zaki:
MAML: Towards a Faster Web in Developing Regions. 727-739 - Qi Zhang, Qian Wu, Zeqi Lai, Jihao Li, Hewu Li, Yuyu Liu, Yuanjie Li, Jun Liu:
Spache: Accelerating Ubiquitous Web Browsing via Schedule-Driven Space Caching. 740-750 - Yudong Han, Weichen Bi, Ruibo An, Deyu Tian, Qi Yang, Yun Ma:
GL2GPU: Accelerating WebGL Applications via Dynamic API Translation to WebGPU. 751-762 - Xinbiao Gan, Tiejun Li, Qiang Zhang, Guang Wu, Bo Yang, Chunye Gong, Jie Liu, Kai Lu:
GraphCSR: A Space and Time-Efficient Sparse Matrix Representation for Web-scale Graph Processing. 763-771 - Hung Vinh Tran, Tong Chen, Guanhua Ye, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin:
On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective. 772-785
Session 14: AI for Web Systems
- Xinbiao Gan, Tiejun Li, Liang Wu, Qiang Zhang, Lingyun Song, Bo Yang, Jie Liu, Kai Lu:
GraphCom: Communication Hierarchy-aware Graph Engine for Distributed Model Training. 786-795 - Jinzhi Liao, Zenghua Liao, Xiang Zhao:
PSSD: Making Large Language Models Self-denial via Human Psyche Structure. 796-806 - Yongqiang Huang, Zerui Shao, Ziyuan Yang, Zexin Lu, Yi Zhang:
FedRIR: Rethinking Information Representation in Federated Learning. 807-816 - Kaibin Wang, Qiang He, Zeqian Dong, Rui Chen, Chuan He, Caslon Chua, Feifei Chen, Yun Yang:
Maverick: Personalized Edge-Assisted Federated Learning with Contrastive Training. 817-828 - Ke Cheng, Zhi Wang, Wen Hu, Tiannuo Yang, Jianguo Li, Sheng Zhang:
SCOOT: SLO-Oriented Performance Tuning for LLM Inference Engines. 829-839
Session 15: Machine Learning Security and Adversarial Attacks
- Hao Wang, Shangwei Guo, Jialing He, Hangcheng Liu, Tianwei Zhang, Tao Xiang:
Model Supply Chain Poisoning: Backdooring Pre-trained Models via Embedding Indistinguishability. 840-851 - Ken Li, Bin Shi, Jiazhe Wei, Bo Dong:
NI-GDBA: Non-Intrusive Distributed Backdoor Attack Based on Adaptive Perturbation on Federated Graph Learning. 852-862 - Yanni Xue, Jiakai Wang, Zixin Yin, Yuqing Ma, Haotong Qin, Renshuai Tao, Xianglong Liu:
Dual Intention Escape: Penetrating and Toxic Jailbreak Attack against Large Language Models. 863-871 - Wuyuao Mai, Geng Hong, Pei Chen, Xudong Pan, Baojun Liu, Yuan Zhang, Haixin Duan, Min Yang:
You Can't Eat Your Cake and Have It Too: The Performance Degradation of LLMs with Jailbreak Defense. 872-883
Session 16: Federated Learning and Privacy
- Ruonan Chen, Ye Dong, Yizhong Liu, Tingyu Fan, Dawei Li, Zhenyu Guan, Jianwei Liu, Jianying Zhou:
FLock: Robust and Privacy-Preserving Federated Learning based on Practical Blockchain State Channels. 884-895 - Minghong Fang, Xilong Wang, Neil Zhenqiang Gong:
Provably Robust Federated Reinforcement Learning. 896-909 - Jie Ren, Kangrui Chen, Chen Chen, Vikash Sehwag, Yue Xing, Jiliang Tang, Lingjuan Lyu:
Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Model. 910-920 - Runze Wang, Jiahao Liu, Miao Hu, Yipeng Zhou, Di Wu:
Local Differentially Private Release of Infinite Streams With Temporal Relevance. 921-930 - He Zhang, Bang Wu, Xiangwen Yang, Xingliang Yuan, Xiaoning Liu, Xun Yi:
Dynamic Graph Unlearning: A General and Efficient Post-Processing Method via Gradient Transformation. 931-944
Session 17: Phishing, Deception, and Consumer Risks
- Kiho Lee, Kyungchan Lim, Hyoungshick Kim, Yonghwi Kwon, Doowon Kim:
7 Days Later: Analyzing Phishing-Site Lifespan After Detected. 945-956 - Kyungchan Lim, Kiho Lee, Fujiao Ji, Yonghwi Kwon, Hyoungshick Kim, Doowon Kim:
What's in Phishers: A Longitudinal Study of Security Configurations in Phishing Websites and Kits. 957-968 - Medhasree Ghosh, Swapnil Srivastava, Apoorva Upadhyaya, Raju Halder, Joydeep Chandra:
CATALOG: Exploiting Joint Temporal Dependencies for Enhanced Phishing Detection on Ethereum. 969-977 - Zewei Shi, Ruoxi Sun, Jieshan Chen, Jiamou Sun, Minhui Xue, Yansong Gao, Feng Liu, Xingliang Yuan:
50 Shades of Deceptive Patterns: A Unified Taxonomy, Multimodal Detection, and Security Implications. 978-989 - Elisa Tsai, Neal Mangaokar, Boyuan Zheng, Haizhong Zheng, Atul Prakash:
Harmful Terms and Where to Find Them: Measuring and Modeling Unfavorable Financial Terms and Conditions in Shopping Websites at Scale. 990-1003
Session 18: Blockchain and System Security
- Jiaxin Wang, Qian'ang Mao, Hongliang Sun, Jiaqi Yan:
Gamblers or Delegatees: Identifying Hidden Participant Roles in Crypto Casinos. 1004-1015 - Phuong Duy Huynh, Son Hoang Dau, Nicholas Huppert, Joshua Cervenjak, Hoonie Sun, Hong Yen Tran, Xiaodong Li, Emanuele Viterbo:
Serial Scammers and Attack of the Clones: How Scammers Coordinate Multiple Rug Pulls on Decentralized Exchanges. 1016-1033 - Muhammad Muzammil, Abisheka Pitumpe, Xigao Li, Amir Rahmati, Nick Nikiforakis:
The Poorest Man in Babylon: A Longitudinal Study of Cryptocurrency Investment Scams. 1034-1045 - Anyuan Sang, Xuezheng Fan, Li Yang, Yuchen Wang, Lu Zhou, Junbo Jia, Huipeng Yang:
STGAN: Detecting Host Threats via Fusion of Spatial-Temporal Features in Host Provenance Graphs. 1046-1057 - Tianyu Zhang, Han Zhang, Yunze Wei, Yahui Li, Xingang Shi, Jilong Wang, Xia Yin:
ACME++: A Secure Authorization Mechanism for ACME Clients in the Web PKI Ecosystem. 1058-1067
Session 19: Website Fingerprinting, Browser Security, and Web Authentication
- Wenwen Meng, Chuan Ma, Ming Ding, Chunpeng Ge, Yuwen Qian, Tao Xiang:
Beyond Single Tabs: A Transformative Few-Shot Approach to Multi-Tab Website Fingerprinting Attacks. 1068-1077 - Yifei Cheng, Yujia Zhu, Baiyang Li, Peishuai Sun, Yong Ding, Xinhao Deng, Qingyun Liu:
HOLMES & WATSON: A Robust and Lightweight HTTPS Website Fingerprinting through HTTP Version Parallelism. 1078-1092 - Leon Trampert, Lorenz Hetterich, Lukas Gerlach, Mona Schappert, Christian Rossow, Michael Schwarz:
Peripheral Instinct: How External Devices Breach Browser Sandboxes. 1093-1104 - Stefano Calzavara, Samuele Casarin, Riccardo Focardi:
Dynamic Security Analysis of JavaScript: Are We There Yet? 1105-1115 - Md Mojibur Rahman Redoy Akanda, Ahmed Tanvir Mahdad, Nitesh Saxena:
Broken Access: On the Challenges of Screen Reader Assisted Two-Factor and Passwordless Authentication. 1116-1128
Session 20: Graph Foundation Models
- Dongxiao He, Yongqi Huang, Jitao Zhao, Xiaobao Wang, Zhen Wang:
Str-GCL: Structural Commonsense Driven Graph Contrastive Learning. 1129-1141 - Xingtong Yu, Zechuan Gong, Chang Zhou, Yuan Fang, Hui Zhang:
SAMGPT: Text-free Graph Foundation Model for Multi-domain Pre-training and Cross-domain Adaptation. 1142-1153 - Li Sun, Zhenhao Huang, Suyang Zhou, Qiqi Wan, Hao Peng, Philip S. Yu:
RiemannGFM: Learning a Graph Foundation Model from Riemannian Geometry. 1154-1165 - Zhibin Ni, Pan Fan, Shengzhuo Dai, Bo Zhang, Hai Wan, Xibin Zhao:
FG-CIBGC: A Unified Framework for Fine-Grained and Class-Incremental Behavior Graph Classification. 1166-1181 - Wenxuan Guo, Runzhong Wang, Yanyan Xu, Yaohui Jin:
Unified and Generalizable Reinforcement Learning for Facility Location Problems on Graphs. 1182-1195
Session 21: Trustworthy Graph Learning
- Jinluan Yang, Zhengyu Chen, Teng Xiao, Yong Lin, Wenqiao Zhang, Kun Kuang:
Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts. 1196-1204 - Fan Liu, Hao Liu:
Subgraph Federated Unlearning. 1205-1215 - Zhengyang Liu, Hang Yu, Xiangfeng Luo:
Federated Graph Anomaly Detection via Disentangled Representation Learning. 1216-1224 - Xiangyu Dong, Xingyi Zhang, Yanni Sun, Lei Chen, Mingxuan Yuan, Sibo Wang:
SmoothGNN: Smoothing-aware GNN for Unsupervised Node Anomaly Detection. 1225-1236 - Yuanhao Ding, Yang Liu, Yugang Ji, Weigao Wen, Qing He, Xiang Ao:
SPEAR: A Structure-Preserving Manipulation Method for Graph Backdoor Attacks. 1237-1247
Session 22: Complex Graph Learning
- Zheng Gong, Shuheng Shen, Changhua Meng, Ying Sun:
Exploring Hypergraph Condensation via Variational Hyperedge Generation and Multi-Aspectual Amelioration. 1248-1260 - Minyoung Choe, Jihoon Ko, Taehyung Kwon, Kijung Shin, Christos Faloutsos:
Kronecker Generative Models for Power-Law Patterns in Real-World Hypergraphs. 1261-1272 - Yifan Wang, Gonzalo R. Arce, Guangmo Tong:
Generalization Performance of Hypergraph Neural Networks. 1273-1291 - Zhenhua Huang, Wenhao Zhou, Yufeng Li, Xiuyang Wu, Chengpei Xu, Junfeng Fang, Zhaohong Jia, Linyuan Lü, Feng Xia:
SEHG: Bridging Interpretability and Prediction in Self-Explainable Heterogeneous Graph Neural Networks. 1292-1304 - Xin Wang, Jiawei Jiang, Xiao Yan, Qiang Huang:
TESA: A Trajectory and Semantic-aware Dynamic Heterogeneous Graph Neural Network. 1305-1315
Session 23: Classical Graph Learning
- Xiaowei Lv, Xiaojia Xu, Yongcai Wang, Haoyu Liu, Deying Li:
Coreness Maximization through Budget-Limited Edge Insertion. 1316-1330 - Yubo Sun, Haoxin Sun, Zhongzhi Zhang:
Scalable Algorithms for Forest-Based Centrality on Large Graphs. 1331-1341 - Dongyuan Li, Satoshi Kosugi, Ying Zhang, Manabu Okumura, Feng Xia, Renhe Jiang:
Revisiting Dynamic Graph Clustering via Matrix Factorization. 1342-1352 - Kun Xie, Renchi Yang, Sibo Wang:
Diffusion-based Graph-agnostic Clustering. 1353-1364 - Juwei Yue, Haikuo Li, Jiawei Sheng, Yihan Guo, Xinghua Zhang, Chuan Zhou, Tingwen Liu, Li Guo:
Graph Wave Networks. 1365-1379
Session 24: Auctions and Games
- Xiaodong Liu, Xiao Lin, Yiming Ding, Changcheng Li, Peng Jiang, Weiran Shen:
Optimizing Revenue through User Coupon Recommendations in Truthful Online Ad Auctions. 1380-1388 - Martino Banchio, Kshipra Bhawalkar, Christopher Liaw, Aranyak Mehta, Andrés Perlroth:
Autobidding With Interdependent Values. 1389-1397 - Gagan Aggarwal, Giannis Fikioris, Mingfei Zhao:
No-Regret Algorithms in non-Truthful Auctions with Budget and ROI Constraints. 1398-1415 - Yukun Cheng, Xiaotie Deng, Yunxuan Ma:
Networked Digital Public Goods Games with Heterogeneous Players and Convex Costs. 1416-1424 - Yuqi Pan, Zhiwei Steven Wu, Haifeng Xu, Shuran Zheng:
Differentially Private Bayesian Persuasion. 1425-1440
Session 25: Data, Incentives and Applications
- Yongkang Guo, Yuqing Kong, Jialiang Liu:
Mitigating the Participation Bias by Balancing Extreme Ratings. 1441-1455 - Qiyuan Wang, Ruiling Xu, Shibo He, Randall Berry, Meng Zhang:
Unlearning Incentivizes Learning under Privacy Risk. 1456-1467 - Serena Wang, Michael I. Jordan, Katrina Ligett, R. Preston McAfee:
Relying on the Metrics of Evaluated Agents. 1468-1487 - Yanxuan Wu, Haihan Duan, Xitong Li, Xiping Hu:
Navigating the Deployment Dilemma and Innovation Paradox: Open-Source versus Closed-source Models. 1488-1501 - Yi Chen, Ramya Korlakai Vinayak:
Query Design for Crowdsourced Clustering: Effect of Cognitive Overload and Contextual Bias. 1502-1521
Session 26: Ecosystems
- Emmanouil Papadogiannakis, Nicolas Kourtellis, Panagiotis Papadopoulos, Evangelos P. Markatos:
Welcome to the Dark Side: Analyzing the Revenue Flows of Fraud in the Online Ad Ecosystem. 1522-1535 - Ahsan Zafar, Anupam Das:
Assessing Compliance in Digital Advertising: A Deep Dive into Acceptable Ads Standards. 1536-1547 - Theresia Veronika Rampisela, Tuukka Ruotsalo, Maria Maistro, Christina Lioma:
Joint Evaluation of Fairness and Relevance in Recommender Systems with Pareto Frontier. 1548-1566
Session 27: Responsible Web: Methods and Applications
- Eason Chen, Xinyi Tang, Zimo Xiao, Chuangji Li, Shizhuo Li, Tingguan Wu, Siyun Wang, Kostas Kryptos Chalkias:
SuiGPT MAD: Move AI Decompiler to Improve Transparency and Auditability on Non-Open-Source Blockchain Smart Contract. 1567-1576 - Emmanouil Papadogiannakis, Panagiotis Papadopoulos, Nicolas Kourtellis, Evangelos P. Markatos:
Before & After: The Effect of EU's 2022 Code of Practice on Disinformation. 1577-1587 - Zhiwen Li, Die Chen, Mingyuan Fan, Cen Chen, Yaliang Li, Yanhao Wang, Wenmeng Zhou:
Responsible Diffusion Models via Constraining Text Embeddings within Safe Regions. 1588-1601 - Baiqi Chen, Jiawei Lyu, Tingmin Wu, Mohan Baruwal Chhetri, Guangdong Bai:
Semantics-Aware Cookie Purpose Compliance. 1602-1613 - Jiatong Ma, Linmei Hu, Rang Li, Wenbo Fu:
LoCal: Logical and Causal Fact-Checking with LLM-Based Multi-Agents. 1614-1625
Session 28: Retrieval Methods
- Bailu Ding, Jiaqi Zhai:
Retrieval with Learned Similarities. 1626-1637 - Yiqun Chen, Qi Liu, Yi Zhang, Weiwei Sun, Xinyu Ma, Wei Yang, Daiting Shi, Jiaxin Mao, Dawei Yin:
TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy. 1638-1652 - Weiren Yu:
SimEdge: A Scalable Transitivity-Aware Graph-Theoretic Similarity Model for Capturing Edge-to-Edge Relationships. 1653-1665 - Pengfei Luo, Jingbo Zhou, Tong Xu, Yuan Xia, Linli Xu, Enhong Chen:
ImageScope: Unifying Language-Guided Image Retrieval via Large Multimodal Model Collective Reasoning. 1666-1682 - Yejing Wang, Chi Zhang, Xiangyu Zhao, Qidong Liu, Maolin Wang, Xuetao Wei, Zitao Liu, Xing Shi, Xudong Yang, Ling Zhong, Wei Lin:
Behavior Modeling Space Reconstruction for E-Commerce Search. 1683-1692
Session 29: Post Retrieval and Search-based Text Generation
- Tao Tan, Yining Qian, Ang Lv, Hongzhan Lin, Songhao Wu, Yongbo Wang, Feng Wang, Jingtong Wu, Xin Lu, Rui Yan:
PEAR: Position-Embedding-Agnostic Attention Re-weighting Enhances Retrieval-Augmented Generation with Zero Inference Overhead. 1693-1702 - Yiqun Chen, Jiaxin Mao, Yi Zhang, Dehong Ma, Long Xia, Jun Fan, Daiting Shi, Zhicong Cheng, Simiu Gu, Dawei Yin:
MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification. 1703-1715 - Xiaoshuai Song, Zhengyang Wang, Keqing He, Guanting Dong, Yutao Mou, Jinxu Zhao, Weiran Xu:
Assessing and Post-Processing Black Box Large Language Models for Knowledge Editing. 1716-1732 - Jiejun Tan, Zhicheng Dou, Wen Wang, Mang Wang, Weipeng Chen, Ji-Rong Wen:
HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems. 1733-1746 - Chuang Zhao, Hui Tang, Jiheng Zhang, Xiaomeng Li:
Unveiling Discrete Clues: Superior Healthcare Predictions for Rare Diseases. 1747-1758
Session 30: Scalable and Secure Data Processing
- Yufei He, Yuan Sui, Xiaoxin He, Yue Liu, Yifei Sun, Bryan Hooi:
UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs. 1759-1770 - Lecheng Zheng, John R. Birge, Haiyue Wu, Yifang Zhang, Jingrui He:
Cluster Aware Graph Anomaly Detection. 1771-1782 - Weihe Li, Zukai Li, Beyza Bütün, Alec F. Diallo, Marco Fiore, Paul Patras:
Pontus: A Memory-Efficient and High-Accuracy Approach for Persistence-Based Item Lookup in High-Velocity Data Streams. 1783-1794 - Yuanmin Huang, Mi Zhang, Zhaoxiang Wang, Wenxuan Li, Min Yang:
Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain. 1795-1810
Session 31: Generative AI for the Web
- Hao Li, Yubing Ren, Yanan Cao, Yingjie Li, Fang Fang, Zheng Lin, Shi Wang:
Bridging the Gap: Aligning Language Model Generation with Structured Information Extraction via Controllable State Transition. 1811-1821 - Chenyang Shao, Xinyuan Hu, Yutang Lin, Fengli Xu:
Division-of-Thoughts: Harnessing Hybrid Language Model Synergy for Efficient On-Device Agents. 1822-1833 - Yi Gui, Zhen Li, Yao Wan, Yemin Shi, Hongyu Zhang, Bohua Chen, Yi Su, Dongping Chen, Siyuan Wu, Xing Zhou, Wenbin Jiang, Hai Jin, Xiangliang Zhang:
WebCode2M: A Real-World Dataset for Code Generation from Webpage Designs. 1834-1845 - Yi Gui, Yao Wan, Zhen Li, Zhongyi Zhang, Dongping Chen, Hongyu Zhang, Yi Su, Bohua Chen, Xing Zhou, Wenbin Jiang, Xiangliang Zhang:
UICopilot: Automating UI Synthesis via Hierarchical Code Generation from Webpage Designs. 1846-1855 - Yuhao Gu, Chunyu Chen, Jiangsu Du, Xiaoxi Zhang, Xianwei Zhang:
ORFA: Exploring WebAssembly as a Turing Complete Query Language for Web APIs. 1856-1865
Session 32: People, Platforms, and Personalization
- Xin Wang, Ling Feng, Huijun Zhang, Lei Cao, Kaisheng Zeng, Qi Li, Yang Ding, Yi Dai, David A. Clifton:
MISE: Meta-knowledge Inheritance for Social Media-Based Stressor Estimation. 1866-1876 - Rui Wang, Jiahao Lu, Xincheng Lv, Shuyu Chang, Yansheng Wu, Yuanzhi Yao, Haiping Huang, Guozi Sun:
Mining User Preferences from Online Reviews with the Genre-aware Personalized Neural Topic Model. 1877-1888 - Masudul Hasan Masud Bhuiyan, Matteo Varvello, Cristian-Alexandru Staicu, Yasir Zaki:
Digital Disparities: A Comparative Web Measurement Study Across Economic Boundaries. 1889-1900 - Yu Zhang, Yanzhen Shen, SeongKu Kang, Xiusi Chen, Bowen Jin, Jiawei Han:
Chain-of-Factors Paper-Reviewer Matching. 1901-1910 - Yunyong Ko, Seongeun Ryu, Sang-Wook Kim:
CROWN: A Novel Approach to Comprehending Users' Preferences for Accurate Personalized News Recommendation. 1911-1921
Poster Session 1
- Yuval Schwartz, Lavi Ben-Shimol, Dudu Mimran, Yuval Elovici, Asaf Shabtai:
LLMCloudHunter: Harnessing LLMs for Automated Extraction of Detection Rules from Cloud-Based CTI. 1922-1941 - Yuxia Sun, Huihong Chen, Zhixiao Fu, Wenjian Lv, Zitao Liu, Haolin Liu:
WasmGuard: Enhancing Web Security through Robust Raw-Binary Detection of WebAssembly Malware. 1942-1950 - Zitao Xu, Xiaoqing Chen, Weike Pan, Zhong Ming:
Heterogeneous Graph Transfer Learning for Category-aware Cross-Domain Sequential Recommendation. 1951-1962 - Tianyu Zhang, Junfeng Fang, Houcheng Jiang, Baolong Bi, Xiang Wang, Xiangnan He:
Explainable and Efficient Editing for Large Language Models. 1963-1976 - Yuchao Ma, Weian Li, Yuejia Dou, Zhiyuan Su, Changyuan Yu, Qi Qi:
A Context-Aware Framework for Integrating Ad Auctions and Recommendations. 1977-1991 - Meng Yuan, Yutian Xiao, Wei Chen, Chou Zhao, Deqing Wang, Fuzhen Zhuang:
Hyperbolic Diffusion Recommender Model. 1992-2006 - Xuan Rao, Shuo Shang, Renhe Jiang, Peng Han, Lisi Chen:
Seed: Bridging Sequence and Diffusion Models for Road Trajectory Generation. 2007-2017 - Chu Zhao, Enneng Yang, Yuliang Liang, Jianzhe Zhao, Guibing Guo, Xingwei Wang:
Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model. 2018-2031 - Yunyi Zhang, Ruozhen Yang, Xueqiang Xu, Rui Li, Jinfeng Xiao, Jiaming Shen, Jiawei Han:
TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision. 2032-2042 - Haibo Liu, Chen Gong, Zhenzhe Zheng, Shengzhong Liu, Fan Wu:
Enabling Real-Time Inference in Online Continual Learning via Device-Cloud Collaboration. 2043-2052 - Xutong Wang, Yun Feng, Bingsheng Bi, Yaqin Cao, Ze Jin, Xinyu Liu, Yuling Liu, Yunpeng Li:
Not All Benignware Are Alike: Enhancing Clean-Label Attacks on Malware Classifiers. 2053-2063 - Qi Yu, Zhichen Zeng, Yuchen Yan, Lei Ying, R. Srikant, Hanghang Tong:
Joint Optimal Transport and Embedding for Network Alignment. 2064-2075 - Shenghao Yang, Weizhi Ma, Zhiqiang Guo, Min Zhang, Haiyang Wu, Junjie Zhai, Chunhui Zhang, Yuekui Yang:
Explainable Multi-Modality Alignment for Transferable Recommendation. 2076-2084 - Baolei Zhang, Haoran Xin, Minghong Fang, Zhuqing Liu, Biao Yi, Tong Li, Zheli Liu:
Traceback of Poisoning Attacks to Retrieval-Augmented Generation. 2085-2097 - Jiayi Luo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Jianxin Li:
Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification. 2098-2110 - Jianling Gao, Chongyang Tao, Zhenchao Sun, Xiya Jiang, Shuai Ma:
Semi-Supervised Anomaly Detection through Denoising-Aware Contrastive Distance Learning. 2111-2119 - Sijie Mai, Ying Zeng, Haifeng Hu:
Learning by Comparing: Boosting Multimodal Affective Computing through Ordinal Learning. 2120-2134 - Hong Liu, Zhe Wang, Kewen Wang, Xiaowang Zhang, Zhiyong Feng:
Transfer Rule Learning over Large Knowledge Graphs. 2135-2143 - Shuzheng Wang, Yue Huang, Wenqin Zhang, Yuming Huang, Xuechao Wang, Jing Tang:
Private Order Flows and Builder Bidding Dynamics: The Road to Monopoly in Ethereum's Block Building Market. 2144-2157 - Xuanwen Huang, Wei Chow, Yize Zhu, Yang Wang, Ziwei Chai, Chunping Wang, Lei Chen, Yang Yang:
Enhancing Cross-domain Link Prediction via Evolution Process Modeling. 2158-2171 - Weiheng Wu, Wei Qiao, Wenhao Yan, Bo Jiang, Yuling Liu, Baoxu Liu, Zhigang Lu, Junrong Liu:
Brewing Vodka: Distilling Pure Knowledge for Lightweight Threat Detection in Audit Logs. 2172-2182 - Yun Zhu, Haizhou Shi, Xiaotang Wang, Yongchao Liu, Yaoke Wang, Boci Peng, Chuntao Hong, Siliang Tang:
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs. 2183-2197 - Yi Zhang, Yiwen Zhang:
MixRec: Individual and Collective Mixing Empowers Data Augmentation for Recommender Systems. 2198-2208 - Sujia Huang, Yueyang Pi, Tong Zhang, Wenzhe Liu, Zhen Cui:
Boosting Graph Convolution with Disparity-induced Structural Refinement. 2209-2221 - Zhengliang Shi, Shen Gao, Lingyong Yan, Yue Feng, Xiuyi Chen, Zhumin Chen, Dawei Yin, Suzan Verberne, Zhaochun Ren:
Tool Learning in the Wild: Empowering Language Models as Automatic Tool Agents. 2222-2237 - Yayao Hong, Liyue Chen, Leye Wang, Xiuhuai Xie, Guofeng Luo, Cheng Wang, Longbiao Chen:
STKOpt: Automated Spatio-Temporal Knowledge Optimization for Traffic Prediction. 2238-2249 - Zixiang Wang, Yinghao Zhu, Huiya Zhao, Xiaochen Zheng, Dehao Sui, Tianlong Wang, Wen Tang, Yasha Wang, Ewen M. Harrison, Chengwei Pan, Junyi Gao, Liantao Ma:
ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration. 2250-2261
Poster Session 2
- Xingye Chen, Wei Feng, Zhenbang Du, Weizhen Wang, Yanyin Chen, Haohan Wang, Linkai Liu, Yaoyu Li, Jinyuan Zhao, Yu Li, Zheng Zhang, Jingjing Lv, Junjie Shen, Zhangang Lin, Jingping Shao, Yuanjie Shao, Xinge You, Changxin Gao, Nong Sang:
CTR-Driven Advertising Image Generation with Multimodal Large Language Models. 2262-2275 - Ziqi Xu, Sevvandi Kandanaarachchi, Cheng Soon Ong, Eirini Ntoutsi:
Fairness Evaluation with Item Response Theory. 2276-2288 - Yongfu Wei, Yan Lin, Hongfan Gao, Ronghui Xu, Sean Bin Yang, Jilin Hu:
Path-LLM: A Multi-Modal Path Representation Learning by Aligning and Fusing with Large Language Models. 2289-2298 - Kaiyu Chen, Dong Wen, Hanchen Wang, Zhengyi Yang, Wenjie Zhang, Xuemin Lin:
Covering K-Cliques in Billion-Scale Graphs. 2299-2308 - Peizhuang Cong, Qizhi Chen, Haochen Zhao, Tong Yang:
BATON: Enhancing Batch-wise Inference Efficiency for Large Language Models via Dynamic Re-batching. 2309-2318 - Zhenning Shi, Dan Zhao, Yijia Zhu, Guorui Xie, Qing Li, Yong Jiang:
Helios: Learning and Adaptation of Matching Rules for Continual In-Network Malicious Traffic Detection. 2319-2329 - Xiangwei Lv, Jingyuan Chen, Mengze Li, Yongduo Sui, Zemin Liu, Beishui Liao:
Grasp the Key Takeaways from Source Domain for Few Shot Graph Domain Adaptation. 2330-2340 - Jintao Sun, Hao Fei, Gangyi Ding, Zhedong Zheng:
From Data Deluge to Data Curation: A Filtering-WoRA Paradigm for Efficient Text-based Person Search. 2341-2351 - Yiluo Wei, Gareth Tyson:
Virtual Stars, Real Fans: Understanding the VTuber Ecosystem. 2352-2365 - Hongjin Qian, Zheng Liu, Peitian Zhang, Kelong Mao, Defu Lian, Zhicheng Dou, Tiejun Huang:
MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation. 2366-2377 - Zhihua Wen, Zhizhao Liu, Zhiliang Tian, Shilong Pan, Zhen Huang, Dongsheng Li, Minlie Huang:
Scenario-independent Uncertainty Estimation for LLM-based Question Answering via Factor Analysis. 2378-2390 - Zenan Lu, Xiaotian Zhou, Zhongzhi Zhang:
Fast Estimation and Optimization of Resistance Diameter on Graphs. 2391-2401 - Pengbo Wang, Gongming Zhao, Yuantao Wu, Hongli Xu, Haibo Wang:
X-ClusterLink: An Efficient Cross-Cluster Communication Framework in Multi-Kubernetes Clusters. 2402-2412 - Zheyuan Gu, Chang Liu, Xiyuan Zhang, Chen Yang, Gaopeng Gou, Gang Xiong, Zhen Li, Sijia Li:
DecETT: Accurate App Fingerprinting Under Encrypted Tunnels via Dual Decouple-based Semantic Enhancement. 2413-2423 - Xiaoyi Shi, Lin He, Jiasheng Zhou, Yifan Yang, Ying Liu:
Miresga: Accelerating Layer-7 Load Balancing with Programmable Switches. 2424-2434 - Saurabh Kumar, Valerio La Gatta, Andrea Pugliese, Andrew Pulver, V. S. Subrahmanian, Jiazhi Zhang, Youzhi Zhang:
Reinforcement-Learning Based Covert Social Influence Operations. 2435-2449 - Jia-Nan Li, Jian Guan, Wei Wu, Zhengtao Yu, Rui Yan:
2D-TPE: Two-Dimensional Positional Encoding Enhances Table Understanding for Large Language Models. 2450-2463 - Ziyi Zhuang, Hanwen Du, Hui Han, Youhua Li, Junchen Fu, Joemon M. Jose, Yongxin Ni:
Bridging the Gap: Teacher-Assisted Wasserstein Knowledge Distillation for Efficient Multi-Modal Recommendation. 2464-2475 - Ruohan Yang, Muhammad Asif Ali, Huan Wang, Junyang Chen, Di Wang:
LUSTER: Link Prediction Utilizing Shared-Latent Space Representation in Multi-Layer Networks. 2476-2487 - Jiayun Zhang, Junshen Xu, Bugra Can, Yi Fan:
REACT: Residual-Adaptive Contextual Tuning for Fast Model Adaptation in Threat Detection. 2488-2499 - Linkang Du, Zheng Zhu, Min Chen, Zhou Su, Shouling Ji, Peng Cheng, Jiming Chen, Zhikun Zhang:
ArtistAuditor: Auditing Artist Style Pirate in Text-to-Image Generation Models. 2500-2513 - Yunjie He, Bo Xiong, Daniel Hernández, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab:
DAGE: DAG Query Answering via Relational Combinator with Logical Constraints. 2514-2529 - Mingyang Zhou, Gang Liu, Kezhong Lu, Hao Liao, Rui Mao:
Highly-efficient Minimization of Network Connectivity in Large-scale Graphs. 2530-2539 - Jiahao Sun, Chen Chen, Chunyan Hou, Yike Wu, Xiaojie Yuan:
Multimodal Taylor Series Network for Misinformation Detection. 2540-2548 - Wenkuan Zhao, Shanshan Zhong, Yifan Liu, Wushao Wen, Jinghui Qin, Mingfu Liang, Zhongzhan Huang:
DVIB: Towards Robust Multimodal Recommender Systems via Variational Information Bottleneck Distillation. 2549-2561
Poster Session 3
- Tianlong Wang, Xianfeng Jiao, Yinghao Zhu, Zhongzhi Chen, Yifan He, Xu Chu, Junyi Gao, Yasha Wang, Liantao Ma:
Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categories. 2562-2578 - Shuaiqi Wang, Shuran Zheng, Zinan Lin, Giulia Fanti, Zhiwei Steven Wu:
Inferentially-Private Private Information. 2579-2595 - Junjie Zhang, Ruobing Xie, Hongyu Lu, Wenqi Sun, Wayne Xin Zhao, Yu Chen, Zhanhui Kang:
Frequency-Augmented Mixture-of-Heterogeneous-Experts Framework for Sequential Recommendation. 2596-2605 - Mohamed Bouadi, Arta Alavi, Salima Benbernou, Mourad Ouziri:
Synergizing Large Language Models and Knowledge-Based Reasoning for Interpretable Feature Engineering. 2606-2620 - Heesoo Jung, Hogun Park:
Balancing Graph Embedding Smoothness in Self-supervised Learning via Information-Theoretic Decomposition. 2621-2632 - Yiyun Zhou, Zheqi Lv, Shengyu Zhang, Jingyuan Chen:
Disentangled Knowledge Tracing for Alleviating Cognitive Bias. 2633-2645 - Yonghao Liu, Mengyu Li, Fausto Giunchiglia, Lan Huang, Ximing Li, Xiaoyue Feng, Renchu Guan:
Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks. 2646-2656 - Alexandra Khirianova, Ekaterina Solodneva, Andrey Pudovikov, Sergey Osokin, Egor Samosvat, Yuriy Dorn, Alexander Ledovsky, Yana Zenkova:
BAT: Benchmark for Auto-bidding Task. 2657-2667 - Taotao Wang, Zibin Lin, Shengli Zhang, Long Shi, Qing Yang, Boris Düdder:
Linking Souls to Humans: Blockchain Accounts with Credible Anonymity for Web 3.0 Decentralized Identity. 2668-2676 - Zihao Cheng, Li Zhou, Feng Jiang, Benyou Wang, Haizhou Li:
Beyond Binary: Towards Fine-Grained LLM-Generated Text Detection via Role Recognition and Involvement Measurement. 2677-2688 - Xiaohua Feng, Yuyuan Li, Fengyuan Yu, Li Zhang, Chaochao Chen, Xiaolin Zheng:
Plug and Play: Enabling Pluggable Attribute Unlearning in Recommender Systems. 2689-2699 - Yichen Li, Yijing Shan, Yi Liu, Haozhao Wang, Wei Wang, Yi Wang, Ruixuan Li:
Personalized Federated Recommendation for Cold-Start Users via Adaptive Knowledge Fusion. 2700-2709 - Hossein Nekouyan Jazi, Bo Sun, Raouf Boutaba, Xiaoqi Tan:
Posted Price Mechanisms for Online Allocation with Diseconomies of Scale. 2710-2728 - Ximu Zeng, Liwei Deng, Penghao Chen, Xu Chen, Han Su, Kai Zheng:
LIRA: A Learning-based Query-aware Partition Framework for Large-scale ANN Search. 2729-2741 - Yusong Zhang, Kun Xie, Xingyi Zhang, Xiangyu Dong, Sibo Wang:
Rumor Detection on Social Media with Reinforcement Learning-based Key Propagation Graph Generator. 2742-2753 - Minjie Hong, Yan Xia, Zehan Wang, Jieming Zhu, Ye Wang, Sihang Cai, Xiaoda Yang, Quanyu Dai, Zhenhua Dong, Zhimeng Zhang, Zhou Zhao:
EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration. 2754-2762 - Jian Lang, Rongpei Hong, Jin Xu, Yili Li, Xovee Xu, Fan Zhou:
Biting Off More Than You Can Detect: Retrieval-Augmented Multimodal Experts for Short Video Hate Detection. 2763-2774 - Yi Liu, Cong Wang, Xingliang Yuan:
FedMobile: Enabling Knowledge Contribution-aware Multi-modal Federated Learning with Incomplete Modalities. 2775-2786 - Jin Li, Shoujin Wang, Qi Zhang, Shui Yu, Fang Chen:
Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations. 2787-2798 - Xixuan Hao, Wei Chen, Xingchen Zou, Yuxuan Liang:
Nature Makes No Leaps: Building Continuous Location Embeddings with Satellite Imagery from the Web. 2799-2812 - Hequan Shi, Lingyun Ying, Libo Chen, Haixin Duan, Ming Liu, Zhi Xue:
Dr. Docker: A Large-Scale Security Measurement of Docker Image Ecosystem. 2813-2823 - Rina Carines Cabral, Soyeon Caren Han, Areej Alhassan, Riza Batista-Navarro, Goran Nenadic, Josiah Poon:
TriG-NER: Triplet-Grid Framework for Discontinuous Named Entity Recognition. 2824-2837 - Junwei Yin, Min Gao, Kai Shu, Wentao Li, Yinqiu Huang, Zongwei Wang:
Graph with Sequence: Broad-Range Semantic Modeling for Fake News Detection. 2838-2849 - Gagan Aggarwal, Anupam Gupta, Xizhi Tan, Mingfei Zhao:
Multi-Platform Autobidding with and without Predictions. 2850-2859 - Di Jin, Cuiying Huo, Jiayi Shi, Dongxiao He, Jianguo Wei, Philip S. Yu:
LLGformer: Learnable Long-range Graph Transformer for Traffic Flow Prediction. 2860-2871 - Han Zhang, Zixiang Meng, Meng Luo, Hong Han, Lizi Liao, Erik Cambria, Hao Fei:
Towards Multimodal Empathetic Response Generation: A Rich Text-Speech-Vision Avatar-based Benchmark. 2872-2881 - Weiming Liu, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Xiaolin Zheng, Zhihui Fu, Ruiguang Pei, Jun Wang:
Joint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation. 2882-2893 - Mingrui Liu, Sixiao Zhang, Cheng Long:
Mask-based Membership Inference Attacks for Retrieval-Augmented Generation. 2894-2907 - Xunkai Li, Daohan Su, Zhengyu Wu, Guang Zeng, Hongchao Qin, Rong-Hua Li, Guoren Wang:
Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach. 2908-2923 - Zheng Wang, Wanwan Wang, Yimin Huang, Zhaopeng Peng, Ziqi Yang, Ming Yao, Cheng Wang, Xiaoliang Fan:
P4GCN: Vertical Federated Social Recommendation with Privacy-Preserving Two-Party Graph Convolution Network. 2924-2934 - Xiao Tan, Yangyang Shen, Yan Zhang, Jingwen Shao, Dian Shen, Meng Wang, Beilun Wang:
NoTeNet: Normalized Mutual Information-Driven Tuning-free Dynamic Dependence Network Inference Method for Multimodal Data. 2935-2947
Poster Session 4
- Sharon Hirsch, Lilach Zitnitski, Slava Novgorodov, Ido Guy, Bracha Shapira:
Graph Meets LLM for Review Personalization based on User Votes. 2948-2958 - Yixuan Yao, Ming Yang, Zixia Liu, Kai Dong, Xiaodan Gu, Chunmian Wang:
Do Not Trust What They Tell: Exposing Malicious Accomplices in Tor via Anomalous Circuit Detection. 2959-2968 - Jane Kim, Jung-Hun Kang, Hyunwoo Lee, Seung-Hyun Seo:
ExpressPQDelivery: Toward Efficient and Immediately Deployable Post-Quantum Key Delivery for Web-of-Things. 2969-2980 - Zhongpu Chen, Yinfeng Liu, Long Shi, Zhi-Jie Wang, Xingyan Chen, Yu Zhao, Fuji Ren:
MDEval: Evaluating and Enhancing Markdown Awareness in Large Language Models. 2981-2991 - Yuan Fang, Xiaofeng Feng, Geping Yang, Ruichu Cai, Yiyang Yang, Zhiguo Gong, Zhifeng Hao:
EVA-MVC: Equitable View-weight Allocation for Generic Multi-View Clustering. 2992-3003 - Jianwei Huang, Sridatta Raghavendra Chintapalli, Mengxiao Wang, Guofei Gu:
Beyond Visual Confusion: Understanding How Inconsistencies in ENS Normalization Facilitate Homoglyph Attacks. 3004-3013 - Yulong Wang, Hong Li, Ni Wei:
SAHSD: Enhancing Hate Speech Detection in LLM-Powered Web Applications via Sentiment Analysis and Few-Shot Learning. 3014-3025 - Hadi Hosseini, Debmalya Mandal, Amrit Puhan:
Surprisingly Popular Voting with Concentric Rank-Order Models. 3026-3036 - Sirui Chen, Shen Han, Jiawei Chen, Binbin Hu, Sheng Zhou, Gang Wang, Yan Feng, Chun Chen, Can Wang:
Rankformer: A Graph Transformer for Recommendation based on Ranking Objective. 3037-3048 - Ahmed Sayeed Faruk, Elena Zheleva:
Leveraging Heterogeneous Spillover in Maximizing Contextual Bandit Rewards. 3049-3060 - Weiqi Wang, Zhiyi Tian, An Liu, Shui Yu:
TAPE: Tailored Posterior Difference for Auditing of Machine Unlearning. 3061-3072 - Haifang Cao, Yu Wang, Jialu Li, Pengfei Zhu, Qinghua Hu:
Hyperbolic-Euclidean Deep Mutual Learning. 3073-3083 - Tomoyoshi Kimura, Xinlin Li, Osama A. Hanna, Yatong Chen, Yizhuo Chen, Denizhan Kara, Tianshi Wang, Jinyang Li, Xiaomin Ouyang, Shengzhong Liu, Mani Srivastava, Suhas N. Diggavi, Tarek F. Abdelzaher:
InfoMAE: Pair-Efficient Cross-Modal Alignment for Multimodal Time-Series Sensing Signals. 3084-3095 - Sushant Vijayan, Zhe Feng, Swati Padmanabhan, Karthikeyan Shanmugam, Arun Suggala, Di Wang:
Online Bidding under RoS Constraints without Knowing the Value. 3096-3107 - Yankai Chen, Taotao Wang, Yixiang Fang, Yunyu Xiao:
Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization. 3108-3118 - Yeongho Kim, Yuyeong Kim, Geon Lee, Kijung Shin:
Beyond Neighbors: Distance-Generalized Graphlets for Enhanced Graph Characterization. 3119-3135 - Jiyu Yang, Qiang He, Zheyu Zhou, Xiaohai Dai, Feifei Chen, Cong Tian, Yun Yang:
EdgeThemis: Ensuring Model Integrity for Edge Intelligence. 3136-3146 - Peishuai Sun, Xiaochun Yun, Shuhao Li, Tao Yin, Chengxiang Si, Jiang Xie:
AdvTG: An Adversarial Traffic Generation Framework to Deceive DL-Based Malicious Traffic Detection Models. 3147-3159 - Zhixun Li, Dingshuo Chen, Tong Zhao, Daixin Wang, Hongrui Liu, Zhiqiang Zhang, Jun Zhou, Jeffrey Xu Yu:
IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification. 3160-3170 - Rui Zhao:
Beast in the Cage: A Fine-grained and Object-oriented Permission System to Confine JavaScript Operations on the Web. 3171-3182 - Qingtian Bian, Marcus Vinícius de Carvalho, Tieying Li, Jiaxing Xu, Hui Fang, Yiping Ke:
ABXI: Invariant Interest Adaptation for Task-Guided Cross-Domain Sequential Recommendation. 3183-3192 - Guangyi Zhang, Ilie Sarpe, Aristides Gionis:
Efficient and Practical Approximation Algorithms for Advertising in Content Feeds. 3193-3203 - Yara Kyrychenko, Ke Zhou, Edyta Paulina Bogucka, Daniele Quercia:
C3AI: Crafting and Evaluating Constitutions for Constitutional AI. 3204-3218 - Tingting Wang, Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Volkan Dedeoglu, Reza Arablouei:
Distinctiveness Maximization in Datasets Assemblage. 3219-3232 - Aparna Ananthasubramaniam, Yufei 'Louise' Zhu, David Jurgens, Daniel M. Romero:
Roles of Network and Identity in Hashtag Diffusion. 3233-3246 - Ruichu Cai, Zhifan Jiang, Kaitao Zheng, Zijian Li, Weilin Chen, Xuexin Chen, Yifan Shen, Guangyi Chen, Zhifeng Hao, Kun Zhang:
Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals. 3247-3266 - Yuwen Liu, Lianyong Qi, Xingyuan Mao, Weiming Liu, Fan Wang, Xiaolong Xu, Xuyun Zhang, Wanchun Dou, Xiaokang Zhou, Amin Beheshti:
Hyperbolic Variational Graph Auto-Encoder for Next POI Recommendation. 3267-3275
Poster Session 5
- Guoming Li, Jian Yang, Shangsong Liang, Dongsheng Luo:
Polynomial Selection in Spectral Graph Neural Networks: An Error-Sum of Function Slices Approach. 3276-3287 - Jiecheng Li, Xudong Luo, Guangquan Lu, Shichao Zhang:
Hyper-Relational Knowledge Representation Learning with Multi-Hypergraph Disentanglement. 3288-3299 - Fanshuang Kong, Richong Zhang, Xiaohui Guo, Junfan Chen, Ziqiao Wang:
Preserving Label Correlation for Multi-label Text Classification by Prototypical Regularizations. 3300-3310 - Xiao Wu, Junzhou He, Liyan Huang, Cai Fu, Weihang Wang:
WBSan: WebAssembly Bug Detection for Sanitization and Binary-Only Fuzzing. 3311-3322 - Yaochen Zhu, Chao Wan, Harald Steck, Dawen Liang, Yesu Feng, Nathan Kallus, Jundong Li:
Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems. 3323-3334 - Vasilis Gkatzelis, Randolph Preston McAfee, Renato Paes Leme:
Procurement Auctions with Best and Final Offers. 3335-3343 - Chloé Khadija Jradeh, Ensiyeh Raoufi, Jérôme David, Pierre Larmande, François Scharffe, Konstantin Todorov, Cássia Trojahn:
Graph Embeddings Meet Link Keys Discovery for Entity Matching. 3344-3353 - Brian Wilk, Homaira Huda Shomee, Suman Kalyan Maity, Sourav Medya:
Fact-based Counter Narrative Generation to Combat Hate Speech. 3354-3365 - Zitong Li, Qingqing Ye, Haibo Hu:
FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning. 3366-3376 - Hepeng Gao, Yijun Su, Funing Yang, Yongjian Yang:
Fine-Grained Data Inference via Incomplete Multi-Granularity Data. 3377-3388 - Hongyu Wang, Ying Li, Ronghong Huang, Xianghang Mi:
Detecting and Understanding the Promotion of Illicit Goods and Services on Twitter. 3389-3404 - Lili Quan, Xiaofei Xie, Qianyu Guo, Lingxiao Jiang, Sen Chen, Junjie Wang, Xiaohong Li:
TensorJSFuzz: Effective Testing of Web-Based Deep Learning Frameworks via Input-Constraint Extraction. 3405-3414 - Chengkun He, Xiangmin Zhou, Yurong Cheng, Jie Shao, Guoren Wang, Iqbal Gondal, Zahir Tari:
Motivation-Aware Session Planning over Heterogeneous Social Platforms. 3415-3425 - Zhongjun Ding, Ke Li, Lisi Chen, Shuo Shang:
Parallel Online Similarity Join over Trajectory Streams. 3426-3437 - Ahtamjan Ahmat, Lei Wang, Yating Yang, Bo Ma, Rui Dong, Kaiwen Lu, Rong Ma, Xinyue Wang:
M2-VLP: Enhancing Multilingual Vision-Language Pre-Training via Multi-Grained Alignment. 3438-3450 - Taylor Lundy, Narun K. Raman, Scott Duke Kominers, Kevin Leyton-Brown:
NFTs as a Data-Rich Test Bed: Conspicuous Consumption and its Determinants. 3451-3465 - Qian Wang, Xuanzhi Xia, Zongjun Yang, Xiaotie Deng, Yuqing Kong, Zhilin Zhang, Liang Wang, Chuan Yu, Jian Xu, Bo Zheng:
Learning against Non-credible Second-Price Auctions. 3466-3480 - Xuhui Sui, Ying Zhang, Yu Zhao, Baohang Zhou, Xiaojie Yuan:
Multimodal Knowledge Graph Error Detection with Disentanglement VAE and Multi-Grained Triplet Confidence. 3481-3491 - Jianqi Gao, Hao Wu, Yiu-ming Cheung, Jian Cao, Hang Yu, Yonggang Zhang:
Mitigating Forgetting in Adapting Pre-trained Language Models to Text Processing Tasks via Consistency Alignment. 3492-3504 - Xingyu Tan, Xiaoyang Wang, Qing Liu, Xiwei Xu, Xin Yuan, Wenjie Zhang:
Paths-over-Graph: Knowledge Graph Empowered Large Language Model Reasoning. 3505-3522 - Augustin Chaintreau, Roland Maio, Juba Ziani:
The Cost of Balanced Training-Data Production in an Online Data Market. 3523-3542 - Huidong Ma, Hui Sun, Liping Yi, Yanfeng Ding, Xiaoguang Liu, Gang Wang:
MSDZip: Universal Lossless Compression for Multi-source Data via Stepwise-parallel and Learning-based Prediction. 3543-3551 - Dian Lei, Zijun Song, Yanli Yuan, Chunhai Li, Liehuang Zhu:
Achieving Personalized Privacy-Preserving Graph Neural Network via Topology Awareness. 3552-3560 - Yuchao Zhang, Xiangjie Kong, Kailun Ye, Guojiang Shen, Shangfei Zheng:
Tackling Sparse Facts for Temporal Knowledge Graph Completion. 3561-3570 - Zhikang Fan, Lan Hu, Ruirui Wang, Zhongrui Ma, Yue Wang, Qi Ye, Weiran Shen:
Two-stage Auction Design in Online Advertising. 3571-3585 - Zhengpin Li, Minhua Lin, Jian Wang, Suhang Wang:
Fairness-aware Prompt Tuning for Graph Neural Networks. 3586-3597 - Kangyue Gao, Chuangyu Ouyang, Xinkui Zhao, Miao Ye, Chen Zhi, Guanjie Cheng, Yueshen Xu, Shuiguang Deng, Jianwei Yin:
HeatSnap: A Hot Page-Aware Continuous Snapshots System for Virtual Machines in Web Infrastructure. 3598-3606 - Xin Zhang, Fei Cai, Jianming Zheng, Zhiqiang Pan, Wanyu Chen, Honghui Chen, Chonghao Chen:
Triangle Matters! TopDyG: Topology-aware Transformer for Link Prediction on Dynamic Graphs. 3607-3617 - Wei Jiang, Tong Chen, Xinyi Gao, Wentao Zhang, Lizhen Cui, Hongzhi Yin:
Epidemiology-informed Network for Robust Rumor Detection. 3618-3627 - Yizhong Liu, Zedan Zhao, Boyu Zhao, Feiang Ran, Xun Lin, Dawei Li, Zhenyu Guan:
Fully Anonymous Decentralized Identity Supporting Threshold Traceability with Practical Blockchain. 3628-3638 - Jiahao Liu, Yiyang Shao, Peng Zhang, Dongsheng Li, Hansu Gu, Chao Chen, Longzhi Du, Tun Lu, Ning Gu:
Filtering Discomforting Recommendations with Large Language Models. 3639-3650
Poster Session 6
- Yixiao Teng, Jiamei Lv, Ziping Wang, Yi Gao, Wei Dong:
TimeChain: A Secure and Decentralized Off-chain Storage System for IoT Time Series Data. 3651-3659 - Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Zhenya Huang, Zheng Zhang, Rui Lv:
BoxCD: Leveraging Contrastive Probabilistic Box Embedding for Effective and Efficient Learner Modeling. 3660-3671 - Shengzhe Zhang, Liyi Chen, Dazhong Shen, Chao Wang, Hui Xiong:
Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation. 3672-3682 - Ziqi Ding, Gelei Deng, Yi Liu, Junchen Ding, Jieshan Chen, Yulei Sui, Yuekang Li:
IllusionCAPTCHA: A CAPTCHA based on Visual Illusion. 3683-3691 - Ruiyang Ren, Yuhao Wang, Kun Zhou, Wayne Xin Zhao, Wenjie Wang, Jing Liu, Ji-Rong Wen, Tat-Seng Chua:
Self-Calibrated Listwise Reranking with Large Language Models. 3692-3701 - Jennifer Brennan, Yahu Cong, Yiwei Yu, Lina Lin, Yajun Peng, Changping Meng, Ningren Han, Jean Pouget-Abadie, David M. Holtz:
Reducing Symbiosis Bias through Better A/B Tests of Recommendation Algorithms. 3702-3715 - Aparna Balagopalan, Kai Wang, Olawale Salaudeen, Asia Biega, Marzyeh Ghassemi:
What's in a Query: Polarity-Aware Distribution-Based Fair Ranking. 3716-3730 - Govind Mittal, Sarthak Gupta, Shruti Wagle, Chirag Chopra, Anthony J. DeMattee, Nasir D. Memon, Mustaque Ahamad, Chinmay Hegde:
WavePulse: Real-time Content Analytics of Radio Livestreams. 3731-3750 - Soham De, Michiel A. Bakker, Jay Baxter, Martin Saveski:
Supernotes: Driving Consensus in Crowd-Sourced Fact-Checking. 3751-3761 - Nihal Kumarswamy, Mohit Singhal, Shirin Nilizadeh:
Causal Insights into Parler's Content Moderation Shift: Effects on Toxicity and Factuality. 3762-3771 - Long Zeng, Jianxiang Yu, Jiapeng Zhu, Qingsong Zhong, Xiang Li:
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection. 3772-3782 - Wenhan Wu, Jiawei Jiang, Chuang Hu:
Aegis: Post-Training Attribute Unlearning in Federated Recommender Systems against Attribute Inference Attacks. 3783-3793 - Shih-Hsuan Chiu, Ya-Wen Teng, De-Nian Yang, Ming-Syan Chen:
Human-Centric Community Detection in Hybrid Metaverse Networks with Integrated AI Entities. 3794-3808 - Andreas Peintner, Amir Reza Mohammadi, Michael Müller, Eva Zangerle:
Hypergraph-based Temporal Modelling of Repeated Intent for Sequential Recommendation. 3809-3818 - Peiyao Zhao, Xin Li, Zeyu Zhang, Mingzhong Wang, Xueying Zhu, Lejian Liao:
Robust Deep Signed Graph Clustering via Weak Balance Theory. 3819-3830 - Chuan Yan, Bowei Guan, Yazhi Li, Mark Huasong Meng, Liuhuo Wan, Guangdong Bai:
Understanding and Detecting File Knowledge Leakage in GPT App Ecosystem. 3831-3839 - Yang Cao, Changhao Zhang, Xiaoshuang Chen, Kaiqiao Zhan, Ben Wang:
xMTF: A Formula-Free Model for Reinforcement-Learning-Based Multi-Task Fusion in Recommender Systems. 3840-3849 - Chumeng Jiang, Jiayin Wang, Weizhi Ma, Charles L. A. Clarke, Shuai Wang, Chuhan Wu, Min Zhang:
Beyond Utility: Evaluating LLM as Recommender. 3850-3862 - Linan Yue, Qi Liu, Yawen Li, Fangzhou Yao, Weibo Gao, Junping Du:
Empowering Federated Graph Rationale Learning with Latent Environments. 3863-3873 - Rong-Hua Li, Xiaowei Ye, Fusheng Jin, Yu-Ping Wang, Ye Yuan, Guoren Wang:
Counting Cohesive Subgraphs with Hereditary Properties. 3874-3884 - Alex Ayoub, Samuel Robertson, Dawen Liang, Harald Steck, Nathan Kallus:
Does Weighting Improve Matrix Factorization for Recommender Systems? 3885-3895 - Meenatchi Sundaram Muthu Selva Annamalai, Emiliano De Cristofaro, Igor Bilogrevic:
Beyond the Crawl: Unmasking Browser Fingerprinting in Real User Interactions. 3896-3907 - Xinglin Lian, Chengtai Cao, Yan Liu, Xovee Xu, Yu Zheng, Fan Zhou:
Facing Anomalies Head-On: Network Traffic Anomaly Detection via Uncertainty-Inspired Inter-Sample Differences. 3908-3917 - Yingxuan Li, Yuanyuan Xu, Xuemin Lin, Wenjie Zhang, Ying Zhang:
Ranking on Dynamic Graphs: An Effective and Robust Band-Pass Disentangled Approach. 3918-3929 - Yantuan Xian, Pu Li, Hao Peng, Zhengtao Yu, Yan Xiang, Philip S. Yu:
Community Detection in Large-Scale Complex Networks via Structural Entropy Game. 3930-3941 - Zheng Liu, Chaofan Li, Shitao Xiao, Chaozhuo Li, Chen Jason Zhang, Hao Liao, Defu Lian, Yingxia Shao:
Fitting Into Any Shape: A Flexible LLM-Based Re-Ranker With Configurable Depth and Width. 3942-3951 - Yongkang Guo, Yuqing Kong:
Robust Aggregation with Adversarial Experts. 3952-3967
Poster Session 7
- Bhupendra Acharya, Dario Lazzaro, Antonio Emanuele Cinà, Thorsten Holz:
Pirates of Charity: Exploring Donation-based Abuses in Social Media Platforms. 3968-3981 - Saurabh Sharma, Ambuj K. Singh:
Dynamic Gradient Influencing for Viral Marketing Using Graph Neural Networks. 3982-3993 - Jiaqing Zhang, Mingjia Yin, Hao Wang, Yawen Li, Yuyang Ye, Xingyu Lou, Junping Du, Enhong Chen:
TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation. 3994-4003 - Junxiao Ma, Jingjing Wang, Jiamin Luo, Peiying Yu, Guodong Zhou:
Sherlock: Towards Multi-scene Video Abnormal Event Extraction and Localization via a Global-local Spatial-sensitive LLM. 4004-4013 - Sungjun Jung, Yongsang Park, Haeun Lee, Young H. Oh, Jae W. Lee:
Angular Distance-Guided Neighbor Selection for Graph-Based Approximate Nearest Neighbor Search. 4014-4023 - Sungwon Park, Sungwon Han, Xing Xie, Jae-Gil Lee, Meeyoung Cha:
Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection. 4024-4033 - Roberto Barile, Claudia d'Amato, Nicola Fanizzi:
LP-DIXIT: Evaluating Explanations for Link Predictions on Knowledge Graphs using Large Language Models. 4034-4042 - Qihe Huang, Zhengyang Zhou, Kuo Yang, Yang Wang:
Exploiting Language Power for Time Series Forecasting with Exogenous Variables. 4043-4052 - Asiri Wijesinghe, Hao Zhu, Piotr Koniusz:
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings. 4053-4067 - Ruizhe Shi, Ruizhi Cheng, Yuqi Fu, Bo Han, Yue Cheng, Songqing Chen:
Centralization in the Decentralized Web: Challenges and Opportunities in IPFS Data Management. 4068-4076 - Fangchen Yu, Yicheng Zeng, Jianfeng Mao, Wenye Li:
A Theory-Driven Approach to Inner Product Matrix Estimation for Incomplete Data: An Eigenvalue Perspective. 4077-4088 - Peng Zhao, You Zhou, Di Wang, Zhiguang Cao, Yubin Xiao, Xuan Wu, Yuanshu Li, Hongjia Liu, Wei Du, Yuan Jiang, Liupu Wang:
Dual Operation Aggregation Graph Neural Networks for Solving Flexible Job-Shop Scheduling Problem with Reinforcement Learning. 4089-4100 - Zhiqiang Pan, Chen Gao, Fei Cai, Wanyu Chen, Xin Zhang, Honghui Chen, Yong Li:
On the Cross-Graph Transferability of Dynamic Link Prediction. 4101-4110 - Hui Wang, Xin Wang, Jiake Ge, Lei Liang, Peng Yi:
ShapeShifter: Workload-Aware Adaptive Evolving Index Structures Based on Learned Models. 4111-4123 - Siddhant Kharbanda, Devaansh Gupta, Gururaj K, Pankaj Malhotra, Amit Singh, Cho-Jui Hsieh, Rohit Babbar:
UniDEC : Unified Dual Encoder and Classifier Training for Extreme Multi-Label Classification. 4124-4133 - Bao Wen, Jingjing Gu, Hao Han, Pengfei Yu, Yang Liu:
Instruction Vulnerability Prediction for WebAssembly with Semantic Enhanced Code Property Graph. 4134-4145 - Xinyao Xu, Ziyu Mao, Jianzhong Su, Xingwei Lin, David Basin, Jun Sun, Jingyi Wang:
Quantitative Runtime Monitoring of Ethereum Transaction Attacks. 4146-4159 - Wei Li, Jiawen Deng, Jiali You, Yuanyuan He, Yan Zhuang, Fuji Ren:
ETS-MM: A Multi-Modal Social Bot Detection Model Based on Enhanced Textual Semantic Representation. 4160-4170 - Yahong Lian, Chunyao Song, Tingjian Ge:
ITMPRec: Intention-based Targeted Multi-round Proactive Recommendation. 4171-4182 - Zihan Wang, Ziqi Zhao, Yougang Lyu, Zhumin Chen, Maarten de Rijke, Zhaochun Ren:
A Cooperative Multi-Agent Framework for Zero-Shot Named Entity Recognition. 4183-4195 - Cheng Zhou, Guangxia Li, Hao Weng, Yiyu Xiang:
Training-free Graph Anomaly Detection: A Simple Approach via Singular Value Decomposition. 4196-4205 - Guanting Dong, Yutao Zhu, Chenghao Zhang, Zechen Wang, Ji-Rong Wen, Zhicheng Dou:
Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation. 4206-4225 - Zhuohua Li, Maoli Liu, Xiangxiang Dai, John C. S. Lui:
Towards Efficient Conversational Recommendations: Expected Value of Information Meets Bandit Learning. 4226-4238 - Hongyuan Xu, Yuhang Niu, Yanlong Wen, Xiaojie Yuan:
Compress and Mix: Advancing Efficient Taxonomy Completion with Large Language Models. 4239-4249 - Yudong Niu, Yuchen Li, Jiaxin Jiang, Laks V. S. Lakshmanan:
SANS: Efficient Densest Subgraph Discovery over Relational Graphs without Materialization. 4250-4263 - Zhiyang Chen, Yun Ma, Haiyang Shen, Mugeng Liu:
WeInfer: Unleashing the Power of WebGPU on LLM Inference in Web Browsers. 4264-4273 - Qi Liu, Bo Wang, Nan Wang, Jiaxin Mao:
Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models. 4274-4283 - Sajad Meisami, Hugo Dabadie, Song Li, Yuzhe Tang, Yue Duan:
SigScope: Detecting and Understanding Off-Chain Message Signing-related Vulnerabilities in Decentralized Applications. 4284-4299
Poster Session 8
- Xinwei Zhang, Haibo Hu, Qingqing Ye, Li Bai, Huadi Zheng:
MER-Inspector: Assessing Model Extraction Risks from An Attack-Agnostic Perspective. 4300-4315 - Xiaolong Xu, Yuxin Cao, Hongsheng Hu, Haolong Xiang, Lianyong Qi, Junqun Xiong, Wanchun Dou:
MGF-ESE: An Enhanced Semantic Extractor with Multi-Granularity Feature Fusion for Code Summarization. 4316-4324 - Maxime Huyghe, Walter Rudametkin, Clément Quinton:
FP-Rainbow: Fingerprint-Based Browser Configuration Identification. 4325-4335 - Hoang Dai Nguyen, Phani Vadrevu:
Breaking the Shield: Analyzing and Attacking Canvas Fingerprinting Defenses in the Wild. 4336-4345 - Qin Chen, Liang Wang, Bo Zheng, Guojie Song:
DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach. 4346-4358 - Xinyi Gao, Guanhua Ye, Tong Chen, Wentao Zhang, Junliang Yu, Hongzhi Yin:
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition. 4359-4373 - Hongxu Chen, Guanglei Song, Zhiliang Wang, Jiahai Yang, Songyun Wu, Jinlei Lin, Lin He, Chenglong Li:
IPdb: A High-Precision IP Level Industry Categorization of Web Services. 4374-4385 - Qian Dong, Qingyao Ai, Hongning Wang, Yiding Liu, Haitao Li, Weihang Su, Yiqun Liu, Tat-Seng Chua, Shaoping Ma:
Decoupling Knowledge and Context: An Efficient and Effective Retrieval Augmented Generation Framework via Cross Attention. 4386-4395 - Eduardo C. Paim, Roberto Irajá Tavares Costa Filho, Valter Roesler, Theophilus A. Benson, Alberto Schaeffer-Filho:
Hidden Impact of Hardware Technologies on Throughput: a Case Study on a Brazilian Mobile Web Network. 4396-4407 - Quanyu Dai, Jiaren Xiao, Zhaocheng Du, Jieming Zhu, Chengxiao Luo, Xiao-Ming Wu, Zhenhua Dong:
MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising. 4408-4419 - Zhen Zhang, Bingsheng He:
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation. 4420-4431 - Hengzhi Wang, Haoran Chen, Minghe Ma, Laizhong Cui:
Dealing with Noisy Data in Federated Learning: An Incentive Mechanism with Flexible Pricing. 4432-4441 - Xuejiao Zhao, Siyan Liu, Su-Yin Yang, Chunyan Miao:
MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot. 4442-4457 - Ameet Gadekar, Aristides Gionis, Suhas Thejaswi:
Fair Clustering for Data Summarization: Improved Approximation Algorithms and Complexity Insights. 4458-4469 - Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
Personalized Denoising Implicit Feedback for Robust Recommender System. 4470-4481 - Jin-Duk Park, Jaemin Yoo, Won-Yong Shin:
Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria Recommendation. 4482-4493 - Zhenbang Xiao, Yu Wang, Shunyu Liu, Bingde Hu, Huiqiong Wang, Mingli Song, Tongya Zheng:
Disentangled Condensation for Large-scale Graphs. 4494-4506 - Haotian Wang, Hao Zou, Xueguang Zhou, Shangwen Wang, Wenjing Yang, Peng Cui:
Learning Feasible Causal Algorithmic Recourse: A Prior Structural Knowledge Free Approach. 4507-4518 - Zhiying Wu, Jiajing Wu, Hui Zhang, Zibin Zheng, Weiqiang Wang:
Hunting in the Dark Forest: A Pre-trained Model for On-chain Attack Transaction Detection in Web3. 4519-4530 - Yudai Pan, Jiajie Hong, Tianzhe Zhao, Lingyun Song, Jun Liu, Xuequn Shang:
Logic-Aware Knowledge Graph Reasoning for Structural Sparsity under Large Language Model Supervision. 4531-4542 - Lukas Eberhard, Thorsten Ruprechter, Denis Helic:
Large Language Models as Narrative-Driven Recommenders. 4543-4561 - Liyan Huang, Junzhou He, Chao Wang, Weihang Wang:
WaSCR: A WebAssembly Instruction-Timing Side Channel Repairer. 4562-4571 - Qishen Han, Grant Schoenebeck, Biaoshuai Tao, Lirong Xia:
Strong Equilibria in Bayesian Games with Bounded Group Size. 4572-4581 - Jia Wang, Yawen Li, Zhe Xue, Yingxia Shao, Zeli Guan, Wenling Li:
Horizontal Federated Heterogeneous Graph Learning: A Multi-Scale Adaptive Solution to Data Distribution Challenges. 4582-4591 - Ophir Friedler, Hu Fu, Anna Karlin, Ariana Tang:
Price Stability and Improved Buyer Utility with Presentation Design: A Theoretical Study of the Amazon Buy Box. 4592-4611 - Hefei Xu, Min Hou, Le Wu, Fei Liu, Yonghui Yang, Haoyue Bai, Richang Hong, Meng Wang:
Fair Personalized Learner Modeling Without Sensitive Attributes. 4612-4624 - Longfeng Wu, Yao Zhou, Jian Kang, Dawei Zhou:
Bridging Fairness and Uncertainty: Theoretical Insights and Practical Strategies for Equalized Coverage in GNNs. 4625-4634 - Shanshan Ye, Jie Lu, Guangquan Zhang:
Towards Safe Machine Unlearning: A Paradigm that Mitigates Performance Degradation. 4635-4652 - Lixi Zhu, Xiaowen Huang, Jitao Sang:
A LLM-based Controllable, Scalable, Human-Involved User Simulator Framework for Conversational Recommender Systems. 4653-4661 - Dolière Francis Somé:
MatriXSSed: A New Taxonomy for XSS in the Modern Web. 4662-4672 - Jinghao Wang, Yanping Wu, Xiaoyang Wang, Chen Chen, Ying Zhang, Lu Qin:
Effective Influence Maximization with Priority. 4673-4683
Poster Session 9
- Rongpei Hong, Jian Lang, Jin Xu, Zhangtao Cheng, Ting Zhong, Fan Zhou:
Following Clues, Approaching the Truth: Explainable Micro-Video Rumor Detection via Chain-of-Thought Reasoning. 4684-4698 - Zihan Wang, Zhongkui Ma, Xinguo Feng, Zhiyang Mei, Ethan Ma, Derui Wang, Minhui Xue, Guangdong Bai:
AI Model Modulation with Logits Redistribution. 4699-4709 - Shuang Cui, Kai Han, Jing Tang:
Linear-Time Algorithms for Representative Subset Selection From Data Streams. 4710-4721 - Zhihua Tian, Yuan Ding, Xiang Yu, Enchao Gong, Jian Liu, Kui Ren:
Towards Collaborative Anti-Money Laundering Among Financial Institutions. 4722-4733 - Xuanrui Lin, Chao Jia, Junhui Ji, Hui Han, Usman Naseem:
Ask, Acquire, Understand: A Multimodal Agent-based Framework for Social Abuse Detection in Memes. 4734-4744 - Wenhao Wu, Zhaohua Wang, Qinxin Li, Zihan Li, Yi Li, Jin Yan, Zhenyu Li:
ODNS Clustering: Unveiling Client-Side Dependency in Open DNS Infrastructure. 4745-4754 - Xixun Lin, Yanan Cao, Nan Sun, Lixin Zou, Chuan Zhou, Peng Zhang, Shuai Zhang, Ge Zhang, Jia Wu:
Conformal Graph-level Out-of-distribution Detection with Adaptive Data Augmentation. 4755-4765 - Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu:
LargePiG for Hallucination-Free Query Generation: Your Large Language Model is Secretly a Pointer Generator. 4766-4779 - Xingrui Zhuo, Jiapu Wang, Gongqing Wu, Shirui Pan, Xindong Wu:
Effective Instruction Parsing Plugin for Complex Logical Query Answering on Knowledge Graphs. 4780-4792 - Ryotaro Shimizu, Takashi Wada, Yu Wang, Johannes Kruse, Sean O'Brien, Sai Htaung Kham, Linxin Song, Yuya Yoshikawa, Yuki Saito, Fugee Tsung, Masayuki Goto, Julian J. McAuley:
Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation. 4793-4809 - Luke Koch, Sean Oesch, Amir Sadovnik, Brian Weber, Amul Chaulagain, Matthew Dixson, Jared Dixon, Mike Huettel, Cory L. Watson, Jacob Hartman, Richard Patulski:
On the Abuse and Detection of Polyglot Files. 4810-4822 - Baohang Zhou, Ying Zhang, Yu Zhao, Xuhui Sui, Xiaojie Yuan:
Multimodal Graph-Based Variational Mixture of Experts Network for Zero-Shot Multimodal Information Extraction. 4823-4831 - Gayatri Priyadarsini Kancherla, Dishank Goel, Abhishek Bichhawat:
Least Privilege Access for Persistent Storage Mechanisms in Web Browsers. 4832-4840 - Miguel A. Bermejo-Agueda, Patricia Callejo, Rubén Cuevas, Ángel Cuevas, Ramakrishnan Durairajan, Reza Rejaie, Álvaro Mayol:
Unveiling Network Performance in the Wild: An Ad-Driven Analysis of Mobile Download Speeds. 4841-4852 - Jiazhen Hu, Jiaying Gong, Hongda Shen, Hoda Eldardiry:
Hypergraph-based Zero-shot Multi-modal Product Attribute Value Extraction. 4853-4862 - Shen Han, Zhiyao Zhou, Jiawei Chen, Zhezheng Hao, Sheng Zhou, Gang Wang, Yan Feng, Chun Chen, Can Wang:
Uncertainty-Aware Graph Structure Learning. 4863-4874 - Julian Zimmert, Róbert Busa-Fekete, András György, Linhai Qiu, Hyomin Choi, Tzu-Wei Sung, Hao Shen, Sharmila Subramaniam, Li Xiao:
A Scalable Crawling Algorithm Utilizing Noisy Change-Indicating Signals. 4875-4888 - Wonbin Kweon, Sanghwan Jang, SeongKu Kang, Hwanjo Yu:
Uncertainty Quantification and Decomposition for LLM-based Recommendation. 4889-4901 - Jiajing Wu, Kaixin Lin, Dan Lin, Bozhao Zhang, Zhiying Wu, Jianzhong Su:
Safeguarding Blockchain Ecosystem: Understanding and Detecting Attack Transactions on Cross-chain Bridges. 4902-4912 - Congning Ni, Qingxia Chen, Lijun Song, Patricia Commiskey, Qingyuan Song, Bradley A. Malin, Zhijun Yin:
Catalysts of Conversation: Examining Interaction Dynamics Between Topic Initiators and Commentors in Alzheimer's Disease Online Communities. 4913-4924 - Zihao Li, Yakun Chen, Tong Zhang, Xianzhi Wang:
Reembedding and Reweighting are Needed for Tail Item Sequential Recommendation. 4925-4936 - Jiayin Luo, Xinkui Zhao, Yuxin Ma, Shengye Pang, Jianwei Yin:
MerKury: Adaptive Resource Allocation to Enhance the Kubernetes Performance for Large-Scale Clusters. 4937-4948 - Emiliano Penaloza, Olivier Gouvert, Haolun Wu, Laurent Charlin:
TEARS: Text Representations for Scrutable Recommendations. 4949-4968 - Jindong Han, Hao Liu, Jun Fang, Naiqiang Tan, Hui Xiong:
Automatic Instruction Data Selection for Large Language Models via Uncertainty-Aware Influence Maximization. 4969-4979 - Zengrui Liu, Jimmy Dani, Yinzhi Cao, Shujiang Wu, Nitesh Saxena:
The First Early Evidence of the Use of Browser Fingerprinting for Online Tracking. 4980-4995 - Shao-En Lin, Brian Liu, Miao-Chen Chiang, Ming-Yi Hong, Yu-Shiang Huang, Chuan-Ju Wang, Che Lin:
BETag: Behavior-enhanced Item Tagging with Finetuned Large Language Models. 4996-5009 - Hong-Kyun Bae, Hae-Ri Jang, Won-Yong Shin, Sang-Wook Kim:
Ranking Items by the Current-Preferences and Profits: A List-wise Learning-to-Rank Approach to Profit Maximization. 5010-5021
Web4Good Track Papers
- Lorenzo Cima, Alessio Miaschi, Amaury Trujillo, Marco Avvenuti, Felice Dell'Orletta, Stefano Cresci:
Contextualized Counterspeech: Strategies for Adaptation, Personalization, and Evaluation. 5022-5033 - Milena de Swart, Floris den Hengst, Jieying Chen:
Detecting Linguistic Bias in Government Documents Using Large language Models. 5034-5044 - Donghui Ding, Zhao Li, Jiarun Zhang, Xuanwu Liu, Ji Zhang, Yuchen Li, Peng Cai, JianXun Liu, Guodong Long:
eBaaS: AIoT-Enabled eBike Battery-Swap as a Service for Last-Mile Delivery. 5045-5053 - Wei Fan, Jingru Fei, Dingyu Guo, Kun Yi, Xiaozhuang Song, Haolong Xiang, Hangting Ye, Min Li:
Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification. 5054-5064 - Kai Fang, Jiangtao Deng, Chengzu Dong, Usman Naseem, Tongcun Liu, Hailin Feng, Wei Wang:
MoCFL: Mobile Cluster Federated Learning Framework for Highly Dynamic Network. 5065-5074 - Chongming Gao, Ruijun Chen, Shuai Yuan, Kexin Huang, Yuanqing Yu, Xiangnan He:
SPRec: Self-Play to Debias LLM-based Recommendation. 5075-5084 - Dominique Geissler, Abdurahman Maarouf, Stefan Feuerriegel:
Analyzing User Characteristics of Hate Speech Spreaders on Social Media. 5085-5095 - Ming Gu, Lei Pei, Sheng Zhou, Ming Shen, Yuxuan Wu, Zirui Gao, Ziwei Wang, Shuo Shan, Wei Jiang, Yong Li, Jiajun Bu:
Towards an Inclusive Mobile Web: A Dataset and Framework for Focusability in UI Accessibility. 5096-5107 - Teng Guo, Yu Qin, Yubin Xia, Mingliang Hou, Zitao Liu, Feng Xia, Weiqi Luo:
Enhancing Knowledge Tracing through Decoupling Cognitive Pattern from Error-Prone Data. 5108-5116 - Muhammad Imran, Abdul Wahab Ziaullah, Kai Chen, Ferda Ofli:
Evaluating Robustness of LLMs on Crisis-Related Microblogs across Events, Information Types, and Linguistic Features. 5117-5126 - Tahsin Alamgir Kheya, Mohamed Reda Bouadjenek, Sunil Aryal:
Unmasking Gender Bias in Recommendation Systems and Enhancing Category-Aware Fairness. 5127-5138 - Yifan Liu, Yaokun Liu, Zelin Li, Ruichen Yao, Yang Zhang, Dong Wang:
Modality Interactive Mixture-of-Experts for Fake News Detection. 5139-5150 - Xin Liu, Haojun Rui, Dawei Cheng, Li Han, Zhongyun Zhou, Guoping Zhao:
Multi-Granularity Augmented Graph Learning for Spoofing Transaction Detection. 5151-5160 - Yishuo Li, Qi Zhang, Wenpeng Lu, Xueping Peng, Weiyu Zhang, Jiasheng Si, Yongshun Gong, Liang Hu:
Time-aware Medication Recommendation via Intervention of Dynamic Treatment Regimes. 5161-5172 - Ting Long, Li'ang Yin, Yi Chang, Wei Xia, Yong Yu:
Simulating Question-answering Correctness with a Conditional Diffusion. 5173-5182 - Wenjun Lyu, Shuxin Zhong, Guang Yang, Haotian Wang, Yi Ding, Shuai Wang, Yunhuai Liu, Tian He, Desheng Zhang:
InCo: Exploring Inter-Trip Cooperation for Efficient Last-mile Delivery. 5183-5191 - Usman Naseem, Liang Hu, Qi Zhang, Shoujin Wang, Shoaib Jameel:
DiGrI: Distorted Greedy Approach for Human-Assisted Online Suicide Ideation Detection. 5192-5201 - Jinghua Piao, Zhihong Lu, Chen Gao, Yong Li:
Social Bots Meet Large Language Model: Political Bias and Social Learning Inspired Mitigation Strategies. 5202-5211 - Xin Shen, Heming Du, Hongwei Sheng, Lincheng Li, Kaihao Zhang:
AuslanWeb: A Scalable Web-Based Australian Sign Language Communication System for Deaf and Hearing Individuals. 5212-5223 - Jinglin Sun, Basem Suleiman, Imdad Ullah, Imran Razzak:
Effectiveness of Privacy-preserving Algorithms in LLMs: A Benchmark and Empirical Analysis. 5224-5233 - Jiehao Tang, Wenjun Wang, Dawei Cheng, Hui Zhao, Changjun Jiang:
Dual Pairwise Pre-training and Prompt-tuning with Aligned Prototypes for Interbank Credit Rating. 5234-5243 - Lin Tian, Emily Booth, Francesco Bailo, Julian Droogan, Marian-Andrei Rizoiu:
Before It's Too Late: A State Space Model for the Early Prediction of Misinformation and Disinformation Engagement. 5244-5254 - Han Wang, Rui Yang Tan, Roy Ka-Wei Lee:
Cross-Modal Transfer from Memes to Videos: Addressing Data Scarcity in Hateful Video Detection. 5255-5263 - Wei Wu, Shiqi Li, Ling Chen, Fangfang Li, Chuan Luo:
Sketching Very Large-scale Dynamic Attributed Networks More Practically. 5264-5274 - Sheng Xiang, Yidong Jiang, Yunting Chen, Dawei Cheng, Guoping Zhao, Changjun Jiang:
Generative Dynamic Graph Representation Learning for Conspiracy Spoofing Detection. 5275-5284 - Qingzheng Xu, Heming Du, Szymon Lukasik, Tianqing Zhu, Sen Wang, Xin Yu:
MDAM3: A Misinformation Detection and Analysis Framework for Multitype Multimodal Media. 5285-5296 - Xuankai Yang, Yan Wang, Xiuzhen Zhang, Shoujin Wang, Huaxiong Wang, Kwok-Yan Lam:
A Macro- and Micro-Hierarchical Transfer Learning Framework for Cross-Domain Fake News Detection. 5297-5307 - Jie Yang, Rui Zhang, Ziyang Cheng, Dawei Cheng, Guang Yang, Bo Wang:
Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection. 5308-5319 - Huayi Yang, Chunyuan Zheng, Guorui Liao, Shanshan Huang, Jun Liao, Zhili Gong, Haoxuan Li, Li Liu:
CAP: Causal Air Quality Index Prediction Under Interference with Unmeasured Confounding. 5320-5329 - Ziheng Zhang, Zhenxi Lin, Yefeng Zheng, Xian Wu:
How much Medical Knowledge do LLMs have? An Evaluation of Medical Knowledge Coverage for LLMs. 5330-5341 - Yunke Zhang, Ruolong Ma, Xin Zhang, Yong Li:
Perceiving Urban Inequality from Imagery Using Visual Language Models with Chain-of-Thought Reasoning. 5342-5351 - Yuheng Zhang, Yuan Yuan, Jingtao Ding, Jian Yuan, Yong Li:
Noise Matters: Diffusion Model-based Urban Mobility Generation with Collaborative Noise Priors. 5352-5363 - Xiaofan Zheng, Zinan Zeng, Heng Wang, Yuyang Bai, Yuhan Liu, Minnan Luo:
From Predictions to Analyses: Rationale-Augmented Fake News Detection with Large Vision-Language Models. 5364-5375
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