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953 papers

YearTitle / Authors
2026'They've Stolen My GPL-Licensed Model!': Toward Standardized and Transparent Model Licensing.
Moming Duan, Rui Zhao, Linshan Jiang, Nigel Shadbolt, Bingsheng He
2026(Everything You Never Knew You Needed To Know About) Rank-Biased Measurement For Web Search.
Alistair Moffat
2026(Mis-)Informed Consent: Predatory Apps and the Exploitation of Populations with Limited Literacy.
Muhammad Muneeb Pervez, Muhammad Qasim Atiq Ullah, Ibrahim Ahmed Khan, Roshnik Rahat, Muhammad Fareed Zaffar, Rashid Tahir, Talal Rahwan, Yasir Zaki
2026A
Chenxu Du, Yang Liu, Xingtong Yu, Zhuoer Xu, Tianrui Li
2026A Creator-Aware Recommendation System for Content Platforms.
Wenjing Li, Jiang Rong, Yao Hu, Zhenzhe Zheng, Fan Wu
2026A Dual-Channel Contrastive Learning Framework for Anomaly Detection in Dynamic Graph Structures.
Runshuo Liu, Chao Li, Zhongying Zhao, Hui Zhou, Qingtian Zeng
2026A Fact-Checking Framework with Denoising Evidence Retrieval and LLM-Based Debate Verification.
Jun Yang, Yuhan Bai, Dandan Song, Zhijing Wu, Yuhang Tian
2026A Frequency-Aware Mixture of Heterogeneous Experts Framework for Knowledge Tracing.
Youheng Bai, Mingliang Hou, Teng Guo, Zitao Liu, Weiqi Luo
2026A Generative Contextual Comprehension Paradigm for Takeout Ranking Model.
Ziheng Ni, Congcong Liu, Cai Shang, Yiming Sun, Junjie Li, Zhiwei Fang, Guangpeng Chen, Li Jian, Zehua Zhang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao
2026A Graph Foundation Model for Unified Anomaly Detection.
Renda Han, Xiaobao Wang, Luzhi Wang, Wenxin Zhang, Guangzhen Yao, Hongxiang Liang
2026A Life?Cycle Assessment of the Hidden Environmental Cost of Selfies.
Tilen Hlis, Urska Butolen, Iztok Fister, Iztok Fister Jr.
2026A Long-term Value Prediction Framework In Video Ranking.
Huabin Chen, Xinao Wang, Huiping Chu, Keqin Xu, Chenhao Zhai, Chenyi Wang, Kai Meng, Yuning Jiang
2026A Reinforcement Learning Based Hyper-Parameter Generation System Guided by LLM-Powered Virtual Users.
Changlin Qiu, Bang Lin, Tao Zhang, Chengfu Huo
2026A Simplex Approach to Synthetic Knowledge Graph Generation.
Ana Alexandra Morim da Silva, Atul Bhopalsing Pundir, Michael Röder, Axel-Cyrille Ngonga Ngomo
2026A Structure-Agnostic Co-Tuning Framework for LLMs and SLMs in Cloud-Edge Systems.
Yuze Liu, Yunhan Wang, Tiehua Zhang, Zhishu Shen, Cheng Peng, Libing Wu, Feng Xia, Jiong Jin
2026A Unified Framework for Context-Aware and Relation-Aware Graph Retrieval-Augmented Generation.
Haoyang Zhong, Yifei Sun, Antong Zhang, Chunping Wang, Lei Chen, Yang Yang
2026A Unified Framework for Rule Learning: Integrating Commonsense Knowledge from LLMs with Structured Knowledge from Knowledge Graphs.
Qirui Hao, Kewei Cheng, Tongze Zhang, Hongyuan Liu, Junming Shao, Carl Yang
2026A Unified Graph Clustering Network.
Renda Han, Xiaobao Wang, Longbiao Wang, Wenxin Zhang, Ronghao Fu, Kaiming Wang, Zeyu Zhang, Kuntharrgyal Khysru
2026A Unified and Time-Efficient Multi-Agent Framework for Data Discovery.
Yunhao Xiao, Ying Wang, Michael Bewong, Selasi Kwashie, Xiaoxia Li, Zaiwen Feng
2026AC$
Kamal Berahmand, Saman Forouzandeh, Mehrnoush Mohammadi, Parham Moradi, Mahdi Jalili
2026AFE-Master: Enhancing LLM-Driven Autonomous Feature Engineering with Domain-Specific Language Parsing and Guided Local Search.
Hebin Liang, Jianye Hao, Jinyi Liu, Yi Ma, Zilin Cao, Jing Liang, Kun Shao, Zhaocheng Du, Fei Ni, Yifu Yuan, Yan Zheng
2026AHBid: An Adaptable Hierarchical Bidding Framework for Cross-Channel Advertising.
Xinxin Yang, Yangyang Tang, Yikun Zhou, Yaolei Liu, Yun Li, Bo Yang
2026AIMER: Affective Intention-guided Multimodal Emotion Reasoner for Visual Emotion Analysis in Social Media.
Yubeen Lee, Shinyu Park, Jiwon Park, Eunil Park
2026AMID: Model-Agnostic Dataset Distillation by Adversarial Mutual Information Minimization.
Aoqi Wu, Junming Liu, Yuwei Zhang, Weiquan Huang, Liang Hu, Yifan Yang, Qi Zhang, Jiaxing Miao, Yuhan Tang, Zhongyuan Lai
2026ARADD: An Automatic Real-World API Discovery and Deployment Framework for AI Guide Service in Baidu Map.
Fuling Wang, Le Zhang, Jingbo Zhou, Jindong Han, Ying Sun, Chuan Qin, Hengshu Zhu, Hui Xiong
2026ARCHER: Shooting Straight in Multimodal E-Commerce Search at Alibaba with Progressive Alignment.
Maolin Wang, Lang Fu, Jun Chu, Kai Guo, Chenjie Qin, Xinxin Wang, Siyu Wu, Wen Jiang, Xiangyu Zhao
2026ARuleCon: Agentic Security Rule Conversion.
Ming Xu, Hongtai Wang, Yanpei Guo, Zhengmin Yu, Weili Han, Hoon Wei Lim, Jin Song Dong, Jiaheng Zhang
2026ATGFB-MFF: Adaptive Text-Guided Fiber Bundle Feature Fusion with LLMs for Multimodal Sentiment Analysis and Emotion Recognition in Conversations.
Zhaowei Liu, Sheng Liu, Weiqing Yan, Peng Song, Yongchao Song, Rufei Gao
2026AWMA-MoE: Attention-Guided Watermark Adapter with MoE for Latent Diffusion Models.
Yicheng Huang, Xinyu Xiao, Jian Zhang, Shuhan Qi, Yulin Wu, Xuan Wang
2026Access Controlled Website Interaction for Agentic AI with Delegated Critical Tasks.
Sunyoung Kim, Hokeun Kim
2026Accurate Trajectory Recovery in Underserved Areas via Location Inference from Web Crowdsourced Data.
Tangwei Ye, Liang Hu, Zhongyuan Lai, Qi Zhang, Yiming Wu, Jiaxing Miao, Yijun Yang, Kun Yi
2026Accurate and Efficient Personalized Query Rewriting in Baidu Search.
Xu Chu, Angela Li, Jiaming Zhang, Wei Li, Zhijie Tan, Dawei Yin, Shuaiqiang Wang, Daiting Shi
2026Acting Flatterers via LLMs Sycophancy: Combating Clickbait with LLMs Opposing-Stance Reasoning.
Chaowei Zhang, Xiansheng Luo, Zewei Zhang, Yi Zhu, Jipeng Qiang, Longwei Wang
2026Activation Caching for Retrieval-Augmented Generation.
Shu Zhou, Yufei Song, Jinman Leng, Xin Wang, Tao Fan, Hao Wang
2026Active Retrieval-Augmented Generation with Conflict-Fused Uncertainty Quantification.
Tao Tang, Xiaodong Yue, Yufei Chen, Jie Shi, Shijie Ding
2026AdVersa: Adversarially-Robust and Practical Ad and Tracker Blocking in the Wild.
Chaejin Lim, Kiho Lee, Beomjin Jin, Heewon Baek, Hyoungshick Kim
2026AdaQE-CG: Adaptive Query Expansion for Web-Scale Generative AI Model and Data Card Generation.
Haoxuan Zhang, Ruochi Li, Zhenni Liang, Mehri Sattari, Phat Vo, Collin Qu, Ting Xiao, Junhua Ding, Yang Zhang, Haihua Chen
2026Adaptive Contrastive Learning in Sequential Recommendation based on Perturbation and Restoration Networks.
Yanbo Zhou, Bin Lü, Xu-Hua Yang, Xin-Li Xu, Boling Wang
2026Adaptive Graph Reweighting for Collaborative Filtering.
Yijun Sheng, Ximing Chen, Pui Ieng Lei, Yanyan Liu, Zhiguo Gong
2026Adaptive Location Hierarchy Learning for Long-Tailed Mobility Prediction.
Yu Wang, Junshu Dai, Yuchen Ying, Hanyang Yuan, Zunlei Feng, Tongya Zheng, Mingli Song
2026Adaptive Model and Strategy Routing for Cost-Efficient LLM Services.
Zhihong Pan, Kai Zhang, Yuze Zhao, Yupeng Han
2026Adaptive Multi-Interaction Web Semantic Graph Representation.
Feng Ding, Tingting Wang, Ruolin Li, Ying Jin, Junxiang Zhang, Shan Jin, Yicong Li, Xin Ye
2026Adaptive Task Balancing for Visual Instruction Tuning via Inter-Task Contribution and Intra-Task Difficulty.
Yanqi Dai, Yong Wang, Zebin You, Dong Jing, Xiangxiang Chu, Zhiwu Lu
2026Additively Competitive Secretaries.
Mohammad Mahdian, Jieming Mao, Enze Sun, Kangning Wang, Yifan Wang
2026Agent-Enhanced Heterogeneous Graph RAG for Academic Question Answering.
Runsong Jia, Mengjia Wu, Ying Ding, Jie Lu, Yi Zhang
2026AgentDR: Dynamic Recommendation with Implicit Item-Item Relations via LLM-based Agents.
Mingdai Yang, Nurendra Choudhary, Jiangshu Du, Edward W. Huang, Philip S. Yu, Karthik Subbian, Danai Koutra
2026AgentPRM: Process Reward Models for LLM Agents via Step-Wise Promise and Progress.
Zhiheng Xi, Chenyang Liao, Guanyu Li, Zhihao Zhang, Wenxiang Chen, Binghai Wang, Senjie Jin, Yuhao Zhou, Jian Guan, Wei Wu, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang
2026AgentSense: LLMs Empower Generalizable and Explainable Web-Based Participatory Urban Sensing.
Xusen Guo, Mingxing Peng, Xixuan Hao, Xingchen Zou, Qiongyan Wang, Sijie Ruan, Yuxuan Liang
2026AgenticShop: Benchmarking Agentic Product Curation for Personalized Web Shopping.
Sunghwan Kim, Ryang Heo, Yongsik Seo, Jinyoung Yeo, Dongha Lee
2026Aggregating Information and Preferences under Different Coordination Ability.
Qishen Han, Grant Schoenebeck, Biaoshuai Tao, Lirong Xia
2026AgriGPT-Omni: A Unified Speech-Vision-Text Framework for Multilingual Agricultural Intelligence.
Bo Yang, Lanfei Feng, Yunkui Chen, Yu Zhang, Jianyu Zhang, Xiao Xu, Nueraili Aierken, Shijian Li
2026AliBoostV2: CTR-Growth Balanced Boosting Framework in Billion-Scale Recommendation Platform.
Qijie Shen, Yuanchen Bei, Zihong Huang, Xixian Wang, Zhibo Xiao, Dimin Wang, Jialin Zhu, Yuning Jiang, Feiran Huang, Hao Chen
2026AlignCP: Noise-Aware Preference Alignment for LLMs via Confidence and Polarity Reweighting.
Chen Cheng, Hefei Xu, Le Wu
2026Aligning Multiple Knowledge Graphs in A Single Pass.
Yaming Yang, Zhe Wang, Ziyu Guan, Wei Zhao, Weigang Lu, Xinyan Huang, Jiangtao Cui, Xiaofei He
2026Aligning Query Rewriting with Human Cognition and Preference in E-Commerce Search.
Ruize Ou, Kai Wang, Jianzhi Shao, Tao Zhang, Chengfu Huo
2026All-but-one MMS Allocation for Chores.
Jiawei Qiu, Xiaowei Wu, Cong Zhang, Shengwei Zhou
2026Allocating Chores with Restricted Additive Costs: Achieving EFX, MMS, and Efficiency Simultaneously.
Zehan Lin, Xiaowei Wu, Shengwei Zhou
2026AlphaFree: Recommendation Free from Users, IDs, and GNNs.
Minseo Jeon, Junwoo Jung, Daewon Gwak, Jinhong Jung
2026Alzo: Auto-Tuning with Reinforcement Learning for DAG-based Blockchains.
Qiuyu Ding, Rongkai Zhang, Qinnan Zhang, Zhen Xiao, Jieyi Long, Mingchao Wan, Sen Liu, Jin Dong
2026Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification.
Xu Zhang, Peng Wang, Yichen Li, Wei Wang
2026An 8-Way Taxonomy for Multimodal Disinformation and Detection Benchmark.
Shuhan Cui, Ruimin Chu, Hanrui Wang, Patrick H. Chen, Ching-Chun Chang, Isao Echizen
2026An Improved Combinatorial Algorithm for Edge-Colored Clustering in Hypergraphs.
Seongjune Han, Nate Veldt
2026An LLM-Powered Cooperative Framework for Large-Scale Multi-Vehicle Navigation.
Yuping Zhou, Siqi Lai, Jindong Han, Hao Liu
2026Analysis of CEX-DEX Arbitrage Opportunities with Hidden Markov Models.
Bence Ladóczki
2026Anchor Drift No More: Hierarchical Consistency-Guided Prompt Distillation for Incomplete Multimodal Learning.
Ruiting Dai, Zesen Cai, Lisi Mo, Guiduo Duan, Keren Shi, Tao He
2026Anomaly Detection of Interaction Behaviors in Streaming Graphs.
Shuai Ren, Fan Zhang, Bolin Wang, Xiang Zhao, Zhihong Tian
2026Anonymous Linear Bandits for Multi-User Systems.
Mohammad Reza Badri, Hossein Esfandiari, Samira Hossein Ghorban, Alireza Rezaeimoghadam
2026Anti-Phishing Training (Still) Does Not Work: A Reproduction of Phishing Training Inefficacy Grounded in the NIST Phish Scale.
Andrew T. Rozema, James C. Davis
2026Are LLM Web Search Engines Sustainable? A Web-Measurement Study of Real-Time Fetching.
Abdur-Rahman Ibrahim Sayyid-Ali, Daanish Uddin Khan, Naveed Anwar Bhatti
2026Are LLMs Stable Formal Logic Translators in Logical Reasoning Across Linguistically Diversified Texts?
Qingchuan Li, Jiatong Li, Zirui Liu, Mingyue Cheng, Yitong Zhou, Yuting Zeng, Qi Liu, Tongxuan Liu
2026Audit?of?Audits for the Web: Bayesian Meta?Evaluation that Yields Interval?Valued, Threshold?Aligned Fairness Claims.
Dandan Liu, Aznul Qalid Md Sabri, Lihu Pan, Guangrui Fan
2026Auditing Textual Context in Sequence-Aware Explainable Recommendation.
Alejandro Ariza-Casabona, Maria Salamó, Ludovico Boratto
2026Augmenting Cross-View Geo-Localization with Spatial Semantics from Vision Foundation Models.
Ji Shen, Lixing Chen, Yang Bai, Zhongqi Miao, Zhe Qu, Pan Zhou, Jianhua Li
2026Auto-bidding under Return-on-Spend Constraints with Uncertainty Quantification.
Jiale Han, Chun Gan, Chengcheng Zhang, Jie He, Zhangang Lin, Ching Law, Xiaowu Dai
2026Automated Deterministic Auction Design with Objective Decomposition.
Zhijian Duan, Haoran Sun, Yichong Xia, Siqiang Wang, Zhilin Zhang, Chuan Yu, Jian Xu, Xiaotie Deng
2026Automated Model Selection for Multivariate Time Series Forecasting.
Xiaoxuan Fan, Jiaqi Sun, Xianjun Deng, Qiankun Zhang, Wei Xiang, Shenghao Liu, Lingzhi Yi
2026BANCO: Drift-Aware Batched Bandits for Adaptive Proximity Graph Pruning.
Jin Cheng, Xiangxiang Dai, Ningning Ding, John C. S. Lui, Jianwei Huang
2026BARouter: A Budget-adaptive Online Large Language Model Router Framework.
Lingkai Zu, Xiyue Peng, Xin Liu
2026BHGap: A Deep Iterative Prompting and Multi-stage Alignment Framework for Dynamic Facial Expression Recognition.
Yichi Zhang, Yunqi Han, Jiayue Ding, Liangyu Chen
2026BIND: A Bidirectionally Aligned Next-token Denoising Framework for Fast and Lightweight Deobfuscation of Harmful Web Text.
Jinwoo Jung, Misuk Kim
2026BIND: Enabling Continuous Transaction Processing During Account Migration in Sharded Blockchains.
Jiahao Qi, Dian Ding, Jie Li, Jiannong Cao, Yi-Chao Chen, Guangtao Xue, Shengyun Liu
2026BLEND: Balanced and Leaf-Enhanced Dual Fine-Tuning for Taxonomy Completion.
Pankaj, Dhruv Kumar, Vinayak Abrol, Vikram Goyal
2026Back to the Future: Look-ahead Augmentation and Parallel Self-Refinement for Time Series Forecasting.
Sunho Kim, Susik Yoon
2026BalDRO: A Distributionally Robust Optimization based Framework for Large Language Model Unlearning.
Pengyang Shao, Naixin Zhai, Lei Chen, Yonghui Yang, Fengbin Zhu, Xun Yang, Meng Wang
2026Balancing Privacy and Security of QNAME Minimisation.
Qinxin Li, Zhaohua Wang, Wenhao Wu, Zihan Li, YiMing Xia, Chuan Gao, Zhenyu Li
2026BanditLP: Large-Scale Stochastic Optimization for Personalized Recommendations.
Phuc Nguyen, Benjamin Zelditch, Joyce Chen, Rohit K. Patra, Changshuai Wei
2026Barter Exchange with Asymmetric Item Valuations.
Juan Luque, Sharmila Duppala, Michael J. Curry, John P. Dickerson, Aravind Srinivasan
2026Be Responsible in Your Answers! Monitoring Out-of-Domain Behaviors in Domain-Specific LLMs.
Boquan Li, Chenzhe Lou, Zhe Ren, Peixin Zhang, Zirui Fu, Jun Sun, Yaowen Zheng
2026BeeQoS: A Cloud-Native QoS System for Adaptive and Scalable Multi-Priority Bandwidth Guarantees.
Jinyao Liu, Si Wu, Haoyuan Ma, Chaoqun Li, Hongjing Yu, Dingyi Jia, Feng Li, Pengfei Hu
2026Belief-Driven Multi-Agent Collaboration via Approximate Perfect Bayesian Equilibrium for Social Simulation.
Weiwei Fang, Lin Li, Kaize Shi, Yu Yang, Jianwei Zhang
2026Bento: Fine-Grained Memory Isolation for COTS WebAssembly Binaries.
Oussama Draissi, Lucas Davi
2026Beyond Class Boundaries: Federated Visual Primitive Sharing with Text-Guided Adaptation.
Yongqiang Huang, Yingyu Chen, Tao Wang, Zexin Lu, Zerui Shao, Beibei Li, Yi Zhang
2026Beyond Denial-of-Service: The Puppeteer's Attack for Fine-Grained Control in Ranking-Based Federated Learning.
Zhihao Chen, Zirui Gong, Jianting Ning, Yanjun Zhang, Leo Yu Zhang
2026Beyond Detection: Autonomous Anomaly Remediation for MCP Against Tool Poisoning Attacks.
Zhiqiang Wang, Guanquan Shi, Yanting Wang, Yichao Gao, Hongsen Lang, Yunhao Yao, Haohua Du, Xiang-Yang Li
2026Beyond Factual Queries: A Novel Predictive Retrieval-Augmented Generation.
Debo Cheng, Jianfeng Deng, Qingfeng Chen, Jinyi Jie, Jiangzhang Gan
2026Beyond Isolated Clients: Integrating Graph-Based Embeddings into Event Sequence Models.
Harry Proshian, Nikita Severin, Sergey I. Nikolenko, Ivan Kireev, Andrey V. Savchenko, Ivan Sergeev, Maria Postnova, Ilya Makarov
2026Beyond Item-Level Prediction: Fine-Grained CVR Modeling with Price SKU in E-Commerce Recommendation.
Huiling Wu, Ao Zhang, Junwei Xu, Boya Du, Jialin Zhu, Yuning Jiang, Dakai Zhai
2026Beyond More Context: Retrieval Diversity Boosts Multi-Turn Intent Understanding.
Zhiming Lin, Canran Xiao, Kai Zhao
2026Beyond Patches: Superpixel Token-based Transformers for Attribute-Specific Fashion Retrieval.
Shuili Zhang, Hongzhang Mu, Wenyuan Zhang, Duohe Ma, Tingwen Liu
2026Beyond Playtesting: A Generative Multi-Agent Simulation System for Massively Multiplayer Online Games.
Ran Zhang, Kun Ouyang, Tiancheng Ma, Yida Yang, Dong Fang
2026Beyond Single Pass, Looping Through Time: KG-IRAG with Iterative Knowledge Retrieval.
Ruiyi Yang, Hao Xue, Imran Razzak, Flora D. Salim
2026Beyond Single view Decoding: Dual-view Map Inference from Trajectories via Primal-Dual Graphs Co-generation.
Wenyu Wu, Jiafan Liu, Jiali Mao
2026Beyond Single-Granularity Prompts: A Multi-Scale Chain-of-Thought Prompt Learning for Graph.
Ziyu Zheng, Yaming Yang, Ziyu Guan, Wei Zhao, Xinyan Huang, Weigang Lu
2026Beyond Words: Enhancing Desire, Emotion, and Sentiment Recognition with Non-Verbal Cues.
Wei Chen, Tongguan Wang, Feiyue Xue, Junkai Li, Hui Liu, Ying Sha
2026Beyond the Flat Sequence: Hierarchical and Preference-Aware Generative Recommendations.
Zerui Chen, Heng Chang, Tianying Liu, Chuantian Zhou, Yi Cao, Jiandong Ding, Ming Liu, Bing Qin
2026BiCare: Bi-Objective Set Similarity with Box Embeddings for Safe and Effective Healthcare Decision Support.
Guofang Ma, Pengxiang Zhan, Haoze Huang, Yanchao Tan
2026Bias Mitigation for Harmful Meme Detection using Front-door Adjustment.
Jiangfeng Zeng, Cheng Xiong, Xiao Ma, Jialin Qin
2026BiasEdit: A Training-Free Bias-Detect-and-Edit Framework for Learning Fair Visual Classifiers.
Jungwook Seo, Yoonsik Park, Changmin Lee, Sungyong Baik
2026BitHeteroNet: A Heterogeneous Network Benchmark for Enhanced Anomaly Detection in Bitcoin Transactions.
Zheng Gong, Shuheng Shen, Changhua Meng, Ying Sun
2026BlossomRec: Block-level Fused Sparse Attention Mechanism for Sequential Recommendations.
Mengyang Ma, Xiaopeng Li, Wanyu Wang, Zhaocheng Du, Jingtong Gao, Pengyue Jia, Yuyang Ye, Yiqi Wang, Yunpeng Weng, Weihong Luo, Xiao Han, Xiangyu Zhao
2026Boosting Large Language Models for Mental Manipulation Detection via Data Augmentation and Distillation.
Yuansheng Gao, Peng Gao, Han Bao, Bin Li, Jixiang Luo, Zonghui Wang, Wenzhi Chen
2026Bowling with ChatGPT: On the Evolving User Interactions with Conversational AI Systems.
Sai Keerthana Karnam, Abhisek Dash, Krishna P. Gummadi, Animesh Mukherjee, Ingmar Weber, Savvas Zannettou
2026Breaking Cross-modal Alignment in Embodied Intelligence: A Multimodal Adversarial Attack Framework for Vision-Language-Action Models.
Zhihui Zhao, Xiaorong Dong, Yaowen Zheng, Xiaohui Chen, Yimo Ren, Hangbei Cheng, Yongle Chen, Limin Sun
2026Breaking Semantic-Aware Watermarks via LLM-Guided Coherence-Preserving Semantic Injection.
Zheng Gao, Xiaoyu Li, Zhicheng Bao, Xiaoyan Feng, Jiaojiao Jiang
2026Breaking the Scalability Barrier in Constrained Graph-Based Networked Control via Decision-Focused Learning.
Zhaoxing Yang, Yuchen Guo, Wenlong Li, Guiyun Fan, Haiming Jin, Linghe Kong
2026Breaking the Single-Reference-Vector Barrier in Approximate Nearest Neighbor Search.
Jiadong Xie, Jeffrey Liang, Siyi Teng, Jeffrey Xu Yu, Yingfan Liu
2026Breath: Adaptive Protection Boundary in FEC Encoding for Mobile Real-Time Video Streaming.
Shiyang Huang, Gerui Lv, Yuankang Zhao, Jiaxing Zhang, Qingyue Tan, Congkai An, Huanhuan Zhang, Xinyi Zhang, Qinghua Wu, Zhenyu Li
2026Bridging Cognitive Neuroscience and Graph Intelligence: Hippocampus-Inspired Multi-View Hypergraph Learning for Web Finance Fraud.
Rongkun Cui, Nana Zhang, Kun Zhu, Qi Zhang
2026Bridging Expert Reasoning and LLM Detection: A Knowledge-Driven Framework for Malicious Packages.
Wenbo Guo, Shiwen Song, Jiaxun Guo, Zhengzi Xu, Chengwei Liu, Haoran Ou, Mengmeng Ge, Yang Liu
2026Bridging Explicit and Implicit Intent: Unified Interest Generative Method for Joint Search-Recommendation Modeling.
Dongliang Liao, Chenxing Wang, Yawen Zeng
2026Bridging Semantic Understanding and Popularity Bias with LLMs.
Renqiang Luo, Dong Zhang, Yupeng Gao, Wen Shi, Mingliang Hou, Jiaying Liu, Zhe Wang, Shuo Yu
2026Bridging Time and Domains: A Time-aware Framework for Cross-Domain Sequential Recommendation.
Zemu Liu, Zhida Qin, Pengzhan Zhou, Tianyu Huang, Gangyi Ding
2026Bridging Visual Dynamics and Narrative Reasoning: Multimodal Large Language Models for Short Drama Quality Assessment.
Qingyang Liu, Jiangtong Li, Zelin Peng, Shaobo Wang, Zhaohe Liao, Shuochen Chang, Bingjie Gao, Haonan Zhao, Mu Liu, Jidong Jiang, Li Niu
2026Bringing Reasoning to Generative Recommendation Through the Lens of Cascaded Ranking.
Xinyu Lin, Pengyuan Liu, Wenjie Wang, Yicheng Hu, Chen Xu, Fuli Feng, Qifan Wang, Tat-Seng Chua
2026Broken Promise: Differential Analysis of Functional Discrepancies Between WebAssembly and Native Binaries.
Xiao Wu, Alan Romano, Liyan Huang, Qiwen Yan, Cai Fu, Weihang Wang
2026Building AI-Driven Web Experiences at Scale.
Mounia Lalmas
2026Byte-token Enhanced Language Models for Temporal Point Processes Analysis.
Quyu Kong, Yixuan Zhang, Yang Liu, Panrong Tong, Enqi Liu, Feng Zhou
2026C
Kai Cheng, Zhengyu Zhang, Tong Wu, Huan Zhou, Xinggang Fan
2026C-HyPOD: Causal Hyperbolic Representation Learning with Prototype Orthogonal Disentanglement for Graph Out-of-Distribution Recommendation.
Jiahao Liang, Yutian Xiao, Haoran Yang, Zhiwen Yu, Jia-Nan Liu, Kaixiang Yang
2026CA-PFL: Client-adaptive Parameter-efficient Fine-tuning for Personalized Federated Learning.
Daixin Song, Hui Cai, Haojie Zhang, Biyun Sheng, Jian Zhou, Mang Ye, Fu Xiao
2026CASE: Conflict-assessed Knowledge-sensitive Neuron Tuning for Lifelong Model Editing.
Zhange Zhang, Yuqing Ma, Yulong Wang, Tianbo Wang, Jiakai Wang, Simin Li, Xianglong Liu
2026CC-OR-Net: A Unified Framework for LTV Prediction through Structural Decoupling.
Mingyu Zhao, Haoran Bai, Yu Tian, Bing Zhu, Hengliang Luo
2026CCAF: Coarse-to-fine Cross-Modal Alignment and Fusion for Multimodal Sentiment Analysis.
Xianbing Zhao, Shengzun Yang, Buzhou Tang
2026CCL-Diff: Representation-Consistent Diffusion with Intrinsic Contrastive Learning for Recommender Systems.
Lingyan Zhang, Wanyu Ling, Shuwen Daizhou, Li Kuang, Kehua Guo
2026CEAT: Context-Emotion Adversarial Training Framework for Robust Emotion-Driven Fraud Detection.
Chaoqun Li, Si Wu, Yijun Lu, Yuyin Ma, Jinyao Liu, Dingyi Jia, Mingda Han, Feng Li, Pengfei Hu
2026CFVBench: A Comprehensive Video Benchmark for Fine-grained Multimodal Retrieval-Augmented Generation.
Kaiwen Wei, Xiao Liu, Jie Zhang, Zijian Wang, Ruida Liu, Yuming Yang, Xin Xiao, Xiao Sun, Haoyang Zeng, Changzai Pan, Yidan Zhang, Jiang Zhong, Peijin Wang, Yingchao Feng
2026CGPT: Cluster-Guided Partial Tables with LLM-Generated Supervision for Table Retrieval.
Tsung-Hsiang Chou, Chen-Jui Yu, Shui-Hsiang Hsu, Yao-Chung Fan
2026CIDC: Cluster Identification-Guided Dual Correction for Robust Short Text Clustering.
Yuhua Zhao, Zhixin Han, Xuan Li, Peiyu Xu, Hang Gao, Mengting Hu, Tiegang Gao
2026CIFAD: Causal-Invariant Subspace Learning for Few-Shot Anomaly Detection on Dynamic Relational Graphs.
Yu Xiao, Haolong Xiang, Xiaolong Xu, Lianyong Qi, Xuyun Zhang, Wei Fan, Wanchun Dou
2026CLGNN: A Contrastive Learning-based GNN for Temporal Betweenness Prediction under Extreme Value Imbalance.
Tianming Zhang, Renbo Zhang, Zhengyi Yang, Yunjun Gao, Bin Cao, Jing Fan
2026COINS: Semantic Ids Enhanced Cold Item Representation for Click-through Rate Prediction in E-commerce Search.
Qihang Zhao, Zhongbo Sun, Xiaoyang Zheng, Xian Guo, Siyuan Wang, Zihan Liang, Mingcan Peng, Ben Chen, Chenyi Lei
2026COMA: A Collaborative Multi-Role Agent Framework for Automated Lesson Plan Generation.
Xiaoli Zeng, Ying Zheng, Shuyan Huang, Zitao Liu, Mi Tian, Mingliang Hou, Jiaqi Zheng, Wenzhou Dou
2026Camel: Frame-Level Bandwidth Estimation for Low-Latency Live Streaming under Video Bitrate Undershooting.
Liming Liu, Zhidong Jia, Li Jiang, Wei Zhang, Lan Xie, Feng Qian, Leju Yan, Bing Yan, Qiang Ma, Zhou Sha, Wei Yang, Yixuan Ban, Xinggong Zhang
2026Can LLMs Fool Graph Learning? Exploring Universal Adversarial Attacks on Text-Attributed Graphs.
Zihui Chen, Yuling Wang, Pengfei Jiao, Kai Wu, Xiao Wang, Xiang Ao, Dalin Zhang
2026Can Multimodal LLMs Perform Time Series Anomaly Detection?
Xiongxiao Xu, Haoran Wang, Yueqing Liang, Philip S. Yu, Yue Zhao, Kai Shu
2026CardRewriter: Leveraging Knowledge Cards for Long-Tail Query Rewriting on Short-Video Platforms.
Peiyuan Gong, Feiran Zhu, Yaqi Yin, Chenglei Dai, Chao Zhang, Kai Zheng, Wentian Bao, Jiaxin Mao, Yi Zhang
2026Cardinality is Not Enough: Super Host Detection via Segmented Cardinality Estimation.
Yilin Zhao, Jiawei Huang, Xianshi Su, Weihe Li, Xin Li, Yan Liu, Jiacheng Xie, Qichen Su, Jin Ye, Wanchun Jiang, Jianxin Wang
2026Cascaded Verification Framework: A Progressive Approach for Mitigating Hallucinations in Large Language Models.
Shu Zhou, Yufei Song, Jinman Leng, Xin Wang, Tao Fan, Hao Wang
2026Causal Pre-training Under the Fairness Lens: An Empirical Study of TabPFN.
Qinyi Liu, Mohammad Khalil, Naman Goel
2026CausalSKyHop: Knowledge-Aware Causal Explanation of Dynamic GNNs via Higher-Order Semantic Reasoning.
Jixuan Wu, Limei Lin, Xiaoding Wang, Kunpeng Xu, Jie Wu
2026Causality Enhancement for Cross-Domain Recommendation.
Zhibo Wu, Yunfan Wu, Lin Jiang, Ping Yang, Yao Hu
2026Causality Guided Representation Learning for Cross-Style Hate Speech Detection.
Chengshuai Zhao, Shu Wan, Paras Sheth, Karan Patwa, K. Selçuk Candan, Huan Liu
2026Characterizing Iran's Phased National Internet Shutdown in 2025: A Progressive and Distributed Action.
Shibo Cui, Mingxuan Liu, Baojun Liu, Haixin Duan, Ruixuan Li, Chaoyi Lu, Jin Zhang, Zhicheng Wang, Jinghua Bai
2026CitiLink-Summ: A Dataset of Discussion Subjects Summaries in European Portuguese Municipal Meeting Minutes.
Miguel Marques, Ana Luísa Fernandes, Ana Filipa Pacheco, Rute Rebouças, Inês Cantante, José Isidro, Luís Filipe Cunha, Alípio Jorge, Nuno Guimarães, Sérgio Nunes, António Leal, Purificação Silvano, Ricardo Campos
2026CityVerse: A Unified Data Framework for Evaluating Large Language Models in Urban Computing.
Yaqiao Zhu, Hongkai Wen, Mark H. Birkin, Man Luo
2026Class-Domain Incremental Learning on Graphs via Disentangled Knowledge Distillation.
Qin Tian, Chen Zhao, Xintao Wu, Dong Li, Minglai Shao, Xujiang Zhao, Wenjun Wang
2026CoLOR-DP: Conjugate Low-Rank Differential Privacy for Structure-Aware LoRA Fine-Tuning.
Kai Zhang, Yuxuan Xu, Wenxiang Lin, Chaoqun Hong, Pei-Wei Tsai, Xin Yuan, Minhui Xue
2026Coarse-Fine: A Novel VPA Strategy for Boosting Resource Utilization of Transient Offline Tasks.
Yingying Wen, Yingzhi Chu, Zhongyu Wang, Zhecheng Lin, Fan Jiang, Wu Xiang, Rui Shi
2026CogAgent: Self-Evolving Cognitive Agents for Multi-Source Fraud Detection in Heterogeneous Financial Networks.
Qianyu Wang, Weiyou Tian, Rong Wang, Wei-Tek Tsai, Tianyu Shi, Zhuang Liu, Tianze Xia
2026Collaborative Subgraph Learning based Spectrum Sensing under Partial Observations.
Zhaowei Liu, Chang Liu, Dong Yang, Weiqing Yan, Yongchao Song, Anzuo Jiang
2026Collusion-Aware Set-level Learning Framework for Detecting Spamming Activities.
Yuli Liu
2026ColorBench: Benchmarking Mobile Agents with Graph-Structured Framework for Complex Long-Horizon Tasks.
Yuanyi Song, Heyuan Huang, Qiqiang Lin, Yin Zhao, Xiangmou Qu, Jun Wang, Xingyu Lou, Weiwen Liu, Zhuosheng Zhang, Jun Wang, Zhaoxiang Wang, Yong Yu, Weinan Zhang
2026Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework.
Zhaoqi Wang, Daqing He, Zijian Zhang, Ye Liu, Jiamou Liu, Zhirui Zeng, Zhan Qin, Zhen Li, Xin Li, Hongwei Yao, Jincheng An, Yong Liu, Yi Li, Qi Sun, Xiulei Liu, Liehuang Zhu
2026Communication-Efficient Federated Learning for Post-Flood Risk Assessment Using UAV Swarms.
Yongkang Zhao, Hailin Feng, Tingting Wang, Thippa Reddy Gadekallu, Kai Fang, Wei Wang
2026Community Fact-Checks Do Not Break Follower Loyalty.
Michelle Bobek, Nicolas Pröllochs
2026CompTox Ontology: Leveraging Knowledge Graphs for PFAS Monitoring and Decision-Making.
Yinglun Zhang, Sonia Moavenzadeh, Jarrar Amjad, Onur Apul, Adrita Barua, Fatih Evrendilek, Torsten Hahmann, Ganga Hettiarachchi, Pascal Hitzler, David K. Kedrowski, Vasu Kilaru, Prayas Lashkari, Katrina Schweikert, Antony J. Williams, Hande McGinty
2026CompactRAG: Reducing LLM Calls and Token Overhead in Multi-Hop Question Answering.
Hao Yang, Zhiyu Yang, Xupeng Zhang, Wei Wei, Yunjie Zhang, Lin Yang
2026Concept Relationship Embedding-Based Interactive Web Application for Explainable Medical Diagnosis.
Lei Zhao, Xingguo Lv, Qika Lin, Kaize Shi, Xiaoming Qi, Bin Pu, Kenli Li
2026Concordia: Enabling Low-Conflict Distributed Transaction Scheduling in Sharding Blockchain via Cooperative Perception.
Yanxiu Liu, Linpeng Jia, Xiaohu Yang, Zhongcheng Li, Yi Sun
2026Conditional Diffusion Guided Knowledge Transfer for Multi-Domain Knowledge Graph Completion.
Jiawei Sheng, Taoyu Su, Xixun Lin, Xiaodong Li, Tingwen Liu
2026Conditional Information Extraction with Diffusion Model on Fact-Condition Star Graph.
Yunxiao Yang, Jianting Chen, Xiaoying Gao, Zaiyuan Di, Yang Xiang
2026Conflict-Aware RAG: Multi-Stage Learning with Conflict Signals for Robust Retrieval-Augmented Generation.
Haiyan Wu, Chenchen Wang, Chaoqun Sun, Chengxiong Lu, Zhiqiang Zhang, Yanhong Chen
2026Consensus Stability of Community Notes on X.
Yuwei Chuai, Gabriele Lenzini, Nicolas Pröllochs
2026Contextual Structure-Enhanced Selective Graph Convolutional Network.
Shifei Ding, Fangchen Li, Lili Guo, Jian Zhang
2026ContiGuard: A Framework for Continual Toxicity Detection Against Evolving Evasive Perturbations.
Hankun Kang, Xin Miao, Jianhao Chen, Jintao Wen, Mayi Xu, Weiyu Zhang, Wenpeng Lu, Tieyun Qian
2026Controllable Graph Generation with Diffusion Models via Inference-Time Tree Search Guidance.
Jiachi Zhao, Zehong Wang, Yamei Liao, Chuxu Zhang, Yanfang Ye
2026Cost Ratio Aware Algorithm for Representative Subset Selection.
Tong Cheng, Xueyan Tang
2026Cost-Aware Retrieval-Augmentation Reasoning Models with Adaptive Retrieval Depth.
Helia Hashemi, Victor Rühle, Saravan Rajmohan
2026Counterfactual Augmented Causal Reasoning for Aspect-Based Sentiment Analysis.
Yiming Wu, Liang Hu, Mingzhu Zhou, Tangwei Ye, Xuejie Yang, Xun Yang, Zhongyuan Lai, Qi Zhang, Usman Naseem
2026Counterfactual Meta-task Augmentation for Few-shot Graph Node Classification.
Zhiqiang Wang, Jiaxin Zhang, Chenchao Zhang, Shiying Cheng, Jianqing Liang, Peng Song
2026Credit and Power Co-evolution Modeling with Dynamic Graph Learning.
Wenhao Ying, Peng Zhu, Mingzhe Li, Ziyan Wang, Dawei Cheng
2026Cross-Domain Fake News Detection on Unseen Domains via LLM-Based Domain-Aware User Modeling.
Xuankai Yang, Yan Wang, Jiajie Zhu, Pengfei Ding, Hongyang Liu, Xiuzhen Zhang, Huan Liu
2026Cross-Modal Rationale Transfer for Explainable Humanitarian Classification on Social Media.
Thi Huyen Nguyen, Koustav Rudra, Wolfgang Nejdl
2026Cross-Platform Narrative Prediction: Leveraging Platform-Invariant Discourse Networks.
Patrick Gerard, Luca Luceri, Leonardo Blas, Emilio Ferrara
2026Cross-Type Semantic Alignment for Multi-Type Anomaly Detection in Heterogeneous Graphs.
Di Jin, Xiao Huang, Xiaobao Wang, Fengyu Yan, Luzhi Wang, Hongxiang Liang
2026Cross-city Time Series Forecasting with Retrieval-Augmented Large Language Models.
Yue Jiang, Chenxi Liu, Yile Chen, Qin Chao, Shuai Liu, Cheng Long, Gao Cong
2026Curiosity Driven Knowledge Retrieval for Mobile Agents.
Sijia Li, Xiaoyu Tan, Shahir Ali, Niels Schmidt, Gengchen Ma, Xihe Qiu
2026CytoCrowd: A Multi-Annotator Benchmark Dataset for Cytology Image Analysis.
Yonghao Si, Xingyuan Zeng, Zhao Chen, Libin Zheng, Caleb Chen Cao, Lei Chen, Jian Yin
2026D-Models and E-Models: Diversity-Stability Trade-offs in the Sampling Behavior of Large Language Models.
Jia Gu, Liang Pang, Huawei Shen, Xueqi Cheng
2026DA-RAG: Dynamic Attributed Community Search for Retrieval-Augmented Generation.
Xingyuan Zeng, Zuohan Wu, Yue Wang, Chen Zhang, Quanming Yao, Libin Zheng, Jian Yin
2026DAPWeb: Construct-Aligned Evaluation of MLLMs for Web-Based Child Mental Screening.
Rui Guo, Fengyi Wang, Ling-Yu Lin, Guolong Wang
2026DARA: Few-shot Budget Allocation in Online Advertising via In-Context Decision Making with RL-Finetuned LLMs.
Mingxuan Song, Yusen Huo, Bohan Zhou, Shenglin Yin, Zhen Xiao, Jieyi Long, Zhilin Zhang, Chuan Yu
2026DG-MCTS: Dual-Guidance Monte Carlo Tree Search for Adaptive Emotional Support Dialogue Planning.
Benshuo Lin, Jiayu Ding, Yuelei Li, Peng Wu, Yun Xue, Yiping Song
2026DIARY: Differentially Private Recovery with Adaptive Privacy Budgets in Federated Unlearning.
Hengzhi Wang, Lu Dai, Xianliang Zhang, Haoran Chen, Juncheng Hu, Kun Yang
2026DMAP: Human-Aligned Structural Document Map for Multimodal Document Understanding.
Shunliang Fu, Yanxin Zhang, Yixin Xiang, Xiaoyu Du, Jinhui Tang
2026DOS: Dual-Flow Orthogonal Semantic IDs for Recommendation in Meituan.
Junwei Yin, Senjie Kou, Changhao Li, Shuli Wang, Yinqiu Huang, Xue Wei, Yinhua Zhu, Haitao Wang, Xingxing Wang
2026DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes.
Jialun Zheng, Jie Liu, Jiannong Cao, Xiao Wang, Hanchen Yang, Yankai Chen
2026DREAMS: A Social Exchange Theory-Informed Modeling of Misinformation Engagement on Social Media.
Lin Tian, Marian-Andrei Rizoiu
2026DRGW: Learning Disentangled Representations for Robust Graph Watermarking.
Jiasen Li, Yanwei Liu, Zhuoyi Shang, Xiaoyan Gu, Weiping Wang
2026DRMD: Explainable Depression Detection Based on Metaphorical Conceptual Mapping.
Dongyu Zhang, Wanqiu Liao, Weichen Hu, Hongfei Lin
2026DSSmoothing: Toward Certified Dataset Ownership Verification for Pre-trained Language Models via Dual-Space Smoothing.
Ting Qiao, Xing Liu, Wenke Huang, Jianbin Li, Zhaoxin Fan, Yiming Li
2026DSTAG: A Semantic Tag-Enhanced Dual-Graph Convolutional Network for Temporal Knowledge Graph Completion.
Yuchao Zhang, Xiangjie Kong, Kailun Ye, Shangfei Zheng, Guojiang Shen
2026DTRec: Learning Dynamic Reasoning Trajectories for Sequential Recommendation.
Yifan Shao, Peilin Zhou, Shoujin Wang, Weizhi Zhang, Sunghun Kim, Xu Cai
2026DTransKT: A Dual Transferable Knowledge Tracing Framework for Cross-Disciplinary Self-Adaptation.
Kun Liang, Jiake Ge, Xin Wang, Yiying Zhang
2026Data Degrades with Use.
Katrina Ligett
2026Data Pricing via Competitive Equilibrium.
Bhaskar Ray Chaudhury, Jugal Garg, Aniket Murhekar, Jiaxin Song
2026Data-Driven Function Calling Improvements in Large Language Model for Online Financial QA.
Xing Tang, Hao Chen, Shiwei Li, Fuyuan Lyu, Weijie Shi, Lingjie Li, Dugang Liu, Weihong Luo, Xiku Du, Xiuqiang He
2026Debating Truth: Debate-driven Claim Verification with Multiple Large Language Model Agents.
Haorui He, Yupeng Li, Dacheng Wen, Yang Chen, Reynold Cheng, Donglong Chen, Francis C. M. Lau
2026Decentralized in Name Only: The Centralization of DAO Labor.
Lingling Zhang, Morteza Zihayat, Ebrahim Bagheri
2026Decoding Web Memorization: A Semantic Membership Inference Attack on LLMs.
Zhiyao Wu, Zi Liang, Haibo Hu
2026DeepAgent: A General Reasoning Agent with Scalable Toolsets.
Xiaoxi Li, Wenxiang Jiao, Jiarui Jin, Guanting Dong, Jiajie Jin, Yinuo Wang, Hao Wang, Yutao Zhu, Ji-Rong Wen, Yuan Lu, Zhicheng Dou
2026DeepSVU: Towards In-depth Security-oriented Video Understanding via Unified Physical-world Regularized MoE.
Yujie Jin, Wenxin Zhang, Jingjing Wang, Guodong Zhou
2026DeepUL: Deep Unlearning via Model Sparsity.
Zhigao Zheng, Kai Yin, Yaowen Kuang, Tao Wang, Yahong Chen, Shihong Yao, Hao Huang
2026Deepfakes in the 2025 Canadian Election: Prevalence, Partisanship, and Platform Dynamics.
Victor Livernoche, Andreea Musulan, Zachary Yang, Jean-François Godbout, Reihaneh Rabbany
2026Delay-Aware Graph Neural Stochastic Differential Equations for Financial Time Series Modeling and Forecasting.
Mingjie You, Dawei Cheng, Meilin Zhang, Peng Zhu, Yuqi Liang
2026Delayed Feedback Modeling for Post-Click Gross Merchandise Volume Prediction: Benchmark, Insights and Approaches.
Xinyu Li, Sishuo Chen, Guipeng Xv, Li Zhang, Mingxuan Luo, Zhangming Chan, Xiang-Rong Sheng, Han Zhu, Jian Xu, Chen Lin
2026Detecting Miscitation on the Scholarly Web through LLM-Augmented Text-Rich Graph Learning.
Huidong Wu, Haojia Xiang, Jingtong Gao, Xiangyu Zhao, Dengsheng Wu, Jianping Li
2026Determinants and Effects of Buy Box Suppression on Amazon.
Jeffrey L. Gleason, Shuo Zhang, Christo Wilson
2026Deterring A Small Collusion is All You Need.
Yotam Gafni
2026DiSCoQR: Diffusion-Driven Semantic Compression for Robust Image Steganography in Standard QR Codes.
Lijing Ren, Denghui Zhang
2026DiffGRM: Diffusion-based Generative Recommendation Model.
Zhao Liu, Yichen Zhu, Yiqing Yang, Xiao Lv, Guoping Tang, Rui Huang, Qiang Luo, Ruiming Tang, Guorui Zhou
2026Difference-based Sample Selection for Federated Graph Rationalization.
Linan Yue, Weibo Gao
2026Differentially Private Anonymous Bandits for Multi-User Systems.
Mohammad Reza Badri, Hossein Esfandiari, Samira Hossein Ghorban, Alireza Rezaeimoghadam
2026Difficulty-Aware Agentic Orchestration for Query-Specific Multi-Agent Workflows.
Jinwei Su, Qizhen Lan, Yinghui Xia, Lifan Sun, Weiyou Tian, Tianyu Shi, Lewei He
2026Diffusion Generative Recommendation with Continuous Tokens.
Haohao Qu, Shanru Lin, Yujuan Ding, Yiqi Wang, Wenqi Fan
2026Diffusion-based Kriging Model with Graph-enhanced Attention.
Mingtao Zhang, Guoli Yang, Zhanxing Zhu, Guangyin Jin, Mengzhu Wang, Xiaoying Bai
2026DiffusionGS: Generative Search with Query Conditioned Diffusion in Kuaishou.
Qinyao Li, Xiaoyang Zheng, Qihang Zhao, Ke Xu, Zhongbo Sun, Chao Wang, Chenyi Lei, Han Li, Wenwu Ou
2026Digital Skin, Digital Bias: Uncovering Tone-Based Biases in LLMs and Emoji Embeddings.
Mingchen Li, Wajdi Aljedaani, Yingjie Liu, Navyasri Meka, Xuan Lu, Xinyue Ye, Junhua Ding, Yunhe Feng
2026Dir-GD: Directed Graph Distillation.
Ce Yang, Fei Hao, Jie Gao, Jianrui Chen, Jia Hu, Geyong Min
2026Discrete Diffusion-Based Model-Level Explanation of Heterogeneous GNNs with Node Features.
Pallabee Das, Stefan Heindorf
2026Disentangled Graph LLM for Molecule Graph Editing under Distribution Shifts.
Yang Yao, Xin Wang, Yuan Meng, Zeyang Zhang, Hong Mei, Wenwu Zhu
2026Distribution-Aligned Synthetic Text Generation via Tail-Aware Enhancement.
Yuan Fan, Xiaoyuan Liu, Bo Liu, Wubing Wang, Jia Sun, Wenzhi Chen, Huaikang Fang, Lifeng Tao, Fan Mo
2026Diversifying Differentiable Graph Retrieval with Topic-Adaptive Multi-Intent Learning.
Dongcheon Lee, Ji-Yeon Park, Hye-Yoon Baek, Jimyeung Seo, Seyeong Kim, Byungkook Oh
2026Diversity-Augmented Negative Sampling for Implicit Collaborative Filtering.
Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan
2026Do You Really Know What I Am Doing? Backdoor Attacks on Provenance-Based Intrusion Detection Systems.
Shaodi Xie, Wei Yuan, Haoyu Jiang, Zhu Gong, Haoran Wang, Heng Li, Tiejun Wu
2026Do You Trust Me? Cognitive-Affective Signatures of Trustworthiness in Large Language Models.
Gerard Christopher Yeo, Svetlana Churina, Kokil Jaidka
2026Doc-Researcher: A Unified System for Multimodal Document Parsing and Deep Research.
Kuicai Dong, Shurui Huang, Fangda Ye, Wei Han, Zhi Zhang, Dexun Li, Wenjun Li, Qu Yang, Gang Wang, Yichao Wang, Chen Zhang, Yong Liu
2026Does Ad-Free Mean Less Data Collection? An Empirical Study of Platform Data Practices and User Expectations.
Sepehr Mousavi, Abhisek Dash, Savvas Zannettou, Krishna P. Gummadi
2026Does LLM Focus on the Right Words? Mitigating Context Bias in LLM-based Recommenders.
Bohao Wang, Jiawei Chen, Feng Liu, Changwang Zhang, Jun Wang, Canghong Jin, Chun Chen, Can Wang
2026Does This Button Work? Investigating YouTube's Ineffective User Controls.
Jesse McCrosky, Ranadheer Malla, Aapo Tanskanen, Chico Q. Camargo
2026Doxing-as-a-Service: Demystifying the Chinese Online Doxing Ecosystem.
Yiran Gao, Pengcheng Xia, Liu Wang, Tianming Liu, Haoyu Wang
2026Drifting with Intent: Generative Interest Trajectories for Multimodal Web Recommendation.
Weilin Zhou, Hao Zhang, Guangxin Wu
2026DrunkAgent: Stealthy Memory Corruption in LLM-Powered Recommender Agents.
Shiyi Yang, Zhibo Hu, Xinshu Li, Chen Wang, Tong Yu, Xiwei Xu, Liming Zhu, Lina Yao
2026Dual History Enhancement with Hybrid Hypergraph-Graph Networks for Temporal Knowledge Graph Reasoning.
Kailun Ye, Xiangjie Kong, Yuchao Zhang, Xuan Wang, Linan Zhu, Jiaxin Du, Guojiang Shen, Jianxin Li
2026Dual-Branch Multi-Granularity Network with Structured Contrastive Ranking for Cross-Modal Retrieval.
Zihao Chen, Chenyang Bu, Shengwei Ji, Xindong Wu
2026Dual-View Hypercube Alignment Framework for Open-World Entity Typing.
Hu Chen, Yu Zhu, Wei Shen
2026Dual-level Reweighting for Positive-Unlabeled Graph Classification.
Junghun Kim, Shihyung Park, U Kang
2026DualDis: A Dual Disentanglement Network for Vehicle Re-identification.
Wenying He, Feiyu Wang, Guangquan Xu, Yude Bai, Fei Guo
2026DualGR: Generative Retrieval with Long and Short-Term Interests Modeling.
Zhongchao Yi, Kai Feng, Xiaojian Ma, Yalong Wang, Yongqi Liu, Han Li, Zhengyang Zhou, Yang Wang
2026DyLogNet: A Dynamic Multi-Relational Graph Framework for Log Anomaly Detection.
Xudong Zhao, Xiaolong Xu, Haolong Xiang, Tong Gao, Lianyong Qi, Amin Beheshti, Xuyun Zhang, Wanchun Dou
2026DyMRL: Dynamic Multispace Representation Learning for Multimodal Event Forecasting in Knowledge Graph.
Feng Zhao, Kangzheng Liu, Teng Peng, Yu Yang, Guandong Xu
2026DynaFLUX: Implicit Dynamics-Preserving Reinforcement Learning for Topology-Free Influence Maximization.
Daiyunke Zhang, Ting Deng, Tianchen Zhu, Shuai Ma, Daqing Li, Mingtian Peng, Feng Tian
2026DynaMoLTV: A Cross-Game Dynamic Mixture Model with Weighted Sub-Distributions for Player Lifetime Value Prediction.
Furen Xu, Jie Zhang, Kai Jiang, Chengxiang Zhuo, Zang Li
2026Dynamic Experts Synergy for Multi-Task Recommendation.
Haotian Wu, Yingpeng Du, Zhu Sun, Jie Zhang, Puay Siew Tan
2026Dynamic Min-Max Multi-Dimensional Reinforcement Backdoor Attacks and Orchestrated Closed-Loop Defense in Fairness-Aware Web Federated Finance.
Ruixiao Zhu, Kun Zhu, Nana Zhang, Qi Zhang, Changjun Jiang
2026Dynamic Multi-period Experts for Online Time Series Forecasting.
Seungha Hong, Sukang Chae, Suyeon Kim, Sanghwan Jang, Hwanjo Yu
2026Dynamic Prototype-Augmented Stance Detection: Learning from the Seen to Reason about the Unseen.
Zhaodan Zhang, Jin Zhang, Jiafeng Guo
2026Dynamic Routing-Based Adaptive Multi-LLM Collaboration: A Unified Recommendation Framework with Decision Knowledge Complementation.
Jiale Huang, Yingyuan Xiao, Likang Wu, Xu Cheng, Wenguang Zheng, Qingbo Hao, Ming He, Hongke Zhao
2026Dynamics of Human-AI Collective Knowledge on the Web: A Scalable Model and Insights for Sustainable Growth.
Buddhika Nettasinghe, Kang Zhao
2026Déjà Vu of Strange Stickers! Enhancing Out-of-Distribution Robustness in Sticker Retrieval via Cross-Modal Intent Alignment.
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Changjiang Zhou, Fan Zhang, Yinhu Zhao
2026E
Han Zhao, Xu Yang, Cheng Deng, Fan Liu
2026E2PL: Effective and Efficient Prompt Learning for Incomplete Multi-view Multi-Label Class Incremental Learning.
Jiajun Chen, Yue Wu, Kai Huang, Wenxi Zhao, Yangyang Wu, Xiaoye Miao, Mengying Zhu, Meng Xi, Guanjie Cheng
2026EDTF: A Plug-and-Play Learning Framework for Estimated Delivery Time Task.
Yichen Song, Jianfeng Zhou, Renhao Cao, Jian-Ya Ding
2026EEO-TFV: Escape-Explore Optimizer for Web-Scale Time-Series Forecasting and Vision Analysis.
Hua Wang, Jinghao Lu, Fan Zhang
2026EIAN: Explicit Interaction-aware Attention Network for Interpretable Event Modeling.
Jiping Zhang, Hua Zhu, Hong Huang, Yongkang Zhou, Kehan Yin, Bang Liu
2026EMSEdit: Efficient Multi-Step Meta-Learning-based Model Editing.
Xiaopeng Li, Shasha Li, Xi Wang, Shezheng Song, Bin Ji, Shangwen Wang, Jun Ma, Xiaodong Liu, Mina Liu, Jie Yu
2026ES-MemEval: Benchmarking Conversational Agents on Personalized Long-Term Emotional Support.
Tiantian Chen, Jiaqi Lu, Ying Shen, Lin Zhang
2026Eclipse Attacks on Ethereum's Peer-to-Peer Network.
Ruisheng Shi, Yuxuan Liang, Zijun Guo, Qin Wang, Lina Lan, Chenfeng Wang, Zhuoyi Zheng
2026EcoThink: A Green Adaptive Inference Framework for Sustainable and Accessible Agents.
Linxiao Li, Zhixiang Lu
2026EcoTune: Edge-Cloud Collaborative Model Adaptation for Budget-Constrained On-Device SLM Personalization.
Gong Chen, Mingkai Lin, Xiaobin Hong, Wenzhong Li, Sanglu Lu
2026EdgeGen: Efficient LLM-Empowered Model Generation with Quantization-Aware NAS.
Yingqi Peng, Wenhao Zhou, Kaijie Gong, Yang Liu, Yi Gao, Wei Dong
2026Edit-Level Tracking of Narrative Changes in 10-K Filings.
Xiao Li, Changhong Jin, Yingjie Niu, Jingyi Wang, Ruihai Dong
2026Effective and Unsupervised Social Event Detection and Evolution via RAG and Structural Entropy.
Qitong Liu, Hao Peng, Zuchen Li, Xihang Meng, Ziyu Yang, Jiting Li, Li Sun, Philip S. Yu
2026Efficient Content-based Recommendation Model Training via Noise-aware Coreset Selection.
Hung Vinh Tran, Tong Chen, Hechuan Wen, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin
2026Efficient High-Dimensional Time Series Forecasting with Transformers: A Channel Reordering Perspective.
Yuchen Fang, Shiyu Wang, Yuxuan Liang, Zhou Ye, Yang Xiang, Yan Zhao, Kai Zheng
2026Efficient Learning of Sparse Representations from Interactions.
Vojtech Vancura, Martin Spisák, Rodrigo Alves, Ladislav Peska
2026Efficient and Fair Allocation on Graphs: From Orientation to Position-Aware Valuations.
Bo Li, Ankang Sun, Shiji Xing
2026Egocentric Co-Pilot: Web-Native Smart-Glasses Agents for Assistive Egocentric AI.
Sicheng Yang, Yukai Huang, Weitong Cai, Shitong Sun, Fengyi Fang, You He, Yiqiao Xie, Jiankang Deng, Hang Zhang, Jifei Song, Zhensong Zhang
2026Embedding Enhancement via Fine-Tuned Language Models for Learner-Item Cognitive Modeling.
Yuanhao Liu, Zihan Zhou, Kaiying Wu, Shuo Liu, Yiyang Huang, Jiajun Guo, Aimin Zhou, Hong Qian
2026EmeraldMind: A Knowledge Graph-Augmented Framework for Greenwashing Detection.
Georgios Kaoukis, Ioannis Aris Koufopoulos, Eleni Psaroudaki, Danae Pla Karidi, Evaggelia Pitoura, George Papastefanatos, Panayiotis Tsaparas
2026Emergence of Structural Disparities in the Web of Scientific Citations.
Buddhika Nettasinghe, Nazanin Alipourfard, Vikram Krishnamurthy, Kristina Lerman
2026Emergent Coordinated Behaviors in Networked LLM Agents: Modeling the Strategic Dynamics of Information Operations.
Gian Marco Orlando, Jinyi Ye, Valerio La Gatta, Mahdi Saeedi, Vincenzo Moscato, Emilio Ferrara, Luca Luceri
2026Empowering LLMs for Structure-Based Drug Design via Exploration-Augmented Latent Inference.
Xuanning Hu, Anchen Li, Qianli Xing, Jinglong Ji, Hao Tuo, Bo Yang
2026Energy-Efficient Training-Free Zero-Inflation Correction for Rainfall Forecasting with Time-Series Foundation Models.
Wentao Gao, Xiaojing Du, Xiongren Chen, Yifan Guo, Andres Mauricio Cifuentes Bernal, Renqiang Luo, Ziqi Xu
2026Energy-Efficient and Dequantization-Free Quantization of LLMs: A Spiking Neural Network Approach to Salient Value Mitigation.
Chenyu Wang, Zhanglu Yan, Zhi Zhou, Xu Chen, Weng-Fai Wong
2026Enhancing Content Moderation with LLMs: A Reddit Case Study on Evaluating and Refining Human Decisions.
Jiahui He, Yiluo Wei, Gareth Tyson
2026Enhancing Domain-Adaptive Hashing via Evidential Learning and Progressive Alignment.
Junsheng Wang, Tiantian Gong, Yeyun Wu, Liyan Zhang
2026Enhancing Federated Class-Incremental Learning via Spatial-Temporal Statistics Aggregation.
Zenghao Guan, Guojun Zhu, Yucan Zhou, Wu Liu, Weiping Wang, Jiebo Luo, Xiaoyan Gu
2026Enhancing Large Language Models for Time-Series Forecasting via Vector-Injected In-Context Learning.
Jianqi Zhang, Jingyao Wang, Wenwen Qiang, Fanjiang Xu, Changwen Zheng
2026Enhancing Multi-Modal Entity Alignment via Multi-Grained Decision Fusion.
Yu Xing, Qizhuo Xie, You Lv, Ziyang Zhou, Qianzi Hou, Qing Gu, Bin Chong, Tieke He
2026Enhancing Rare Event Detection via Counterfactual Generation with Exogenous Variables.
Lili Tian, Dehui Du, Yikang Chen
2026Enhancing Ride-Hailing Forecasting at DiDi with Multi-View Geospatial Representation Learning from the Web.
Xixuan Hao, Guicheng Li, Daiqiang Wu, Xusen Guo, Yumeng Zhu, Zhichao Zou, Peng Zhen, Yao Yao, Yuxuan Liang
2026Enhancing Trusted Multi-View Classification via Adaptive Regularization Guided by View-Specific Biases.
Zhiyuan Liu, Xiaodong Yue, Yufei Chen, Shijie Ding, Jie Shi
2026Evasion Under Blockchain Sanctions.
Endong Liu, Mark Ryan, Liyi Zhou, Pascal Berrang
2026Evidential Matching, Uncertainty Calibration: Towards Robust Composed Video Retrieval with Noisy Triplets.
Zhangtao Cheng, Bozhu Zheng, Ting Zhong, Fan Zhou
2026Evolving Proxy Kills Drift: Data-Efficient Streaming Time Series Anomaly Detection.
Qing Wei, Hao Miao, Yan Zhao, Kai Zheng, Bin Yang, Volker Markl, Christian S. Jensen
2026Expectation-Guided Self-Verification for Aligning Large Reasoning Models with Domain Knowledge.
Han Zhang, Chen Zhao, Shasha Wang, Gang Chen, Chenghong Zhang
2026Expectation-Maximization Driven Contrastive Disentanglement for Generalized Category Discovery.
Weiyi Yang, Richong Zhang, Junfan Chen, Jiawei Sheng, Lihong Wang
2026Experience is the Best Teacher: Augmenting LLM Reasoning with Knowledge Learned from the Past.
Mingjun Zhou, Weixin Zeng, Xiang Zhao
2026Explainable Graph Sparsification with Shapley Values.
Selahattin Akkas, Ariful Azad
2026Explaining Synergistic Effects in Social Recommendations.
Yicong Li, Shan Jin, Qi Liu, Shuo Wang, Jiaying Liu, Shuo Yu, Qiang Zhang, Kuanjiu Zhou, Feng Xia
2026Exploration Sizing via Model-Predictive Control.
Ethan Che, Hakan Ceylan, James McInerney, Nathan Kallus
2026Exploring Fine-Tuning for Tabular Foundation Models.
Aditya Tanna, Pratinav Seth, Mohamed Bouadi, Vinay Kumar Sankarapu
2026Exploring Sequential Dynamics on Temporal Graphs via Composite Filtering.
Yuanyuan Xu, Danni Wu, Xuemin Lin, Dong Wen, Wenjie Zhang, Lei Chen, Ying Zhang
2026Exploring and Exploiting Security Vulnerabilities in Self-Hosted LLM Services.
Zhihuang Liu, Ling Hu, Yonghao Tang, Tongqing Zhou, Fang Liu, Zhiping Cai
2026FCRLLM: Aligning LLM with Collaborative Filtering for Long-tailed Sequential Recommendation.
Byungmoon Heo, Namjun Lee, Seonah Kim, Jaekwang Kim
2026FRiskGPT: A Generative Foundation Model for Financial Risk Detection.
Zhongjian Zhang, Mengmei Zhang, Dehua Xu, Rongjun Shi, Jianfeng Liu, Fuli Meng, Huajian Xu, Xiao Wang, Ruijia Wang, Junze Chen, Minwei Tang, Chuan Shi
2026FSDI: Frequency-Shaped Diffusion For Time-Series Imputation.
Wangmeng Shen, Hongfan Gao, Qingsong Zhong, Dingli Xu, Jilin Hu
2026FS_GPlib: Breaking the Web-Scale Barrier - A Unified Acceleration Framework for Graph Propagation Models.
Chang Guo, Juyuan Zhang, Chang Su, Tianlong Fan, Linyuan Lü
2026FUSED: Toward Federated Multimodal Retrieval across Sovereign Data Domains.
Chi Xu, Jiaxing Li, Mengdi Jin, William I. Atlas, Mark A. Spoljaric, Edith C. H. Ngai, Jiangchuan Liu
2026Facilitating Generative Retrieval with Logical Denoising for Interpretable Conversational Search.
Qichuan Liu, Chentao Zhang, Yuxuan Hu, Chenfeng Zheng, Qinggang Zhang, Zhihong Zhang
2026Fact-Checking Strategies in Web: Lateral Navigation in the Browser Boosts Health Misinformation Detection Even Under Confirmation Bias.
Elena Artemenko, Olessia Koltsova, Maksim Terpilovskii, Natalia Khazova
2026Fair
Longkun Guo, Chaoqi Jia, Chao Chen
2026Fair and Carbon-Aware LLM Routing for Web Services.
Tingting Li, Ziming Zhao, Zhaoxuan Li, Xiaofei Yue, Jiongchi Yu
2026FairFRL: Fairness-aware Federated Representation Learning for Cross-domain Sequential Recommendation.
Tao Tang, Mujie Liu, Botao Liu, Wei Du, Liping Chen, Xinrui Cheng, Jiaxin Du, Xiangjie Kong
2026FairFS: Addressing Deep Feature Selection Biases for Recommender System.
Xianquan Wang, Zhaocheng Du, Jieming Zhu, Qinglin Jia, Zhenhua Dong, Kai Zhang
2026FairGE: Fairness-Aware Graph Encoding in Incomplete Social Networks.
Renqiang Luo, Huafei Huang, Tao Tang, Jing Ren, Ziqi Xu, Mingliang Hou, Enyan Dai, Feng Xia
2026FairGU: Fairness-aware Graph Unlearning in Social Networks.
Renqiang Luo, Yongshuai Yang, Huafei Huang, Qing Qing, Mingliang Hou, Ziqi Xu, Yi Yu, Jingjing Zhou, Feng Xia
2026Fairer AI Carbon Accounting: Incorporating Market-based Attribution and Uncertainty in Embodied and Operational Carbon Footprint.
Xiaoyang Zhang, Yang Deng, Fang He, Dan Wang
2026Fairness in Opinion-Formation Dynamics.
Nikos Theologis, Evaggelia Pitoura, Evimaria Terzi, Panayiotis Tsaparas
2026FalconScope: Effective and Efficient Detection of Hidden Web Interfaces in IoT Devices.
Jiaming Guo, Haoran Yang, Kuihao Yan, Jiekang Hu, Xiaoqi Jia, Haichao Du, Qihang Zhou
2026Fast or Secure? Push the Limit of Privacy Leakage Threat via Charging Side-Channel Attacks.
Jiaxin Jiang, Xutong Zhang, Jiahao Li, Leqi Zhao, Zhengxin Guo, Kaiyan Cui, Ming Gao, Jinsong Han, Fu Xiao
2026Fate: Fasss sEsdge Inference of Mixture-of-Experts Models via Cross-Layer Gate.
Zhiyuan Fang, Xingfan Yu, Yuegui Huang, Zicong Hong, Yufeng Lyu, Wuhui Chen, Yue Yu, Fan Yu
2026FeDecider: An LLM-Based Framework for Federated Cross-Domain Recommendation.
Xinrui He, Ting-Wei Li, Tianxin Wei, Xuying Ning, Xinyu He, Wenxuan Bao, Hanghang Tong, Jingrui He
2026Feature-PI: A Data Repository for Learning-based Feature Importance Estimation.
Yin Lou
2026FedAKD: Federated Adaptive Knowledge Distillation via Global Knowledge Calibration and Decoupling.
Yingchao Wang, Wenqi Niu, Hanpo Hou
2026FedBridge: Accelerating Edge-Assisted Federated Learning for Model-Heterogeneous Clients.
Kaibin Wang, Qiang He, Zeqian Dong, Ziteng Wei, Caslon Chua, Feifei Chen, Hai Jin, Yun Yang
2026FedCND: Federated Graph-Level Clustering under Inter-Client Cluster Number Discrepancy.
Junlong Wu, Renda Han, Wenxuan Tu, Jingxin Liu, Haotian Wang, Jieren Cheng
2026FedDiG: Frequency-Guided Diffusion Diversity for Generalizable Federated Time Series Classification.
Haoran Shi, Junru Zhang, Cheng Peng, Xiaoli Tang, Longtao Huang, Han Yu
2026FedDis: A Causal Disentanglement Framework for Federated Traffic Prediction.
Chengyang Zhou, Zijian Zhang, Chunxu Zhang, Hao Miao, Yulin Zhang, Kedi Lyu, Juncheng Hu
2026FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Clients.
Dezhong Yao, Tongtong Liu, Yuexin Shi, Zhiqiang Xu
2026FedRGL: Federated Riemannian Graph Learning in Mixed-Curvature Spaces with Ricci-Gated Convolution.
Haizhou Du, Haolin Wu, Zijie Zhu, Zicheng Shi
2026FedRMamba: Federated Residual Mamba for Multivariate Time-Series Forecasting.
Zhiwei Hu, Liang Zhang, Guangxu Zhu
2026FedSRD: Sparsify-Reconstruct-Decompose for Communication-Efficient Federated Large Language Models Fine-Tuning.
Guochen Yan, Luyuan Xie, Qingni Shen, Yuejian Fang, Zhonghai Wu
2026Federated Latent Factor Learning for Privacy-Preserving Spatio-Temporal Signal Recovery.
Chengjun Yu, Di Wu, Yi He, Jia Chen, Xin Luo
2026FediScan: Collaborative Social Bot Detection in the Fediverse.
Min Gao, Wen Wen, Haoran Du, Qiang Duan, Yu Xiao, Yupeng Li, Xin Wang, Pan Hui, Yang Chen
2026Fedivertex: a Graph Dataset based on Decentralized Social Media.
Marc Damie, Edwige Cyffers
2026FeedGuard: Online Critic-Guided Reinforcement Learning with Privacy-Preserving Feedback for Recommendation.
Mengying Zhu, Feiyue Chen, Lifan Jiang, Mengyuan Yang, Yangyang Wu, Guanjie Cheng, Xiaolin Zheng
2026Few-shot and Zero-shot Audience Expansion with User and Task Model Pre-training on Tabular Data.
Siwei Qiang, Pengyu Li, Zhe Yu, Mengyao Sun, Jun Chen, Bo Zheng
2026Field Matters: A Lightweight LLM-enhanced Method for CTR Prediction.
Yu Cui, Feng Liu, Jiawei Chen, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Xiaohu Yang, Can Wang
2026FilterRec: An Intent-Aware Framework for Dynamic Filter Recommendation.
Dingxian Wang, Jiacheng Dong, Jiaqi Deng, Jing Long, Ted Liu, George Barelas, Arya Taylor, Spyros Kapnissis, Frank Yang, Andrew Rabinovich, Guandong Xu
2026Financial Wind Tunnel: A Retrieval-Augmented Market Simulator.
Bokai Cao, Xueyuan Lin, Yiyan Qi, Chengjin Xu, Cehao Yang, Jian Guo
2026Fine-Grained Traceability for Transparent ML Pipelines.
Liping Chen, Mujie Liu, Haytham Fayek
2026FishFlow: A LLM-Empowered Dynamic Pricing Framework for Online Fleamarket Platform.
Kakam Chong, Xu Yan, Shuai Xiao, Ming Chen, Chen Ju, Fei Huang, Yuantao Gu, Shuguang Han, Jufeng Chen
2026FlowRAG: Continual Learning for Dynamic Retriever in Retrieval-Augmented Generation.
Senlei Zhang, Tongjun Shi, Dandan Song, Luan Zhang, Shuhao Zhang, Xiaofei Liao, Hai Jin
2026Following the TRAIL: Predicting and Explaining Tomorrow's Hits with a Fine-Tuned LLM.
Yinan Zhang, Zhixi Chen, Jiazheng Jing, Zhiqi Shen
2026Forge: A Robust Multi-tab Website Fingerprinting Attack via Blind Source Separation.
Yitan Huang, Wei Qiao, Ding Wang, Meng Shen, Di Zhao, Linxu Li, Susu Cui, Bo Jiang, Zhigang Lu, Baoxu Liu
2026FovRL: Joint Foveation and Quality Control for Immersive VR Streaming Using Reinforcement Learning.
Yuk Hang Tsui, Ze Wu, Ahmad Alhilal, Matti Siekkinen, Pan Hui
2026FraudShield: Knowledge Graph Empowered Defense for LLMs against Fraud Attacks.
Naen Xu, Jinghuai Zhang, Ping He, Chunyi Zhou, Jun Wang, Zhihui Fu, Tianyu Du, Zhaoxiang Wang, Shouling Ji
2026Frequency-Corrupt Based Graph Self-Supervised Learning.
Haojie Li, Mengjiao Zhang, Guanfeng Liu, Qiang Hu, Yan Wang, Junwei Du
2026From Criteria to Ranking: Targeting-Aware Tripartite Graph Learning for Multi-Criteria Recommendation.
Zhenhua Meng, Fanshen Meng
2026From Entity Reliability to Clean Feedback: An Entity-Aware Denoising Framework Beyond Interaction-Level Signals.
Ze Liu, Xianquan Wang, Shuochen Liu, Jie Ma, Huibo Xu, Yupeng Han, Kai Zhang, Jun Zhou
2026From Insight to Intervention: Interpretable Neuron Steering for Controlling Popularity Bias in Recommender Systems.
Parviz Ahmadov, Masoud Mansoury
2026From Manipulation to Mistrust: Explaining Diverse Micro-Video Misinformation for Robust Debunking in the Wild.
Zhi Zeng, Yifei Yang, Jiaying Wu, Xulang Zhang, Xiangzheng Kong, Herun Wan, Zihan Ma, Minnan Luo
2026From Modularity to Unity: Towards Industrial-Scale Generative Recommendation.
Xiaofeng Liu, Wenliang Li, Tao Yu, Guanliang Song, Zhen Chen, Jing Zhou, Dongyue Wang, Xiwei Zhao, Sulong Xu
2026From Native Memes to Global Moderation: Cross-Cultural Evaluation of Vision-Language Models for Hateful Meme Detection.
Mo Wang, Kaixuan Ren, Pratik Jalan, Ahmed Ashraf, Tuong Vy Vu, Rahul Seetharaman, Shah Nawaz, Usman Naseem
2026From Navigation to Intention: Reframing the Web Experience through Goal-Driven Interfaces.
Luca Cordioli, Maristella Matera
2026From Newborn to Impact: Bias-Aware Citation Prediction.
Mingfei Lu, Mengjia Wu, Jiawei Xu, Weikai Li, Feng Liu, Ying Ding, Yizhou Sun, Jie Lu, Yi Zhang
2026From Prediction to Understanding: Leveraging Reasoning in Large Language Model-based Recommendations.
Zhi-Yuan Chen, Siyu Lu, Qiang Liu, Xingxing Wang, Yankai Lin
2026From Random Forget-Sets to Realistic Natural-Language Deletion Requests.
Imran Ahsan, Jinsung Kim, Mucheol Kim
2026From Reasoning LLMs to BERT: A Two-Stage Distillation Framework for Search Relevance.
Runze Xia, Yupeng Ji, Yuxi Zhou, Haodong Liu, Teng Zhang, Piji Li
2026From Representation to Clusters: A Contrastive Learning Approach for Attributed Hypergraph Clustering.
Li Ni, Shuaikang Zeng, Lin Mu, Longlong Lin
2026From Retrieval to Generation: Unifying External and Parametric Knowledge for Medical Question Answering.
Lei Li, Xiao Zhou, Yingying Zhang, Xian Wu
2026From Social Media to Psychological Scale: An Adaptive Framework with Two-Hop Retrieval for Depression Screening.
Yangyang Xu, Jinpeng Hu, Peipei Song, Zhangling Duan, Xun Yang
2026From Sold-Out to Sales Uplift: Causal Inference for Intelligent Inventory Management on Online Travel Platforms.
Fanwei Zhu, Zhuoran Zhuang, Detao Lv, Manwei Li, Yao Yu
2026From Token to Item: Enhancing Large Language Models for Recommendation via Item-aware Attention Mechanism.
Xiaokun Zhang, Bowei He, Jiamin Chen, Ziqiang Cui, Chen Ma
2026From Words to Worlds: Measuring Cultural Narrative Bias in LLMs via a Structural-Value Pipeline.
Fangjian Shen, Yifan Zeng, Dechen Lyu, Wushao Wen
2026Fusion Is Not A Simple Ensemble! Towards The Evolving Views in Insider Threat Detection.
Chengyu Song, Lin Yang, Jianming Zheng, Jingjing Zhang, Hongyu Kuang, Jinzhi Liao, Mengchun Zhao
2026GAM: A Generative Auto-Marketing Framework in Online E-commerce Platforms.
Yuejia Dou, Shuai Dou, Yuchao Ma, Bingzhe Wang, Tianyu Wang, Zhilin Zhang, Chuan Yu, Jian Xu, Qi Qi
2026GFMixer: Decoupled Temporal Gradient and Fourier-Aware Attention for Time Series Forecasting.
Lin Zhang, Qing Li, Jingmei Zhao
2026GIANT: Structure-Agnostic Practical Adversarial Attacks for Graph-based Network Intrusion Detection Systems.
Jianjin Zhao, Dongqi Han, Chao Ma, Qi Li, Zhiwei Cui, Hongliang Zhu, Hua Zhang, Mingshu He, Yijun Lu, Jiong Dong, Yuyin Ma, Meng Shen
2026GORAG: Graph-based Online Retrieval Augmented Generation for Dynamic Few-shot Social Media Text Classification.
Yubo Wang, Haoyang Li, Fei Teng, Lei Chen
2026GPR: Empowering Generation with Graph-Pretrained Retriever.
Xiaochen Wang, Zongyu Wu, Yuan Zhong, Xiang Zhang, Suhang Wang, Fenglong Ma
2026GPU-accelerated Multi-relational Parallel Graph Retrieval for Web-scale Recommendations.
Zhuoning Guo, Guangxing Chen, Qian Gao, Xiaochao Liao, Jianjia Zheng, Lu Shen, Hao Liu
2026GRADE: Personalized Multi-Task Fusion via Group-Relative Reinforcement Learning with Adaptive Dirichlet Exploration.
Tingfeng Hong, Pingye Ren, Xinlong Xiao, Chao Wang, Chenyi Lei, Wenwu Ou, Han Li
2026GRAND: A Robust Diffusion Framework for Multi-Granularity Graph Anomaly Detection in Web Platforms.
Maolin Wang, Beining Bao, Hongyu Chen, Zichun Liu, Lang Fu, Jun Chu, Langzhang Liang, Zenglin Xu
2026GRank: Towards Target-Aware and Streamlined Industrial Retrieval with a Generate-Rank Framework.
Yijia Sun, Shanshan Huang, ZhiYuan Guan, Qiang Luo, Ruiming Tang, Kun Gai, Guorui Zhou
2026Gaussian Mixture Flow Matching with Domain Alignment for Multi-Domain Sequential Recommendation.
Xiaoxin Ye, Chengkai Huang, Hongtao Huang, Lina Yao
2026GenCI: Generative Modeling of User Interest Shift via Cohort-based Intent Learning for CTR Prediction.
Kesha Ou, Zhen Tian, Wayne Xin Zhao, Hongyu Lu, Ji-Rong Wen
2026Generalizable Graph-level Anomaly Detection via Prompted Anomaly Expansion and Normality Extraction.
Ge Zhang, Jiapei Chen, Guohao Sun, Xiu Fang, Zhenyu Yang, Xixun Lin, Liang Yang
2026Generalized Incremental Learning under Concept Drift across Evolving Data Streams.
En Yu, Jie Lu, Guangquan Zhang
2026Generalized Pseudo-Relevance Feedback.
Yiteng Tu, Weihang Su, Yujia Zhou, Yiqun Liu, Fen Lin, Qin Liu, Qingyao Ai
2026Generative Archetype-Grounded Item Representations for Sequential Recommendation.
Yifan Li, Jiahong Liu, Xinni Zhang, Hao Chen, Yankai Chen, Wenhao Yu, Jianting Chen, Irwin King
2026Generative Data Transformation: From Mixed to Unified Data.
Jiaqing Zhang, Mingjia Yin, Hao Wang, Yuxin Tian, Yuyang Ye, Yawen Li, Wei Guo, Yong Liu, Enhong Chen
2026Generative Regression Based Watch Time Prediction for Short-Video Recommendation.
Hongxu Ma, Kai Tian, Tao Zhang, Xuefeng Zhang, Han Zhou, Chenghou Jin, Chunjie Chen, Han Li, Jihong Guan, Shuigeng Zhou
2026Generative Retrieval for E?commerce: Jointly Learning Embedding and Codebook with Same Product Cluster.
Songtao Fang, Zihao Xu, Shaowei Wei, Jin Zhang, Zhuojun Wang
2026Genomic-Informed Heterogeneous Graph Learning for Spatiotemporal Avian Influenza Outbreak Forecasting.
Jing Du, Haley Stone, Yang Yang, Ashna Desai, Hao Xue, Andreas Züfle, C. Raina MacIntyre, Flora D. Salim
2026GlassMiner: Mining Looking Glass Services via Structure-Semantics Fusion for Web Observability.
Yunze Wei, Xingang Shi, Han Zhang, Tianyu Zhang, Yahui Li, Xia Yin
2026Glasses: Enabling Fast Environment-aware Few-Shot Learning via Device-Cloud Collaboration.
Qiang He, Sheng Zhong, Jiazhen Yang, Feifei Chen, Hai Jin, Yun Yang
2026GlotWeb: Web Indexing for Minority Languages.
Abdullah Al Sefat, Amir Hossein Kargaran, François Yvon, Hinrich Schütze
2026Graph Adversarial Defense via Hilbert-Schmidt Independence Criterion against Influence Maximization Attacks.
Yuxing Guo, Jianqing Liang, Kaixuan Yao, Zhihao Guo, Jiye Liang
2026Graph Cross-Domain Continual Fine-Tuning via Orthogonal LoRA Routing with Contrastive Expert Specialization.
Qianyi Cai, Ziyue Qiao, Minghao Yang, Xiao Luo, Hui Xiong
2026Graph Diffusion Evolution Model for Multi-Conditional Molecular Generation.
Xingcheng Fu, Lingyun Liu, Yisen Gao, Tianyu Chen, Qingyun Sun, Jianxin Li, Xianxian Li
2026Graph Discrete Prompt Optimization for Knowledge Graph Question Answering.
Wooyoung Kim, Haemin Jung, Byeongjin Kim, Suhyeon Kwon, Wooju Kim
2026Graph Neural Network Model Transferability Estimation via Decomposition-Augmented Discriminant Analysis.
Huanchang Ma, Xin Zheng, Jianyu Li, Alan Wee-Chung Liew, Wei Lan, Jian Gao
2026Graph Poisoning for Node Rank Manipulation.
Seyed Mohammad Hosseini, Radin Hamidi Rad, Morteza Zihayat, Ebrahim Bagheri
2026Graph Retention Networks for Dynamic Graphs.
Qian Chang, Xia Li, Xiufeng Cheng, Runsong Jia, Jinqing Yang, Guoping Hu, Ciprian Doru Giurcaneanu
2026Graph-to-Tree: Topological Decomposition for Self-Supervised Learning.
Yejiang Wang, Yuhai Zhao, Fangting Li, Jiapu Wang, Meixia Wang, Ling Li, Miaomiao Huang, Zhengkui Wang, Shirui Pan
2026GraphCogent: Mitigating LLMs' Working Memory Constraints via Multi-Agent Collaboration in Complex Graph Understanding.
Rongzheng Wang, Shuang Liang, Qizhi Chen, Yihong Huang, Muquan Li, Yizhuo Ma, Dongyang Zhang, Ke Qin, Man-Fai Leung
2026GraphRAG-R1: Graph Retrieval-Augmented Generation with Process-Constrained Reinforcement Learning.
Chuanyue Yu, Kuo Zhao, Yuhan Li, Heng Chang, Mingjian Feng, Xiangzhe Jiang, Yufei Sun, Jia Li, Yuzhi Zhang, Qingyun Sun, Jianxin Li, Ziwei Zhang
2026GraphTARIF: Linear Graph Transformer with Augmented Rank and Improved Focus.
Zhaolin Hu, Kun Li, Hehe Fan, Yi Yang
2026Grasp: Refining Semantic Graphs into Purified Knowledge for Cross-Modal Communication.
Liang Chen, Xiaoding Wang, Limei Lin, Dajin Wang, Zhiquan Liu, Jie Wu
2026Greedy Attack: Breaking Finality against VeChain Proof-of-Authority Consensus Protocol.
Rujia Li, Qin Wang, Haochen Wang, Xueqian Lu, Sisi Duan
2026Green Industrial Engineering on the Web: Agent-Driven Ant Colony Optimization Tuning for Energy-Efficient 3D Pipe Routing.
Xuanhan Fan, Rui Ding, Haojie Liu, Jibin Zhou, Han Liu, Yuanman Li, Wei Wang, Mao Ye
2026GreenTune: Energy-Efficient Low-Rank Tuning of LLMs with ThreeE Evaluation under 4-/8-bit Quantization.
Xingrao Ma, Zongxi Li, Chengzu Dong, Kai Fang, Di Shao
2026Guiding Generative Recommender Systems with Structured Human Priors via Multi-head Decoding.
Yunkai Zhang, Qiang Zhang, Diji Yang, Ryan Lin, Ruizhong Qiu, Benyu Zhang, Hanchao Yu, Jason Liu, Yinglong Xia, Zhuokai Zhao, Lizhu Zhang, Xiangjun Fan, Zhuoran Yu, Abhishek Kumar, Zeyu Zheng
2026H-NeiFi: Non-Invasive and Consensus-Efficient Multi-Agent Opinion Guidance.
Shijun Guo, Haoran Xu, Yaming Yang, Ziyu Guan, Wei Zhao, Xinyi Zhang, Yishan Song
2026HAAF: Hierarchical Adaptation and Alignment of Foundation Models for Few-Shot Pathology Anomaly Detection.
Chunze Yang, Wenjie Zhao, Yue Tang, Junbo Lu, Jiusong Ge, Qidong Liu, Zeyu Gao, Chen Li
2026HALO: Hierarchical Reinforcement Learning for Large-Scale Adaptive Traffic Signal Control.
Yaqiao Zhu, Hongkai Wen, Geyong Min, Man Luo
2026HAUTE: Harmonizing Action Units with Temporal-contextual Embeddings for Deepfake Detection.
Chaewon Kang, Youjin Lee, Jinyoung Han
2026HCSL: Rumor Detection by Integrating Intra-Sample Curriculum Learning and Hierarchical Semantic Learning.
Ping Liu, Hui Song, Shufeng Hao, Xiaoning Hao, Zexu Zhang, Usman Naseem
2026HL-CMR: Hypergraph Learning for Cross-Modal Retrieval.
Guohui Ding, Jing Li, Yimin Xu, Rui Zhou
2026Harnessing LLM for Noise-Robust Cognitive Diagnosis in Web-Based Intelligent Education Systems.
Guixian Zhang, Guan Yuan, Ziqi Xu, Yanmei Zhang, Jing Ren, Zhenyun Deng, Debo Cheng
2026Has the Two-Decade-Old Prophecy Come True? Artificial Bad Intelligence Triggered by Merely a Single-Bit Flip in Large Language Models.
Yu Yan, Siqi Lu, Yang Gao, Zhaoxuan Li, Ziming Zhao, Qingjun Yuan, Yongjuan Wang
2026Hermes the Polyglot: A Unified Framework to Enhance Expressiveness for Multimodal Interlingual Subtitling.
Chaoqun Cui, Shijing Wang, Liangbin Huang, Qingqing Gu, Zhaolong Huang, Xiao Zeng, Wenji Mao
2026HeteroSim: Towards High-Fidelity Heterogeneous LLM Training Simulation on GPUs.
Xiaofei Yue, Fangming Zhao, Fulun Ye, Jiongchi Yu, Zhaoxuan Li, Tingting Li, Ziming Zhao, Jianwei Yin
2026Heterophily-Agnostic Hypergraph Neural Networks with Riemannian Local Exchanger.
Li Sun, Ming Zhang, Wenxin Jin, Zhongtian Sun, Zhenhao Huang, Hao Peng, Sen Su, Philip S. Yu
2026Hi-GMAE: Hierarchical Graph Masked Autoencoders.
Chuang Liu, Zelin Yao, Xueqi Ma, Mukun Chen, Luzhi Wang, Jia Wu, Wenbin Hu
2026HiFi-WF: Toward Realistic Website Fingerprinting with Multi-tab and Subpage Recognition.
Songyang Wu, Chuan Ma, Ming Ding, Long Yuan, Biwen Chen, Yuwen Qian, Tao Xiang
2026Hidden-in-Plain-Text: A Benchmark for Social-Web Indirect Prompt Injection in RAG.
Haoze Guo, Ziqi Wei
2026HierCon: Hierarchical Contrastive Attention for Audio Deepfake Detection.
Zhili Nicholas Liang, Soyeon Caren Han, Qizhou Wang, Christopher Leckie
2026Hierarchical Graph-Bag-Network for Self-Supervised Multi-Graph Learning.
Meixia Wang, Yuhai Zhao, Zhengkui Wang, Fenglong Ma, Yejiang Wang, Miaomiao Huang, Fazal Wahab, Wen Shan, Xingwei Wang
2026Hierarchical Semantic RL: Tackling the Problem of Dynamic Action Space for RL-based Recommendations.
Minmao Wang, Xingchen Liu, Shijie Yi, Likang Wu, Hongke Zhao, Fei Pan, Qingpeng Cai, Peng Jiang
2026HingeMem: Boundary Guided Long-Term Memory with Query Adaptive Retrieval for Scalable Dialogues.
Yijie Zhong, Yunfan Gao, Haofen Wang
2026HomeRun: Performing Curveball Trades quasi in Streaming for Fast Null Modeling of Graphs, Hypergraphs, and Binary Matrices.
Michelle Contreras-Catalan, Matteo Riondato
2026How Graphs Can Help You Stay Informed in an Evolving World.
MohammadHossein Bateni, Lin Chen, Hossein Esfandiari, Sasan Tavakkol
2026How Green Is Your Login? A Cross-Protocol Benchmark of Authentication Energy & Latency.
Weizheng Wang, Qipeng Xie, Shiyu Wang, Qingqing Ye, Kaishun Wu, Haibo Hu
2026How Human Experts Educate Specialized LLMs: Filling Knowledge Gaps in KG-Augmented Generation through Hallucination Detection.
Chaofan Li, Lixing Chen, Junhua Tang, Yang Bai, Yutong Zhang, Zhi Zheng, Pan Zhou, Zhe Qu
2026How Social Media Peer Comments Influence Privacy Decisions in Photo Sharing: Context and Individual Differences Cause Comments to Backfire.
Tangila Islam Tanni, Renita Washburn, Yan Solihin, Mary Jean Amon
2026How to Strategize Human Content Creation in the Era of GenAI?
Seyed A. Esmaeili, Kevin Lim, Kshipra Bhawalkar, Zhe Feng, Di Wang, Haifeng Xu
2026HyMiRec: A Hybrid Multi-interest Learning Framework for LLM-based Sequential Recommendation.
Jingyi Zhou, Cheng Chen, Kai Zuo, Manjie Xu, Zhendong Fu, Yibo Chen, Xu Tang, Yao Hu
2026Hyena Operator for Fast Sequential Recommendation.
Jiahao Liu, Lin Li, Zhiyuan Li, Kaixi Hu, Kaize Shi, Jingling Yuan
2026HyperDetector: Advanced Persistent Threat Detection via Hypergraph Neural Networks with Enhanced Global Perception.
Ziyue Wu, Nan Wang, Jiqiang Liu, Hairong Dong, Xibin Zhao
2026HyperRAG: Reasoning N-ary Facts over Hypergraphs for Retrieval Augmented Generation.
Wen-Sheng Lien, Yu-Kai Chan, Hao-Lung Hsiao, Bo-Kai Ruan, Meng-Fen Chiang, Chien-An Chen, Yi-Ren Yeh, Hong-Han Shuai
2026Hyperbolic Multimodal Generative Representation Learning for Generalized Zero-Shot Multimodal Information Extraction.
Baohang Zhou, Kehui Song, Rize Jin, Yu Zhao, Xuhui Sui, Xinying Qian, Xingyue Guo, Ying Zhang
2026IACLR: Intention Alignment via Contrastive Learning for Bipartite Graph Recommendation.
Huiying Hu, Tuo Wang, Yixiao Zhou, Xiaoqing Lyu
2026ICL-Evader: Zero-Query Black-Box Evasion Attacks on In-Context Learning and Their Defenses.
Ningyuan He, Ronghong Huang, Qianqian Tang, Hongyu Wang, Xianghang Mi, Shanqing Guo
2026IConMoE: Modeling Intents of Misinformation using Concept Activation Vector-based Mixture of Experts.
Atul Kumar Singh, Rahul Mishra
2026IMPerSumm: Information-Modulated User Preference Modeling for Personalized Text Summarization.
Parthiv Chatterjee, Dhara Jhaveri, Sourish Dasgupta, Tanmoy Chakraborty
2026IO-X: Detecting and Attributing Content-Duplicating Influence Operations on X (Twitter).
Ashfaq Ali Shafin, Md Nahid Siddique, Bogdan Carbunar
2026IRAG: Robust Multimodal Retrieval-Augmented Generation via Hazard Separation.
Ruikun Luo, Zixiao Feng, Lin Gu, Xiaoyu Xia
2026IVQ-GNN: Mitigating Performance Gap from Graph Connection Pattern Inconsistency via Vector Quantization.
Di Jin, Yixuan Du, Cuiying Huo, Xiaotong Huang, Ruqiong Zhang, Xiaobao Wang, Yawen Li
2026Identification of Influential Node Group in Attributed Graph through Explaining Graph Neural Network.
Xiao Tan, Tongtong Su, Jiayi Wu, Yan Zhang, Binghui Xu, Dian Shen, Meng Wang, Beilun Wang
2026Identifying and Upweighting Power-Niche Users to Mitigate Popularity Bias in Recommendations.
David Liu, Erik Weis, Moritz Laber, Tina Eliassi-Rad, Brennan Klein
2026Img2KG: Ontology-Driven Correction of Visual Triples.
Christina Kanetou, Yannis Tzitzikas
2026Improving Multi Task Recommendations via Cross User Learning with a Hybrid Pointwise and Pairwise Ranking Loss.
Abhinav Naikawadi, Hedi Xia, Dafang He, Yichu Zhou, Xue Xia, Piyush Maheshwari, Bella Huang, Bowen Deng, James Li, Dhruvil Deven Badani, Yijie Dylan Wang
2026Improving the Accuracy of Community Detection on Signed Networks via Community Refinement and Contrastive Learning.
Hyunuk Shin, Hojin Kim, Chanyoung Lee, Yeon-Chang Lee, David Yoon Suk Kang
2026Improving the Price of Anarchy via Predictions in Parallel-Link Networks.
George Christodoulou, Vasilis Christoforidis, Alkmini Sgouritsa, Ioannis Vlachos
2026Incentivizing Agentic Reasoning Capability with Outcome Supervision for Knowledge Base Question Answering.
Zhuo Chen, Fei Wang, Zixuan Li, Zhao Zhang, Weiwei Ding, Chuanguang Yang, Yongjun Xu, Xiaolong Jin
2026IndicAG: An Explainable Agentic Framework for Indic-Multilingual Multidimensional Aggression Detection.
Swapnil Mane, Rajesh Sharma, Suman Kundu
2026Infer As You Train: A Symmetric Paradigm of Masked Generative for Click-Through Rate Prediction.
Moyu Zhang, Yujun Jin, Yun Chen, Jinxin Hu, Yu Zhang, Xiaoyi Zeng
2026Inference Cost Attacks for Retrieval-Augmented Large Language Models.
Chengliang Liu, Liangbo Ning, Yujuan Ding, Wenqi Fan
2026Inferential Question Answering.
Jamshid Mozafari, Hamed Zamani, Guido Zuccon, Adam Jatowt
2026Inferring Users' Demographics and Sensitive Interests Using the Topics API.
Athicha Srivirote, Muhammad Abu Bakar Aziz, Jeffrey L. Gleason, Desheng Hu, Christo Wilson
2026Integrated Mixture of Neighborhood and Community Experts for Graph-Based Fraud Detection.
Zhizhi Yu, Di Jin, Dongxiao He, Wenhuan Lu, Jianguo Wei
2026Intelli-Planner: Towards Customized Urban Planning via Large Language Model Empowered Reinforcement Learning.
Xixian Yong, Peilin Sun, Zihe Wang, Xiao Zhou
2026Interaction-level Membership Inference Attack for Recommender Systems via Cluster-based User Modeling.
Danyang Zong, Kaike Zhang, Qi Cao, Du Su, Fei Sun
2026Interpretable Dynamic Network Modeling of Tensor Time Series via Kronecker Time-Varying Graphical Lasso.
Shingo Higashiguchi, Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai
2026Invariant Learning on Heterogeneous Graphs via Subgraph Environment Inference.
Yanghui Fu, Yunfei Wang, Hao Zou, Yue He, Haotian Wang, Qing Cheng, Guangquan Cheng, Shixuan Liu
2026Investigating Web Content Delivery Performance over Starlink.
Rohan Bose, Jinwei Zhao, Tanya Shreedhar, Jianping Pan, Nitinder Mohan
2026Invisible Walls in Cities: Designing LLM Agent to Predict Urban Segregation Experience with Social Media Content.
Bingbing Fan, Lin Chen, Songwei Li, Jian Yuan, Fengli Xu, Pan Hui, Yong Li
2026Is Contextual Advertising Safe? Analyzing Systemic Risks with Ads on YouTube.
Asmaa El Fraihi, Ines Abdelaziz, Oana Goga
2026Is Misinformation More Open? A Study of robots.txt Gatekeeping on the Web.
Nicolas Steinacker-Olsztyn, Devashish Gosain, Ha Dao
2026Is More Context Always Better? Examining LLM Reasoning Capability for Time Interval Prediction.
Yanan Cao, Farnaz Fallahi, Murali Mohana Krishna Dandu, Lalitesh Morishetti, Kai Zhao, Luyi Ma, Sinduja Subramaniam, Jianpeng Xu, Evren Körpeoglu, Kaushiki Nag, Sushant Kumar, Kannan Achan
2026Iterative Semantic Reasoning from Individual to Group Interests for Generative Recommendation with LLMs.
Xiaofei Zhu, Jinfei Chen, Feiyang Yuan, Zhou Yang
2026JANUS: A Dual-Constraint Generative Framework for Stealthy Node Injection Attacks.
Jiahao Zhang, Xiaobing Pei, Zhaokun Zhong, Wenqiang Hao, Zhenghao Tang
2026JitterSketch: Finding Jittery Flows in Network Streams.
Zhongxian Liang, Qilong Shi, Xiyan Liang, Zihan Li, Wenjun Li, Tong Yang, Yangyang Wang, Mingwei Xu, Weizhe Zhang
2026Joint Similar User Exploration and Informative Behavior Guidance for Multi-Modal New Item Recommendation.
Jianye Xie, Lianyong Qi, Weiming Liu, Anqi Wang, Xiaolong Xu, Haolong Xiang, Xuyun Zhang, Wenwen Gong, Yang Zhang, Amin Beheshti, Wanchun Dou
2026K&L: Penetrating Backdoor Defense with Key and Locks.
Xinyi Wang, Jiayu Zhang, Zhiyu Zhu, Zhibo Jin, Dong Yuan, Huaming Chen
2026KE-FedRS: Tackling Data Sparsity in Federated Recommendation via Knowledge Enhancement.
Jiayu Bao, Hongjian Shi, Guanyu Zhang, Rui Zhou, Haozhao Wang, Yuan Liu
2026KEGOD: Kernel-enhanced Latent Substructure Learning for Graph Out-Of-Distribution Detection.
Yifan Wang, Haodong Zhang, Zhiping Xiao, Yusheng Zhao, Siyu Yi, Nan Yin, Xinwang Liu, Ming Zhang, Wei Ju
2026KEPo: Knowledge Evolution Poison on Graph-based Retrieval-Augmented Generation.
Qizhi Chen, Chao Qi, Yihong Huang, Muquan Li, Rongzheng Wang, Dongyang Zhang, Ke Qin, Shuang Liang
2026KG-BiLM: Knowledge Graph Embedding via Bidirectional Language Models.
Zirui Chen, Xin Wang, Zhao Li, Wenbin Guo, Dongxiao He, Yanbing Li, Wushour Silamu
2026KMLP: A Scalable Hybrid Architecture for Web-Scale Tabular Data Modeling.
Mingming Zhang, Pengfei Shi, Junbo Zhao, Ningtao Wang, Feng Zhao, Guandong Sun, Yulin Kang, Xing Fu, Zhiqing Xiao, Weiqiang Wang, Ruizhe Gao
2026Kardia-R1: Unleashing LLMs to Reason toward Understanding and Empathy for Emotional Support via Rubric-as-Judge Reinforcement Learning.
Jiahao Yuan, Zhiqing Cui, Hanqing Wang, Yuansheng Gao, Yucheng Zhou, Usman Naseem
2026Kleene Closure Property Path Query Optimization Based on Node Clustered Index.
Tenglong Ren, Lulu Yang, Xiaowang Zhang, Zhiyong Feng
2026Knowledge-Enhanced Multimodal Fake News Detection: Semantic Visual and Priority Fusion.
Qin Zhang, Jiaying Liu, Qian Tao, Zhiwei Guo, Qiyue Zhong, Yifan Zhang, Ziyan Huang
2026LAPS: A Lightweight Privilege-Allocation Prompting Framework for Source Localization.
Hengrui Cui, Yang Fang, Yuehang Cao, Xiang Zhao
2026LBM: Hierarchical Large Auto-Bidding Model via Reasoning and Acting.
Yewen Li, Zhiyi Lyu, Peng Jiang, Qingpeng Cai, Fei Pan, Bo An
2026LEAP: LLM-Enhanced E-commerce Demand Prediction under Emergent Events.
Shuxin Zhong, Hongyu Lin, Yan Fang, Jun Chen, Kaishun Wu
2026LEDA: Latent Semantic Distribution Alignment for Multi-domain Graph Pre-training.
Lianze Shan, Jitao Zhao, Dongxiao He, Siqi Liu, Jiaxu Cui, Weixiong Zhang
2026LHG: LLM-enhanced and Heterogeneous Graph-induced for Unsupervised Social Event Detection.
Zitai Qiu, Rongwei Xu, Congbo Ma, Shan Xue, Jian Yang, Guanfeng Liu, Quan Z. Sheng, Amin Beheshti, Jia Wu
2026LLM Reasoning for Cold-Start Item Recommendation.
Shijun Li, Yu Wang, Jin Wang, Ying Li, Joydeep Ghosh, Anne Cocos
2026LLM Use for Mental Health: Crowdsourcing Users' Sentiment-based Perspectives and Values from Social Discussions.
Lingyao Li, Xiaoshan Huang, Renkai Ma, Ben Zefeng Zhang, Haolun Wu, Fan Yang, Chen Chen
2026LLM-Driven Semantic ID for Information Diffusion Prediction.
Haoshuang Liu, Zihan Feng, Yajun Yang, Xin Wang, Hong Gao, Qinghua Hu
2026LLM-enhanced Federated Graph Learning with Geometry-aware Graph Projection and Shared Subspace Aggregation.
Pengyang Zhou, Zhihao Huang, Jiahe Xu, Wu Wen, Xiaolin Zheng, Chaochao Chen, Jianwei Yin
2026LLMQuA: Practical Backdoor Injection on Large Language Model Quantization.
Xiangxiang Chen, Peixin Zhang, Jun Sun, Jin Song Dong, Wenhai Wang, Jingyi Wang
2026LLMs Killed Q&A Stars? Analyzing the Impact of LLM-Generated Answers on an Online Q&A Platform.
Dongwon Shin, Sooel Son
2026LPEdit: Locality-Preserving Knowledge Editing for MultiModal Large Language Models.
Tianyu Zhang, Junfeng Fang, Houcheng Jiang, Xingyu Zhu, Xiang Wang, Xiangnan He
2026LSIG: Long Semantic IDs for Generative Recommendation.
Zhao Li, Fengyang Qi, Chuanyu Xu, Tao Zhang, Chengfu Huo, Peng Zhang
2026LaTune: Lightweight and Adaptive Configuration Tuning for LLM Inference on Edge Devices.
Siqi Zhong, Mugeng Liu, Haiyang Shen, Chongyang Pan, Yun Ma
2026LaV-CoT: Language-Aware Visual CoT with Multi-Aspect Reward Optimization for Multilingual Text-Centric VQA.
Jing Huang, Zhiya Tan, Shutao Gong, Fanwei Zeng, Joey Tianyi Zhou, Changtao Miao, Huazhe Tan, Weibin Yao, Jianshu Li
2026Language Model Representations for Efficient Few-Shot Tabular Classification.
Inwon Kang, Parikshit Ram, Yi Zhou, Horst Samulowitz, Oshani Seneviratne
2026Language-Guided Game-Theoretic Fairness in Web-Enabled Energy Networks.
Hao Wu, Yuhua Li, Yuntao Zou, Qianqi Zhang, Ruixuan Li, Zeling Xu, Wei Wang
2026Large Language Model for OWL Proofs.
Hui Yang, Jiaoyan Chen, Uli Sattler
2026Large Language Models-Enhanced Semantic Diffusion for User-Centric Recommendation.
Xian Mo, Yijun Hu, Jun Pang
2026Large Reasoning Embedding Models: Towards Next-Generation Dense Retrieval Paradigm.
Jianting Tang, Dongshuai Li, Tao Wen, Fuyu Lv, Dan Ou, Linli Xu
2026Learning Evolving Preferences: A Federated Continual Framework for User-Centric Recommendation.
Chunxu Zhang, Zhiheng Xue, Guodong Long, Weipeng Zhang, Bo Yang
2026Learning Probabilistic Distributions for CTR Uncertainty.
Biho Kim
2026Learning To Generate Effective Health Advertisements.
Yuval Saadaty, Elad Yom-Tov
2026Learning on Adaptive Manifolds for Graph Collaborative Filtering.
Guangzhi Qi, Guojun Liu, Qi Zhou
2026Learning to Evolve: Bayesian-Guided Continual Knowledge Graph Embedding.
Linyu Li, Zhi Jin, Yuanpeng He, Dongming Jin, Yichi Zhang, Haoran Duan, Xuan Zhang, Zhengwei Tao, Tashi Nyima
2026Learning to Route: A Rule-Driven Agent Framework for Hybrid-Source Retrieval-Augmented Generation.
Haoyue Bai, Haoyu Wang, Shengyu Chen, Zhengzhang Chen, Lu-An Tang, Wei Cheng, Yanjie Fu, Haifeng Chen
2026Less is More: Compact Clue Selection for Efficient Retrieval-Augmented Generation Reasoning.
Qianchi Zhang, Hainan Zhang, Liang Pang, Yongxin Tong, Hongwei Zheng, Zhiming Zheng
2026Let It Try First: Uncertainty-Guided Retrieval Switching for Retrieval-Augmented Question Answering.
Xiaohai Wang, Yu Liang, Wei Zhou, Sixing Wu
2026Leveraging LLM and Multiscale Knowledge States to Improve Knowledge Tracing in Programming Tasks.
Mingxing Shao, Tiancheng Zhang, Yifang Yin, Wenhui Wu, Zikai Li, Minghe Yu, Fangling Leng, Ge Yu
2026Lifelong Sequential Recommendation with Adaptive Subsequence Compression and Contextual Fusion.
Fei Li, Xiaoming Liu, Jiayi Luo, Guibing Guo, Jianzhe Zhao, Xingwei Wang
2026Lifting Manifolds to Mitigate Pseudo-Alignment in LLM4TS.
Liangwei Nathan Zheng, Wenhao Liang, Wei Emma Zhang, Miao Xu, Olaf Maennel, Weitong Chen
2026Line Graphs Are Here! Unlock a Simple Solution for Data Sparsity and Class Imbalance in Recommender System.
Junming Zhou, Hao Zhong, Shupeng Li, Zhengyang Wu, Yong Tang, Ronghua Lin
2026Linguistic Signatures for Enhanced Emotion Detection.
Florian Lecourt, Madalina Croitoru, Konstantin Todorov
2026LiquidityPool: Game-Theoretic Analysis of Stakeholder Revenue in Ranking-Dependent DeFi.
Qinde Chen, Huawei Huang, Jian Zheng
2026LoRA-E
Shengkun Zhu, Jinshan Zeng, Yiming Wang, Sheng Wang, Yuan Sun, Shangfeng Chen, Yuan Yao, Qiang Yang
2026LoSemB: Logic-Guided Semantic Bridging for Inductive Tool Retrieval.
Luyao Zhuang, Qinggang Zhang, Huachi Zhou, Yujing Zhang, Xiao Huang
2026LoVR: A Benchmark for Long Video Retrieval in Multimodal Contexts.
Hao Liang, Qifeng Cai, Zhaoyang Han, Hejun Dong, Meiyi Qiang, Ruichuan An, Quanqing Xu, Bin Cui, Wentao Zhang
2026Long Story Short: Auditing U.S. Political Polarization in Recommendations for Long- vs. Short-form Videos on YouTube.
Shaokang Jiang, Arshia Arya, Seoyoung Kweon, Ivan Liang, Deepak Kumar, Kristen Vaccaro
2026Long-Tailed Recognition of Evidential Experts for Graph-level Classification.
Wei Ju, Siyu Yi, Zhengyang Mao, Yifang Qin, Yifan Wang, Zhiping Xiao, Yiwei Fu, Ziyue Qiao, Ming Zhang
2026LongRanker: Efficient One-Pass Document Reranking with Long-Context Large Language Models.
Changjiang Zhou, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
2026Longitudinal Trends in Global Climate Change Discourse on Facebook.
Md. Rafiul Biswas, Mabrouka Bessghaier, Shimaa Ibrahim, George K. Mikros, Wajdi Zaghouani
2026Lurkers, Interactors, Creators: Modeling Behavioral and Ideological Diversity on X.
Cai Yang, Kokil Jaidka, Yphtach Lelkes, Subhayan Mukerjee
2026MACA: A Multi-Agent Cognitive Adaptation Framework for Human-Agent Collaborative Decision Making.
Youn Jun Seong, Ha Young Oh
2026MARCH: Multi-Teacher Contrastive Hypergraph Distillation.
Rongwei Xu, Zitai Qiu, Pengfei Ding, Jia Wu, Yan Wang, Amin Beheshti, Guanfeng Liu
2026MASI: Memory-Adaptive Inference Framework for Spiking Neural Networks on Edge Devices.
Di Yu, Helin Zheng, Changze Lv, Xin Du, Linshan Jiang, Xiang Liu, Gang Pan, Shuiguang Deng
2026MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation.
Ranxu Zhang, Junjie Meng, Ying Sun, Ziqi Xu, Bing Yin, Hao Li, Yanyong Zhang, Chao Wang
2026MCP vs RAG vs NLWeb vs HTML: A Comparison of the Effectiveness and Efficiency of Different Agent Interfaces to the Web.
Aaron Steiner, Ralph Peeters, Christian Bizer
2026MCRec: Few-Shot Multimodal Cover Recommendation via User Interest Profiles.
Weixin Zheng, Chunyao Song, Tingjian Ge
2026MCoT-MVS: Multi-level Vision Selection by Multi-modal Chain-of-Thought Reasoning for Composed Image Retrieval.
Xuri Ge, Chunhao Wang, Xindi Wang, Zheyun Qin, Zhumin Chen, Xin Xin
2026MF
Bingjie Wang, Chao Zhang, Wentao Li, Deyu Li
2026MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM.
Tao Chen, Jingyi Zhang, Decheng Liu, Chunlei Peng
2026MGK-RAG: Multi-Granularity Knowledge Guided Retrieval-Augmented Generation for Radiology Report.
Jiaqing Ma, Xiaodong Yue, Yufei Chen, Jie Shi, Zhipeng Wei, Zeyu Jia
2026MIDE: Multimodal Dialogue Emotion Recognition via Mutual Information Enhancement and Dynamic Modality Selection.
Zhibo Zhang, Jianjun Li, Zhiyuan Ma
2026MIGC-CMamba: Cross-Domain Mamba with Multi-Scale Imaging and Granular-Ball Computing for Traffic Flow Prediction.
Wenxia Chang, Chao Zhang, Wentao Li, Deyu Li
2026MMTableBench: A Multi-level Multimodal Benchmark for Reasoning and Layout Complexity in Table QA.
Xianjie Wu, Xiaohang Xu, Tingyu Jiang, Jian Yang, Di Liang, Xianfu Cheng, Zhenhe Wu, Linzheng Chai, Wei Zhang, Jiaheng Liu, Ge Zhang, Bob Simons, Tongliang Li, Zhoujun Li
2026Machine Learning as a Service (MLaaS) Dataset Generator Framework for IoT Environments.
Deepak Kanneganti, Sajib Mistry, Sheik Mohammad Mostakim Fattah, Joshua Boland, Aneesh Krishna
2026Macro-Micro Collaborative Learning for Logical Data Center Microservice Indicators Forecasting.
Mohan Gao, Zhemeng Yu, Yang Luo, Lintao Ma, Yinbo Sun, Yuchen Fang, Xiaofeng Gao
2026Make It Long, Keep It Fast: End-to-End 10k-Sequence Modeling at Billion Scale on Douyin.
Lin Guan, Jia-Qi Yang, Zhishan Zhao, Beichuan Zhang, Bo Sun, Xuanyuan Luo, Jinan Ni, Xiaowen Li, Yuhang Qi, Zhifang Fan, Hangyu Wang, Qiwei Chen, Yi Cheng, Feng Zhang, Xiao Yang
2026Mamba Hawkes Process for Event Sequence Modeling.
Shan Dai, Yuyang Shen, Yuyang Liang, Chenhao Ma, Anningzhe Gao
2026Many Hands Make Light Work: Group-based Information Diffusion Prediction over Long-Context Cascades.
Zihan Feng, Yajun Yang, Xin Huang, Xin Wang, Hong Gao, Qinghua Hu
2026Marketing Hosting: From Fixed to Endogenous Budgets.
Bingzhe Wang, Tianyu Wang, Qi Qi, Xiaoxuan Deng, Zhilin Zhang, Chuan Yu
2026Matrix as Plan: Structured Logical Reasoning with Feedback-Driven Replanning.
Ke Chen, Jiandian Zeng, Zihao Peng, Guo Li, Guangxue Zhang, Tian Wang
2026Maximum Edge-based Quasi-Clique: Novel Iterative Frameworks.
Hongbo Xia, Shengxin Liu, Zhaoquan Gu
2026MePe: Rethinking Multimodal Chinese Idiom Reading Comprehension from a Metaphorical Perspective.
Tongguan Wang, Junkai Li, Feiyue Xue, Hui Liu, Dongyu Su, Wangjun Huang, Ying Sha
2026Measuring and Enhancing Human Value Alignment in Zero-Shot Document-Level Claim Extraction.
Yuanzhen Hao, Desheng Wu
2026Med-R
Keer Lu, Zheng Liang, Da Pan, Shusen Zhang, Guosheng Dong, Huang Leng, Bin Cui, Zhonghai Wu, Wentao Zhang
2026MemWeaver: A Hierarchical Memory from Textual Interactive Behaviors for Personalized Generation.
Shuo Yu, Mingyue Cheng, Daoyu Wang, Qi Liu, Zirui Liu, Ze Guo, Xiaoyu Tao
2026MemoTime: Memory-Augmented Temporal Knowledge Graph Enhanced Large Language Model Reasoning.
Xingyu Tan, Xiaoyang Wang, Qing Liu, Xiwei Xu, Xin Yuan, Liming Zhu, Wenjie Zhang
2026MessageShift: Fine-Grained Data Augmentation for Graph Neural Networks.
Weigang Lu, Zheng Liang, Yaming Yang, Ziyu Zheng, Meng Yan, Beilei Ling, Ziyu Guan, Wei Zhao
2026Meta-Learning Driven Few-Shot Knowledge Transfer with Dual-Stage Adaptive Data Replay for Cross-Domain Recommendation.
Yilei Qiu, Fei Xiong, Jun Hu, Shirui Pan, Liang Wang
2026MetaKube: An Experience-Aware LLM Framework for Kubernetes Failure Diagnosis.
Wei Sun, Ting Wang, Xinran Tian, Wanshun Lan, Xuhan Feng, Haoyue Li, Fangxin Wang
2026Meteor: High-Performance Control Message Delivery for Large-Scale Clouds.
Gongming Zhao, Baoqing Wang, Min Chen, Hongli Xu, Jiawei Liu, Xuwei Yang, Liguang Xie, Yongqiang Yang, Ying Xiong
2026Mind the Ambiguity: Aleatoric Uncertainty Quantification in LLMs for Safe Medical Question Answering.
Yaokun Liu, Yifan Liu, Phoebe Mbuvi, Zelin Li, Ruichen Yao, Gawon Lim, Dong Wang
2026MiniAMIE: Quick and Dirty Rule Mining on Knowledge Graphs.
Luis Galárraga, Julianne Guerbette, Isseïnie Sinouvassane, Paul Viallard
2026Mining Citywide Dengue Spread Patterns in Singapore Through Hotspot Dynamics from Open Web Data.
Liping Huang, Gaoxi Xiao, Stefan Ma, Hechang Chen, Shisong Tang, Flora D. Salim
2026Missingness-aware Federated Contrastive Learning on Semantic Graphs.
Shuo Yu, Zhuoyang Han, Guoqing Han, Tao Tang, Feng Ding, Qiang Zhang
2026Mitigating Cognitive Vulnerabilities in Code Generation via Multi-Agent Adversarial Debate.
Shuofu Liu, Quanjiang Guo, Xiao Liu, Ying Liu
2026Mitigating Cumulative Privacy Risk in Continual Information Sharing: A Dynamic Stackelberg Game Approach.
Yuzi Yi, Weixuan Wang, Yehong Luo, Jinqiao Shi, Jiwei Huang
2026Mitigating Dynamic Graph Distribution Shifts via Mixture of Variational Experts.
Qianyu Song, Chao Li, Yeyu Yan, Hui Zhou, Zhongying Zhao, Qingtian Zeng
2026Mitigating Fine-tuning Bias: A Parameter-Efficient Debiasing Framework for Large Language Models.
Qiuyu Li, Kun Zhang, Le Wu, Hao Liu, Hefei Xu, Xin Li, Si Wei
2026Mitigating Homophily Disparity in Graph Anomaly Detection: A Scalable and Adaptive Approach.
Yunhui Liu, Qizhuo Xie, Yinfeng Chen, Xudong Jin, Tao Zheng, Bin Chong, Tieke He
2026MixRAG : Mixture-of-Experts Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering.
Lihui Liu, Jiayuan Ding, Subhabrata Mukherjee, Carl Yang
2026Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation.
Xiao Lin, Zhicheng Tang, Weilin Cong, Mengyue Hang, Kai Wang, Yajuan Wang, Zhichen Zeng, Ting-Wei Li, Hyunsik Yoo, Zhining Liu, Xuying Ning, Ruizhong Qiu, Wen-Yen Chen, Shuo Chang, Rong Jin, Huayu Li, Hanghang Tong
2026MoE-LC: General-Purpose Lossless Compression for Multi-modal Data via Entropy-Aware Multi-Experts.
Zeyi Lu, Xiaoxiao Ma, Yujun Huang, Minxiao Chen, Bin Chen, Shu-Tao Xia
2026Model Editing for New Document Integration in Generative Information Retrieval.
Zhen Zhang, Zihan Wang, Xinyu Ma, Shuaiqiang Wang, Dawei Yin, Xin Xin, Pengjie Ren, Maarten de Rijke, Zhaochun Ren
2026Modeling Cascaded Delay Feedback for Online Net Conversion Rate Prediction: Benchmark, Insights and Solutions.
Mingxuan Luo, Guipeng Xv, Sishuo Chen, Xinyu Li, Li Zhang, Zhangming Chan, Xiang-Rong Sheng, Han Zhu, Jian Xu, Bo Zheng, Chen Lin
2026Modeling Endogenous Logic: Causal Neuro-Symbolic Reasoning Model for Explainable Multi-Behavior Recommendation.
Yuzhe Chen, Jie Cao, Youquan Wang, Haicheng Tao, Darko B. Vukovic, Jia Wu
2026Modeling Multimodal Information Cascade on Social Media with Interpretable Mixture of Experts.
Xin Jing, Zeyu Shi, Zhangtao Cheng, Yichen Jing, Yuhuan Lu, Bangchao Deng, Dingqi Yang
2026Modeling Point-to-Point Dependency for High-Dimensional Long-Term Series Forecasting.
Xinyu Li, Kexi Chen, Ying Zheng, Zhiyi Yao, Yi Xie, Jihan Dai, Lei Bai, Jin Zhao, Jiajie Shen, Yunqi Cai, Hong Lu, Xin Wang
2026Modeling Stage-wise Evolution of User Interests for News Recommendation.
Zhiyong Cheng, Yike Jin, Zhijie Zhang, Huilin Chen, Zhangling Duan, Meng Wang
2026Moral Outrage Shapes Commitments Beyond Attention: Multimodal Moral Emotions on YouTube in Korea and the US.
Seongchan Park, Jaehong Kim, Hyeonseung Kim, Heejin Bin, Sue Moon, Wonjae Lee
2026MuVaC: A Variational Causal Framework for Multimodal Sarcasm Understanding in Dialogues.
Diandian Guo, Fangfang Yuan, Cong Cao, Xixun Lin, Chuan Zhou, Hao Peng, Yanan Cao, Yanbing Liu
2026Multi-Agent Collaborative Filtering: Orchestrating Users and Items for Agentic Recommendations.
Yu Xia, Sungchul Kim, Tong Yu, Ryan A. Rossi, Julian J. McAuley
2026Multi-Aspect Mining and Anomaly Detection for Heterogeneous Tensor Streams.
Soshi Kakio, Yasuko Matsubara, Ren Fujiwara, Yasushi Sakurai
2026Multi-Behavior Sequential Modeling with Transition-Aware Graph Attention Network for E-Commerce Recommendation.
Hanqi Jin, Gaoming Yang, Zhangming Chan, Yapeng Yuan, Longbin Li, Fei Sun, Yeqiu Yang, Jian Wu, Yuning Jiang, Bo Zheng
2026Multi-Domain Marker Aggregation for Threat Detection in Cloud Environments.
Junshen Xu, Jiayun Zhang, Yi Fan
2026Multi-Granularity Multi-Modal Knowledge Graph Representation Learning via Subgraph-Aware Adaptive Fusion and Hierarchical Relation Modeling.
Peining Li, MeiYu Liang, Wei Huang, Junping Du, Zhe Xue, Guanhua Ye, Wu Liu, Lei Shi
2026Multi-Modal Enhanced Graph Transfer Learning for Digital Finance Fraud Detection.
Yuxin Liu, Stephen Chan, Jeffrey Chu, Yuanyuan Zhang, Chenguang Yang, Zihao Wang, Yulia R. Gel, Yuzhou Chen
2026Multi-Source Information Driven Spatio-Temporal Hypergraph Learning for Traffic Forecasting.
Ping Zhang, Jiayu Leng, Liang Yang, Anchen Li, Xiaochun Cao, Riting Xia
2026Multi-Source Unsupervised Graph Domain Adaptation via Concise Propagation-Transformation Pipeline.
Jiayi Wang, Yi Li, Xin Zheng, Junyang Chen, Yanqing Guo, Alan Wee-Chung Liew, Shirui Pan
2026Multi-Task Multi-Behavior Sequential Recommendation.
Weihao Du, Ziran Deng, Weike Pan, Zhong Ming
2026Multi-field Balance-aware Calibration of Predictions in Online Advertising.
Zi-Kang Wang, Lei Gong, Shu-Ting Shi, Lan-Zhe Guo, Muyu Zhang
2026Multi-modal Bipartite Graph Structure Learning with Information Bottleneck for Micro-video Recommendation.
Ying He, Desheng Cai, Shengsheng Qian, Quan Fang, Yinwei Wei, Changsheng Xu
2026Multi-source Multi-level Multi-token Ethereum Dataset and Benchmark Platform.
Haoyuan Li, Mengxiao Zhang, Maoyuan Li, Jianzheng Li, Zijian Zhang, Junyi Yang, Shuangyan Deng, Jiamou Liu
2026Multi-task Inference of Diffusion Networks.
Ting Gan, Kudereti Kuerban, Qian Yan, Ling Han, Zhigao Zheng, Hao Huang
2026Multi-view Hierarchical Graph Contrastive Learning based on Asynchronous Asymmetric Structure.
Chuangui Cao, Shifei Ding, Jian Zhang, Lili Guo, Xuan Li
2026Multi-view Semantic Contrastive Alignment for Multimodal Recommendation.
Jiuqiang Li, Hongjun Wang
2026MultiCheck: Strengthening Web Trust with Unified Multimodal Fact Verification.
Aditya Kishore, Gaurav Kumar, Jasabanta Patro
2026MultiFPT: Towards Multi-Attribute Fairness in Pre-Trained Graph Neural Networks via Prompt Tuning.
Meng Cao, Mingcai Chen, Shuangjie Li, Hualei Yu, Shuai Feng, Demin Gao
2026MultiHateLoc: Towards Temporal Localisation of Multimodal Hate Content in Online Videos.
Qiyue Sun, Tailin Chen, Yinghui Zhang, Yuchen Zhang, Jiangbei Yue, Jianbo Jiao, Zeyu Fu
2026Multilingual Reference Need Assessment System for Wikipedia.
Aitolkyn Baigutanova, Francisco Navas, Pablo Aragón, Mykola Trokhymovych, Muniza Aslam, Ai-Jou Chou, Miriam Redi, Diego Sáez-Trumper
2026Multimodal Graph Conditioned Diffusion Model for Video Captioning.
Benhui Zhang, Junyu Gao, Yuan Yuan
2026Multimodal Spatiotemporal Forecasting of Deepfake Propagation on Social Media.
Seoyoon Jeong, Jeeeun Kim, S. Shyam Sundar, Jinyoung Han
2026Multimodal Topic Discovery in Web Media via von Mises-Fisher Mixture Neural Topic Models.
Dayu Guo, Zhiwen Luo, Nizar Bouguila, Wentao Fan
2026Multimodal Trajectory Representation Learning for Travel Time Estimation.
Zhi Liu, Xuyuan Hu, Xiao Han, Zhehao Dai, Zhaolin Deng, Guojiang Shen, Xiangjie Kong
2026Multimodal-enhanced Federated Recommendation: A Group-wise Fusion Approach.
Chunxu Zhang, Weipeng Zhang, Guodong Long, Zhiheng Xue, Riting Xia, Bo Yang
2026Multistage Feedback-Driven Causal Discovery from Textual Data with Large Language Models.
Juntao Yang, Dayuan Cao, Kui Yu, Xiang Wang, Jing Yang, Lin Liu, Jiuyong Li
2026NERdME: A Named Entity Recognition Dataset for Indexing Research Artifacts in Code Repositories.
Genet Asefa Gesese, Zongxiong Chen, Shufan Jiang, Mary Ann Tan, Zhaotai Liu, Sonja Schimmler, Harald Sack
2026NEZHA: A Zero-sacrifice and Hyperspeed Decoding Architecture for Generative Recommendations.
Yejing Wang, Shengyu Zhou, Jinyu Lu, Ziwei Liu, Langming Liu, Maolin Wang, Wenlin Zhang, Feng Li, Wenbo Su, Pengjie Wang, Jian Xu, Xiangyu Zhao
2026Navigating Truth in Multimodal Fact-checking via Retrieval- and Reasoning-Enhanced Large Language Models.
Fanrui Zhang, Qiang Zhang, Jianwen Sun, Chuanhao Li, Jiaxin Ai, Yukang Feng, Zizhen Li, Kaipeng Zhang, Jiawei Liu, Zheng-Jun Zha
2026NeocorRAG: Less Irrelevant Information, More Explicit Evidence, and More Effective Recall via Evidence Chains.
Shiyao Peng, Qianhe Zheng, Zhuodi Hao, Zichen Tang, Rongjin Li, Qing Huang, Jiayu Huang, Jiacheng Liu, Yifan Zhu, Haihong E
2026Netting Phish in the IPFS Ocean: Real-Time Monitoring and Characterization of Decentralized Phishing Campaigns.
Anas Kastantin, Leonhard Balduf, Onur Ascigil, Saidu Sokoto, Björn Scheuermann, Andrzej Duda, Michal Król, Maciej Korczynski
2026Network Dismantling via Reverse Dismantling: Static and Dynamic Algorithms.
Jinyu Duan, Sijin Wang, Fan Zhang, Xiang Zhao, Wenjie Zhang, Zhihong Tian
2026Neuro-Sym Supporter: A Thoughtful Emotion Support Agent Integrating Neural and Symbolic Policy Learning.
Minghui Ma, Bin Guo, Mengqi Chen, Jingqi Liu, Yasan Ding, Yan Liu, Han Wang
2026Node Role-Guided LLMs for Dynamic Graph Clustering.
Dongyuan Li, Ying Zhang, Yaozu Wu, Renhe Jiang
2026Not All Candidates are Created Equal: A Heterogeneity-Aware Approach to Pre-ranking in Recommender Systems.
Pengfei Tong, Siyuan Chen, Chenwei Zhang, Bo Wang, Qi Pi, Pixun Li, Zuotao Liu
2026Not All Information Brings Benefits: Personalization-Driven Agent Debate for Conversational Recommendation.
Pengfei Zhang, Guojia An, Jin Huang, Yuhan Yang, Yang Yang, Jie Zou
2026OFA-MAS: One-for-All Multi-Agent System Topology Design based on Mixture-of-Experts Graph Generative Models.
Shiyuan Li, Yixin Liu, Yu Zheng, Mei Li, Quoc Viet Hung Nguyen, Shirui Pan
2026OMGRec: One-time Matching-based Generative Rerank with Permutation-level Modeling in E-commerce.
Junwei Xu, Zhibo Xiao, ChuXin Chen, Chengyu Lai, Qijie Shen, Jiuning Lin, Dimin Wang, Jialin Zhu, Xiao-Ping Zhang
2026ONE-PASS: Single Forward Pass Decoding for Listwise Reranking.
Yingpeng Du, Zhu Sun, Tianjun Wei, Jie Zhang
2026ONeRec: Towards Openness-Aware and Adaptive Proactive News Recommendation.
Jie Li, Zhen Cui, Linmei Hu
2026Octopus: Vehicle-to-Road Collaborative Perception for Autonomous Driving with Closed-Loop Fusion.
Ruikun Luo, Jiadong Zhao, Peize Su, Jieming Yang, Jing Yang, Yuan Gao, Minhui Xue, Xiaoyu Xia
2026Off-Policy Learning with Limited Supply.
Koichi Tanaka, Ren Kishimoto, Bushun Kawagishi, Yusuke Narita, Yasuo Yamamoto, Nobuyuki Shimizu, Yuta Saito
2026On the Effectiveness of Mempool-based Transaction Auditing.
Jannik Albrecht, Ghassan Karame
2026OneTrans: Unified Feature Interaction and Sequence Modeling with One Transformer in Industrial Recommender.
Zhaoqi Zhang, Haolei Pei, Jun Guo, Tianyu Wang, Yufei Feng, Hui Sun, Shaowei Liu, Aixin Sun
2026Online Advertising with Spatial Interactions.
Gagan Aggarwal, Yifan Wang, Mingfei Zhao
2026Online Bidding Algorithms with Strict Return on Spend (ROS) Constraint.
Rahul Vaze, Abhishek Sinha
2026Online GPU Energy Optimization with Switching-Aware Bandits.
Xiongxiao Xu, Solomon Abera Bekele, Brice Videau, Kai Shu
2026Online Rounding and Pricing Schemes for k-Rental Problems.
Hossein Nekouyan, Bo Sun, Raouf Boutaba, Xiaoqi Tan
2026Open or Blocked Skies? Community Moderation Practices in Bluesky.
Saidu Sokoto, Leonhard Balduf, Onur Ascigil, Gareth Tyson, Ignacio Castro, Björn Scheuermann, Andrea Baronchelli, Michal Król
2026OpenDecoder: Open Large Language Model Decoding to Incorporate Document Quality in RAG.
Fengran Mo, Zhan Su, Yuchen Hui, Jinghan Zhang, Jia Ao Sun, Zheyuan Liu, Chao Zhang, Tetsuya Sakai, Jian-Yun Nie
2026OpenDigger: A Practical Framework for Assessing Community Health and Sustainability in Open Source Collaboration Platforms.
Wei Wang, Fanyu Han, Shengyu Zhao, Xuan Zhou, Weining Qian, Aoying Zhou, Xiaoya Xia, Liyun Yang, Rong Wang, Ning Jiang, Moming Duan
2026Opinion Dynamics with Multiple Adversaries.
Akhil Jalan, Marios Papachristou
2026Optimizing Multi-Turn Interactive Recommendation Agents via Generative Intrinsic Motivation.
Xueyang Feng, Jiakai Tang, Xu Chen, Quanyu Dai, Zhenhua Dong
2026Orchestration-Free Customer Service Automation: A Privacy-Preserving and Flowchart-Guided Framework.
Mengze Hong, Chen Jason Zhang, Zichang Guo, Hanlin Gu, Di Jiang, Qing Li
2026Orion-Bix: Bi-Axial Attention for Tabular In-Context Learning.
Mohamed Bouadi, Pratinav Seth, Aditya Tanna, Vinay Kumar Sankarapu
2026P-Aligner: Pre-Aligning LLMs via Principled Instruction Synthesis.
Feifan Song, Bofei Gao, Yifan Song, Yi Liu, Weimin Xiong, Yuyang Song, Tianyu Liu, Guoyin Wang, Houfeng Wang
2026PADD: Prefix-based Attention Divergence Detector for LLM Jailbreaks.
Ziqun Bao, Jiaqiang Niu, Yuchen Shao, Chengcheng Wan
2026PAGE: Progressive Anomaly Generation Network for Semi-supervised Graph Anomaly Detection.
Ting Guo, Dongyu Pei, Gangzhu Qiao, Kaixuan Yao, Da Wang
2026PAMAS: Self-Adaptive Multi-Agent System with Perspective Aggregation for Misinformation Detection.
Zongwei Wang, Min Gao, Junliang Yu, Tong Chen, Chenghua Lin
2026PAOSC: Plug-and-play Attention Optimization for Semantic Consistency in LLMs.
Chang Li, Yawei Liu, Chun Long, Jing Zhao, Guanyao Du
2026PH-EMO: Decoding Emotions from the Brain Inward - EEG-Grounded Multimodal Reasoning with LLMs.
Kehong Liu, Yang Liu, Jiming Liu
2026PI2I: A Personalized Item-Based Collaborative Filtering Retrieval Framework.
Shaoqing Wang, Yingcai Ma, Kairui Fu, Ziyang Wang, Dunxian Huang, Yuliang Yan, Jian Wu
2026PIGCN: Physics-Inspired Graph Convolution Networks for Heterogeneous Social Event Detection.
Yongsheng Yu, Congbo Ma, Zitai Qiu, Shan Xue, Jian Yang, Jia Wu
2026PIXEL: Adaptive Steering Via Position-wise Injection with eXact Estimated Levels under a Subspace Calibration.
Manjiang Yu, Hongji Li, Priyanka Singh, Xue Li, Di Wang, Lijie Hu
2026PLIKD: Prompt Learning with Instance-aware Knowledge Distillation for Web-scale Semantic Image Classification.
Jianye Xie, Chunhua Hu, Lianyong Qi, Fan Wang, Xiaolong Xu, Haolong Xiang, Xuyun Zhang, Shichao Pei, Amin Beheshti, Wanchun Dou, Xiaokang Zhou
2026PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations.
Ruining He, Lukasz Heldt, Lichan Hong, Raghunandan H. Keshavan, Shifan Mao, Nikhil Mehta, Zhengyang Su, Alicia Tsai, Yueqi Wang, Shao-Chuan Wang, Xinyang Yi, Lexi Baugher, Baykal Cakici, Ed H. Chi, Cristos Goodrow, Ningren Han, He Ma, Rómer Rosales, Abby Van Soest, Devansh Tandon, Su-Lin Wu, Weilong Yang, Yilin Zheng
2026PMIScore: An Unsupervised Approach to Quantify Dialogue Engagement.
Yongkang Guo, Zhihuan Huang, Yuqing Kong
2026PRISM: LLM-Guided Semantic Clustering for High-Precision Topics.
Connor Douglas, Utkucan Balci, Joseph Aylett-Bullock
2026PRISM: Personalized Recommendation via Information Synergy Module.
Yutong Li, Xinyi Zhang, Peijie Sun, Letian Sha, Zhongxuan Han
2026PRoH: Dynamic Planning and Reasoning over Knowledge Hypergraphs for Retrieval-Augmented Generation.
Xiangjun Zai, Xingyu Tan, Xiaoyang Wang, Qing Liu, Xiwei Xu, Wenjie Zhang
2026PULSE: Socially-Aware User Representation Modeling Toward Parameter-Efficient Graph Collaborative Filtering.
Doyun Choi, Cheonwoo Lee, Biniyam Aschalew Tolera, Taewook Ham, Chanyoung Park, Jaemin Yoo
2026PWAVEP: Purifying Imperceptible Adversarial Perturbations in 3D Point Clouds via Spectral Graph Wavelets.
Haoran Li, Renyang Liu, Hongjia Liu, Chen Wang, Long Yin, Jian Xu
2026PairSem: LLM-Guided Pairwise Semantic Matching for Scientific Document Retrieval.
Wonbin Kweon, Runchu Tian, SeongKu Kang, Pengcheng Jiang, Zhiyong Lu, Jiawei Han, Hwanjo Yu
2026PaperAsk: A Benchmark for Reliability Evaluation of LLMs in Paper Search and Reading.
Yutao Wu, Xiao Liu, Yunhao Feng, Jiale Ding, Xingjun Ma
2026Pathways of Thoughts: Multi-Directional Thinking for Long-form Personalized Question Answering.
Alireza Salemi, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Zhuowan Li, Spurthi Amba Hombaiah, Weize Kong, Tao Chen, Hamed Zamani, Michael Bendersky
2026Pattern-aware Illicit Account Detection based on User Behavior Sequences.
Zehao Wang, Lanjun Wang, Fuxia Guo, Yanjie Dong
2026Pay for The Second-Best Service: A Game-Theoretic Approach against Dishonest LLM Providers.
Yuhan Cao, Yu Wang, Sitong Liu, Miao Li, Yixin Tao, Tianxing He
2026Pedestrian-Centric Discriminative and Fine-grained Semantic Mining for Text-based Person Retrieval.
Yuheng Liang, Haipeng Chen, Yu Liu, Yingda Lyu, Xue Wang
2026PeriNet: Periodic Deep Learning Framework for Modality-Agnostic Privacy Preserving.
Yan Zhang, Yihong Song, Manzhou Li, Qiushi Li, Qi Li, Ju Ren
2026Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures.
Yicheng Zhang, Zhen Qin, Zhaomin Wu, Jian Hou, Shuiguang Deng
2026Personalized Learning Path Planning through Goal-Driven Learner State Modeling.
Joy Lim Jia Yin, Ye He, Jifan Yu, Xin Cong, Daniel Zhang-Li, Zhiyuan Liu, Huiqin Liu, Lei Hou, Juanzi Li, Bin Xu
2026Personalized Parameter-Efficient Fine-Tuning of Foundation Models for Multimodal Recommendation.
Sunwoo Kim, Hyunjin Hwang, Kijung Shin
2026Physics-Aware Multimodal Urban Heat Mapping with Open Web Imagery and Mobility Data.
Yuanyi You, Yunke Zhang, Yong Li
2026Plan Then Retrieve: Reinforcement Learning-Guided Complex Reasoning over Knowledge Graphs.
Yanlin Song, Ben Liu, Víctor Gutiérrez-Basulto, Zhiwei Hu, Qianqian Xie, Min Peng, Sophia Ananiadou, Jeff Z. Pan
2026Platform Competition in the Autobidding World.
Gagan Aggarwal, Andrés Perlroth, Ariel Schvartzman, Mingfei Zhao
2026Playing Close to the Vest: Competitive Information Propagation in Partially Observed Dual-Population Mean-Field Games.
Dun Tan, Lixing Chen, Bo Zhang, Hongfu Liu, Hao Peng, Shenghong Li, Yang Bai, Pan Zhou
2026PolicySim: An LLM-Based Agent Social Simulation Sandbox for Proactive Policy Optimization.
Renhong Huang, Ning Tang, Jiarong Xu, Yuxuan Cao, Qingqian Tu, Sheng Guo, Bo Zheng, Huiyuan Liu, Yang Yang
2026Position Auctions in AI-Generated Content.
Santiago R. Balseiro, Kshipra Bhawalkar, Yuan Deng, Zhe Feng, Jieming Mao, Aranyak Mehta, Vahab Mirrokni, Renato Paes Leme, Di Wang, Song Zuo
2026Post-hoc Popularity Bias Correction in GNN-based Collaborative Filtering.
Md Aminul Islam, Elena Zheleva, Ren Wang
2026Practical Group Steiner Tree Algorithms for Web Applications with Many Groups.
Qicheng Shan, Yuxuan Yang, Gong Cheng
2026Predictability-Aware Compression and Decompression Framework for Multichannel Time Series Data with Latent Seasonality.
Ziqi Liu, Pei Zeng, Yi Ding
2026Predicting Expectancy Violations Using Eye-Tracking Features: A Machine Learning Approach.
Sakrapee Paisalnan, Yashar Moshfeghi
2026Prism: Towards Lowering User Cognitive Load in LLMs via Complex Intent Understanding.
Zenghua Liao, Jinzhi Liao, Xiang Zhao
2026PrivSniffer: Graph-based Contextual Privacy Leakage Detection for User-Generated Texts.
Hangyu Ye, Liyao Xiang, Naixuan Huang, Dongyue Yu, Lijun Zhang, Gang Wang
2026PrivSplit: A Lossless Method for Prompt Privacy in Distributed Parameter-Efficient Fine-Tuning.
Wujia Niu, Lan Zhang, Haoran Cheng, Shen Li
2026Privacy-Friendly Adaptation of Vision Transformers for Communication and Latency-Efficient Private Inference.
Zhi Pang, Bo Feng, Meng Luo, Chenhao Liu, Shuwang Xu, Kai Zhao, Yadi Wu, Bo Zeng
2026Probe-and-Fetch: Dynamic KV Cache Pruning for Accelerated Long-Context Inference in Web-Scale AI Search.
Yuchen Li, Rui Kong, Xinran Chen, Chengzhe Zhang, Jiamin Chen, Cheng Deng, Xinyu Ma, Haojie Zhang, Tianhao Peng, Hengyi Cai, Shuaiqiang Wang, Jiashu Zhao, Yongqi Zhang, Haoyi Xiong, Jimmy Xiangji Huang, Lei Chen, Jun Wang, Dawei Yin
2026Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026.
Hakim Hacid, Yoelle Maarek, Francesco Bonchi, Ido Guy, Emine Yilmaz
2026Prompt-Induced Linguistic Fingerprints for LLM-Generated Fake News Detection.
Chi Wang, Min Gao, Zongwei Wang, Junwei Yin, Kai Shu, Chenghua Lin
2026Proteus: Towards Accurate and Low-overhead In-Network Malicious Traffic Detection.
Longlong Zhu, Linying Zheng, Qing Shu, Zedi Chen, Jiashuo Yu, Yuhan Wu, Shaopeng Zhou, Hongyan Liu, Dong Zhang, Chunming Wu, Xiang Chen
2026Prototype Augmentation-based Edge-end Heterogeneous Collaborative Learning.
Enze Yu, Penghuan Cheng, Haipeng Dai, Haihan Zhang, Sujin Hou, Meng Li, Zhenzhe Zheng, Qiang He, Guihai Chen
2026Prototype-Aligned Federated Soft-Prompts for Continual Web Personalization.
Canran Xiao, Liwei Hou
2026ProvGuard: Logic-Aware Multi-View Contrastive Learning for Robust and Efficient Host Threat Detection.
Anyuan Sang, Li Yang, Lu Zhou, Cheng Zhou, Junbo Jia, Huipeng Yang
2026PruneRAG: Confidence-Guided Query Decomposition Trees for Efficient Retrieval-Augmented Generation.
Shuguang Jiao, Xinyu Xiao, Yunfan Wei, Shuhan Qi, Chengkai Huang, Quan Z. Sheng, Lina Yao
2026QChunker: Learning Question-Aware Text Chunking for Domain RAG via Multi-Agent Debate.
Jihao Zhao, Daixuan Li, Pengfei Li, Shuaishuai Zu, Biao Qin, Hongyan Liu
2026QDDR: Quality-Driven Intent Disentanglement with Dual-Path Modeling for Recommendation.
Nengjun Zhu, Yixun Lu, Qi Zhang
2026Quantifying User Coherence: A Unified Framework for Analyzing Recommender Systems Across Domains.
Michaël Soumm, Alexandre Fournier Montgieux, Adrian Popescu, Bertrand Delezoide
2026Quantum-enhanced Representation Learning and Matching Learning for Recommendation.
Anchen Li, Elena Casiraghi
2026Question the Questions: Auditing Representation in Online Deliberative Processes.
Soham De, Lodewijk Gelauff, Ashish Goel, Smitha Milli, Ariel D. Procaccia, Alice Siu
2026QuiZSF: A Retrieval-Augmented Framework for Zero-Shot Time Series Forecasting.
Shichao Ma, Zhengyang Zhou, Qihe Huang, Binwu Wang, Yang Wang
2026R2NS: Recall and Re-ranking of Negative Samples for Sequential Recommendation.
Yuanzi Li, Xuri Ge, Jingyu Zhao, Yidan Wang, Jiyuan Yang, Zhumin Chen, Zhaochun Ren, Xin Xin
2026RAFed: Responsive Augmentation and Approximate Update Method for Federated Learning with Non-IID Data.
Yicheng Di, Zhanjie Zhang
2026RAG-GFM: Overcoming In-Memory Bottlenecks in Graph Foundation Models via Retrieval-Augmented Generation.
Haonan Yuan, Qingyun Sun, Jiacheng Tao, Xingcheng Fu, Jianxin Li
2026RAIE: Region-Aware Incremental Preference Editing with LoRA for LLM-based Recommendation.
Jin Zeng, Yupeng Qi, Hui Li, Chengming Li, Ziyu Lyu, Lixin Cui, Lu Bai
2026RARD: Rationale-First Blockwise Autoregressive Diffusion in Rationale?Dominated Graph Generation.
Fan Xu, Yijun Zhang, Sibo Zhang, Jiaxin Ding, Luoyi Fu, Xinbing Wang
2026RASTP: Representation-Aware Semantic Token Pruning for Generative Recommendation with Semantic Identifiers.
Tianyu Zhan, Kairui Fu, Zheqi Lv, Shengyu Zhang
2026RMBRec: Robust Multi-Behavior Recommendation towards Target Behaviors.
Miaomiao Cai, Zhijie Zhang, Junfeng Fang, Zhiyong Cheng, Xiang Wang, Meng Wang
2026RPO-RAG: Aligning Small LLMs with Relation-aware Preference Optimization for Knowledge Graph Question Answering.
Kaehyun Um, Kyuhwan Yeom, Haerim Yang, Minyoung Choi, Hyeongjun Yang, Kyong-Ho Lee
2026RaDAR: Relation-aware Diffusion-Asymmetric Graph Contrastive Learning for Recommendation.
Yixuan Huang, Jiawei Chen, Shengfan Zhang, Zongsheng Cao
2026Re-Diffusion: Modeling Latent Residuals with Diffusion for Time-Series Forecasting.
Boning Zhang, Haishuai Wang, Zehong Hu, Jiajun Wang, Hongyi Zhang, Jia Jia
2026Re-understanding Graph Unlearning through Memorization.
Pengfei Ding, Yan Wang, Guanfeng Liu
2026ReFuGe: Feature Generation for Prediction Tasks on Relational Databases with LLM Agents.
Kyungho Kim, Geon Lee, Juyeon Kim, Dongwon Choi, Shinhwan Kang, Kijung Shin
2026ReMi-ReMath: A Reverse-Mutual Reasoning Framework for Enhancing Mathematical Thinking in Small Language Models.
Dae Kyoo Kim, Sang Kyu Moon, Eunil Park
2026ReRule: Temporal Rule-Augmented Language Modeling for Causal Event Chain Completion.
Wei Zhang, Shufeng Hao, Chongyang Shi, Usman Naseem, Jinyan Liu, Ziyu Li
2026ReSuMe: Retriever-Summarizer Mutual Enhancement via Reinforcement Learning.
Owais Makroo, Nikhil Pattisapu, Karan Gupta, Ankit Gandhi, Vijay Huddar, Atul Saroop
2026ReaLM: Residual Quantization Bridges Knowledge Graph Embeddings and Large Language Models.
Wenbin Guo, Xin Wang, Jiaoyan Chen, Lingbing Guo, Zhao Li, Zirui Chen
2026Read as You See: Guiding Unimodal LLMs for Low-Resource Explainable Harmful Meme Detection.
Fengjun Pan, Xiaobao Wu, Tho Quan, Anh Tuan Luu
2026Reading Between the Lines: Towards Reliable Black-box LLM Fingerprinting via Zeroth-order Gradient Estimation.
Shuo Shao, Yiming Li, Hongwei Yao, Yifei Chen, Yuchen Yang, Zhan Qin
2026Real or Rogue? Detecting Malicious Miniapps with Deceptive Reporting Interface.
Yuqing Yang, Zhiqiang Lin
2026Real-Time Trend Prediction via Continually-Aligned LLM Query Generation.
Zijing Hui, Wenhan Lyu, Shusen Wang, Li Chen, Chu Wang
2026Reasoning by Exploration: A Unified Approach to Retrieval and Generation over Graphs.
Haoyu Han, Kai Guo, Harry Shomer, Yu Wang, Yucheng Chu, Hang Li, Li Ma, Jiliang Tang
2026Reconstructing Training Data from Adapter-based Federated Large Language Models.
Silong Chen, Yuchuan Luo, Guilin Deng, Yi Liu, Ming Xu, Shaojing Fu, Xiaohua Jia
2026Red-Teaming Privacy-Protective Perturbations: Blind Face Restoration as an Attack Strategy.
Zelin Li, Yifan Liu, Huimin Zeng, Yaokun Liu, Ruichen Yao, Yang Zhang, Dong Wang
2026RegimeGuard: Continual Learning Queue Scheduling for Socially Critical Web Services.
Zhipeng Liu, Ziming Zhao, Fan Zhang
2026Reinforcement Learning with Verbalized Probabilities for LLM Classification.
Liyao Li, Hao Chen, Jiaming Tian, Wentao Ye, Lirong Gao, Chao Ye, Ningtao Wang, Xing Fu, Yu Cheng, Haobo Wang, Gang Chen, Junbo Zhao
2026Reinforcement Learning-Constrained Segmented User Modeling with Large Language Models for Recommendation.
Yu Xia, Qing Tan, He Chen, Jingyu Chen, Qian Dong
2026Relation-Aware Multimodal Analogical Reasoning with Modality Fingerprints and Adaptive Gating.
Ruofan Wang, Zijian Huang, Qiqi Wang, Yuchen Su, Robert Amor, Kaiqi Zhao, Meng-Fen Chiang
2026Relational Database Distillation: From Structured Tables to Condensed Graph Data.
Xinyi Gao, Jingxi Zhang, Lijian Chen, Tong Chen, Lizhen Cui, Hongzhi Yin
2026Reliable Non-Leveled Homomorphic Encryption for Web Services.
Baigang Chen, Dongfang Zhao
2026Resisting Manipulative Bots in Meme Coin Copy Trading: A Multi-Agent Approach with Chain-of-Thought Reasoning.
Yichen Luo, Yebo Feng, Jiahua Xu, Yang Liu
2026Rethink Web Service Resilience in Space: A Radiation-Aware and Sustainable Transmission Solution.
Long Chen, Hao Fang, Yi Ching Chou, Haoyuan Zhao, Xiaoyi Fan, Zhe Chen, Hengzhi Wang, Jiangchuan Liu
2026Rethinking Graph Generalization through the Lens of Sharpness-Aware Minimization.
Yang Qiu, Yixiong Zou, Jun Wang
2026Rethinking Implicit Hate Speech Detection: Focusing on Latent Hate Components via Dual-Process Argumentation.
Shiqi Sun, Du Su, Wei Chen, Xueqi Cheng
2026Rethinking MoE with Retrieval-Memory Synergy: Towards Efficient Expert Coordination.
Wanjie Tao, Qun Dai, Yantong Lv, Quan Lu, Ning Jiang, Zulong Chen
2026Rethinking Soft Compression in Retrieval-Augmented Generation: A Query-Conditioned Selector Perspective.
Yunhao Liu, Zian Jia, Xinyu Gao, Kanjun Xu, Yun Xiong
2026Rethinking the Hidden Risk of Reranking: Achieving Risk-aware Reranking with Information Gain for RAG with LLMs.
Zhizhao Liu, Zhihua Wen, Zhiliang Tian, Zhen Huang, Miaorong Zhu, Zimian Wei, Yifu Gao, Liang Ding, Dongsheng Li
2026Retracing and Restoring: Chronological Context Preservation for Effective Dynamic Recommendation.
Min-Jeong Kim, Jiwon Son, Yeon-Chang Lee, Sang-Wook Kim
2026Retrieval Collapses When AI Pollutes the Web.
Hongyeon Yu, Dongchan Kim, Young-Bum Kim
2026Revisiting Graph-Level Anomaly Detection: From Partially to Fully Unsupervised Learning.
Zhenyu Yang, Ge Zhang, Shan Xue, Xiaoxiao Ma, Jian Yang, Hao Peng, Amin Beheshti, Jia Wu
2026Revisiting IPS-based Algorithms for Off-Policy Evaluation of Contextual Bandits.
Daria Korovaitceva, Marina Sheshukova, Evgeny Frolov, Sergey Samsonov
2026Revisiting and Enhancing Graph Neural Networks through the Lens of Amortized Flows.
Minjie Cheng, Bokai Yan, Dixin Luo, Hongteng Xu
2026Rhythm of Opinion: Interpretable Hawkes-Graph Networks for Hierarchical Opinion Propagation.
Yulong Li, Zhixiang Lu, Peixin Guo, Simin Lai, Yuxuan Zhang, Haochen Xue, Xiwei Liu, Yichen Li, Zhaodong Wu, Feilong Tang, Mian Zhou, Chong Li, Imran Razzak, Qingxia Li, Jionglong Su
2026Riemannian Graph Tokenizer for Structural Knowledge Transfer.
Qimin Zhou, Haibo Liu, Yujie Wang, Li Sun, Chuan Shi
2026Riemannian Liquid Spatio-Temporal Graph Network.
Liangsi Lu, Jingchao Wang, Zhaorong Dai, Hanqian Liu, Yang Shi
2026Risk-free Selfish Mining in Hybrid Predictability Model. A Case Study on Polkadot's NPoS.
Mingfei Zhang, Rujia Li, Xinyu Lei, Sisi Duan
2026RoFiRe: Robust Website Fingerprinting on Real-World Tor Traffic via Improved Augmentation and Normalization.
Haeseung Jeon, Sujin Kim, Nate Mathews, Hosung Kang, Se Eun Oh
2026Robust Fake News Detection using Large Language Models under Adversarial Sentiment Attacks.
Sahar Tahmasebi, Eric Müller-Budack, Ralph Ewerth
2026Robust LLM-Based Website Fingerprinting under Dynamic Real-World Conditions.
Xiyuan Zhao, Xinhao Deng, Tianyu Cui, Yixiang Zhang, Ke Xu, Qi Li
2026Room Matters: Dynamic Room-level Collaboration Information Modeling for Live Streaming Recommendation.
Ke Guo, Changle Qu, Xiao Zhang, Liqin Zhao, Shijun Wang, Yanan Niu, Jun Xu
2026Route-and-Reason: Energy-Efficient Scaling of LLM Reasoning via Reinforced Model Routing.
Chenyang Shao, Xinyang Liu, Yutang Lin, Fengli Xu, Yong Li
2026S
Xiaodong Li, Juwei Yue, Xinghua Zhang, Jiawei Sheng, Wenyuan Zhang, Taoyu Su, Zefeng Zhang, Tingwen Liu
2026S-Path-RAG: Semantic-Aware Shortest-Path Retrieval Augmented Generation for Multi-Hop Knowledge Graph Question Answering.
Rong Fu, Yemin Wang, Tianxiang Xu, Yongtai Liu, Weizhi Tang, Wangyu Wu, Xiaowen Ma, Simon Fong
2026SAGE-Prompt: Structured Attribution Guarded Explanation for Explainable Deepfake Question Answering.
Jong-Chan Park, Myeongjun Kim, So-Hee Lim, Sang-Min Choi, Gun-Woo Kim
2026SAGE-RAI: Design Patterns for Transparent RAG Systems.
Joseph Kwarteng, Aisling Third, Alexander Mikroyannidis, David Tarrant, John Domingue
2026SAGE: Global Semantic Alignment with LLMs for Long-Tail Sequential Recommendation.
Maolin Wang, Tongshu Bian, Ziyan Wang, Xiaotong Jiang, Binhao Wang, Derong Xu, Wanyu Wang, Ruocheng Guo, Xiangyu Zhao
2026SAGE: Sustainable Agent-Guided Expert-tuning for Culturally Attuned Translation in Low-Resource Southeast Asia.
Zhixiang Lu, Chong Zhang, Yulong Li, Angelos Stefanidis, Anh Nguyen, Imran Razzak, Jionglong Su, Zhengyong Jiang
2026SCOUT: Structure-Aware Aspect and Anchor-Count Selection for Node Attribute Augmentation via Positional Information.
Dong-Hyuk Seo, Sein Kim, Taeri Kim, Won-Yong Shin, Sang-Wook Kim
2026SDR-CIR: Semantic Debias Retrieval Framework for Training-Free Zero-Shot Composed Image Retrieval.
Yi Sun, Jinyu Xu, Qing Xie, Jiachen Li, Yanchun Ma, Yongjian Liu
2026SEAR: LLM-Powered Sequential Recommendation via Fusion of Collaborative, Semantic, and Rating Information.
Wei Guan, Jian Cao, Qiqi Cai, Jianqi Gao, Jinyu Cai, See-Kiong Ng
2026SEER: Set Encoding for Efficient Representation in Large-Scale E-commerce.
Yining Lin, Yuming Shen, Yipeng Zhang, Canran Xu
2026SEMixer: Semantics Enhanced MLP-Mixer for Multiscale Mixing and Long-term Time Series Forecasting.
Xu Zhang, Qitong Wang, Peng Wang, Wei Wang
2026SEP-Attack: A Simple and Effective Paradigm for Transfer-Based Textual Adversarial Attack.
Han Liu, Zhi Xu, Xiaotong Zhang, Feng Zhang, Xiaoming Xu, Wei Wang, Fenglong Ma, Hong Yu
2026SGExplainer: Balanced Path-based Signed Graph Neural Network Explanation for Link Sign Prediction.
Jie Gao, Jia Hu, Geyong Min, Fei Hao
2026SIR-Teach: Student-Implicit Reward Teaching.
Haochen You, Baojing Liu
2026SIT-KGED: Simply Inject Topology into LLM for Knowledge Graph Error Detection.
Ting Li, Xingyi Mao, Yipeng Yu, Liang Yao
2026SIsomap: Secure Collaborative Manifold Learning with Reducing Communication Costs.
Peizhao Zhou, Xiaojie Guo, Pinzhi Chen, Ranyang Liu, Lihai Nie, Tong Li, Zheli Liu
2026SLFM: Semi-Supervised Local Community Detection Based on Hyperbolic Flow Matching.
Haixu Xiong, Li Sun, Yun Xiong, Suyang Zhou, Hongrun Ren, Yangyong Zhu
2026SMART: A Social Movement Analysis & Reasoning Tool with Case Studies on #MeToo and #BlackLivesMatter.
Valerio La Gatta, Marco Postiglione, Jeremy Gilbert, Daniel W. Linna Jr., Morgan Manella Greenfield, Aaron Shaw, V. S. Subrahmanian
2026SPCA: Stream Parser Confusion Attack for Web Application Firewall Evasion in HTTP/2.
Kyungrok Choi, Woonghee Lee, Junbeom Hur
2026SPGCL: Subgraph Pattern-Aware Graph Contrastive Learning for High-Order Structural Representation.
Zhe Zhan, Xiangshi Li, Tingting Wang, Shuo Yu, Henan Lei
2026SQL-Checker: Error Detection and Labeling for Text-to-SQL with Interpretability Analysis.
Xingyu Ma, Xin Tian, Lingxiang Wu, Xuepeng Wang, Xueming Tang, Jinqiao Wang
2026ST-LEGO: Large Language Models as Modular Architects for Traffic Prediction.
Shuhao Li, Weidong Yang, Yue Cui, Lipeng Ma, Yixuan Li, Chaoteng Wu, Lu Qin, Fan Zhang
2026STAR: Semantic Table Representation with Header-Aware Clustering and Adaptive Weighted Fusion.
Shui-Hsiang Hsu, Tsung-Hsiang Chou, Chen-Jui Yu, Yao-Chung Fan
2026STARK: Structure-Aware and Adaptive Representation Learning for Continual Knowledge Graph Embedding.
Kyung-hwan Lee, Dong-Wan Choi
2026STELA: Spatiotemporal Forecasting via Graph Learning and Entropy-Guided LLM Adaptation.
Tiantian Huang, Yue Li, Wei Shao, Ziqi Xu, Qipeng Song, Hui Li
2026STG-DGR: Fraud Detection on Streaming Transaction Graphs with Diffusion-based Generative Replay.
Rui Ou, Kun Zhu, Nana Zhang, Jiangtong Li, Chaochao Chen, Changjun Jiang
2026STPWR: A Spatiotemporal Prediction-based Worker Pre-Recruitment Framework for Mobile Crowd Sensing.
Guisong Yang, Yuchen Yang, Yunbo Shen, Xingyu He, Jianheng Tang, Yunhuai Liu, Chengji Xu
2026STaR: Towards Effective and Stable Table Reasoning via Slow-Thinking Large Language Models.
Huajian Zhang, Mingyue Cheng, Yucong Luo, Xiaoyu Tao
2026SaGD: A Node-Level Differentially Private Graph Learning Framework with Sensitivity-Aware Gradient Descent.
Jianxin Wei, Ergute Bao, Xiaokui Xiao, Ting Yu
2026Safeguarding Children at Scale: Cost-Effective Multimodal LLM Detection of Inappropriate YouTube Advertising.
Eman Nabeel, Haleema Jamil, Shizza Asher, Zaeem Mohtashim Khan, Nida Tanveer, Ihsan Ayyub Qazi, Zafar Ayyub Qazi
2026Same Last-Item Confusion Unveiled: A Unified Mitigation Framework for Graph Learning in Session-Based Recommendation.
Jinpeng Chen, Jianxiang He, Yuan Cao, Huan Li, Zhenye Yang, Kaimin Wei, Xiongnan Jin, Senzhang Wang, Weiping Tu
2026Scalable and Provable Biclique-Preserving Clustering: The Power of Counting-based Approaches.
Longlong Lin, Zeli Wang, Rong-Hua Li, Xiaohai Dai, Li Ni, Jin Zhao
2026ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion.
Xiang Li, Jianpeng Qi, Haobing Liu, Yuan Cao, Guoqing Chao, Zhongying Zhao, Junyu Dong, Xinwang Liu, Yanwei Yu
2026Scaling Collaborative Filtering with Multimodal Contrastive Fine-tuning.
Liwei Jin, Dan Luo, Lixin Zou, Chenliang Li, Xiangyang Luo, Xixun Lin, Liming Dong, Yifan Zhang
2026ScotRec: Social Chain-of-Thought LLM Reasoning for Recommendation.
Kaibei Li, Jie Zou, Qika Lin, Weikang Guo, Qinyang He, Yang Yang
2026SeaRAG: Reducing Hallucination in Retrieval-Augmented Generation via Statement-Entity Adaptive Ranking.
Xiaosong Yuan, Xiaofeng Zhang, Di Zhao, Yijia Zhang, Ying Wang
2026SecureSplit: Mitigating Backdoor Attacks in Split Learning.
Zhihao Dou, Dongfei Cui, Weida Wang, Anjun Gao, Yueyang Quan, Mengyao Ma, Viet Vo, Guangdong Bai, Zhuqing Liu, Minghong Fang
2026Securing Your Place in the Review Network: A Dynamic Embeddedness-aware Graph Neural Network for Restaurant Survival Prediction.
Yilong Zang, Hengyun Li, Bruce X. B. Yu, Liangfei Qiu
2026Self-Evolving LLMs via Continual Instruction Tuning.
Jiazheng Kang, Le Huang, Cheng Hou, Zhe Zhao, Zhenxiang Yan, Ting Bai
2026Self-Speculative Decoding for On-device MoE Acceleration.
Peirong Zheng, Wenchao Xu, Haozhao Wang
2026SemFuzz: A Semantics-Aware Fuzzing Framework for Network Protocol Implementations.
Yanbang Sun, Quan Luo, Yuelin Wang, Qian Chen, Benjin Liu, Ruiqi Chen, Qing Huang, Xiaohong Li, Junjie Wang
2026SemaCDR: LLM-Powered Transferable Semantics for Cross-Domain Sequential Recommendation.
Chunxu Zhang, Shanqiang Huang, Zijian Zhang, Jiahong Liu, Linsong Yu, Ruiqi Wan, Bo Yang, Irwin King
2026Semi-Supervised Fake News Detection with Mixture of Experts.
Zhenyu Yang, Chaoyu Yang, Wenfeng Xu, Xiuxiu Hao, Huan Wang, Ge Zhang, Xiaoxiao Ma, Jun Shen
2026SentinelNet: Safeguarding Multi-Agent Collaboration Through Credit-Based Dynamic Threat Detection.
Yang Feng, Xudong Pan
2026ShadowClone: Scalable Decentralized Identity with Cross-Domain Anonymity and Accountable Traceability.
Yizhong Liu, Zedan Zhao, Boyu Zhao, Na Wang, Haojun Tan, Jianwei Liu
2026Sharpness-Aware Minimization for Generalized Embedding Learning in Federated Recommendation.
Fengyuan Yu, Xiaohua Feng, Yuyuan Li, Changwang Zhang, Jun Wang, Chaochao Chen
2026Sharpness-Consistent Cross-Domain Recommendation for Cold-Start Items.
Ke Fei, Jingjing Li, Zhekai Du, Hongbo Chen
2026Shift-Resilient Diffusive Imputation for Variable Subset Forecasting.
Haihua Xu, Qi Hao, He Zhang, Jianpeng Zhao, Ziyue Qiao, Lu Jiang, Pengfei Wang, Yingjie Zhou, Pengyang Wang
2026Simple-Sampling and Hard-Mixup with Prototypes to Rebalance Contrastive Learning for Text Classification.
Mengyu Li, Yonghao Liu, Fausto Giunchiglia, Ximing Li, Xiaoyue Feng, Renchu Guan
2026Single-Sample Bilateral Trade with a Broker.
MohammadTaghi Hajiaghayi, Gary Peng, Suho Shin
2026SketchMind: Understanding Abstract Sketches with MLLMs for Fine-Grained Sketch-Based Image Retrieval.
Changxing Li, Donglin Zhang, Zhikai Hu, Xiao-Jun Wu, Josef Kittler
2026SkyCL: Swift Continuous Learning with Kinship-Awareness for Multi-Drone Video Analytics under Drastic Drift.
Yuanzheng Tan, Qing Li, Jiaqi Cui, Junkun Peng, Gareth Tyson, Zhenhui Yuan, Tingting Yang, Yong Jiang
2026SliceGX: Layer-wise GNN Explanation with Model-slicing.
Cibo Yu, Tingting Zhu, Tingyang Chen, Yinghui Wu, Arijit Khan, Xiangyu Ke
2026Smaller but Better: Plasticity-Preserving Continual Learning for Embedded AI.
Chenxin Mao, Haibo Liu, Zhenzhe Zheng, Fan Wu, Guihai Chen
2026Smart Eye: LLM-Guided Proposer-Verifier Framework for Industrial-Scale Log Anomaly Detection.
Changhua Pei, Hang Cui, Jingjing Li, Yuxuan Li, Zihan Liu, Xinyuan Liao, Cenjie Hu, Jiabao Wang, Zheyuan Li, Zexin Wang, Haotian Si, Ke Xiang, Gaogang Xie, Dan Pei
2026Social Deliberation: Democratic Deliberation Through Unbiased Social Interactions.
Dana Afazeli, Mohamad Latifian, Masoud Seddighin
2026Social Event Prediction via Fourier Graph Learning.
Mingjie Qiu, Zhiyi Tan, Bing-Kun Bao
2026SoftHateBench: Evaluating Moderation Models Against Reasoning-Driven, Policy-Compliant Hostility.
Xuanyu Su, Diana Inkpen, Nathalie Japkowicz
2026Source Localization in Continuous-Time Propagation via Spectral ODE Modeling.
Dongpeng Hou, Yuchen Wang, Giulio Cimini, Roberto Benzi, Huixiang Zhang, Zhen Wang, Chao Gao
2026Space-based Parameter Evolving with Lightweight Optimization for Graph Adaptation to Evolving Shifts.
Junyu Luo, Zixuan Ouyang, Xiao Luo, Hourun Li, Zhiping Xiao, Yifan Wang, Ming Zhang
2026Spattack: Subgroup Poisoning Attacks on Federated Recommender Systems.
Bo Yan, Yurong Hao, Dingqi Liu, Huabin Sun, Pengpeng Qiao, Wei Yang Bryan Lim, Yang Cao, Chuan Shi
2026Spectral Disentanglement and Enhancement: A Dual-domain Contrastive Framework for Representation Learning.
Jinjin Guo, Yexin Li, Zhichao Huang, Jun Fang, Zhiyuan Liu, Chao Liu, Pengzhang Liu, Qixia Jiang
2026Spiking Graph Predictive Coding for Reliable OOD Generalization.
Jing Ren, Jiapeng Du, Bowen Li, Ziqi Xu, Xin Zheng, Hong Jia, Suyu Ma, Xiwei Xu, Feng Xia
2026Starlink in the Wild: Multi-Perspective Measurements via DNS.
Ruoxuan Xia, Bingyu Li, Zhenyu Chen, Pengyu Yuan, Yunjia Wang, Xiaofeng Zheng, Jingqiang Lin
2026Stochastic Wage Suppression on Gig Platforms and How to Organize Against It.
Ana-Andreea Stoica, Celestine Mendler-Dünner, Moritz Hardt
2026Strategic Content Creation with GenAI: To Share or Not to Share?
Gur Keinan, Omer Ben-Porat
2026StreamFP: Fingerprint-guided Data Selection for Efficient Stream Learning.
Changwu Li, Tongjun Shi, Shuhao Zhang, Binbin Chen, Bingsheng He, Xiaofei Liao, Hai Jin
2026StreamSense: Streaming Social Task Detection with Selective Vision-Language Model Routing.
Han Wang, Deyi Ji, Lanyun Zhu, Jiebo Luo, Roy Ka-Wei Lee
2026Structure Over Scale: Diagnosing Liquidity Fragility in Concentrated-Liquidity AMMs.
Qiangqiang Liu, Runfa Jiang, Qian Huang, Frank Fan, Kunpeng Ren, Wei Cai
2026Structure-Semantic Synergized Deep Contrastive Graph Clustering.
Shifei Ding, Zhe Li, Xiao Xu, Chao Li
2026Stuart-Landau Oscillatory Graph Neural Network.
Kaicheng Zhang, David N. Reynolds, Piero Deidda, Francesco Tudisco
2026SuperEar: Eavesdropping on Mobile Voice Calls via Stealthy Acoustic Metamaterials.
Zhiyuan Ning, Zhanyong Tang, Juan He, Weizhi Meng, Yuntian Chen, Jie Zhang, Zheng Wang
2026Sustainable and Responsible ECG-Based AI Diagnostics: Masked Frequency Reconstruction with Peak-Aware Transformers.
Wei Wang, Jian Chen, Junxin Chen, Zeling Xu, Yuntao Zou, Henry H. Y. Tong
2026Sustained Vertex Cover on Temporal Graphs.
Junqiang Peng, Tian Bai, Jingyang Zhao, Mingyu Xiao
2026Sybil Attacks on Centrality Measures.
Marcin Waniek
2026S²KT: Modeling Uncertainty in Knowledge Tracing via Semantic-aware Structured Gaussian Distributions.
Wenhui Wu, Tiancheng Zhang, Hengyu Liu, Lun Du, Zikai Li, Mingxing Shao, Minghe Yu, Yifang Yin, Ge Yu
2026TAWRMAC: A Novel Dynamic Graph Representation Learning Method.
Soheila Farokhi, Xiaojun Qi, Hamid Karimi
2026TFWaveFormer: Temporal-Frequency Collaborative Multi-level Wavelet Transformer for Dynamic Link Prediction.
Hantong Feng, Yonggang Wu, Duxin Chen, Wenwu Yu
2026TGNN: Enhancing Pixel Tracking Detection via LLM-driven Annotation and GAT-powered Structural Representation.
Shenping Xiong, Xutong Wang, Ze Jin, Xinyu Liu, Haoqiang Wang, Zhen Chen, Ru Tan, Qixu Liu
2026TGSBM: Transformer-Guided Stochastic Block Model for Link Prediction.
Zhejian Yang, Songwei Zhao, Zilin Zhao, Hechang Chen
2026TGweaver: Synthesizing Transaction Graphs for De-anonymization Analysis.
Fajie Wu, Jiajing Wu, Zhiying Wu, Jun Chen, Tao Wang, Longjian He, Bowen Song, Weiqiang Wang
2026TRABL: A Unified Framework for Travel Domain Aspect-Based Sentiment Analysis Applications of Large Language Models.
Omer Madmon, Shiran Golan, Eran Fainman, Ofri Kleinfeld, Moran Beladev
2026TRACE: Trajectory Recovery with State Propagation Diffusion for Urban Mobility.
Jinming Wang, Hai Wang, Hongkai Wen, Geyong Min, Man Luo
2026TRACE: Trajectory-Aware Comprehensive Evaluation for Deep Research Agents.
Yanyu Chen, Jiyue Jiang, Jiahong Liu, Yifei Zhang, Xiao Guo, Irwin King
2026Tabular Foundation Models are Strong Graph Anomaly Detectors.
Yunhui Liu, Tieke He, Yongchao Liu, Can Yi, Hong Jin, Chuntao Hong
2026Tail-Aware Data Augmentation for Long-Tail Sequential Recommendation.
Yizhou Dang, Zhifu Wei, Minhan Huang, Lianbo Ma, Jianzhe Zhao, Guibing Guo, Xingwei Wang
2026Talos: Optimizing Top-K Accuracy in Recommender Systems.
Shengjia Zhang, Weiqin Yang, Jiawei Chen, Peng Wu, Yuegang Sun, Gang Wang, Qihao Shi, Can Wang
2026Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems.
Jiaming Zhang, Yuyuan Li, Xiaohua Feng, Li Zhang, Longfei Li, Jun Zhou, Chaochao Chen
2026TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance.
Jianhui Yang, Yiming Jin, Pengkun Jiao, Chenhe Dong, Zerui Huang, Shaowei Yao, Xiaojiang Zhou, Dan Ou, Haihong Tang
2026TargetMR: Learning Modality Target for Multimodal Recommendation.
Gu Tang, Jinghe Wang, Jiang Bo, Ze Zhao, Jianping Zhou, Xiaoying Gan, Luoyi Fu, Xinbing Wang, Chenghu Zhou
2026Task-Aware Cloud-End Offloading for Vision-Language Model Serving via Dynamic Modality-Specific Adapter Scheduling.
Zian Wang, Ziyi Wang, Jie Xing, Yaya Wei, Ziyan Zhong, Lanshan Zhang
2026TaxoBell: Gaussian Box Embeddings for Self-Supervised Taxonomy Expansion.
Sahil Mishra, Srinitish Srinivasan, Srikanta Bedathur, Tanmoy Chakraborty
2026Temporal-Series-Aware Adaptive Positional Encoding for Transformer-based Sequential Recommendation.
Rongbo Qi, Yaqi Zhang, Chunyao Song, Tingjian Ge
2026Text-attributed Graph Condensation via Text Selection and Attribute Matching.
Haowei Han, Yuxiang Wang, Guojia Wan, Hao Wang, Shanshan Feng, Hao Huang, Jiawei Jiang, Xiao Yan
2026The Algorithmic Self-Portrait: Deconstructing Memory in ChatGPT.
Abhisek Dash, Soumi Das, Elisabeth Kirsten, Qinyuan Wu, Sai Keerthana Karnam, Krishna P. Gummadi, Thorsten Holz, Muhammad Bilal Zafar, Savvas Zannettou
2026The Art of Two-Round Voting.
Qishen Han, Grant Schoenebeck, Biaoshuai Tao, Lirong Xia
2026The Asymmetric Vulnerability: Bypassing LLM Defenses via Guardrail-Model Mismatch.
Junyi Wang, Zhibin Zhu, Chuanyi Liu
2026The Chatbot Knows It's You: Dialogue Attribution in Unauthenticated Human-LLM Sessions.
Wenxuan Wang, Zirui Liu, Haoxuan Kou, Xuefeng Liu, Jiaxing Shen
2026The Devil Within, The Cure Without: Securing Locally Private Graph Learning under Poisoning.
Longzhu He, Peng Tang, Li Sun, Sen Su
2026The Double-Edged Sword of Knowledge Transfer: Diagnosing and Curing Fairness Pathologies in Cross-Domain Recommendation.
Yuhan Zhao, Weixin Chen, Li Chen, Weike Pan
2026The Power of Penalties: Negativity-Aware Incentives for High-Quality Crowdsourced Data Labeling.
Kai Wang, Runze Wu, Yu Xiong, Haifeng Sun, Anran Li, Shaojie Tang, Changjie Fan, Xiang-Yang Li
2026The Price of Uncertainty for Social Consensus.
Yunzhe Bai, Alec Sun
2026The Promise vs. Reality of NFT Decentralization: An Empirical Study of Storage Strategies and Defects.
Yufang Wu, Siwen Chen, Chao Li, Yuan Weng, Wei Wang
2026The Query Complexity of Uniform Pricing.
Houshuang Chen, Yaonan Jin, Pinyan Lu, Chihao Zhang
2026TheraMind: A Strategic and Adaptive Agent for Longitudinal Psychological Counseling.
He Hu, Chiyuan Ma, Qianning Wang, Lin Liu, Yucheng Zhou, Laizhong Cui, Fei Ma, Qi Tian
2026They Said Memes Were Harmless - We Found the Ones That Hurt: Decoding Jokes, Symbols, and Cultural References.
Sahil Tripathi, Gautam Siddharth Kashyap, Mehwish Nasim, Jian Yang, Jiechao Gao, Usman Naseem
2026Think Then Recommend: An LLM-Powered Multi-Agent Framework for Personalized Conversational Recommender System in E-Commerce.
Yuankun Zu, Xiangyu Cai, Chuchu Yu, Hao Peng, Jia Duan, Long Chen, Kunyao Wang, Zehua Zhang, Changping Peng, Zhangang Lin, Ching Law
2026ThinkRec: Thinking-based recommendation via LLM.
Qihang Yu, Kairui Fu, Zheqi Lv, Shengyu Zhang, Xinhui Wu, Chen Lin, Feng Wei, Bo Zheng, Fei Wu
2026ThinkTank-ME: A Multi-Expert Framework for Middle East Event Forecasting.
Haoxuan Li, He Chang, Yunshan Ma, Yi Bin, Yang Yang, See-Kiong Ng, Tat-Seng Chua
2026Thinking Bidirectionally: A Reasoning and Self-Correction Approach for Text-Based Event Prediction with Large Language Models.
Liwei Qian, Hang Zhang, Yiheng Wu, Yanmin Li, Mengna Zhu, Lihua Liu, Jibing Wu
2026Thorki: Decoupling General and Personalized Knowledge with Collaborative Fusion for Personalized Federated Learning.
Qiang He, Rui Chen, Yicheng Liu, Sheng Zhong, Haipeng Dai, Feifei Chen, Hai Jin, Yun Yang
2026Time-TK: A Multi-Offset Temporal Interaction Framework Combining Transformer and Kolmogorov-Arnold Networks for Time Series Forecasting.
Fan Zhang, Shiming Fan, Hua Wang
2026TimeMar: Multi-Scale Autoregressive Modeling for Unconditional Time Series Generation.
Xiangyu Xu, Qingsong Zhong, Jilin Hu
2026To Search or Not to Search: Aligning the Decision Boundary of Deep Search Agents via Causal Intervention.
Wenlin Zhang, Kuicai Dong, Junyi Li, Yingyi Zhang, Xiaopeng Li, Pengyue Jia, Yi Wen, Derong Xu, Maolin Wang, Yichao Wang, Yong Liu, Xiangyu Zhao
2026Token-level Collaborative Alignment for LLM-based Generative Recommendation.
Fake Lin, Binbin Hu, Zhi Zheng, Xi Zhu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Tong Xu
2026Too Much Sharing, Too Little Security: Authentication Cookie Theft At Scale.
Tobias Gattermayer, Haya Schulmann
2026ToolBox-RL: Learning to Generalize Tool Use Across Massive Repositories.
Xinyan Shi, Renzhi Wang, Haodong Liu, Piji Li
2026TopKGAT: A Top-K Objective-Driven Architecture for Recommendation.
Sirui Chen, Jiawei Chen, Canghong Jin, Sheng Zhou, Jingbang Chen, Wujie Sun, Can Wang
2026Topology-Aware Feature Sorting Enables Universal Modeling on Homophilic and Heterophilic Graphs.
Yi Wang, Jitao Zhao, Dongxiao He, Jia Li, Yuxiao Huang, Zhiyong Feng
2026Toward Generalized Web Agent Training: A Deep Dive into Entropy-Balanced Reinforcement Learning.
Guanting Dong, Licheng Bao, Zhongyuan Wang, Kangzhi Zhao, Xiaoxi Li, Jiajie Jin, Jinghan Yang, Hangyu Mao, Fuzheng Zhang, Kun Gai, Guorui Zhou, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou
2026Toward Graph-Tokenizing Large Language Models with Reconstructive Graph Instruction Tuning.
Zhongjian Zhang, Xiao Wang, Mengmei Zhang, Jiarui Tan, Chuan Shi
2026Toward Green Computing: General Carbon Intensity Forecasting via Dual Graph Empowered Time Series Foundation Model.
Xiaoyang Zhang, Taiqi Zhou, Fang He, Yang Deng, Dan Wang
2026Towards A Universal Graph Structural Encoder.
Jialin Chen, Haolan Zuo, Haoyu Wang, Siqi Miao, Pan Li, Rex Ying
2026Towards AI That Understands the Human World.
Pascale Fung
2026Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce.
Zhiding Liu, Ben Chen, Mingyue Cheng, Enhong Chen, Li Li, Chenyi Lei, Wenwu Ou, Han Li, Kun Gai
2026Towards Efficient and Interpretable Medical Concept Representation via Ontology-driven Residual Vector Quantization.
Hang Lv, Kaisong Zhang, Yanchao Tan, Xing Chen
2026Towards Fair Large Language Model-based Recommender Systems without Costly Retraining.
Jin Li, Huilin Gu, Shoujin Wang, Qi Zhang, Shui Yu, Chen Wang, Xiwei Xu, Fang Chen
2026Towards Foundation Models for MMKG: Multi-Task Inductive Generalization via Task-Aware Routing.
Shundong Yang, Jing Yang, Xiaowen Jiang, Xiaofen Wang, Laurence T. Yang, Yuan Gao, Xinfa Jiang, Jie Chen, Chaojun Zhang
2026Towards Geometry-Consistent Federated Graph Learning.
Yuecen Wei, Zhiyu Zhuang, Yisen Gao, Xingcheng Fu, Qingyun Sun, Ziwei Zhang, Tianyu Wo, Chunming Hu
2026Towards Glaucoma Screening in Decentralized Clinics: A Dynamic Expert-Assisted Domain-Incremental Approach.
Chenglong Fu, Jian Yao, Pengjiang Qian, Weiwei Fu, Chuang Wang, Guisong Yang
2026Towards Graph Foundation Model: Node Feature Transfer Invariant Modeling on General Graphs.
Jitao Zhao, Yi Wang, Yawen Li, Dongxiao He, Di Jin, Zhiyong Feng, Weixiong Zhang
2026Towards LLM-centric Affective Visual Customization via Efficient and Precise Emotion Manipulating.
Jiamin Luo, Xuqian Gu, Jingjing Wang, Jiahong Lu
2026Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs.
Zhaoyu Fan, Kaihang Pan, Mingze Zhou, Bosheng Qin, Juncheng Li, Shengyu Zhang, Wenqiao Zhang, Siliang Tang, Fei Wu, Yueting Zhuang
2026Towards Multi-Label Text Interpretation with Chain-of-Thought Prompting and Contextualized Knowledge.
Rui Wang, Ziang Li, Haiping Huang, Jialin Yu, Yuxiang Zhou, Guozi Sun
2026Towards Open-World Retrieval-Augmented Generation on Knowledge Graph: A Multi-Agent Collaboration Framework.
Jiasheng Xu, Mingda Li, Yongqiang Tang, Peijie Wang, Wensheng Zhang
2026Towards Practical LLM Unlearning: Efficient, Modular, and Retain-Free.
Peng Liu, Peng-Fei Zhang, Jianfeng Qu, Ximing Li, Zhixu Li, Pengpeng Zhao
2026Towards Rare Social Event Prediction via Mediator Learning.
Mingjie Qiu, Zhiyi Tan, Bing-Kun Bao
2026Towards Responsible Recommendations: A Daily Updated Ranking Model for Content Issue Detection.
Haoze Wu, ChengHui Yu, Bingfeng Deng, Daniel Chen
2026Towards Robust Detection of Chinese Toxic Variants via Dynamic Knowledge Graph-LLM Reasoning.
Shaochen Yang, Kefei Zhou, Wei Xu
2026Towards Robust Heterogeneous Graph Explanations under Structural Perturbations.
Yifan Lu, Pengfei Jiao, Xuan Guo, Ziyun Zou, Yiwei Wang, Mengzhou Gao, Huaming Wu, Imran Razzak
2026Towards Token-Level Text Anomaly Detection.
Yang Cao, Bicheng Yu, Sikun Yang, Ming Liu, Yujiu Yang
2026TraceLLM: Evaluating and Exploring Large Language Models on Trace Analysis in Microservice-based Web Applications.
Tong Zhou, Xin Peng, Jie Zhang, Chaofeng Sha, Chenxi Zhang, Zicheng Yuan, Senyu Xie
2026Traceable Latent Variable Discovery Based on Multi-Agent Collaboration.
Huaming Du, Tao Hu, Yijie Huang, Yu Zhao, Guisong Liu, Tao Gu, Gang Kou, Carl Yang
2026Tracing Belief-Driven Thoughts with Theory-of-Mind Agents: An Opinion Analysis Framework.
Jintao Wen, Yunfeng Ning, Hankun Kang, Xin Miao, Tieyun Qian
2026Tracking the Stray Sheep: Understanding DNS Response Manipulation in the Wild.
Wenhao Wu, Zhaohua Wang, Zihan Li, Qinxin Li, YiMing Xia, Chuan Gao, Guangxing Zhang, Zhenyu Li
2026TravelReasoner: Leveraging Large Reasoning Models to Address Mobility Data Gap.
Peijie Liu, Fengli Xu, Yong Li
2026Triple-R: Iterative Query Rewriting and Refinement for Retrieval-Augmented Fake News Detection.
Jie Li, Jinrui Wang, Linmei Hu, Yuqiu Deng
2026Trireme: A Tripartite Regulation Scheme for Diffusion Models.
Hengtong Zhang, Chen Ye, Hongzhi Wang
2026TrueLens: Video Fake News Detection with Dual Level Evidence Gathering and Consolidation.
Junyi Chen, Qian Liu, Jing Sun, Yi Zhang
2026Trust in One Round: Confidence Estimation for Large Language Models via Structural Signals.
Pengyue Yang, Jiawen Wen, Haolin Jin, Linghan Huang, Huaming Chen, Ling Chen
2026Trust on Reload: Securing Browser-Based End-to-End Encryption.
Simon Schwarz, Florian Bauckholt, Leon Trampert
2026Truth with a Twist: The Rhetoric of Persuasion in Professional vs. Community-Authored Fact-Checks.
Olesya Razuvayevskaya, Kalina Bontcheva
2026Tuning Qwen2.5-VL to Improve Its Web Interaction Skills.
Alexandra Yakovleva, Henrik Pärssinen, Harri Valpola, Juho Kannala, Alexander Ilin
2026ULoR: Uncertainty-Aware Leave-One-Out Refinement Framework for Diagnosis Prediction.
Jie Zhang, Wanzi Shao, Yanchao Tan
2026URLBank: Data-Driven URL Discovery via Temporal Link Graphs.
Felipe Marineli, Valerio Cetorelli, Valter Crescenzi, Tim Furche, Xiaonan Guo
2026UTAG: Leveraging LLM as a Unified Embedding Generator for Text-Attributed Graphs.
Mingqian Ding, Jianjun Li, Zhiyuan Ma, Liwei Zhang, Wenqi Yang
2026Unbiased Multimodal Reranking for Long-Tail Short-Video Search.
Wenyi Xu, Feiran Zhu, Songyang Li, Renzhe Zhou, Chao Zhang, Chenglei Dai, Yuren Mao, Yunjun Gao, Yi Zhang
2026Uncertainty-Aware Web-Conditioned Scientific Fact-Checking.
Ashwin Vinod, Katrin Erk
2026Understanding Post-Exploit Laundering Behavior on Ethereum.
Xihan Xiong, Junliang Luo
2026Understanding Server-side Commercial Fingerprinting.
Elisa Luo, Tom Ritter, Stefan Savage, Geoffrey M. Voelker
2026Understanding Strategic Platform Entry and Seller Exploration: A Stackelberg Model.
Garrett Seo, Xintong Wang, David C. Parkes
2026Understanding the Consequences of VTuber Reincarnation.
Yiluo Wei, Gareth Tyson
2026Unequal Vulnerability: The Differential Impact of Label Flipping Attacks Across Classes.
Pinlong Zhao, Mengyang Li, Pengfei Jiao, Huijun Tang, Ou Wu
2026Unicoon: Hypergraph-based Multi-Agent Simulation of Information Cocoons.
Chunyu Wei, Yongsiqi Tu, Yunhai Wang
2026Unifying Deductive and Abductive Reasoning in Knowledge Graphs with Masked Diffusion Model.
Yisen Gao, Jiaxin Bai, Yi Huang, Xingcheng Fu, Qingyun Sun, Yangqiu Song
2026Unifying Diversity and Fairness in Re-ranking via Economic Growth Theory.
Zhaofeng Li, Chen Xu, Xinyu Lin, Wenjie Wang, Xiaokui Xiao
2026Unifying Graph Out-of-Distribution Generalization and Detection through Spectral Contrastive Invariant learning.
Tianyin Liao, Ge Lan, Rui Chen, Ran Zhang, Zhiming Chen, Xiao Wang, Ziwei Zhang
2026Unlearning of Knowledge Graph Embedding via Preference Optimization.
Jiajun Liu, Wenjun Ke, Peng Wang, Yao He, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji
2026Unleashing the Potential of Sparse Attention on Long-term Behaviors for CTR Prediction.
Weijiang Lai, Beihong Jin, Di Zhang, Siru Chen, Jiongyan Zhang, Yuhang Gou, Jian Dong, Xingxing Wang
2026Unleashing the Recommendation Power of Large Language Model via Progressive Best Subset Selection.
Yicheng Di
2026Unlocking the Multilingual Long-Tail Web: A Fused Macro-Micro Framework for Scalable Content Analysis.
Jiarui Zhang, Yifan Deng, Qihao Wang
2026Unmasking Bots in Higher Dimensions: Message Passing over Simplexes for Bot Detection.
Fangfang Li, Huihui Zhang, Xin Zhang, Wei Wu
2026Unsupervised Subgraph Anomaly Detection Based on Pattern Collaboration.
Jiayang Sun, Shenghao Liu, Xianjun Deng, Wei Xiang, Meng Luo, Qiankun Zhang, Dandan Zheng
2026Unveiling Backdoor Propagation in Graphs: Neuron-Centric Defense Mechanisms.
Di Jin, Bingdao Feng, Xiaobao Wang, Yuxiang Zhang, Zechuan Zhang, Liang Yang, Dongxiao He, Zhen Wang
2026Unveiling and Mitigating Untargeted Poisoning Attacks on Federated Knowledge Graph Embedding.
Wenzheng Jiang, Ke Liang, Wenke Huang, Xiongtao Zhang, Zhenxing Xu, Guancheng Wan, Cheston Tan, Flint Xiaofeng Fan, Ji Wang
2026Unveiling and Simulating Short-Video Addiction Behaviors via Economic Addiction Theory.
Chen Xu, Zhipeng Yi, Ruizi Wang, Wenjie Wang, Jun Xu, Maarten de Rijke
2026Unveiling the Resilience of LLM-Enhanced Search Engines against Black-Hat SEO Manipulation.
Pei Chen, Geng Hong, Xinyi Wu, Mengying Wu, Zixuan Zhu, Mingxuan Liu, Baojun Liu, Mi Zhang, Min Yang
2026Unveiling the Underground Phishing Ecosystem: A 12-Year Longitudinal Study of Deep and Dark Web Forums.
Dohee Kim, Hui Zhao, Doowon Kim, Sungjae Hwang
2026Unveiling the Vulnerability of Graph-LLMs: An Interpretable Multi-Dimensional Adversarial Attack on TAGs.
Bowen Fan, Zhilin Guo, Xunkai Li, Yihan Zhou, Bing Zhou, Zhenjun Li, Rong-Hua Li, Guoren Wang
2026UrbanMoE: A Sparse Multi-Modal Mixture-of-Experts Framework for Multi-Task Urban Region Profiling.
Pingping Liu, Jiamiao Liu, Zijian Zhang, Hao Miao, Qi Jiang, Qingliang Li, Qiuzhan Zhou, Irwin King
2026Users Pay Twice: The Hidden Energy Cost of Web Advertising.
Samuel Pélissier, Naif Mehanna, Sterenn Roux, Quentin Perez, Walter Rudametkin, Johann Bourcier, Pierre Laperdrix
2026VC-Soup: Value-Consistency Guided Multi-Value Alignment for Large Language Models.
Hefei Xu, Le Wu, Yu Wang, Min Hou, Han Wu, Zhen Zhang, Meng Wang
2026VK-LSVD: A Large-Scale Industrial Dataset for Short-Video Recommendation.
Aleksandr Poslavsky, Alexander D'yakonov, Yuriy Dorn, Andrey Zimovnov
2026VL-KGE: Vision-Language Models Meet Knowledge Graph Embeddings.
Athanasios Efthymiou, Stevan Rudinac, Monika Kackovic, Nachoem Wijnberg, Marcel Worring
2026VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection.
Jiahao Xie, Guangmo Tong
2026VarParser: Unleashing the Neglected Power of Variables for LLM-based Log Parsing.
Jinrui Sun, Tong Jia, Minghua He, Ying Li
2026VecFormer: Towards Efficient and Generalizable Graph Transformer with Graph Token Attention.
Jingbo Zhou, Jun Xia, Siyuan Li, Yunfan Liu, Wenjun Wang, Yufei Huang, Changxi Chi, Mutian Hong, Zhuoli Ouyang, Shu Wang, Zhongqi Wang, Xingyu Wu, Chang Yu, Stan Z. Li
2026Verifiable Federated Representation Learning for Cross-domain Sequential Recommendation.
Tao Tang, Botao Liu, Ciyuan Peng, Ivan Lee, Xiangjie Kong
2026VeritasFi: An Adaptable, Multi-tiered RAG Framework for Multi-modal Financial Question Answering.
Zhenghan Tai, Hanwei Wu, Qingchen Hu, Jijun Chi, Hailin He, Lei Ding, Tung Sum Thomas Kwok, Bohuai Xiao, Yuchen Hua, Suyuchen Wang, Peng Lu, Muzhi Li, Yihong Wu, Liheng Ma, Jerry Huang, Jiayi Zhang, Gonghao Zhang, Chaolong Jiang, Jingrui Tian, Sicheng Lyu, Zeyu Li, Boyu Han, Fengran Mo, Xinyue Yu, Yufei Cui, Ling Zhou, Xinyu Wang
2026Vertical Semi-Federated Learning for Efficient Online Advertising.
Wenjie Li, Shu-Tao Xia, Jiangke Fan, Teng Zhang, Xingxing Wang
2026ViTs: Teaching Machines to See Time Series Anomalies Like Human Experts.
Zexin Wang, Changhua Pei, Yang Liu, Hengyue Jiang, Quan Zhou, Haotian Si, Hang Cui, Jianhui Li, Gaogang Xie, Jingjing Li, Dan Pei
2026VisionST: Coordinating Cross-modal Traffic Prediction with Interactive Geo-image Encoding.
Jinwen Chen, Hao Miao, Chenxi Liu, Yan Zhao, Kai Zheng
2026Visual Content Moderation in Messaging Systems.
Maria Ljubicic, Emanuel Lacic, Denis Helic
2026WAMO: Toward Secure Browser Inference via Web Model Obfuscation in WebAssembly.
Yitong Wang, Pengfei Yu, Hao Han, Jingjing Gu, Fengyuan Xu, Xinyi Huang
2026WED-Net: A Weather-Effect Disentanglement Network with Causal Augmentation for Urban Flow Prediction.
Qian Hong, Siyuan Chang, Xiao Zhou
2026WPIS: From In-the-Wild Web Images to Physics-Aware 3D Scene Graphs for Physical Reasoning.
Ke Ma, Cong Fu, Jianing Wang, Yifei Wang, Wenyuan Li, Xinggang Wang, Meng Wang, Tian Xia
2026Warmer for Less: A Cost-Efficient Strategy for Cold-Start Recommendations at Pinterest.
Saeed Ebrahimi, Weijie Jiang, Jaewon Yang, Olafur Gudmundsson, Yucheng Tu, Huizhong Duan
2026We May Not Need Much Visual Encoding of Web Data for Question Answering.
Tan Yue, Qiong Wu, Dongyan Zhao
2026We Need a More Robust Classifier: Dual Causal Learning Empowers Domain-Incremental Time Series Classification.
Zhipeng Liu, Peibo Duan, Xuan Tang, Haodong Jing, Mingyang Geng, Yongsheng Huang, Jialu Xu, Bin Zhang, Binwu Wang
2026WeaveRec: An LLM-Based Cross-Domain Sequential Recommendation Framework with Model Merging.
Min Hou, Xin Liu, Le Wu, Chenyi He, Hao Liu, Zhi Li, Xin Li, Si Wei
2026WebGeoInfer: Structure-Free Multi-Stage Framework for Geolocation Inference from Exposed Device Web Interfaces.
Huipeng Yang, Li Yang, Lu Zhou, Lichuan Ma, Xinyue Wang, Junbo Jia, Anyuan Sang
2026Weighted Graph Clustering via Scale Contraction and Graph Structure Learning.
Haobing Liu, Yinuo Zhang, Tingting Wang, Ruobing Jiang, Yanwei Yu
2026Weighted Reservoir Sampling with Replacement from Data Streams.
Adriano Meligrana, Adriano Fazzone
2026What Is Your AI Agent Buying? Evaluation, Biases, Model Dependence, & Emerging Implications of Agentic E-Commerce.
Amine Allouah, Omar Besbes, Josué D. Figueroa, Yash Kanoria, Akshit Kumar
2026What Should I Cite? A RAG Benchmark for Academic Citation Prediction.
Leqi Zheng, Jiajun Zhang, Canzhi Chen, Chaokun Wang, Hongwei Li, Yuying Li, Yaoxin Mao, Shannan Yan, Zixin Song, Zhiyuan Feng, Zhaolu Kang, Zirong Chen, Hang Zhang, Qiang Liu, Liang Wang, Ziyang Liu
2026When Ads Become Profiles: Uncovering the Invisible Risk of Web Advertising at Scale with LLMs.
Baiyu Chen, Benjamin Tag, Hao Xue, Daniel Angus, Flora Salim
2026When Agents Trade: Live Multi-Market Trading Arena for LLM Agents.
Lingfei Qian, Xueqing Peng, Hanley Smith, Yi Han, Yueru He, Haohang Li, Yupeng Cao, Yangyang Yu, Guojun Xiong, Peng Lu, Yan Wang, Vincent Jim Zhang, Huan He, Alejandro Lopez-Lira, Jimin Huang, Jian-Yun Nie, Sophia Ananiadou
2026When Reasoning Leaks Membership: Membership Inference Attack on Black-box Large Reasoning Models.
Ruihan Hu, Yu-Ming Shang, Wei Luo, Ye Tao, Xi Zhang
2026When Rules Fall Short: Agent-Driven Discovery of Emerging Content Issues in Short Video Platforms.
ChengHui Yu, Hongwei Wang, Junwen Chen, Zixuan Wang, Bingfeng Deng, Zhuolin Hao, Hongyu Xiong, Yang Song
2026When to Invoke: Refining LLM Fairness with Toxicity Assessment.
Jing Ren, Bowen Li, Ziqi Xu, Renqiang Luo, Shuo Yu, Xin Ye, Haytham Fayek, Xiaodong Li, Feng Xia
2026When to Trust: A Causality-Aware Calibration Framework for Accurate Knowledge Graph Retrieval-Augmented Generation.
Jing Ren, Bowen Li, Ziqi Xu, Xikun Zhang, Haytham Fayek, Xiaodong Li
2026WiNELL: Wikipedia Never-Ending Updating with LLM Agents.
Revanth Gangi Reddy, Tanay Dixit, Jiaxin Qin, Cheng Qian, Daniel Lee, Jiawei Han, Kevin Small, Xing Fan, Ruhi Sarikaya, Heng Ji
2026WinFLoRA: Incentivizing Client-Adaptive Aggregation in Federated LoRA under Privacy Heterogeneity.
Mengsha Kou, Xiaoyu Xia, Ziqi Wang, Ibrahim Khalil, Ruikun Luo, Jingwen Zhou, Minhui Xue
2026Wiseswap: Elastic Datacenter Network-Aware Disaggregated Memory for Multi-Tenant Cloud.
Mingxuan Liu, Jianhua Gu, Tianhai Zhao, Dong Sun
2026X
Zhongyu Yang, Wei Pang, Yingfang Yuan
2026XInsight: Integrative Stage-Consistent Psychological Counseling Support Agents for Digital Well-Being.
Fei Wang, Jiangnan Yang, Junjie Chen, Yuxin Liu, Kun Li, Yanyan Wei, Dan Guo, Meng Wang
2026Xemis: Fair and Robust Privacy-Preserving Data Trading based on Distributed Noise Sharing.
Xinxin Xing, Yizhong Liu, Ruonan Chen, Banghong Qin, Wangjie Qiu, Jianwei Liu, Qianhong Wu, Willy Susilo, Robert H. Deng
2026YouChoose: A Lightweight Anonymous Proof of Account Ownership.
Aarav Varshney, Prashant Agrawal, Mahabir Prasad Jhanwar
2026Zelda: Feedback-driven Closed-box Fuzzing for Identifying Web Application Vulnerabilities.
Soyoung Lee, Sunnyeo Park, Yonghwi Kwon, Sooel Son
2026Zero-Shot Forecasting of Network Dynamics through Weight Flow Matching.
Shihe Zhou, Ruikun Li, Huandong Wang, Yong Li
2026coTherapist: A Behavior-Aligned Small Language Model Framework to Support Mental Healthcare Experts.
Prottay Kumar Adhikary, Reena Rawat, Tanmoy Chakraborty
2026iQ-Guard: An Effective and Noise-Resistant Framework for Graph Fraud Detection on iQIYI Platform.
Yuting Huang, Ziquan Fang, Zhengjie Zhou, Tinghui Luo, Lu Chen, Surun Ji, Huimei Zheng, Mingfan Lu, Fangshu Chen, Yunjun Gao
2026llm-tuna - Hyperparameter Optimization for LLM Inference.
Thameem Abbas Ibrahim Bathusha, Aanya Sharma, Andy Huynh, Rehan Samaratunga, Ashish Kamra
2026negMIX: Negative Mixup for OOD Generalization in Open-Set Node Classification.
Junwei Gong, Xiao Shen, Zhihao Chen, Shirui Pan, Xiao Wang, Xi Zhou
2026pFedDKS: Detached Knowledge Sharing for Personalized Federated Learning.
Haozhao Wang, Wenchao Xu, Jingzhi Wang, Yunfeng Fan, Xiaoquan Yi, Rui Zhang