WWW A*

446 papers

YearTitle / Authors
20252D-TPE: Two-Dimensional Positional Encoding Enhances Table Understanding for Large Language Models.
Jia-Nan Li, Jian Guan, Wei Wu, Zhengtao Yu, Rui Yan
202550 Shades of Deceptive Patterns: A Unified Taxonomy, Multimodal Detection, and Security Implications.
Zewei Shi, Ruoxi Sun, Jieshan Chen, Jiamou Sun, Minhui Xue, Yansong Gao, Feng Liu, Xingliang Yuan
20257 Days Later: Analyzing Phishing-Site Lifespan After Detected.
Kiho Lee, Kyungchan Lim, Hyoungshick Kim, Yonghwi Kwon, Doowon Kim
2025A Context-Aware Framework for Integrating Ad Auctions and Recommendations.
Yuchao Ma, Weian Li, Yuejia Dou, Zhiyuan Su, Changyuan Yu, Qi Qi
2025A Cooperative Multi-Agent Framework for Zero-Shot Named Entity Recognition.
Zihan Wang, Ziqi Zhao, Yougang Lyu, Zhumin Chen, Maarten de Rijke, Zhaochun Ren
2025A LLM-based Controllable, Scalable, Human-Involved User Simulator Framework for Conversational Recommender Systems.
Lixi Zhu, Xiaowen Huang, Jitao Sang
2025A Macro- and Micro-Hierarchical Transfer Learning Framework for Cross-Domain Fake News Detection.
Xuankai Yang, Yan Wang, Xiuzhen Zhang, Shoujin Wang, Huaxiong Wang, Kwok-Yan Lam
2025A Plug-in Critiquing Approach for Knowledge Graph Recommendation Systems via Representative Sampling.
Huanyu Zhang, Xiaoxuan Shen, Baolin Yi, Jianfang Liu, Yinao Xie
2025A Scalable Crawling Algorithm Utilizing Noisy Change-Indicating Signals.
Julian Zimmert, Róbert Busa-Fekete, András György, Linhai Qiu, Hyomin Choi, Tzu-Wei Sung, Hao Shen, Sharmila Subramaniam, Li Xiao
2025A Theory-Driven Approach to Inner Product Matrix Estimation for Incomplete Data: An Eigenvalue Perspective.
Fangchen Yu, Yicheng Zeng, Jianfeng Mao, Wenye Li
2025ABO: Abandon Bayer Filter for Adaptive Edge Offloading in Responsive Augmented Reality.
Yongxuan Han, Shengzhong Liu, Fan Wu, Guihai Chen
2025ABXI: Invariant Interest Adaptation for Task-Guided Cross-Domain Sequential Recommendation.
Qingtian Bian, Marcus Vinícius de Carvalho, Tieying Li, Jiaxing Xu, Hui Fang, Yiping Ke
2025ACME++: A Secure Authorization Mechanism for ACME Clients in the Web PKI Ecosystem.
Tianyu Zhang, Han Zhang, Yunze Wei, Yahui Li, Xingang Shi, Jilong Wang, Xia Yin
2025AERO: Enhancing Sharding Blockchain via Deep Reinforcement Learning for Account Migration.
Mingxuan Song, Pengze Li, Bohan Zhou, Shenglin Yin, Zhen Xiao, Jieyi Long
2025AI Model Modulation with Logits Redistribution.
Zihan Wang, Zhongkui Ma, Xinguo Feng, Zhiyang Mei, Ethan Ma, Derui Wang, Minhui Xue, Guangdong Bai
2025AI for Science: The Next Big Opportunity.
Jon Whittle
2025AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems.
Zhenghai Xue, Qingpeng Cai, Bin Yang, Lantao Hu, Peng Jiang, Kun Gai, Bo An
2025Achieving Personalized Privacy-Preserving Graph Neural Network via Topology Awareness.
Dian Lei, Zijun Song, Yanli Yuan, Chunhai Li, Liehuang Zhu
2025Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categories.
Tianlong Wang, Xianfeng Jiao, Yinghao Zhu, Zhongzhi Chen, Yifan He, Xu Chu, Junyi Gao, Yasha Wang, Liantao Ma
2025AdvTG: An Adversarial Traffic Generation Framework to Deceive DL-Based Malicious Traffic Detection Models.
Peishuai Sun, Xiaochun Yun, Shuhao Li, Tao Yin, Chengxiang Si, Jiang Xie
2025Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection.
Sungwon Park, Sungwon Han, Xing Xie, Jae-Gil Lee, Meeyoung Cha
2025Aegis: Post-Training Attribute Unlearning in Federated Recommender Systems against Attribute Inference Attacks.
Wenhan Wu, Jiawei Jiang, Chuang Hu
2025Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation.
Zhen Zhang, Bingsheng He
2025Analyzing User Characteristics of Hate Speech Spreaders on Social Media.
Dominique Geissler, Abdurahman Maarouf, Stefan Feuerriegel
2025Angular Distance-Guided Neighbor Selection for Graph-Based Approximate Nearest Neighbor Search.
Sungjun Jung, Yongsang Park, Haeun Lee, Young H. Oh, Jae W. Lee
2025ArtistAuditor: Auditing Artist Style Pirate in Text-to-Image Generation Models.
Linkang Du, Zheng Zhu, Min Chen, Zhou Su, Shouling Ji, Peng Cheng, Jiming Chen, Zhikun Zhang
2025Ask, Acquire, Understand: A Multimodal Agent-based Framework for Social Abuse Detection in Memes.
Xuanrui Lin, Chao Jia, Junhui Ji, Hui Han, Usman Naseem
2025Assessing Compliance in Digital Advertising: A Deep Dive into Acceptable Ads Standards.
Ahsan Zafar, Anupam Das
2025Assessing and Post-Processing Black Box Large Language Models for Knowledge Editing.
Xiaoshuai Song, Zhengyang Wang, Keqing He, Guanting Dong, Yutao Mou, Jinxu Zhao, Weiran Xu
2025AuslanWeb: A Scalable Web-Based Australian Sign Language Communication System for Deaf and Hearing Individuals.
Xin Shen, Heming Du, Hongwei Sheng, Lincheng Li, Kaihao Zhang
2025Autobidding With Interdependent Values.
Martino Banchio, Kshipra Bhawalkar, Christopher Liaw, Aranyak Mehta, Andrés Perlroth
2025Automatic Instruction Data Selection for Large Language Models via Uncertainty-Aware Influence Maximization.
Jindong Han, Hao Liu, Jun Fang, Naiqiang Tan, Hui Xiong
2025BAT: Benchmark for Auto-bidding Task.
Alexandra Khirianova, Ekaterina Solodneva, Andrey Pudovikov, Sergey Osokin, Egor Samosvat, Yuriy Dorn, Alexander Ledovsky, Yana Zenkova
2025BATON: Enhancing Batch-wise Inference Efficiency for Large Language Models via Dynamic Re-batching.
Peizhuang Cong, Qizhi Chen, Haochen Zhao, Tong Yang
2025BETag: Behavior-enhanced Item Tagging with Finetuned Large Language Models.
Shao-En Lin, Brian Liu, Miao-Chen Chiang, Ming-Yi Hong, Yu-Shiang Huang, Chuan-Ju Wang, Che Lin
2025Balancing Graph Embedding Smoothness in Self-supervised Learning via Information-Theoretic Decomposition.
Heesoo Jung, Hogun Park
2025Beast in the Cage: A Fine-grained and Object-oriented Permission System to Confine JavaScript Operations on the Web.
Rui Zhao
2025Before & After: The Effect of EU's 2022 Code of Practice on Disinformation.
Emmanouil Papadogiannakis, Panagiotis Papadopoulos, Nicolas Kourtellis, Evangelos P. Markatos
2025Before It's Too Late: A State Space Model for the Early Prediction of Misinformation and Disinformation Engagement.
Lin Tian, Emily Booth, Francesco Bailo, Julian Droogan, Marian-Andrei Rizoiu
2025Behavior Modeling Space Reconstruction for E-Commerce Search.
Yejing Wang, Chi Zhang, Xiangyu Zhao, Qidong Liu, Maolin Wang, Xuetao Wei, Zitao Liu, Xing Shi, Xudong Yang, Ling Zhong, Wei Lin
2025Behavioral Homophily in Social Media via Inverse Reinforcement Learning: A Reddit Case Study.
Lanqin Yuan, Philipp J. Schneider, Marian-Andrei Rizoiu
2025Beyond Binary: Towards Fine-Grained LLM-Generated Text Detection via Role Recognition and Involvement Measurement.
Zihao Cheng, Li Zhou, Feng Jiang, Benyou Wang, Haizhou Li
2025Beyond Dataset Watermarking: Model-Level Copyright Protection for Code Summarization Models.
Jiale Zhang, Haoxuan Li, Di Wu, Xiaobing Sun, Qinghua Lu, Guodong Long
2025Beyond Neighbors: Distance-Generalized Graphlets for Enhanced Graph Characterization.
Yeongho Kim, Yuyeong Kim, Geon Lee, Kijung Shin
2025Beyond Single Tabs: A Transformative Few-Shot Approach to Multi-Tab Website Fingerprinting Attacks.
Wenwen Meng, Chuan Ma, Ming Ding, Chunpeng Ge, Yuwen Qian, Tao Xiang
2025Beyond Utility: Evaluating LLM as Recommender.
Chumeng Jiang, Jiayin Wang, Weizhi Ma, Charles L. A. Clarke, Shuai Wang, Chuhan Wu, Min Zhang
2025Beyond Visual Confusion: Understanding How Inconsistencies in ENS Normalization Facilitate Homoglyph Attacks.
Jianwei Huang, Sridatta Raghavendra Chintapalli, Mengxiao Wang, Guofei Gu
2025Beyond the Crawl: Unmasking Browser Fingerprinting in Real User Interactions.
Meenatchi Sundaram Muthu Selva Annamalai, Emiliano De Cristofaro, Igor Bilogrevic
2025Biting Off More Than You Can Detect: Retrieval-Augmented Multimodal Experts for Short Video Hate Detection.
Jian Lang, Rongpei Hong, Jin Xu, Yili Li, Xovee Xu, Fan Zhou
2025Boosting Asynchronous Decentralized Learning with Model Fragmentation.
Sayan Biswas, Anne-Marie Kermarrec, Alexis Marouani, Rafael Pires, Rishi Sharma, Martijn de Vos
2025Boosting Graph Convolution with Disparity-induced Structural Refinement.
Sujia Huang, Yueyang Pi, Tong Zhang, WenZhe Liu, Zhen Cui
2025BoxCD: Leveraging Contrastive Probabilistic Box Embedding for Effective and Efficient Learner Modeling.
Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Zhenya Huang, Zheng Zhang, Rui Lv
2025Breaking the Shield: Analyzing and Attacking Canvas Fingerprinting Defenses in the Wild.
Hoang Dai Nguyen, Phani Vadrevu
2025Brewing Vodka: Distilling Pure Knowledge for Lightweight Threat Detection in Audit Logs.
Weiheng Wu, Wei Qiao, Wenhao Yan, Bo Jiang, Yuling Liu, Baoxu Liu, Zhigang Lu, Junrong Liu
2025Bridging Fairness and Uncertainty: Theoretical Insights and Practical Strategies for Equalized Coverage in GNNs.
Longfeng Wu, Yao Zhou, Jian Kang, Dawei Zhou
2025Bridging the Gap: Aligning Language Model Generation with Structured Information Extraction via Controllable State Transition.
Hao Li, Yubing Ren, Yanan Cao, Yingjie Li, Fang Fang, Zheng Lin, Shi Wang
2025Bridging the Gap: Teacher-Assisted Wasserstein Knowledge Distillation for Efficient Multi-Modal Recommendation.
Ziyi Zhuang, Hanwen Du, Hui Han, Youhua Li, Junchen Fu, Joemon M. Jose, Yongxin Ni
2025Broken Access: On the Challenges of Screen Reader Assisted Two-Factor and Passwordless Authentication.
Md Mojibur Rahman Redoy Akanda, Ahmed Tanvir Mahdad, Nitesh Saxena
2025C3AI: Crafting and Evaluating Constitutions for Constitutional AI.
Yara Kyrychenko, Ke Zhou, Edyta Paulina Bogucka, Daniele Quercia
2025CAP: Causal Air Quality Index Prediction Under Interference with Unmeasured Confounding.
Huayi Yang, Chunyuan Zheng, Guorui Liao, Shanshan Huang, Jun Liao, Zhili Gong, Haoxuan Li, Li Liu
2025CATALOG: Exploiting Joint Temporal Dependencies for Enhanced Phishing Detection on Ethereum.
Medhasree Ghosh, Swapnil Srivastava, Apoorva Upadhyaya, Raju Halder, Joydeep Chandra
2025CROWN: A Novel Approach to Comprehending Users' Preferences for Accurate Personalized News Recommendation.
Yunyong Ko, Seongeun Ryu, Sang-Wook Kim
2025CTR-Driven Advertising Image Generation with Multimodal Large Language Models.
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
2025Catalysts of Conversation: Examining Interaction Dynamics Between Topic Initiators and Commentors in Alzheimer's Disease Online Communities.
Congning Ni, Qingxia Chen, Lijun Song, Patricia Commiskey, Qingyuan Song, Bradley A. Malin, Zhijun Yin
2025Causal Insights into Parler's Content Moderation Shift: Effects on Toxicity and Factuality.
Nihal Kumarswamy, Mohit Singhal, Shirin Nilizadeh
2025Causal Modeling of Climate Activism on Reddit.
Jacopo Lenti, Luca Maria Aiello, Corrado Monti, Gianmarco De Francisci Morales
2025Centralization in the Decentralized Web: Challenges and Opportunities in IPFS Data Management.
Ruizhe Shi, Ruizhi Cheng, YuQi Fu, Bo Han, Yue Cheng, Songqing Chen
2025Chain-of-Factors Paper-Reviewer Matching.
Yu Zhang, Yanzhen Shen, SeongKu Kang, Xiusi Chen, Bowen Jin, Jiawei Han
2025Cluster Aware Graph Anomaly Detection.
Lecheng Zheng, John R. Birge, Haiyue Wu, Yifang Zhang, Jingrui He
2025ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration.
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
2025Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems.
Yaochen Zhu, Chao Wan, Harald Steck, Dawen Liang, Yesu Feng, Nathan Kallus, Jundong Li
2025Common Foundations for SHACL, ShEx, and PG-Schema.
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
2025Community Detection in Large-Scale Complex Networks via Structural Entropy Game.
Yantuan Xian, Pu Li, Hao Peng, Zhengtao Yu, Yan Xiang, Philip S. Yu
2025Compress and Mix: Advancing Efficient Taxonomy Completion with Large Language Models.
Hongyuan Xu, Yuhang Niu, Yanlong Wen, Xiaojie Yuan
2025Conformal Graph-level Out-of-distribution Detection with Adaptive Data Augmentation.
Xixun Lin, Yanan Cao, Nan Sun, Lixin Zou, Chuan Zhou, Peng Zhang, Shuai Zhang, Ge Zhang, Jia Wu
2025Contextualized Counterspeech: Strategies for Adaptation, Personalization, and Evaluation.
Lorenzo Cima, Alessio Miaschi, Amaury Trujillo, Marco Avvenuti, Felice Dell'Orletta, Stefano Cresci
2025Coreness Maximization through Budget-Limited Edge Insertion.
Xiaowei Lv, Xiaojia Xu, Yongcai Wang, Haoyu Liu, Deying Li
2025Counting Cohesive Subgraphs with Hereditary Properties.
Rong-Hua Li, Xiaowei Ye, Fusheng Jin, Yu-Ping Wang, Ye Yuan, Guoren Wang
2025Covering K-Cliques in Billion-Scale Graphs.
Kaiyu Chen, Dong Wen, Hanchen Wang, Zhengyi Yang, Wenjie Zhang, Xuemin Lin
2025Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria Recommendation.
Jin-Duk Park, Jaemin Yoo, Won-Yong Shin
2025Cross-Modal Transfer from Memes to Videos: Addressing Data Scarcity in Hateful Video Detection.
Han Wang, Rui Yang Tan, Roy Ka-Wei Lee
2025D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems.
Jiarui Qin, Weiwen Liu, Weinan Zhang, Yong Yu
2025DAGE: DAG Query Answering via Relational Combinator with Logical Constraints.
Yunjie He, Bo Xiong, Daniel Hernández, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab
2025DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach.
Qin Chen, Liang Wang, Bo Zheng, Guojie Song
2025DVIB: Towards Robust Multimodal Recommender Systems via Variational Information Bottleneck Distillation.
Wenkuan Zhao, Shanshan Zhong, Yifan Liu, Wushao Wen, Jinghui Qin, Mingfu Liang, Zhongzhan Huang
2025Damage Analysis via Bidirectional Multi-Task Cascaded Multimodal Fusion.
Tao Liang, Siying Wu, Junfeng Fang, Guowu Yang, Wenya Wang, Fengmao Lv
2025Dealing with Noisy Data in Federated Learning: An Incentive Mechanism with Flexible Pricing.
Hengzhi Wang, Haoran Chen, Minghe Ma, Laizhong Cui
2025DecETT: Accurate App Fingerprinting Under Encrypted Tunnels via Dual Decouple-based Semantic Enhancement.
Zheyuan Gu, Chang Liu, Xiyuan Zhang, Chen Yang, Gaopeng Gou, Gang Xiong, Zhen Li, Sijia Li
2025Decoupling Knowledge and Context: An Efficient and Effective Retrieval Augmented Generation Framework via Cross Attention.
Qian Dong, Qingyao Ai, Hongning Wang, Yiding Liu, Haitao Li, Weihang Su, Yiqun Liu, Tat-Seng Chua, Shaoping Ma
2025Detecting Linguistic Bias in Government Documents Using Large language Models.
Milena de Swart, Floris den Hengst, Jieying Chen
2025Detecting and Understanding the Promotion of Illicit Goods and Services on Twitter.
Hongyu Wang, Ying Li, Ronghong Huang, Xianghang Mi
2025DiGrI: Distorted Greedy Approach for Human-Assisted Online Suicide Ideation Detection.
Usman Naseem, Liang Hu, Qi Zhang, Shoujin Wang, Shoaib Jameel
2025Differentially Private Bayesian Persuasion.
Yuqi Pan, Zhiwei Steven Wu, Haifeng Xu, Shuran Zheng
2025Diffusion-based Graph-agnostic Clustering.
Kun Xie, Renchi Yang, Sibo Wang
2025Digital Disparities: A Comparative Web Measurement Study Across Economic Boundaries.
Masudul Hasan Masud Bhuiyan, Matteo Varvello, Cristian-Alexandru Staicu, Yasir Zaki
2025Disentangled Condensation for Large-scale Graphs.
Zhenbang Xiao, Yu Wang, Shunyu Liu, Bingde Hu, Huiqiong Wang, Mingli Song, Tongya Zheng
2025Disentangled Knowledge Tracing for Alleviating Cognitive Bias.
Yiyun Zhou, Zheqi Lv, Shengyu Zhang, Jingyuan Chen
2025Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation.
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
2025Distinctiveness Maximization in Datasets Assemblage.
Tingting Wang, Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Volkan Dedeoglu, Reza Arablouei
2025Distinguished Quantized Guidance for Diffusion-based Sequence Recommendation.
Wenyu Mao, Shuchang Liu, Haoyang Liu, Haozhe Liu, Xiang Li, Lantao Hu
2025Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model.
Chu Zhao, Enneng Yang, Yuliang Liang, Jianzhe Zhao, Guibing Guo, Xingwei Wang
2025Division-of-Thoughts: Harnessing Hybrid Language Model Synergy for Efficient On-Device Agents.
Chenyang Shao, Xinyuan Hu, Yutang Lin, Fengli Xu
2025Do Not Trust What They Tell: Exposing Malicious Accomplices in Tor via Anomalous Circuit Detection.
Yixuan Yao, Ming Yang, Zixia Liu, Kai Dong, Xiaodan Gu, Chunmian Wang
2025Does Weighting Improve Matrix Factorization for Recommender Systems?
Alex Ayoub, Samuel Robertson, Dawen Liang, Harald Steck, Nathan Kallus
2025Domain-Informed Negative Sampling Strategies for Dynamic Graph Embedding in Meme Stock-Related Social Networks.
Yunming Hui, Inez Maria Zwetsloot, Simon Trimborn, Stevan Rudinac
2025Dr. Docker: A Large-Scale Security Measurement of Docker Image Ecosystem.
Hequan Shi, Lingyun Ying, Libo Chen, Haixin Duan, Ming Liu, Zhi Xue
2025Dual Graph Denoising Model for Social Recommendation.
Anchen Li, Bo Yang
2025Dual Intention Escape: Penetrating and Toxic Jailbreak Attack against Large Language Models.
Yanni Xue, Jiakai Wang, Zixin Yin, Yuqing Ma, Haotong Qin, Renshuai Tao, Xianglong Liu
2025Dual Operation Aggregation Graph Neural Networks for Solving Flexible Job-Shop Scheduling Problem with Reinforcement Learning.
Peng Zhao, You Zhou, Di Wang, Zhiguang Cao, Yubin Xiao, Xuan Wu, Yuanshu Li, Hongjia Liu, Wei Du, Yuan Jiang, Liupu Wang
2025Dual Pairwise Pre-training and Prompt-tuning with Aligned Prototypes for Interbank Credit Rating.
Jiehao Tang, Wenjun Wang, Dawei Cheng, Hui Zhao, Changjun Jiang
2025Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks.
Yonghao Liu, Mengyu Li, Fausto Giunchiglia, Lan Huang, Ximing Li, Xiaoyue Feng, Renchu Guan
2025Dynamic Gradient Influencing for Viral Marketing Using Graph Neural Networks.
Saurabh Sharma, Ambuj K. Singh
2025Dynamic Graph Unlearning: A General and Efficient Post-Processing Method via Gradient Transformation.
He Zhang, Bang Wu, Xiangwen Yang, Xingliang Yuan, Xiaoning Liu, Xun Yi
2025Dynamic Security Analysis of JavaScript: Are We There Yet?
Stefano Calzavara, Samuele Casarin, Riccardo Focardi
2025EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration.
Minjie Hong, Yan Xia, Zehan Wang, Jieming Zhu, Ye Wang, Sihang Cai, Xiaoda Yang, Quanyu Dai, Zhenhua Dong, Zhimeng Zhang, Zhou Zhao
2025ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems.
Haibo Xing, Kanefumi Matsuyama, Hao Deng, Jinxin Hu, Yu Zhang, Xiaoyi Zeng
2025ETS-MM: A Multi-Modal Social Bot Detection Model Based on Enhanced Textual Semantic Representation.
Wei Li, Jiawen Deng, Jiali You, Yuanyuan He, Yan Zhuang, Fuji Ren
2025EVA-MVC: Equitable View-weight Allocation for Generic Multi-View Clustering.
Yuan Fang, Xiaofeng Feng, Geping Yang, Ruichu Cai, Yiyang Yang, Zhiguo Gong, Zhifeng Hao
2025EdgeThemis: Ensuring Model Integrity for Edge Intelligence.
Jiyu Yang, Qiang He, Zheyu Zhou, Xiaohai Dai, Feifei Chen, Cong Tian, Yun Yang
2025Effective Influence Maximization with Priority.
Jinghao Wang, Yanping Wu, Xiaoyang Wang, Chen Chen, Ying Zhang, Lu Qin
2025Effective Instruction Parsing Plugin for Complex Logical Query Answering on Knowledge Graphs.
Xingrui Zhuo, Jiapu Wang, Gongqing Wu, Shirui Pan, Xindong Wu
2025Effectiveness of Privacy-preserving Algorithms in LLMs: A Benchmark and Empirical Analysis.
Jinglin Sun, Basem Suleiman, Imdad Ullah, Imran Razzak
2025Efficient and Practical Approximation Algorithms for Advertising in Content Feeds.
Guangyi Zhang, Ilie Sarpe, Aristides Gionis
2025Empowering Federated Graph Rationale Learning with Latent Environments.
Linan Yue, Qi Liu, Yawen Li, Fangzhou Yao, Weibo Gao, Junping Du
2025Enabling Real-Time Inference in Online Continual Learning via Device-Cloud Collaboration.
Haibo Liu, Chen Gong, Zhenzhe Zheng, Shengzhong Liu, Fan Wu
2025Enhancing Cross-domain Link Prediction via Evolution Process Modeling.
Xuanwen Huang, Wei Chow, Yize Zhu, Yang Wang, Ziwei Chai, Chunping Wang, Lei Chen, Yang Yang
2025Enhancing Knowledge Tracing through Decoupling Cognitive Pattern from Error-Prone Data.
Teng Guo, Yu Qin, Yubin Xia, Mingliang Hou, Zitao Liu, Feng Xia, Weiqi Luo
2025Epidemiology-informed Network for Robust Rumor Detection.
Wei Jiang, Tong Chen, Xinyi Gao, Wentao Zhang, Lizhen Cui, Hongzhi Yin
2025Evaluating Robustness of LLMs on Crisis-Related Microblogs across Events, Information Types, and Linguistic Features.
Muhammad Imran, Abdul Wahab Ziaullah, Kai Chen, Ferda Ofli
2025Explainable Multi-Modality Alignment for Transferable Recommendation.
Shenghao Yang, Weizhi Ma, Zhiqiang Guo, Min Zhang, Haiyang Wu, Junjie Zhai, Chunhui Zhang, Yuekui Yang
2025Explainable and Efficient Editing for Large Language Models.
Tianyu Zhang, Junfeng Fang, Houcheng Jiang, Baolong Bi, Xiang Wang, Xiangnan He
2025Exploiting Language Power for Time Series Forecasting with Exogenous Variables.
Qihe Huang, Zhengyang Zhou, Kuo Yang, Yang Wang
2025Exploring Hypergraph Condensation via Variational Hyperedge Generation and Multi-Aspectual Amelioration.
Zheng Gong, Shuheng Shen, Changhua Meng, Ying Sun
2025Exposing Cross-Platform Coordinated Inauthentic Activity in the Run-Up to the 2024 U.S. Election.
Federico Cinus, Marco Minici, Luca Luceri, Emilio Ferrara
2025ExpressPQDelivery: Toward Efficient and Immediately Deployable Post-Quantum Key Delivery for Web-of-Things.
Jane Kim, Jung-Hun Kang, Hyunwoo Lee, Seung-Hyun Seo
2025FG-CIBGC: A Unified Framework for Fine-Grained and Class-Incremental Behavior Graph Classification.
Zhibin Ni, Pan Fan, Shengzhuo Dai, Bo Zhang, Hai Wan, Xibin Zhao
2025FLock: Robust and Privacy-Preserving Federated Learning based on Practical Blockchain State Channels.
Ruonan Chen, Ye Dong, Yizhong Liu, Tingyu Fan, Dawei Li, Zhenyu Guan, Jianwei Liu, Jianying Zhou
2025FP-Rainbow: Fingerprint-Based Browser Configuration Identification.
Maxime Huyghe, Walter Rudametkin, Clément Quinton
2025FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning.
Zitong Li, Qingqing Ye, Haibo Hu
2025Facing Anomalies Head-On: Network Traffic Anomaly Detection via Uncertainty-Inspired Inter-Sample Differences.
Xinglin Lian, Chengtai Cao, Yan Liu, Xovee Xu, Yu Zheng, Fan Zhou
2025Fact-based Counter Narrative Generation to Combat Hate Speech.
Brian Wilk, Homaira Huda Shomee, Suman Kalyan Maity, Sourav Medya
2025Fair Clustering for Data Summarization: Improved Approximation Algorithms and Complexity Insights.
Ameet Gadekar, Aristides Gionis, Suhas Thejaswi
2025Fair Network Communities through Group Modularity.
Christos Gkartzios, Evaggelia Pitoura, Panayiotis Tsaparas
2025Fair Personalized Learner Modeling Without Sensitive Attributes.
Hefei Xu, Min Hou, Le Wu, Fei Liu, Yonghui Yang, Haoyue Bai, Richang Hong, Meng Wang
2025Fairness Evaluation with Item Response Theory.
Ziqi Xu, Sevvandi Kandanaarachchi, Cheng Soon Ong, Eirini Ntoutsi
2025Fairness-aware Prompt Tuning for Graph Neural Networks.
Zhengpin Li, Minhua Lin, Jian Wang, Suhang Wang
2025Falling Walls, WWW, Modern AI, and the Future of the Universe.
Jürgen Schmidhuber
2025Fast Estimation and Optimization of Resistance Diameter on Graphs.
Zenan Lu, Xiaotian Zhou, Zhongzhi Zhang
2025FedMobile: Enabling Knowledge Contribution-aware Multi-modal Federated Learning with Incomplete Modalities.
Yi Liu, Cong Wang, Xingliang Yuan
2025FedRIR: Rethinking Information Representation in Federated Learning.
Yongqiang Huang, Zerui Shao, Ziyuan Yang, Zexin Lu, Yi Zhang
2025Federated Graph Anomaly Detection via Disentangled Representation Learning.
Zhengyang Liu, Hang Yu, Xiangfeng Luo
2025Figurative-cum-Commonsense Knowledge Infusion for Multimodal Mental Health Meme Classification.
Abdullah Mazhar, Zuhair Hasan Shaik, Aseem Srivastava, Polly Ruhnke, Lavanya Vaddavalli, Sri Keshav Katragadda, Shweta Yadav, Md. Shad Akhtar
2025Filtering Discomforting Recommendations with Large Language Models.
Jiahao Liu, Yiyang Shao, Peng Zhang, Dongsheng Li, Hansu Gu, Chao Chen, Longzhi Du, Tun Lu, Ning Gu
2025Fine-Grained Data Inference via Incomplete Multi-Granularity Data.
Hepeng Gao, Yijun Su, Funing Yang, Yongjian Yang
2025Fitting Into Any Shape: A Flexible LLM-Based Re-Ranker With Configurable Depth and Width.
Zheng Liu, Chaofan Li, Shitao Xiao, Chaozhuo Li, Chen Jason Zhang, Hao Liao, Defu Lian, Yingxia Shao
2025Following Clues, Approaching the Truth: Explainable Micro-Video Rumor Detection via Chain-of-Thought Reasoning.
Rongpei Hong, Jian Lang, Jin Xu, Zhangtao Cheng, Ting Zhong, Fan Zhou
2025Frequency-Augmented Mixture-of-Heterogeneous-Experts Framework for Sequential Recommendation.
Junjie Zhang, Ruobing Xie, Hongyu Lu, Wenqi Sun, Wayne Xin Zhao, Yu Chen, Zhanhui Kang
2025From Data Deluge to Data Curation: A Filtering-WoRA Paradigm for Efficient Text-based Person Search.
Jintao Sun, Hao Fei, Gangyi Ding, Zhedong Zheng
2025From Predictions to Analyses: Rationale-Augmented Fake News Detection with Large Vision-Language Models.
Xiaofan Zheng, Zinan Zeng, Heng Wang, Yuyang Bai, Yuhan Liu, Minnan Luo
2025From Retrieval to Reasoning: Advancing AI Agents for Knowledge Discovery and Collaboration.
Jure Leskovec
2025Fully Anonymous Decentralized Identity Supporting Threshold Traceability with Practical Blockchain.
Yizhong Liu, Zedan Zhao, Boyu Zhao, Feiang Ran, Xun Lin, Dawei Li, Zhenyu Guan
2025G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation.
Yuhan Li, Xinni Zhang, Linhao Luo, Heng Chang, Yuxiang Ren, Irwin King, Jia Li
2025GL2GPU: Accelerating WebGL Applications via Dynamic API Translation to WebGPU.
Yudong Han, Weichen Bi, Ruibo An, Deyu Tian, Qi Yang, Yun Ma
2025Gamblers or Delegatees: Identifying Hidden Participant Roles in Crypto Casinos.
Jiaxin Wang, Qian'ang Mao, Hongliang Sun, Jiaqi Yan
2025Generalization Performance of Hypergraph Neural Networks.
Yifan Wang, Gonzalo R. Arce, Guangmo Tong
2025Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations.
Jin Li, Shoujin Wang, Qi Zhang, Shui Yu, Fang Chen
2025Generative Dynamic Graph Representation Learning for Conspiracy Spoofing Detection.
Sheng Xiang, Yidong Jiang, Yunting Chen, Dawei Cheng, Guoping Zhao, Changjun Jiang
2025Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection.
Jie Yang, Rui Zhang, Ziyang Cheng, Dawei Cheng, Guang Yang, Bo Wang
2025Graph Embeddings Meet Link Keys Discovery for Entity Matching.
Chloé Khadija Jradeh, Ensiyeh Raoufi, Jérôme David, Pierre Larmande, François Scharffe, Konstantin Todorov, Cássia Trojahn
2025Graph Meets LLM for Review Personalization based on User Votes.
Sharon Hirsch, Lilach Zitnitski, Slava Novgorodov, Ido Guy, Bracha Shapira
2025Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation.
Chu Zhao, Enneng Yang, Yuliang Liang, Pengxiang Lan, Yuting Liu, Jianzhe Zhao, Guibing Guo, Xingwei Wang
2025Graph Self-Supervised Learning with Learnable Structural and Positional Encodings.
Asiri Wijesinghe, Hao Zhu, Piotr Koniusz
2025Graph Wave Networks.
Juwei Yue, Haikuo Li, Jiawei Sheng, Yihan Guo, Xinghua Zhang, Chuan Zhou, Tingwen Liu, Li Guo
2025Graph with Sequence: Broad-Range Semantic Modeling for Fake News Detection.
Junwei Yin, Min Gao, Kai Shu, Wentao Li, Yinqiu Huang, Zongwei Wang
2025GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs.
Yun Zhu, Haizhou Shi, Xiaotang Wang, Yongchao Liu, Yaoke Wang, Boci Peng, Chuntao Hong, Siliang Tang
2025GraphCSR: A Space and Time-Efficient Sparse Matrix Representation for Web-scale Graph Processing.
Xinbiao Gan, Tiejun Li, Qiang Zhang, Guang Wu, Bo Yang, Chunye Gong, Jie Liu, Kai Lu
2025GraphCom: Communication Hierarchy-aware Graph Engine for Distributed Model Training.
Xinbiao Gan, Tiejun Li, Liang Wu, Qiang Zhang, Lingyun Song, Bo Yang, Jie Liu, Kai Lu
2025GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems.
Xinyi Wu, Donald Loveland, Runjin Chen, Yozen Liu, Xin Chen, Leonardo Neves, Ali Jadbabaie, Mingxuan Ju, Neil Shah, Tong Zhao
2025Grasp the Key Takeaways from Source Domain for Few Shot Graph Domain Adaptation.
Xiangwei Lv, Jingyuan Chen, Mengze Li, Yongduo Sui, Zemin Liu, Beishui Liao
2025HOLMES & WATSON: A Robust and Lightweight HTTPS Website Fingerprinting through HTTP Version Parallelism.
Yifei Cheng, Yujia Zhu, Baiyang Li, Peishuai Sun, Yong Ding, Xinhao Deng, Qingyun Liu
2025Harmful Terms and Where to Find Them: Measuring and Modeling Unfavorable Financial Terms and Conditions in Shopping Websites at Scale.
Elisa Tsai, Neal Mangaokar, Boyuan Zheng, Haizhong Zheng, Atul Prakash
2025HeatSnap: A Hot Page-Aware Continuous Snapshots System for Virtual Machines in Web Infrastructure.
Kangyue Gao, Chuangyu Ouyang, Xinkui Zhao, Miao Ye, Chen Zhi, Guanjie Cheng, Yueshen Xu, Shuiguang Deng, Jianwei Yin
2025Helios: Learning and Adaptation of Matching Rules for Continual In-Network Malicious Traffic Detection.
Zhenning Shi, Dan Zhao, Yijia Zhu, Guorui Xie, Qing Li, Yong Jiang
2025Heterogeneous Graph Transfer Learning for Category-aware Cross-Domain Sequential Recommendation.
Zitao Xu, Xiaoqing Chen, Weike Pan, Zhong Ming
2025Hidden Impact of Hardware Technologies on Throughput: a Case Study on a Brazilian Mobile Web Network.
Eduardo C. Paim, Roberto Irajá Tavares da Costa Filho, Valter Roesler, Theophilus A. Benson, Alberto Schaeffer-Filho
2025Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation.
Shengzhe Zhang, Liyi Chen, Dazhong Shen, Chao Wang, Hui Xiong
2025Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection.
Long Zeng, Jianxiang Yu, Jiapeng Zhu, Qingsong Zhong, Xiang Li
2025Highly-efficient Minimization of Network Connectivity in Large-scale Graphs.
Mingyang Zhou, Gang Liu, Kezhong Lu, Hao Liao, Rui Mao
2025Horizontal Federated Heterogeneous Graph Learning: A Multi-Scale Adaptive Solution to Data Distribution Challenges.
Jia Wang, Yawen Li, Zhe Xue, Yingxia Shao, Zeli Guan, Wenling Li
2025How much Medical Knowledge do LLMs have? An Evaluation of Medical Knowledge Coverage for LLMs.
Ziheng Zhang, Zhenxi Lin, Yefeng Zheng, Xian Wu
2025HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems.
Jiejun Tan, Zhicheng Dou, Wen Wang, Mang Wang, Weipeng Chen, Ji-Rong Wen
2025Human-Centric Community Detection in Hybrid Metaverse Networks with Integrated AI Entities.
Shih-Hsuan Chiu, Ya-Wen Teng, De-Nian Yang, Ming-Syan Chen
2025Hunting in the Dark Forest: A Pre-trained Model for On-chain Attack Transaction Detection in Web3.
Zhiying Wu, Jiajing Wu, Hui Zhang, Zibin Zheng, Weiqiang Wang
2025HySAE: An Efficient Semantic-Enhanced Representation Learning Model for Knowledge Hypergraph Link Prediction.
Zhao Li, Xin Wang, Jun Zhao, Feng Feng, Zirui Chen, Jianxin Li
2025Hyper-Relational Knowledge Representation Learning with Multi-Hypergraph Disentanglement.
Jiecheng Li, Xudong Luo, Guangquan Lu, Shichao Zhang
2025Hyperbolic Diffusion Recommender Model.
Meng Yuan, Yutian Xiao, Wei Chen, Chou Zhao, Deqing Wang, Fuzhen Zhuang
2025Hyperbolic Variational Graph Auto-Encoder for Next POI Recommendation.
Yuwen Liu, Lianyong Qi, Xingyuan Mao, Weiming Liu, Fan Wang, Xiaolong Xu, Xuyun Zhang, Wanchun Dou, Xiaokang Zhou, Amin Beheshti
2025Hyperbolic-Euclidean Deep Mutual Learning.
Haifang Cao, Yu Wang, Jialu Li, Pengfei Zhu, Qinghua Hu
2025Hypergraph-based Temporal Modelling of Repeated Intent for Sequential Recommendation.
Andreas Peintner, Amir Reza Mohammadi, Michael Müller, Eva Zangerle
2025Hypergraph-based Zero-shot Multi-modal Product Attribute Value Extraction.
Jiazhen Hu, Jiaying Gong, Hongda Shen, Hoda Eldardiry
2025IPdb: A High-Precision IP Level Industry Categorization of Web Services.
Hongxu Chen, Guanglei Song, Zhiliang Wang, Jiahai Yang, Songyun Wu, Jinlei Lin, Lin He, Chenglong Li
2025ITMPRec: Intention-based Targeted Multi-round Proactive Recommendation.
Yahong Lian, Chunyao Song, Tingjian Ge
2025IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification.
Zhixun Li, Dingshuo Chen, Tong Zhao, Daixin Wang, Hongrui Liu, Zhiqiang Zhang, Jun Zhou, Jeffrey Xu Yu
2025IllusionCAPTCHA: A CAPTCHA based on Visual Illusion.
Ziqi Ding, Gelei Deng, Yi Liu, Junchen Ding, Jieshan Chen, Yulei Sui, Yuekang Li
2025In-Group Love, Out-Group Hate: A Framework to Measure Affective Polarization via Contentious Online Discussions.
Buddhika Nettasinghe, Ashwin Rao, Bohan Jiang, Allon G. Percus, Kristina Lerman
2025InCo: Exploring Inter-Trip Cooperation for Efficient Last-mile Delivery.
Wenjun Lyu, Shuxin Zhong, Guang Yang, Haotian Wang, Yi Ding, Shuai Wang, Yunhuai Liu, Tian He, Desheng Zhang
2025Inferentially-Private Private Information.
Shuaiqi Wang, Shuran Zheng, Zinan Lin, Giulia Fanti, Zhiwei Steven Wu
2025InfoMAE: Pair-Efficient Cross-Modal Alignment for Multimodal Time-Series Sensing Signals.
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
2025Instruction Vulnerability Prediction for WebAssembly with Semantic Enhanced Code Property Graph.
Bao Wen, Jingjing Gu, Hao Han, Pengfei Yu, Yang Liu
2025Interactive Visualization Recommendation with Hier-SUCB.
Songwen Hu, Ryan A. Rossi, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Shuai Li
2025Joint Evaluation of Fairness and Relevance in Recommender Systems with Pareto Frontier.
Theresia Veronika Rampisela, Tuukka Ruotsalo, Maria Maistro, Christina Lioma
2025Joint Optimal Transport and Embedding for Network Alignment.
Qi Yu, Zhichen Zeng, Yuchen Yan, Lei Ying, R. Srikant, Hanghang Tong
2025Joint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation.
Weiming Liu, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Xiaolin Zheng, Zhihui Fu, Ruiguang Pei, Jun Wang
2025Kronecker Generative Models for Power-Law Patterns in Real-World Hypergraphs.
Minyoung Choe, Jihoon Ko, Taehyung Kwon, Kijung Shin, Christos Faloutsos
2025LIRA: A Learning-based Query-aware Partition Framework for Large-scale ANN Search.
Ximu Zeng, Liwei Deng, Penghao Chen, Xu Chen, Han Su, Kai Zheng
2025LLGformer: Learnable Long-range Graph Transformer for Traffic Flow Prediction.
Di Jin, Cuiying Huo, Jiayi Shi, Dongxiao He, Jianguo Wei, Philip S. Yu
2025LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations.
Jingtong Gao, Bo Chen, Xiangyu Zhao, Weiwen Liu, Xiangyang Li, Yichao Wang, Wanyu Wang, Huifeng Guo, Ruiming Tang
2025LLMCloudHunter: Harnessing LLMs for Automated Extraction of Detection Rules from Cloud-Based CTI.
Yuval Schwartz, Lavi Ben-Shimol, Dudu Mimran, Yuval Elovici, Asaf Shabtai
2025LP-DIXIT: Evaluating Explanations for Link Predictions on Knowledge Graphs using Large Language Models.
Roberto Barile, Claudia d'Amato, Nicola Fanizzi
2025LUSTER: Link Prediction Utilizing Shared-Latent Space Representation in Multi-Layer Networks.
Ruohan Yang, Muhammad Asif Ali, Huan Wang, Junyang Chen, Di Wang
2025Large Language Models Empowered Personalized Web Agents.
Hongru Cai, Yongqi Li, Wenjie Wang, Fengbin Zhu, Xiaoyu Shen, Wenjie Li, Tat-Seng Chua
2025Large Language Models as Narrative-Driven Recommenders.
Lukas Eberhard, Thorsten Ruprechter, Denis Helic
2025LargePiG for Hallucination-Free Query Generation: Your Large Language Model is Secretly a Pointer Generator.
Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu
2025Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals.
Ruichu Cai, Zhifan Jiang, Kaitao Zheng, Zijian Li, Weilin Chen, Xuexin Chen, Yifan Shen, Guangyi Chen, Zhifeng Hao, Kun Zhang
2025Learning Feasible Causal Algorithmic Recourse: A Prior Structural Knowledge Free Approach.
Haotian Wang, Hao Zou, Xueguang Zhou, Shangwen Wang, Wenjing Yang, Peng Cui
2025Learning against Non-credible Second-Price Auctions.
Qian Wang, Xuanzhi Xia, Zongjun Yang, Xiaotie Deng, Yuqing Kong, Zhilin Zhang, Liang Wang, Chuan Yu, Jian Xu, Bo Zheng
2025Learning by Comparing: Boosting Multimodal Affective Computing through Ordinal Learning.
Sijie Mai, Ying Zeng, Haifeng Hu
2025Least Privilege Access for Persistent Storage Mechanisms in Web Browsers.
Gayatri Priyadarsini Kancherla, Dishank Goel, Abhishek Bichhawat
2025Leveraging Heterogeneous Spillover in Maximizing Contextual Bandit Rewards.
Ahmed Sayeed Faruk, Elena Zheleva
2025Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts.
Jinluan Yang, Zhengyu Chen, Teng Xiao, Yong Lin, Wenqiao Zhang, Kun Kuang
2025Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models.
Qi Liu, Bo Wang, Nan Wang, Jiaxin Mao
2025Linear-Time Algorithms for Representative Subset Selection From Data Streams.
Shuang Cui, Kai Han, Jing Tang
2025Linking Souls to Humans: Blockchain Accounts with Credible Anonymity for Web 3.0 Decentralized Identity.
Taotao Wang, Zibin Lin, Shengli Zhang, Long Shi, Qing Yang, Boris Düdder
2025LoCal: Logical and Causal Fact-Checking with LLM-Based Multi-Agents.
Jiatong Ma, Linmei Hu, Rang Li, Wenbo Fu
2025Local Differentially Private Release of Infinite Streams With Temporal Relevance.
Runze Wang, Jiahao Liu, Miao Hu, Yipeng Zhou, Di Wu
2025Logic-Aware Knowledge Graph Reasoning for Structural Sparsity under Large Language Model Supervision.
Yudai Pan, Jiajie Hong, Tianzhe Zhao, Lingyun Song, Jun Liu, Xuequn Shang
2025M
Ahtamjan Ahmat, Lei Wang, Yating Yang, Bo Ma, Rui Dong, Kaiwen Lu, Rong Ma, Xinyue Wang
2025MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification.
Yiqun Chen, Jiaxin Mao, Yi Zhang, Dehong Ma, Long Xia, Jun Fan, Daiting Shi, Zhicong Cheng, Simiu Gu, Dawei Yin
2025MAML: Towards a Faster Web in Developing Regions.
Ayush Pandey, Matteo Varvello, Syed Ishtiaque Ahmed, Shurui Zhou, Lakshmi Subramanian, Yasir Zaki
2025MAP the Blockchain World: A Trustless and Scalable Blockchain Interoperability Protocol for Cross-chain Applications.
Yinfeng Cao, Jiannong Cao, Dongbin Bai, Long Wen, Yang Liu, Ruidong Li
2025MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising.
Quanyu Dai, Jiaren Xiao, Zhaocheng Du, Jieming Zhu, Chengxiao Luo, Xiao-Ming Wu, Zhenhua Dong
2025MDAM
Qingzheng Xu, Heming Du, Szymon Lukasik, Tianqing Zhu, Sen Wang, Xin Yu
2025MDEval: Evaluating and Enhancing Markdown Awareness in Large Language Models.
Zhongpu Chen, Yinfeng Liu, Long Shi, Zhi-Jie Wang, Xingyan Chen, Yu Zhao, Fuji Ren
2025MER-Inspector: Assessing Model Extraction Risks from An Attack-Agnostic Perspective.
Xinwei Zhang, Haibo Hu, Qingqing Ye, Li Bai, Huadi Zheng
2025MGF-ESE: An Enhanced Semantic Extractor with Multi-Granularity Feature Fusion for Code Summarization.
Xiaolong Xu, Yuxin Cao, Hongsheng Hu, Haolong Xiang, Lianyong Qi, Junqun Xiong, Wanchun Dou
2025MISE: Meta-knowledge Inheritance for Social Media-Based Stressor Estimation.
Xin Wang, Ling Feng, Huijun Zhang, Lei Cao, Kaisheng Zeng, Qi Li, Yang Ding, Yi Dai, David A. Clifton
2025MSDZip: Universal Lossless Compression for Multi-source Data via Stepwise-parallel and Learning-based Prediction.
Huidong Ma, Hui Sun, Liping Yi, Yanfeng Ding, Xiaoguang Liu, Gang Wang
2025MSTI-Plus: Introducing Non-Sarcasm Reference Materials to Enhance Multimodal Sarcasm Target Identification.
Fengmao Lv, Mengting Xiong, Junlin Fang, Lingli Zhang, Tianze Luo, Weichao Liang, Tianrui Li
2025Mask-based Membership Inference Attacks for Retrieval-Augmented Generation.
Mingrui Liu, Sixiao Zhang, Cheng Long
2025MatriXSSed: A New Taxonomy for XSS in the Modern Web.
Dolière Francis Somé
2025Maverick: Personalized Edge-Assisted Federated Learning with Contrastive Training.
Kaibin Wang, Qiang He, Zeqian Dong, Rui Chen, Chuan He, Caslon Chua, Feifei Chen, Yun Yang
2025MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot.
Xuejiao Zhao, Siyan Liu, Su-Yin Yang, Chunyan Miao
2025MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation.
Hongjin Qian, Zheng Liu, Peitian Zhang, Kelong Mao, Defu Lian, Zhicheng Dou, Tiejun Huang
2025Mer
Jiayin Luo, Xinkui Zhao, Yuxin Ma, Shengye Pang, Jianwei Yin
2025Mining User Preferences from Online Reviews with the Genre-aware Personalized Neural Topic Model.
Rui Wang, Jiahao Lu, Xincheng Lv, Shuyu Chang, Yansheng Wu, Yuanzhi Yao, Haiping Huang, Guozi Sun
2025Miresga: Accelerating Layer-7 Load Balancing with Programmable Switches.
Xiaoyi Shi, Lin He, Jiasheng Zhou, Yifan Yang, Ying Liu
2025Mitigating Forgetting in Adapting Pre-trained Language Models to Text Processing Tasks via Consistency Alignment.
Jianqi Gao, Hao Wu, Yiu-ming Cheung, Jian Cao, Hang Yu, Yonggang Zhang
2025Mitigating the Participation Bias by Balancing Extreme Ratings.
Yongkang Guo, Yuqing Kong, Jialiang Liu
2025MixRec: Individual and Collective Mixing Empowers Data Augmentation for Recommender Systems.
Yi Zhang, Yiwen Zhang
2025MixedSAND: Semantic Annotation of Mixed-unit Numeric Data.
Amir Behrad Khorram Nazari, Davood Rafiei, Mario A. Nascimento
2025MoCFL: Mobile Cluster Federated Learning Framework for Highly Dynamic Network.
Kai Fang, Jiangtao Deng, Chengzu Dong, Usman Naseem, Tongcun Liu, Hailin Feng, Wei Wang
2025Modality Interactive Mixture-of-Experts for Fake News Detection.
Yifan Liu, Yaokun Liu, Zelin Li, Ruichen Yao, Yang Zhang, Dong Wang
2025Model Supply Chain Poisoning: Backdooring Pre-trained Models via Embedding Indistinguishability.
Hao Wang, Shangwei Guo, Jialing He, Hangcheng Liu, Tianwei Zhang, Tao Xiang
2025Model-Agnostic Social Network Refinement with Diffusion Models for Robust Social Recommendation.
Youchen Sun, Zhu Sun, Yingpeng Du, Jie Zhang, Yew Soon Ong
2025Motivation-Aware Session Planning over Heterogeneous Social Platforms.
Chengkun He, Xiangmin Zhou, Yurong Cheng, Jie Shao, Guoren Wang, Iqbal Gondal, Zahir Tari
2025Multi-Granularity Augmented Graph Learning for Spoofing Transaction Detection.
Xin Liu, Haojun Rui, Dawei Cheng, Li Han, Zhongyun Zhou, Guoping Zhao
2025Multi-Platform Autobidding with and without Predictions.
Gagan Aggarwal, Anupam Gupta, Xizhi Tan, Mingfei Zhao
2025Multimodal Graph-Based Variational Mixture of Experts Network for Zero-Shot Multimodal Information Extraction.
Baohang Zhou, Ying Zhang, Yu Zhao, Xuhui Sui, Xiaojie Yuan
2025Multimodal Knowledge Graph Error Detection with Disentanglement VAE and Multi-Grained Triplet Confidence.
Xuhui Sui, Ying Zhang, Yu Zhao, Baohang Zhou, Xiaojie Yuan
2025Multimodal Taylor Series Network for Misinformation Detection.
Jiahao Sun, Chen Chen, Chunyan Hou, Yike Wu, Xiaojie Yuan
2025Multivariate Time Series Anomaly Detection by Capturing Coarse-Grained Intra- and Inter-Variate Dependencies.
Yongzheng Xie, Hongyu Zhang, Muhammad Ali Babar
2025NFTs as a Data-Rich Test Bed: Conspicuous Consumption and its Determinants.
Taylor Lundy, Narun K. Raman, Scott Duke Kominers, Kevin Leyton-Brown
2025NI-GDBA: Non-Intrusive Distributed Backdoor Attack Based on Adaptive Perturbation on Federated Graph Learning.
Ken Li, Bin Shi, Jiazhe Wei, Bo Dong
2025Nature Makes No Leaps: Building Continuous Location Embeddings with Satellite Imagery from the Web.
Xixuan Hao, Wei Chen, Xingchen Zou, Yuxuan Liang
2025Navigating the Deployment Dilemma and Innovation Paradox: Open-Source versus Closed-source Models.
Yanxuan Wu, Haihan Duan, Xitong Li, Xiping Hu
2025Networked Digital Public Goods Games with Heterogeneous Players and Convex Costs.
Yukun Cheng, Xiaotie Deng, Yunxuan Ma
2025No-Regret Algorithms in non-Truthful Auctions with Budget and ROI Constraints.
Gagan Aggarwal, Giannis Fikioris, Mingfei Zhao
2025NoTeNet: Normalized Mutual Information-Driven Tuning-free Dynamic Dependence Network Inference Method for Multimodal Data.
Xiao Tan, Yangyang Shen, Yan Zhang, Jingwen Shao, Dian Shen, Meng Wang, Beilun Wang
2025Node2binary: Compact Graph Node Embeddings using Binary Vectors.
Niloy Talukder, Croix Gyurek, Mohammad Al Hasan
2025Noise Matters: Diffusion Model-based Urban Mobility Generation with Collaborative Noise Priors.
Yuheng Zhang, Yuan Yuan, Jingtao Ding, Jian Yuan, Yong Li
2025Not All Benignware Are Alike: Enhancing Clean-Label Attacks on Malware Classifiers.
Xutong Wang, Yun Feng, Bingsheng Bi, Yaqin Cao, Ze Jin, Xinyu Liu, Yuling Liu, Yunpeng Li
2025ODNS Clustering: Unveiling Client-Side Dependency in Open DNS Infrastructure.
Wenhao Wu, Zhaohua Wang, Qinxin Li, Zihan Li, Yi Li, Jin Yan, Zhenyu Li
2025ORFA: Exploring WebAssembly as a Turing Complete Query Language for Web APIs.
Yuhao Gu, Chunyu Chen, Jiangsu Du, Xiaoxi Zhang, Xianwei Zhang
2025Off-policy Evaluation for Multiple Actions in the Presence of Unobserved Confounders.
Haolin Wang, Lin Liu, Jiuyong Li, Ziqi Xu, Jixue Liu, Zehong Cao, Debo Cheng
2025Omni-SILA: Towards Omni-scene Driven Visual Sentiment Identifying, Locating and Attributing in Videos.
Jiamin Luo, Jingjing Wang, Junxiao Ma, Yujie Jin, Shoushan Li, Guodong Zhou
2025On the Abuse and Detection of Polyglot Files.
Luke Koch, Sean Oesch, Amir Sadovnik, Brian Weber, Amul Chaulagain, Matthew Dixson, Jared Dixon, Mike Huettel, Cory L. Watson, Jacob Hartman, Richard Patulski
2025On the Cross-Graph Transferability of Dynamic Link Prediction.
Zhiqiang Pan, Chen Gao, Fei Cai, Wanyu Chen, Xin Zhang, Honghui Chen, Yong Li
2025On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective.
Hung Vinh Tran, Tong Chen, Guanhua Ye, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin
2025Online Bidding under RoS Constraints without Knowing the Value.
Sushant Vijayan, Zhe Feng, Swati Padmanabhan, Karthikeyan Shanmugam, Arun Suggala, Di Wang
2025OntoTune: Ontology-Driven Self-training for Aligning Large Language Models.
Zhiqiang Liu, Chengtao Gan, Junjie Wang, Yichi Zhang, Zhongpu Bo, Mengshu Sun, Huajun Chen, Wen Zhang
2025Optimizing Revenue through User Coupon Recommendations in Truthful Online Ad Auctions.
Xiaodong Liu, Xiao Lin, Yiming Ding, Changcheng Li, Peng Jiang, Weiran Shen
2025P4GCN: Vertical Federated Social Recommendation with Privacy-Preserving Two-Party Graph Convolution Network.
Zheng Wang, Wanwan Wang, Yimin Huang, Zhaopeng Peng, Ziqi Yang, Ming Yao, Cheng Wang, Xiaoliang Fan
2025PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning.
Yu Feng, Yangli-ao Geng, Yifan Zhu, Zongfu Han, Xie Yu, Kaiwen Xue, Haoran Luo, Mengyang Sun, Guangwei Zhang, Meina Song
2025PSSD: Making Large Language Models Self-denial via Human Psyche Structure.
Jinzhi Liao, Zenghua Liao, Xiang Zhao
2025Parallel Online Similarity Join over Trajectory Streams.
Zhongjun Ding, Ke Li, Lisi Chen, Shuo Shang
2025Passage: Ensuring Completeness and Responsiveness of Public SPARQL Endpoints with SPARQL Continuation Queries.
Thi Hoang Thi Pham, Gabriela Montoya, Brice Nédelec, Hala Skaf-Molli, Pascal Molli
2025Path-LLM: A Multi-Modal Path Representation Learning by Aligning and Fusing with Large Language Models.
Yongfu Wei, Yan Lin, Hongfan Gao, Ronghui Xu, Sean Bin Yang, Jilin Hu
2025Paths-over-Graph: Knowledge Graph Empowered Large Language Model Reasoning.
Xingyu Tan, Xiaoyang Wang, Qing Liu, Xiwei Xu, Xin Yuan, Wenjie Zhang
2025Peng Cheng Cloud Brain and Mind Series of Large Model.
Wen Gao
2025PerSRV: Personalized Sticker Retrieval with Vision-Language Model.
Heng Er Metilda Chee, Jiayin Wang, Zhiqiang Guo, Weizhi Ma, Min Zhang
2025Perceiving Urban Inequality from Imagery Using Visual Language Models with Chain-of-Thought Reasoning.
Yunke Zhang, Ruolong Ma, Xin Zhang, Yong Li
2025Peripheral Instinct: How External Devices Breach Browser Sandboxes.
Leon Trampert, Lorenz Hetterich, Lukas Gerlach, Mona Schappert, Christian Rossow, Michael Schwarz
2025Personalized Denoising Implicit Feedback for Robust Recommender System.
Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng
2025Personalized Federated Recommendation for Cold-Start Users via Adaptive Knowledge Fusion.
Yichen Li, Yijing Shan, Yi Liu, Haozhao Wang, Wei Wang, Yi Wang, Ruixuan Li
2025Personalized Image Generation with Large Multimodal Models.
Yiyan Xu, Wenjie Wang, Yang Zhang, Biao Tang, Peng Yan, Fuli Feng, Xiangnan He
2025Pirates of Charity: Exploring Donation-based Abuses in Social Media Platforms.
Bhupendra Acharya, Dario Lazzaro, Antonio Emanuele Cinà, Thorsten Holz
2025Plug and Play: Enabling Pluggable Attribute Unlearning in Recommender Systems.
Xiaohua Feng, Yuyuan Li, Fengyuan Yu, Li Zhang, Chaochao Chen, Xiaolin Zheng
2025Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation.
Siyu Wang, Xiaocong Chen, Lina Yao
2025Polynomial Selection in Spectral Graph Neural Networks: An Error-Sum of Function Slices Approach.
Guoming Li, Jian Yang, Shangsong Liang, Dongsheng Luo
2025Pontus: A Memory-Efficient and High-Accuracy Approach for Persistence-Based Item Lookup in High-Velocity Data Streams.
Weihe Li, Zukai Li, Beyza Bütün, Alec F. Diallo, Marco Fiore, Paul Patras
2025Posted Price Mechanisms for Online Allocation with Diseconomies of Scale.
Hossein Nekouyan Jazi, Bo Sun, Raouf Boutaba, Xiaoqi Tan
2025Preserving Label Correlation for Multi-label Text Classification by Prototypical Regularizations.
Fanshuang Kong, Richong Zhang, Xiaohui Guo, Junfan Chen, Ziqiao Wang
2025Price Stability and Improved Buyer Utility with Presentation Design: A Theoretical Study of the Amazon Buy Box.
Ophir Friedler, Hu Fu, Anna R. Karlin, Ariana Tang
2025Privacy-Friendly Cross-Domain Recommendation via Distilling User-irrelevant Information.
Cheng Wang, Wenchao Xu, Haozhao Wang, Wei Liu, Ruixuan Li
2025Private Order Flows and Builder Bidding Dynamics: The Road to Monopoly in Ethereum's Block Building Market.
Shuzheng Wang, Yue Huang, Wenqin Zhang, Yuming Huang, Xuechao Wang, Jing Tang
2025Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025
Guodong Long, Michale Blumestein, Yi Chang, Liane Lewin-Eytan, Zi Helen Huang, Elad Yom-Tov
2025Procurement Auctions with Best and Final Offers.
Vasilis Gkatzelis, Randolph Preston McAfee, Renato Paes Leme
2025Provably Robust Federated Reinforcement Learning.
Minghong Fang, Xilong Wang, Neil Zhenqiang Gong
2025Quantitative Runtime Monitoring of Ethereum Transaction Attacks.
Xinyao Xu, Ziyu Mao, Jianzhong Su, Xingwei Lin, David A. Basin, Jun Sun, Jingyi Wang
2025Query Design for Crowdsourced Clustering: Effect of Cognitive Overload and Contextual Bias.
Yi Chen, Ramya Korlakai Vinayak
2025REACT: Residual-Adaptive Contextual Tuning for Fast Model Adaptation in Threat Detection.
Jiayun Zhang, Junshen Xu, Bugra Can, Yi Fan
2025Rankformer: A Graph Transformer for Recommendation based on Ranking Objective.
Sirui Chen, Shen Han, Jiawei Chen, Binbin Hu, Sheng Zhou, Gang Wang, Yan Feng, Chun Chen, Can Wang
2025Ranking Items by the Current-Preferences and Profits: A List-wise Learning-to-Rank Approach to Profit Maximization.
Hong-Kyun Bae, Hae-Ri Jang, Won-Yong Shin, Sang-Wook Kim
2025Ranking on Dynamic Graphs: An Effective and Robust Band-Pass Disentangled Approach.
Yingxuan Li, Yuanyuan Xu, Xuemin Lin, Wenjie Zhang, Ying Zhang
2025Reducing Symbiosis Bias through Better A/B Tests of Recommendation Algorithms.
Jennifer Brennan, Yahu Cong, Yiwei Yu, Lina Lin, Yajun Peng, Changping Meng, Ningren Han, Jean Pouget-Abadie, David M. Holtz
2025Reembedding and Reweighting are Needed for Tail Item Sequential Recommendation.
Zihao Li, Yakun Chen, Tong Zhang, Xianzhi Wang
2025Reinforcement-Learning Based Covert Social Influence Operations.
Saurabh Kumar, Valerio La Gatta, Andrea Pugliese, Andrew Pulver, V. S. Subrahmanian, Jiazhi Zhang, Youzhi Zhang
2025Relying on the Metrics of Evaluated Agents.
Serena Wang, Michael I. Jordan, Katrina Ligett, R. Preston McAfee
2025Responsible Diffusion Models via Constraining Text Embeddings within Safe Regions.
Zhiwen Li, Die Chen, Mingyuan Fan, Cen Chen, Yaliang Li, Yanhao Wang, Wenmeng Zhou
2025Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition.
Xinyi Gao, Guanhua Ye, Tong Chen, Wentao Zhang, Junliang Yu, Hongzhi Yin
2025Retrieval with Learned Similarities.
Bailu Ding, Jiaqi Zhai
2025Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain.
Yuanmin Huang, Mi Zhang, Zhaoxiang Wang, Wenxuan Li, Min Yang
2025Revisiting Dynamic Graph Clustering via Matrix Factorization.
Dongyuan Li, Satoshi Kosugi, Ying Zhang, Manabu Okumura, Feng Xia, Renhe Jiang
2025RiemannGFM: Learning a Graph Foundation Model from Riemannian Geometry.
Li Sun, Zhenhao Huang, Suyang Zhou, Qiqi Wan, Hao Peng, Philip S. Yu
2025Robust Aggregation with Adversarial Experts.
Yongkang Guo, Yuqing Kong
2025Robust Deep Signed Graph Clustering via Weak Balance Theory.
Peiyao Zhao, Xin Li, Zeyu Zhang, Mingzhong Wang, Xueying Zhu, Lejian Liao
2025Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification.
Jiayi Luo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Jianxin Li
2025Roles of Network and Identity in Hashtag Diffusion.
Aparna Ananthasubramaniam, Yufei 'Louise' Zhu, David Jurgens, Daniel M. Romero
2025Rumor Detection on Social Media with Reinforcement Learning-based Key Propagation Graph Generator.
Yusong Zhang, Kun Xie, Xingyi Zhang, Xiangyu Dong, Sibo Wang
2025SAHSD: Enhancing Hate Speech Detection in LLM-Powered Web Applications via Sentiment Analysis and Few-Shot Learning.
Yulong Wang, Hong Li, Ni Wei
2025SAMGPT: Text-free Graph Foundation Model for Multi-domain Pre-training and Cross-domain Adaptation.
Xingtong Yu, Zechuan Gong, Chang Zhou, Yuan Fang, Hui Zhang
2025SANS: Efficient Densest Subgraph Discovery over Relational Graphs without Materialization.
Yudong Niu, Yuchen Li, Jiaxin Jiang, Laks V. S. Lakshmanan
2025SCOOT: SLO-Oriented Performance Tuning for LLM Inference Engines.
Ke Cheng, Zhi Wang, Wen Hu, Tiannuo Yang, Jianguo Li, Sheng Zhang
2025SEHG: Bridging Interpretability and Prediction in Self-Explainable Heterogeneous Graph Neural Networks.
Zhenhua Huang, Wenhao Zhou, Yufeng Li, Xiuyang Wu, Chengpei Xu, Junfeng Fang, Zhaohong Jia, Linyuan Lü, Feng Xia
2025SPEAR: A Structure-Preserving Manipulation Method for Graph Backdoor Attacks.
Yuanhao Ding, Yang Liu, Yugang Ji, Weigao Wen, Qing He, Xiang Ao
2025SPRec: Self-Play to Debias LLM-based Recommendation.
Chongming Gao, Ruijun Chen, Shuai Yuan, Kexin Huang, Yuanqing Yu, Xiangnan He
2025STGAN: Detecting Host Threats via Fusion of Spatial-Temporal Features in Host Provenance Graphs.
Anyuan Sang, Xuezheng Fan, Li Yang, Yuchen Wang, Lu Zhou, Junbo Jia, Huipeng Yang
2025STKOpt: Automated Spatio-Temporal Knowledge Optimization for Traffic Prediction.
Yayao Hong, Liyue Chen, Leye Wang, Xiuhuai Xie, Guofeng Luo, Cheng Wang, Longbiao Chen
2025Safeguarding Blockchain Ecosystem: Understanding and Detecting Attack Transactions on Cross-chain Bridges.
Jiajing Wu, Kaixin Lin, Dan Lin, Bozhao Zhang, Zhiying Wu, Jianzhong Su
2025Scalable Algorithms for Forest-Based Centrality on Large Graphs.
Yubo Sun, Haoxin Sun, Zhongzhi Zhang
2025Scenario-independent Uncertainty Estimation for LLM-based Question Answering via Factor Analysis.
Zhihua Wen, Zhizhao Liu, Zhiliang Tian, Shilong Pan, Zhen Huang, Dongsheng Li, Minlie Huang
2025Seed: Bridging Sequence and Diffusion Models for Road Trajectory Generation.
Xuan Rao, Shuo Shang, Renhe Jiang, Peng Han, Lisi Chen
2025Self-Calibrated Listwise Reranking with Large Language Models.
Ruiyang Ren, Yuhao Wang, Kun Zhou, Wayne Xin Zhao, Wenjie Wang, Jing Liu, Ji-Rong Wen, Tat-Seng Chua
2025Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Model.
Jie Ren, Kangrui Chen, Chen Chen, Vikash Sehwag, Yue Xing, Jiliang Tang, Lingjuan Lyu
2025Semantics-Aware Cookie Purpose Compliance.
Baiqi Chen, Jiawei Lyu, Tingmin Wu, Mohan Baruwal Chhetri, Guangdong Bai
2025Semi-Supervised Anomaly Detection through Denoising-Aware Contrastive Distance Learning.
Jianling Gao, Chongyang Tao, Zhenchao Sun, Xiya Jiang, Shuai Ma
2025Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization.
Yankai Chen, Taotao Wang, Yixiang Fang, Yunyu Xiao
2025Serial Scammers and Attack of the Clones: How Scammers Coordinate Multiple Rug Pulls on Decentralized Exchanges.
Phuong Duy Huynh, Son Hoang Dau, Nicholas Huppert, Joshua Cervenjak, Hoonie Sun, Hong Yen Tran, Xiaodong Li, Emanuele Viterbo
2025ShapeShifter: Workload-Aware Adaptive Evolving Index Structures Based on Learned Models.
Hui Wang, Xin Wang, Jiake Ge, Lei Liang, Peng Yi
2025SheetAgent: Towards a Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models.
Yibin Chen, Yifu Yuan, Zeyu Zhang, Yan Zheng, Jinyi Liu, Fei Ni, Jianye Hao, Hangyu Mao, Fuzheng Zhang
2025Sherlock: Towards Multi-scene Video Abnormal Event Extraction and Localization via a Global-local Spatial-sensitive LLM.
Junxiao Ma, Jingjing Wang, Jiamin Luo, Peiying Yu, Guodong Zhou
2025SigScope: Detecting and Understanding Off-Chain Message Signing-related Vulnerabilities in Decentralized Applications.
Sajad Meisami, Hugo Dabadie, Song Li, Yuzhe Tang, Yue Duan
2025SimEdge: A Scalable Transitivity-Aware Graph-Theoretic Similarity Model for Capturing Edge-to-Edge Relationships.
Weiren Yu
2025Simulating Question-answering Correctness with a Conditional Diffusion.
Ting Long, Li'ang Yin, Yi Chang, Wei Xia, Yong Yu
2025Sketching Very Large-scale Dynamic Attributed Networks More Practically.
Wei Wu, Shiqi Li, Ling Chen, Fangfang Li, Chuan Luo
2025SmoothGNN: Smoothing-aware GNN for Unsupervised Node Anomaly Detection.
Xiangyu Dong, Xingyi Zhang, Yanni Sun, Lei Chen, Mingxuan Yuan, Sibo Wang
2025Social Bots Meet Large Language Model: Political Bias and Social Learning Inspired Mitigation Strategies.
Jinghua Piao, Zhihong Lu, Chen Gao, Yong Li
2025Spache: Accelerating Ubiquitous Web Browsing via Schedule-Driven Space Caching.
Qi Zhang, Qian Wu, Zeqi Lai, Jihao Li, Hewu Li, Yuyu Liu, Yuanjie Li, Jun Liu
2025Spatial-Temporal Analysis of Collective Emotional Resonance in China During Global Health Crisis.
Limiao Zhang, Xinyang Qi, Haiping Ma, Jie Gao, Xingyi Zhang, Yanqing Hu, Yaochu Jin
2025Spherical Embeddings for Atomic Relation Projection Reaching Complex Logical Query Answering.
Chau D. M. Nguyen, Tim French, Michael Stewart, Melinda Hodkiewicz, Wei Liu
2025Str-GCL: Structural Commonsense Driven Graph Contrastive Learning.
Dongxiao He, Yongqi Huang, Jitao Zhao, Xiaobao Wang, Zhen Wang
2025Strong Equilibria in Bayesian Games with Bounded Group Size.
Qishen Han, Grant Schoenebeck, Biaoshuai Tao, Lirong Xia
2025Subgraph Federated Unlearning.
Fan Liu, Hao Liu
2025Subgraph-Aware Training of Language Models for Knowledge Graph Completion Using Structure-Aware Contrastive Learning.
Youmin Ko, Hyemin Yang, Taeuk Kim, Hyunjoon Kim
2025SuiGPT MAD: Move AI Decompiler to Improve Transparency and Auditability on Non-Open-Source Blockchain Smart Contract.
Eason Chen, Xinyi Tang, Zimo Xiao, Chuangji Li, Shizhuo Li, Tingguan Wu, Siyun Wang, Kostas Kryptos Chalkias
2025Supernotes: Driving Consensus in Crowd-Sourced Fact-Checking.
Soham De, Michiel A. Bakker, Jay Baxter, Martin Saveski
2025Surprisingly Popular Voting with Concentric Rank-Order Models.
Hadi Hosseini, Debmalya Mandal, Amrit Puhan
2025SymAgent: A Neural-Symbolic Self-Learning Agent Framework for Complex Reasoning over Knowledge Graphs.
Ben Liu, Jihai Zhang, Fangquan Lin, Cheng Yang, Min Peng, Wotao Yin
2025Synergizing Large Language Models and Knowledge-Based Reasoning for Interpretable Feature Engineering.
Mohamed Bouadi, Arta Alavi, Salima Benbernou, Mourad Ouziri
2025TAPE: Tailored Posterior Difference for Auditing of Machine Unlearning.
Weiqi Wang, Zhiyi Tian, An Liu, Shui Yu
2025TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation.
Jiaqing Zhang, Mingjia Yin, Hao Wang, Yawen Li, Yuyang Ye, Xingyu Lou, Junping Du, Enhong Chen
2025TEARS: Text Representations for Scrutable Recommendations.
Emiliano Penaloza, Olivier Gouvert, Haolun Wu, Laurent Charlin
2025TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision.
Yunyi Zhang, Ruozhen Yang, Xueqiang Xu, Rui Li, Jinfeng Xiao, Jiaming Shen, Jiawei Han
2025TESA: A Trajectory and Semantic-aware Dynamic Heterogeneous Graph Neural Network.
Xin Wang, Jiawei Jiang, Xiao Yan, Qiang Huang
2025Tackling Sparse Facts for Temporal Knowledge Graph Completion.
Yuchao Zhang, Xiangjie Kong, Kailun Ye, Guojiang Shen, Shangfei Zheng
2025TensorJSFuzz: Effective Testing of Web-Based Deep Learning Frameworks via Input-Constraint Extraction.
Lili Quan, Xiaofei Xie, Qianyu Guo, Lingxiao Jiang, Sen Chen, Junjie Wang, Xiaohong Li
2025The AI Revolution in Time Series: Challenges and Opportunites.
Yan Liu
2025The Agenda-Setting Function of Social Media.
Rachel M. Kim, Ashton Anderson
2025The Cost of Balanced Training-Data Production in an Online Data Market.
Augustin Chaintreau, Roland Maio, Juba Ziani
2025The First Early Evidence of the Use of Browser Fingerprinting for Online Tracking.
Zengrui Liu, Jimmy Dani, Yinzhi Cao, Shujiang Wu, Nitesh Saxena
2025The Poorest Man in Babylon: A Longitudinal Study of Cryptocurrency Investment Scams.
Muhammad Muzammil, Abisheka Pitumpe, Xigao Li, Amir Rahmati, Nick Nikiforakis
2025Thematic-LM: A LLM-based Multi-agent System for Large-scale Thematic Analysis.
Tingrui Qiao, Caroline Walker, Chris Cunningham, Yun Sing Koh
2025Time-aware Medication Recommendation via Intervention of Dynamic Treatment Regimes.
Yishuo Li, Qi Zhang, Wenpeng Lu, Xueping Peng, Weiyu Zhang, Jiasheng Si, Yongshun Gong, Liang Hu
2025TimeChain: A Secure and Decentralized Off-chain Storage System for IoT Time Series Data.
Yixiao Teng, Jiamei Lv, Ziping Wang, Yi Gao, Wei Dong
2025Tool Learning in the Wild: Empowering Language Models as Automatic Tool Agents.
Zhengliang Shi, Shen Gao, Lingyong Yan, Yue Feng, Xiuyi Chen, Zhumin Chen, Dawei Yin, Suzan Verberne, Zhaochun Ren
2025TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy.
Yiqun Chen, Qi Liu, Yi Zhang, Weiwei Sun, Xinyu Ma, Wei Yang, Daiting Shi, Jiaxin Mao, Dawei Yin
2025Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach.
Xunkai Li, Daohan Su, Zhengyu Wu, Guang Zeng, Hongchao Qin, Rong-Hua Li, Guoren Wang
2025Towards Collaborative Anti-Money Laundering Among Financial Institutions.
Zhihua Tian, Yuan Ding, Xiang Yu, Enchao Gong, Jian Liu, Kui Ren
2025Towards Efficient Conversational Recommendations: Expected Value of Information Meets Bandit Learning.
Zhuohua Li, Maoli Liu, Xiangxiang Dai, John C. S. Lui
2025Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification.
Wei Fan, Jingru Fei, Dingyu Guo, Kun Yi, Xiaozhuang Song, Haolong Xiang, Hangting Ye, Min Li
2025Towards Multimodal Empathetic Response Generation: A Rich Text-Speech-Vision Avatar-based Benchmark.
Han Zhang, Zixiang Meng, Meng Luo, Hong Han, Lizi Liao, Erik Cambria, Hao Fei
2025Towards Multimodal Inductive Learning: Adaptively Embedding MMKG via Prototypes.
Shundong Yang, Jing Yang, Xiaowen Jiang, Yuan Gao, Laurence T. Yang, Ruikun Luo, Jieming Yang
2025Towards Safe Machine Unlearning: A Paradigm that Mitigates Performance Degradation.
Shanshan Ye, Jie Lu, Guangquan Zhang
2025Towards an Inclusive Mobile Web: A Dataset and Framework for Focusability in UI Accessibility.
Ming Gu, Lei Pei, Sheng Zhou, Ming Shen, Yuxuan Wu, Zirui Gao, Ziwei Wang, Shuo Shan, Wei Jiang, Yong Li, Jiajun Bu
2025Traceback of Poisoning Attacks to Retrieval-Augmented Generation.
Baolei Zhang, Haoran Xin, Minghong Fang, Zhuqing Liu, Biao Yi, Tong Li, Zheli Liu
2025Training-free Graph Anomaly Detection: A Simple Approach via Singular Value Decomposition.
Cheng Zhou, Guangxia Li, Hao Weng, Yiyu Xiang
2025TransBox:
Hui Yang, Jiaoyan Chen, Uli Sattler
2025Transfer Rule Learning over Large Knowledge Graphs.
Hong Liu, Zhe Wang, Kewen Wang, Xiaowang Zhang, Zhiyong Feng
2025TriG-NER: Triplet-Grid Framework for Discontinuous Named Entity Recognition.
Rina Carines Cabral, Soyeon Caren Han, Areej Alhassan, Riza Batista-Navarro, Goran Nenadic, Josiah Poon
2025Triangle Matters! TopDyG: Topology-aware Transformer for Link Prediction on Dynamic Graphs.
Xin Zhang, Fei Cai, Jianming Zheng, Zhiqiang Pan, Wanyu Chen, Honghui Chen, Chonghao Chen
2025Two-stage Auction Design in Online Advertising.
Zhikang Fan, Lan Hu, Ruirui Wang, Zhongrui Ma, Yue Wang, Qi Ye, Weiran Shen
2025UICopilot: Automating UI Synthesis via Hierarchical Code Generation from Webpage Designs.
Yi Gui, Yao Wan, Zhen Li, Zhongyi Zhang, Dongping Chen, Hongyu Zhang, Yi Su, Bohua Chen, Xing Zhou, Wenbin Jiang, Xiangliang Zhang
2025Uncertainty Quantification and Decomposition for LLM-based Recommendation.
Wonbin Kweon, Sanghwan Jang, SeongKu Kang, Hwanjo Yu
2025Uncertainty-Aware Graph Structure Learning.
Shen Han, Zhiyao Zhou, Jiawei Chen, Zhezheng Hao, Sheng Zhou, Gang Wang, Yan Feng, Chun Chen, Can Wang
2025Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation.
Guanting Dong, Yutao Zhu, Chenghao Zhang, Zechen Wang, Ji-Rong Wen, Zhicheng Dou
2025Understanding and Detecting File Knowledge Leakage in GPT App Ecosystem.
Chuan Yan, Bowei Guan, Yazhi Li, Mark Huasong Meng, Liuhuo Wan, Guangdong Bai
2025Understanding and Scaling Collaborative Filtering Optimization from the Perspective of Matrix Rank.
Donald Loveland, Xinyi Wu, Tong Zhao, Danai Koutra, Neil Shah, Mingxuan Ju
2025UniDEC : Unified Dual Encoder and Classifier Training for Extreme Multi-Label Classification.
Siddhant Kharbanda, Devaansh Gupta, Gururaj K, Pankaj Malhotra, Amit Singh, Cho-Jui Hsieh, Rohit Babbar
2025UniGO: A Unified Graph Neural Network for Modeling Opinion Dynamics on Graphs.
Hao Li, Hao Jiang, Yuke Zheng, Hao Sun, Wenying Gong
2025UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs.
Yufei He, Yuan Sui, Xiaoxin He, Yue Liu, Yifei Sun, Bryan Hooi
2025Unified and Generalizable Reinforcement Learning for Facility Location Problems on Graphs.
Wenxuan Guo, Runzhong Wang, Yanyan Xu, Yaohui Jin
2025Unlearning Incentivizes Learning under Privacy Risk.
Qiyuan Wang, Ruiling Xu, Shibo He, Randall Berry, Meng Zhang
2025Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism.
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
2025Unleashing the Potential of Multi-Channel Fusion in Retrieval for Personalized Recommendations.
Junjie Huang, Jiarui Qin, Jianghao Lin, Ziming Feng, Weinan Zhang, Yong Yu
2025Unleashing the Potential of Two-Tower Models: Diffusion-Based Cross-Interaction for Large-Scale Matching.
Yihan Wang, Fei Xiong, Zhexin Han, Qi Song, Kaiqiao Zhan, Ben Wang
2025Unleashing the Power of Large Language Model for Denoising Recommendation.
Shuyao Wang, Zhi Zheng, Yongduo Sui, Hui Xiong
2025Unmasking Gender Bias in Recommendation Systems and Enhancing Category-Aware Fairness.
Tahsin Alamgir Kheya, Mohamed Reda Bouadjenek, Sunil Aryal
2025Unveiling Discrete Clues: Superior Healthcare Predictions for Rare Diseases.
Chuang Zhao, Hui Tang, Jiheng Zhang, Xiaomeng Li
2025Unveiling Network Performance in the Wild: An Ad-Driven Analysis of Mobile Download Speeds.
Miguel A. Bermejo-Agueda, Patricia Callejo, Rubén Cuevas, Ángel Cuevas, Ramakrishnan Durairajan, Reza Rejaie, Álvaro Mayol
2025Value Function Decomposition in Markov Recommendation Process.
Xiaobei Wang, Shuchang Liu, Qingpeng Cai, Xiang Li, Lantao Hu, Han Li, Guangming Xie
2025Virtual Stars, Real Fans: Understanding the VTuber Ecosystem.
Yiluo Wei, Gareth Tyson
2025WBSan: WebAssembly Bug Detection for Sanitization and Binary-Only Fuzzing.
Xiao Wu, Junzhou He, Liyan Huang, Cai Fu, Weihang Wang
2025WaSCR: A WebAssembly Instruction-Timing Side Channel Repairer.
Liyan Huang, Junzhou He, Chao Wang, Weihang Wang
2025WasmGuard: Enhancing Web Security through Robust Raw-Binary Detection of WebAssembly Malware.
Yuxia Sun, Huihong Chen, Zhixiao Fu, Wenjian Lv, Zitao Liu, Haolin Liu
2025WavePulse: Real-time Content Analytics of Radio Livestreams.
Govind Mittal, Sarthak Gupta, Shruti Wagle, Chirag Chopra, Anthony J. DeMattee, Nasir D. Memon, Mustaque Ahamad, Chinmay Hegde
2025WeInfer: Unleashing the Power of WebGPU on LLM Inference in Web Browsers.
Zhiyang Chen, Yun Ma, Haiyang Shen, Mugeng Liu
2025WebCode2M: A Real-World Dataset for Code Generation from Webpage Designs.
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
2025Welcome to the Dark Side: Analyzing the Revenue Flows of Fraud in the Online Ad Ecosystem.
Emmanouil Papadogiannakis, Nicolas Kourtellis, Panagiotis Papadopoulos, Evangelos P. Markatos
2025What's in Phishers: A Longitudinal Study of Security Configurations in Phishing Websites and Kits.
Kyungchan Lim, Kiho Lee, Fujiao Ji, Yonghwi Kwon, Hyoungshick Kim, Doowon Kim
2025What's in a Query: Polarity-Aware Distribution-Based Fair Ranking.
Aparna Balagopalan, Kai Wang, Olawale Salaudeen, Asia Biega, Marzyeh Ghassemi
2025When Large Vision Language Models Meet Multimodal Sequential Recommendation: An Empirical Study.
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
2025Worst-Case-Optimal Joins on Graphs with Topological Relations.
José Fuentes-Sepúlveda, Adrián Gómez-Brandón, Aidan Hogan, Ayleen Irribarra-Cortés, Gonzalo Navarro, Juan L. Reutter
2025X-ClusterLink: An Efficient Cross-Cluster Communication Framework in Multi-Kubernetes Clusters.
Pengbo Wang, Gongming Zhao, Yuantao Wu, Hongli Xu, Haibo Wang
2025You Can't Eat Your Cake and Have It Too: The Performance Degradation of LLMs with Jailbreak Defense.
Wuyuao Mai, Geng Hong, Pei Chen, Xudong Pan, Baojun Liu, Yuan Zhang, Haixin Duan, Min Yang
2025eBaaS: AIoT-Enabled eBike Battery-Swap as a Service for Last-Mile Delivery.
Donghui Ding, Zhao Li, Jiarun Zhang, Xuanwu Liu, Ji Zhang, Yuchen Li, Peng Cai, Jianxun Liu, Guodong Long
2025xMTF: A Formula-Free Model for Reinforcement-Learning-Based Multi-Task Fusion in Recommender Systems.
Yang Cao, Changhao Zhang, Xiaoshuang Chen, Kaiqiao Zhan, Ben Wang