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Philip S. Yu

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

980

Venues

37

Active years

2020–2026

Best venue rank

A*

Where they publish

Papers

Showing the 300 most recent indexed papers.

YearVenueTitleAuthors
2026AAAIS²Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening.Bowei He, Bowen Gao, Yankai Chen, Yanyan Lan, Chen Ma, Philip S. Yu, Ya-Qin Zhang, Wei-Ying Ma
2026AAAILearning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection.Li Sun, Lanxu Yang, Jiayu Tian, Bowen Fang, Xiaoyan Yu, Junda Ye, Peng Tang, Hao Peng, Philip S. Yu
2026AAAIHyperbolic Continuous Structural Entropy for Hierarchical Clustering.Guangjie Zeng, Hao Peng, Angsheng Li, Li Sun, Chunyang Liu, Shengze Li, Yicheng Pan, Philip S. Yu
2026ACLPaper2Web: Let's Make Your Paper Alive!Yuhang Chen, Tianpeng Lv, Yao Wan, Philip S. Yu, Dongping Chen
2026ACLFOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning.Yujie Feng, Hao Wang, Jian Li, Xu Chu, Zhaolu Kang, Yiran Liu, Yasha Wang, Philip S. Yu, Xiao-Ming Wu
2026ACLSciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models.Yiyang Gu, Junwei Yang, Junyu Luo, Ye Yuan, Bin Feng, Yingce Xia, Shufang Xie, Kaili Liu, Bohan Wu, Qi Shi, Haoran Li, Beier Xiao, Zhiping Xiao, Xiao Luo, Weizhi Zhang, Philip S. Yu, Zequn Liu, Ming Zhang
2026ACLMany-Shot Scaling of In-Context Learning with Self-Generated Demonstrations.Zhengyao Gu, Henry Peng Zou, Yankai Chen, Aiwei Liu, Weizhi Zhang, Philip S. Yu
2026ACLDeep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety.Wei-Chieh Huang, Henry Peng Zou, Yaozu Wu, Dongyuan Li, Yankai Chen, Weizhi Zhang, Yangning Li, Angelo Zangari, Jizhou Guo, Chunyu Miao, Liancheng Fang, Langzhou He, Yinghui Li, Renhe Jiang, Philip S. Yu
2026ACLWhy LLMs Hallucinate on Structured Knowledge: A Mechanistic Analysis of Reasoning over Linearized Representations.Shanghao Li, Jinda Han, Yibo Wang, Yuanjie Zhu, Zihe Song, Langzhou He, Kenan Kamel A Alghythee, Philip S. Yu
2026ACLMultiFileTest: A Multi-File-Level LLM Unit Test Generation Benchmark and Impact of Error Fixing Mechanisms.Yibo Wang, Congying Xia, Wenting Zhao, Jiangshu Du, Chunyu Miao, Zhongfen Deng, Philip S. Yu, Chen Xing
2026ACLGAM: Hierarchical Graph-based Agentic Memory for LLM Agents.Zhaofen Wu, Hanrong Zhang, Fulin Lin, Wujiang Xu, Xinran Xu, Yankai Chen, Henry Peng Zou, Shaowen Chen, Weizhi Zhang, Xue Liu, Philip S. Yu, Hongwei Wang
2026ACLErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection.Yibo Yan, Shen Wang, Jiahao Huo, Hang Li, Boyan Li, Jiamin Su, Xiong Gao, Yifan Zhang, Tianlong Xu, Zhendong Chu, Aoxiao Zhong, Kun Wang, Hui Xiong, Philip S. Yu, Xuming Hu, Qingsong Wen
2026ACLPosition: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning.Yibo Yan, Shen Wang, Jiahao Huo, Jingheng Ye, Zhendong Chu, Xuming Hu, Philip S. Yu, Carla P. Gomes, Bart Selman, Qingsong Wen
2026ACLPersonaAgent: Bridging Memory and Action for Personalized LLM Agents.Weizhi Zhang, Xinyang Zhang, Chenwei Zhang, Liangwei Yang, Jingbo Shang, Zhepei Wei, Henry Peng Zou, Zijie Huang, Zhengyang Wang, Yifan Gao, Xiaoman Pan, Lian Xiong, Jingguo Liu, Philip S. Yu, Xian Li
2026ACLLLM-Based Human-Agent Collaboration and Interaction Systems: A Survey.Henry Peng Zou, Wei-Chieh Huang, Yaozu Wu, Jizhou Guo, Yankai Chen, Chunyu Miao, Hoang H. Nguyen, Yue Zhou, Weizhi Zhang, Liancheng Fang, Hanrong Zhang, Fangxin Wang, Pengfei Zhang, Langzhou He, Yangning Li, Dongyuan Li, Renhe Jiang, Philip S. Yu
2026ICDEXRAG: Examining the Core - Benchmarking Foundational Components in Advanced Retrieval-Augmented Generation.Qili Zhang, Qianren Mao, Yangyifei Luo, Yashuo Luo, Hanwen Hao, Zhilong Cao, Weifeng Jiang, Zhijun Chen, Junnan Liu, Feng Yan, Xiaolong Wang, Jinlong Zhang, Zhenting Huang, Zhixing Tan, Jie Sun, Bo Li, Jianxin Li, Philip S. Yu
2026KDDMining Intrinsic Rewards from LLM Hidden States for Efficient Best-of-N Sampling.Jizhou Guo, Zhaomin Wu, Hanchen Yang, Philip S. Yu
2026KDDDevil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols.Longzhu He, Chaozhuo Li, Peng Tang, Li Sun, Sen Su, Philip S. Yu
2026KDDCSSG: A Continuous Spatio-temporal Graph Learning Framework with Scalable Spatial Granularity.Kaiwen Xia, Li Lin, Qi Zhang, Xinrui Zhang, Shuai Wang, Xuming Hu, Philip S. Yu
2026WWWEffective 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
2026WWWHeterophily-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
2026WWWCan Multimodal LLMs Perform Time Series Anomaly Detection?Xiongxiao Xu, Haoran Wang, Yueqing Liang, Philip S. Yu, Yue Zhao, Kai Shu
2026WWWAgentDR: 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
2026WSDMAGP: Auto-Guided Prompt Refinement for Personalized Reranking in Recommender Systems.Chen Wang, Mingdai Yang, Zhiwei Liu, Pan Li, Linsey Pang, Qingsong Wen, Philip S. Yu
2025AAAIPioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics.Li Sun, Ziheng Zhang, Zixi Wang, Yujie Wang, Qiqi Wan, Hao Li, Hao Peng, Philip S. Yu
2025AAAIStructural Entropy Guided Probabilistic Coding.Xiang Huang, Hao Peng, Li Sun, Hui Lin, Chunyang Liu, Jiang Cao, Philip S. Yu
2025AAAITowards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space.Xiaoyan Yu, Yifan Wei, Shuaishuai Zhou, Zhiwei Yang, Li Sun, Hao Peng, Liehuang Zhu, Philip S. Yu
2025ACLTABGEN-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation.Liancheng Fang, Aiwei Liu, Hengrui Zhang, Henry Peng Zou, Weizhi Zhang, Philip S. Yu
2025ACLRecurrent Knowledge Identification and Fusion for Language Model Continual Learning.Yujie Feng, Xujia Wang, Zexin Lu, Shenghong Fu, Guangyuan Shi, Yongxin Xu, Yasha Wang, Philip S. Yu, Xu Chu, Xiao-Ming Wu
2025ACLRethinking the Roles of Large Language Models in Chinese Grammatical Error Correction.Yinghui Li, Shang Qin, Jingheng Ye, Haojing Huang, Yangning Li, Shu-Yu Guo, Libo Qin, Xuming Hu, Wenhao Jiang, Hai-Tao Zheng, Philip S. Yu
2025ACLCan LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation?Leyi Pan, Aiwei Liu, Shiyu Huang, Yijian Lu, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu
2025ACLProvBench: A Benchmark of Legal Provision Recommendation for Contract Auto-Reviewing.Xiuxuan Shen, Zhongyuan Jiang, Junsan Zhang, Junxiao Han, Yao Wan, Chengjie Guo, Bingcheng Liu, Jie Wu, Renxiang Li, Philip S. Yu
2025ACLStructure-adaptive Adversarial Contrastive Learning for Multi-Domain Fake News Detection.Lingwei Wei, Dou Hu, Wei Zhou, Philip S. Yu, Songlin Hu
2025ACLMathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection.Yibo Yan, Shen Wang, Jiahao Huo, Philip S. Yu, Xuming Hu, Qingsong Wen
2025ACLTestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency.Henry Peng Zou, Zhengyao Gu, Yue Zhou, Yankai Chen, Weizhi Zhang, Liancheng Fang, Yibo Wang, Yangning Li, Kay Liu, Philip S. Yu
2025APWEBSocialED: A Python Library for Social Event Detection.Kun Zhang, Xiaoyan Yu, Pu Li, Hao Peng, Philip S. Yu
2025CIKMInterFormer: Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction.Zhichen Zeng, Xiaolong Liu, Mengyue Hang, Xiaoyi Liu, Qinghai Zhou, Chaofei Yang, Yiqun Liu, Yichen Ruan, Laming Chen, Yuxin Chen, Yujia Hao, Jiaqi Xu, Jade Nie, Xi Liu, Buyun Zhang, Wei Wen, Siyang Yuan, Hang Yin, Xin Zhang, Kai Wang, Wen-Yen Chen, Yiping Han, Huayu Li, Chunzhi Yang, Bo Long, Philip S. Yu, Hanghang Tong, Jiyan Yang
2025CIKMJailbreaking LLMs Through Alignment Vulnerabilities in Out-of-Distribution Settings.Yue Huang, Jingyu Tang, Dongping Chen, Bingda Tang, Yao Wan, Lichao Sun, Philip S. Yu, Xiangliang Zhang
2025CIKMDialogues Aspect-based Sentiment Quadruple Extraction via Structural Entropy Minimization Partitioning.Kun Peng, Cong Cao, Hao Peng, Zhifeng Hao, Lei Jiang, Kongjing Gu, Yanbing Liu, Philip S. Yu
2025CIKMFrontiers in Graph Machine Learning for the Large Model Era.Qingyun Sun, Ziwei Zhang, Xingcheng Fu, Yangqiu Song, Jianxin Li, Philip S. Yu
2025COLINGMulti-View Incongruity Learning for Multimodal Sarcasm Detection.Diandian Guo, Cong Cao, Fangfang Yuan, Yanbing Liu, Guangjie Zeng, Xiaoyan Yu, Hao Peng, Philip S. Yu
2025COLINGTaxonomy-Guided Zero-Shot Recommendations with LLMs.Yueqing Liang, Liangwei Yang, Chen Wang, Xiongxiao Xu, Philip S. Yu, Kai Shu
2025COMPSACImproving Social Connections Through Mobile Social Networks.Alvin Chin, Justin Chan, Joshua Garcia, Aria Barve, Kevin Leicht, Philip S. Yu
2025EMNLPLLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation.Weizhi Zhang, Liangwei Yang, Wooseong Yang, Henry Peng Zou, Yuqing Liu, Ke Xu, Sourav Medya, Philip S. Yu
2025EMNLPLLM Agents for Education: Advances and Applications.Zhendong Chu, Shen Wang, Jian Xie, Tinghui Zhu, Yibo Yan, Jingheng Ye, Aoxiao Zhong, Xuming Hu, Jing Liang, Philip S. Yu, Qingsong Wen
2025EMNLPGeoEdit: Geometric Knowledge Editing for Large Language Models.Yujie Feng, Li-Ming Zhan, Zexin Lu, Yongxin Xu, Xu Chu, Yasha Wang, Jiannong Cao, Philip S. Yu, Xiao-Ming Wu
2025EMNLPTeaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning.Yangning Li, Tingwei Lu, Yinghui Li, Yankai Chen, Wei-Chieh Huang, Wenhao Jiang, Hui Wang, Hai-Tao Zheng, Philip S. Yu
2025EMNLPBreaking the Reviewer: Assessing the Vulnerability of Large Language Models in Automated Peer Review Under Textual Adversarial Attacks.Tzu-Ling Lin, Wei-Chih Chen, Teng-Fang Hsiao, Hou-I Liu, Ya-Hsin Yeh, Yu Kai Chan, Wen-Sheng Lien, Po-Yen Kuo, Philip S. Yu, Hong-Han Shuai
2025EMNLPA Survey of RAG-Reasoning Systems in Large Language Models.Yangning Li, Weizhi Zhang, Yuyao Yang, Wei-Chieh Huang, Yaozu Wu, Junyu Luo, Yuanchen Bei, Henry Peng Zou, Xiao Luo, Yusheng Zhao, Chunkit Chan, Yankai Chen, Zhongfen Deng, Yinghui Li, Hai-Tao Zheng, Dongyuan Li, Renhe Jiang, Ming Zhang, Yangqiu Song, Philip S. Yu
2025EMNLPRAISE: Reinforced Adaptive Instruction Selection For Large Language Models.Qingsong Lv, Yangning Li, Zihua Lan, Zishan Xu, Jiwei Tang, Tingwei Lu, Yinghui Li, Wenhao Jiang, Hong-Gee Kim, Hai-Tao Zheng, Philip S. Yu
2025EMNLPEmotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation.Kun Peng, Cong Cao, Hao Peng, Guanlin Wu, Zhifeng Hao, Lei Jiang, Yanbing Liu, Philip S. Yu
2025EMNLPMulti-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances, Resources, and Future Directions.Yaozu Wu, Dongyuan Li, Yankai Chen, Renhe Jiang, Henry Peng Zou, Wei-Chieh Huang, Yangning Li, Liancheng Fang, Zhen Wang, Philip S. Yu
2025EMNLPPosition: LLMs Can be Good Tutors in English Education.Jingheng Ye, Shen Wang, Deqing Zou, Yibo Yan, Kun Wang, Hai-Tao Zheng, Ruitong Liu, Zenglin Xu, Irwin King, Philip S. Yu, Qingsong Wen
2025EMNLPMultifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness.Yusheng Zhao, Xiao Luo, Junyu Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang
2025HCIEphemeral Social Networking: Connecting People from Offline to Online.Alvin Chin, Kevin Leicht, Philip S. Yu, Diego Gmez-Zar
2025ICDEAEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks: (Extended Abstract).Lu Bai, Lixin Cui, Ming Li, Peng Ren, Yue Wang, Lichi Zhang, Philip S. Yu, Edwin R. Hancock
2025ICDEHAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification (Extended Abstract).Lu Bai, Lixin Cui, Yue Wang, Ming Li, Jing Li, Philip S. Yu, Edwin R. Hancock
2025ICDEFELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning (Extended Abstract).Xinqi Du, Ziyue Li, Cheng Long, Yongheng Xing, Philip S. Yu, Hechang Chen
2025ICDMDetecting Intent Drift in Continuous Conversation via Temporal Transition Accumulation.Yue Wang, Dehang Fu, Jie Tan, Junxiao Han, Yao Wan, Lixin Cui, Lu Bai, Philip S. Yu
2025ICDMEquilibrium-Based NFT Marketplace Recommendation for NFTs with Breeding.Chin-Yuan Yeh, Hsi-Wen Chen, De-Nian Yang, Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen
2025ICLRBANGS: Game-theoretic Node Selection for Graph Self-Training.Fangxin Wang, Kay Liu, Sourav Medya, Philip S. Yu
2025ICLRRefine Knowledge of Large Language Models via Adaptive Contrastive Learning.Yinghui Li, Haojing Huang, Jiayi Kuang, Yangning Li, Shu-Yu Guo, Chao Qu, Xiaoyu Tan, Hai-Tao Zheng, Ying Shen, Philip S. Yu
2025ICLRBenchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent.Yangning Li, Yinghui Li, Xinyu Wang, Yong Jiang, Zhen Zhang, Xinran Zheng, Hui Wang, Hai-Tao Zheng, Fei Huang, Jingren Zhou, Philip S. Yu
2025ICLRTIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights.Aiwei Liu, Haoping Bai, Zhiyun Lu, Yanchao Sun, Xiang Kong, Xiaoming Simon Wang, Jiulong Shan, Albin Madappally Jose, Xiaojiang Liu, Lijie Wen, Philip S. Yu, Meng Cao
2025ICLRCan Watermarked LLMs be Identified by Users via Crafted Prompts?Aiwei Liu, Sheng Guan, Yiming Liu, Leyi Pan, Yifei Zhang, Liancheng Fang, Lijie Wen, Philip S. Yu, Xuming Hu
2025ICLRIGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning.Jiawen Qin, Haonan Yuan, Qingyun Sun, Lyujin Xu, Jiaqi Yuan, Pengfeng Huang, Zhaonan Wang, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu
2025ICLRDiffPuter: Empowering Diffusion Models for Missing Data Imputation.Hengrui Zhang, Liancheng Fang, Qitian Wu, Philip S. Yu
2025ICMLOne Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs.Yinghui Li, Jiayi Kuang, Haojing Huang, Zhikun Xu, Xinnian Liang, Yi Yu, Wenlian Lu, Yangning Li, Xiaoyu Tan, Chao Qu, Ying Shen, Hai-Tao Zheng, Philip S. Yu
2025ICMLHow Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees.Haonan Yuan, Qingyun Sun, Junhua Shi, Xingcheng Fu, Bryan Hooi, Jianxin Li, Philip S. Yu
2025ICMLTabNAT: A Continuous-Discrete Joint Generative Framework for Tabular Data.Hengrui Zhang, Liancheng Fang, Qitian Wu, Philip S. Yu
2025ICMLSDMG: Smoothing Your Diffusion Models for Powerful Graph Representation Learning.Junyou Zhu, Langzhou He, Chao Gao, Dongpeng Hou, Zhen Su, Philip S. Yu, Jrgen Kurths, Frank Hellmann
2025IJCAIOut-of-Distribution Detection by Regaining Lost Clues (Abstract Reprint).Zhilin Zhao, Longbing Cao, Philip S. Yu
2025IJCAITrace: Structural Riemannian Bridge Matching for Transferable Source Localization in Information Propagation.Li Sun, Suyang Zhou, Bowen Fang, Hechuan Zhang, Junda Ye, Yutong Ye, Philip S. Yu
2025IJCAIT-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction.Kun Peng, Chaodong Tong, Cong Cao, Hao Peng, Qian Li, Guanlin Wu, Lei Jiang, Yanbing Liu, Philip S. Yu
2025KDDA Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models.Liangbo Ning, Ziran Liang, Zhuohang Jiang, Haohao Qu, Yujuan Ding, Wenqi Fan, Xiaoyong Wei, Shanru Lin, Hui Liu, Philip S. Yu, Qing Li
2025KDDThe 14th International Workshop on Urban Computing.Yuxuan Liang, Yu Zheng, Chuishi Meng, Yanhua Li, Jieping Ye, Philip S. Yu, Ouri Wolfson
2025KDDJudge Anything: MLLM as a Judge Across Any Modality.Shu Pu, Yaochen Wang, Dongping Chen, Yuhang Chen, Guohao Wang, Qi Qin, Zhongyi Zhang, Zhiyuan Zhang, Zetong Zhou, Shuang Gong, Yi Gui, Yao Wan, Philip S. Yu
2025KDDBreeding-aware Revenue Maximization for NFT Viral Marketing on Social Networks.Ya-Wen Teng, De-Nian Yang, Yishuo Shi, Guang-Siang Lee, Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen
2025KDDThe 4th Workshop on AI Agent for Information Retrieval: Generating and Ranking.Qingsong Wen, Yongfeng Zhang, Zhiwei Liu, Julian J. McAuley, Hua Wei, Linsey Pang, Wei Liu, Philip S. Yu
2025NAACLPrompting with Phonemes: Enhancing LLMs' Multilinguality for Non-Latin Script Languages.Hoang H. Nguyen, Khyati Mahajan, Vikas Yadav, Julian Salazar, Philip S. Yu, Masoud Hashemi, Rishabh Maheshwary
2025NAACLWaterSeeker: Pioneering Efficient Detection of Watermarked Segments in Large Documents.Leyi Pan, Aiwei Liu, Yijian Lu, Zitian Gao, Yichen Di, Lijie Wen, Irwin King, Philip S. Yu
2025PAKDDTGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale.Kay Liu, Jiahao Ding, MohamadAli Torkamani, Philip S. Yu
2025RecSysSGCL: Unifying Self-Supervised and Supervised Learning for Graph Recommendation.Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Yuanjie Zhu, Philip S. Yu
2025WWWLLGformer: Learnable Long-range Graph Transformer for Traffic Flow Prediction.Di Jin, Cuiying Huo, Jiayi Shi, Dongxiao He, Jianguo Wei, Philip S. Yu
2025WWWRiemannGFM: Learning a Graph Foundation Model from Riemannian Geometry.Li Sun, Zhenhao Huang, Suyang Zhou, Qiqi Wan, Hao Peng, Philip S. Yu
2025WWWGraph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems.Yuwei Cao, Liangwei Yang, Zhiwei Liu, Yuqing Liu, Chen Wang, Yueqing Liang, Hao Peng, Philip S. Yu
2025WWWThe 3rd Workshop on AI Agent for Information Retrieval: Generating and Ranking.Qingsong Wen, Yongfeng Zhang, Zhiwei Liu, Julian J. McAuley, Hua Wei, Linsey Pang, Wei Liu, Philip S. Yu
2025WWWCommunity Detection in Large-Scale Complex Networks via Structural Entropy Game.Yantuan Xian, Pu Li, Hao Peng, Zhengtao Yu, Yan Xiang, Philip S. Yu
2025WWWGraph Neural Controlled Differential Equations For Collaborative Filtering.Ke Xu, Weizhi Zhang, Zihe Song, Yuanjie Zhu, Philip S. Yu
2025WWWTraining Large Recommendation Models via Graph-Language Tokens Alignment.Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2025WSDMLarge Language Model Simulator for Cold-Start Recommendation.Feiran Huang, Yuanchen Bei, Zhenghang Yang, Junyi Jiang, Hao Chen, Qijie Shen, Senzhang Wang, Fakhri Karray, Philip S. Yu
2025SDMHierarchical Superpixel Segmentation via Structural Information Theory.Minhui Xie, Hao Peng, Pu Li, Guangjie Zeng, Shuhai Wang, Jia Wu, Peng Li, Philip S. Yu
2024AAAIHierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection.Yuwei Cao, Hao Peng, Zhengtao Yu, Philip S. Yu
2024AAAIThree Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network.Xuming Hu, Zhaochen Hong, Yong Jiang, Zhichao Lin, Xiaobin Wang, Pengjun Xie, Philip S. Yu
2024AAAIAdaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering.Jingyu Pu, Chenhang Cui, Xinyue Chen, Yazhou Ren, Xiaorong Pu, Zhifeng Hao, Philip S. Yu, Lifang He
2024AAAIDual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer.Xiaorui Su, Pengwei Hu, Zhu-Hong You, Philip S. Yu, Lun Hu
2024AAAIMotif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning.Li Sun, Zhenhao Huang, Zixi Wang, Feiyang Wang, Hao Peng, Philip S. Yu
2024ACLEvaluating Robustness of Generative Search Engine on Adversarial Factoid Questions.Xuming Hu, Xiaochuan Li, Junzhe Chen, Yinghui Li, Yangning Li, Xiaoguang Li, Yasheng Wang, Qun Liu, Lijie Wen, Philip S. Yu, Zhijiang Guo
2024ACLStronger, Lighter, Better: Towards Life-Long Attribute Value Extraction for E-Commerce Products.Tao Zhang, Chenwei Zhang, Xian Li, Jingbo Shang, Hoang H. Nguyen, Philip S. Yu
2024ACLImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction.Henry Peng Zou, Vinay Samuel, Yue Zhou, Weizhi Zhang, Liancheng Fang, Zihe Song, Philip S. Yu, Cornelia Caragea
2024CIKMDo We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation.Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Liancheng Fang, Philip S. Yu
2024CIKMCollaborative Alignment for Recommendation.Chen Wang, Liangwei Yang, Zhiwei Liu, Xiaolong Liu, Mingdai Yang, Yueqing Liang, Philip S. Yu
2024CIKMMSTEM: Masked Spatiotemporal Event Series Modeling for Urban Undisciplined Events Forecasting.Zehao Gu, Shiyang Zhou, Yun Xiong, Yang Luo, Hongrun Ren, Qiang Wang, Xiaofeng Gao, Philip S. Yu
2024CIKM3rd International Workshop on Industrial Recommendation Systems (IRS).Luyi Ma, Xiaohan Li, Kamilia Ahmadi, Jianpeng Xu, Philip S. Yu, George Karypis
2024CIKMDAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism.Xiaoyan Yu, Yifan Wei, Pu Li, Shuaishuai Zhou, Hao Peng, Li Sun, Liehuang Zhu, Philip S. Yu
2024CIKMRevisit Orthogonality in Graph-Regularized MLPs.Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu
2024CIKMAI Agent for Information Retrieval: Generating and Ranking.Yongfeng Zhang, Zhiwei Liu, Qingsong Wen, Linsey Pang, Wei Liu, Philip S. Yu
2024CIKMInfoMLP: Unlocking the Potential of MLPs for Semi-Supervised Learning with Structured Data.Hengrui Zhang, Qitian Wu, Chenxiao Yang, Philip S. Yu
2024COLINGCORI: CJKV Benchmark with Romanization Integration - a Step towards Cross-lingual Transfer beyond Textual Scripts.Hoang Nguyen, Chenwei Zhang, Ye Liu, Natalie Parde, Eugene Rohrbaugh, Philip S. Yu
2024DASFAABeyond the Known: Novel Class Discovery for Open-World Graph Learning.Yucheng Jin, Yun Xiong, Juncheng Fang, Xixi Wu, Dongxiao He, Xing Jia, Bingchen Zhao, Philip S. Yu
2024EMNLPLLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing.Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Cheng Jiayang, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin
2024EMNLPMarkLLM: An Open-Source Toolkit for LLM Watermarking.Leyi Pan, Aiwei Liu, Zhiwei He, Zitian Gao, Xuandong Zhao, Yijian Lu, Binglin Zhou, Shuliang Liu, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu
2024EMNLPDA³: A Distribution-Aware Adversarial Attack against Language Models.Yibo Wang, Xiangjue Dong, James Caverlee, Philip S. Yu
2024ICLRTowards Understanding Factual Knowledge of Large Language Models.Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, Zhijiang Guo
2024ICLRAn Unforgeable Publicly Verifiable Watermark for Large Language Models.Aiwei Liu, Leyi Pan, Xuming Hu, Shuang Li, Lijie Wen, Irwin King, Philip S. Yu
2024ICMLLSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering.Li Sun, Zhenhao Huang, Hao Peng, Yujie Wang, Chunyang Liu, Philip S. Yu
2024ICMLPosition: TrustLLM: Trustworthiness in Large Language Models.Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao
2024IJCAIGraph Neural Networks for Brain Graph Learning: A Survey.Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu
2024ICWSThe Open Story Model (OSM): Transforming Big Data into Interactive Narratives.Fariba Lotfi, Amin Beheshti, Mansour Jamzad, Hamid Beigy, Jia Wu, Philip S. Yu
2024KDDThe 13th International Workshop on Urban Computing.Yuxuan Liang, Chuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson
2024KDDBTTackler: A Diagnosis-based Framework for Efficient Deep Learning Hyperparameter Optimization.Zhongyi Pei, Zhiyao Cen, Yipeng Huang, Chen Wang, Lin Liu, Philip S. Yu, Mingsheng Long, Jianmin Wang
2024KDDPre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential Recommendation.Chen Wang, Ziwei Fan, Liangwei Yang, Mingdai Yang, Xiaolong Liu, Zhiwei Liu, Philip S. Yu
2024KDDPeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection.Ronghui Xu, Hao Miao, Senzhang Wang, Philip S. Yu, Jianxin Wang
2024NAACLkNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning.Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Qingyang Wu, Zhongfen Deng, Jiangshu Du, Shuaiqi Liu, Yunlong Xu, Philip S. Yu
2024NAACLDIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text.Wenting Zhao, Ye Liu, Tong Niu, Yao Wan, Philip S. Yu, Shafiq Joty, Yingbo Zhou, Semih Yavuz
2024PAKDDConditional Denoising Diffusion for Sequential Recommendation.Yu Wang, Zhiwei Liu, Liangwei Yang, Philip S. Yu
2024WWWHeterogeneous Knowledge Grounding for Medical Question Answering with Retrieval Augmented Large Language Model.Wenting Zhao, Zhongfen Deng, Shweta Yadav, Philip S. Yu
2024WWWRicciNet: Deep Clustering via A Riemannian Generative Model.Li Sun, Jingbin Hu, Suyang Zhou, Zhenhao Huang, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu
2024WWWOpen Metaverse: Issues, Evolution, and Future.Zefeng Chen, Wensheng Gan, Jiayi Sun, Jiayang Wu, Philip S. Yu
2024WWWFrom Creation to Clarification: ChatGPT's Journey Through the Fake News Quagmire.Yue Huang, Kai Shu, Philip S. Yu, Lichao Sun
2024WWWLecture-style Tutorial: Towards Graph Foundation Models.Chuan Shi, Cheng Yang, Yuan Fang, Lichao Sun, Philip S. Yu
2024SIGIRInstruction-based Hypergraph Pretraining.Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2024UAIMulti-Relational Structural Entropy.Yuwei Cao, Hao Peng, Angsheng Li, Chenyu You, Zhifeng Hao, Philip S. Yu
2024WSDMKnowledge Graph Context-Enhanced Diversified Recommendation.Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu
2024WSDMUnified Pretraining for Recommendation via Task Hypergraphs.Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2024WSDMRDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis.Xusheng Zhao, Hao Peng, Qiong Dai, Xu Bai, Huailiang Peng, Yanbing Liu, Qinglang Guo, Philip S. Yu
2024SDMPrompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction.Kun Peng, Lei Jiang, Hao Peng, Rui Liu, Zhengtao Yu, Jiaqian Ren, Zhifeng Hao, Philip S. Yu
2023AAAILearning to Select from Multiple Options.Jiangshu Du, Wenpeng Yin, Congying Xia, Philip S. Yu
2023AAAISelf-Organization Preserved Graph Structure Learning with Principle of Relevant Information.Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu
2023AAAISelf-Supervised Continual Graph Learning in Adaptive Riemannian Spaces.Li Sun, Junda Ye, Hao Peng, Feiyang Wang, Philip S. Yu
2023ACLMultimodal Relation Extraction with Cross-Modal Retrieval and Synthesis.Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu
2023ACLEntity-to-Text based Data Augmentation for various Named Entity Recognition Tasks.Xuming Hu, Yong Jiang, Aiwei Liu, Zhongqiang Huang, Pengjun Xie, Fei Huang, Lijie Wen, Philip S. Yu
2023ACLGDA: Generative Data Augmentation Techniques for Relation Extraction Tasks.Xuming Hu, Aiwei Liu, Zeqi Tan, Xin Zhang, Chenwei Zhang, Irwin King, Philip S. Yu
2023ACLAutomatic Table Union Search with Tabular Representation Learning.Xuming Hu, Shen Wang, Xiao Qin, Chuan Lei, Zhengyuan Shen, Christos Faloutsos, Asterios Katsifodimos, George Karypis, Lijie Wen, Philip S. Yu
2023ACLEnhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer.Shuang Li, Xuming Hu, Aiwei Liu, Yawen Yang, Fukun Ma, Philip S. Yu, Lijie Wen
2023ACLAMR-based Network for Aspect-based Sentiment Analysis.Fukun Ma, Xuming Hu, Aiwei Liu, Yawen Yang, Shuang Li, Philip S. Yu, Lijie Wen
2023ACLEnhancing Cross-lingual Transfer via Phonemic Transcription Integration.Hoang H. Nguyen, Chenwei Zhang, Tao Zhang, Eugene Rohrbaugh, Philip S. Yu
2023CIKMZero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training.Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S. Yu
2023CIKMLearning the Co-evolution Process on Live Stream Platforms with Dual Self-attention for Next-topic Recommendations.Hsu-Chao Lai, Philip S. Yu, Jiun-Long Huang
2023CIKMDimension Independent Mixup for Hard Negative Sample in Collaborative Filtering.Xi Wu, Liangwei Yang, Jibing Gong, Chao Zhou, Tianyu Lin, Xiaolong Liu, Philip S. Yu
2023CIKMGraph-based Alignment and Uniformity for Recommendation.Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu
2023CIKMGroup Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning.Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2023DASFAAA Graph Embedding Approach for Link Prediction via Triadic Closure Based Direct Aggregation and Weighted Concatenation.Yahui Chai, Xiaobin Rui, Jie Yang, Philip S. Yu, Zhixiao Wang
2023DASFAAHierarchical Encoder-Decoder with Addressable Memory Network for Diagnosis Prediction.Mingxia Wang, Yun Xiong, Yao Zhang, Philip S. Yu, Yangyong Zhu
2023DSAATowards Contiguous Sequences in Uncertain Data.Zefeng Chen, Wensheng Gan, Gengsen Huang, Yanxin Zheng, Philip S. Yu
2023EMNLPCoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks.Hoang H. Nguyen, Ye Liu, Chenwei Zhang, Tao Zhang, Philip S. Yu
2023ICASSPGaussian Prior Reinforcement Learning for Nested Named Entity Recognition.Yawen Yang, Xuming Hu, Fukun Ma, Shu'ang Li, Aiwei Liu, Lijie Wen, Philip S. Yu
2023ICDEPlanning Data Poisoning Attacks on Heterogeneous Recommender Systems in a Multiplayer Setting.Chin-Yuan Yeh, Hsi-Wen Chen, De-Nian Yang, Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen
2023ICDMA Counterfactual Fair Model for Longitudinal Electronic Health Records via Deconfounder.Zheng Liu, Xiaohan Li, Philip S. Yu
2023ICDMDeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing.Li Sun, Zhenhao Huang, Hua Wu, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu
2023ICDMIGCN: Item Influence Enhanced Graph Convolution Networks for Recommendation of Cold-Start Items.Shen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu
2023ICDMGraph Neural Ordinary Differential Equations-based method for Collaborative Filtering.Ke Xu, Yuanjie Zhu, Weizhi Zhang, Philip S. Yu
2023ICDMUnsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs.Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Chunyang Liu, Philip S. Yu, Lifang He
2023ICPADSDistributed Training of Large Language Models.Fanlong Zeng, Wensheng Gan, Yongheng Wang, Philip S. Yu
2023IJCAICONGREGATE: Contrastive Graph Clustering in Curvature Spaces.Li Sun, Feiyang Wang, Junda Ye, Hao Peng, Philip S. Yu
2023IJCAIHierarchical State Abstraction based on Structural Information Principles.Xianghua Zeng, Hao Peng, Angsheng Li, Chunyang Liu, Lifang He, Philip S. Yu
2023IJCNLPAll Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm.Jiangshu Du, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu
2023IJCNLPNamed Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach.Yibo Wang, Wenting Zhao, Yao Wan, Zhongfen Deng, Philip S. Yu
2023IJCNLPLocalize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables.Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Zhongfen Deng, Philip S. Yu
2023IJCNNInterpretable and Effective Reinforcement Learning for Attacking against Graph-based Rumor Detection.Yuefei Lyu, Xiaoyu Yang, Jiaxin Liu, Sihong Xie, Philip S. Yu, Xi Zhang
2023KDDSketch-Based Anomaly Detection in Streaming Graphs.Siddharth Bhatia, Mohit Wadhwa, Kenji Kawaguchi, Neil Shah, Philip S. Yu, Bryan Hooi
2023KDDExploiting Intent Evolution in E-commercial Query Recommendation.Yu Wang, Zhengyang Wang, Hengrui Zhang, Qingyu Yin, Xianfeng Tang, Yinghan Wang, Danqing Zhang, Limeng Cui, Monica Xiao Cheng, Bing Yin, Suhang Wang, Philip S. Yu
2023KDDThe 12th International Workshop on Urban Computing.Chuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson
2023RecSysMulti-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation.Yuwei Cao, Liangwei Yang, Chen Wang, Zhiwei Liu, Hao Peng, Chenyu You, Philip S. Yu
2023WWWCMINet: a Graph Learning Framework for Content-aware Multi-channel Influence Diffusion.Hsi-Wen Chen, De-Nian Yang, Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen
2023WWWMutual Wasserstein Discrepancy Minimization for Sequential Recommendation.Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu
2023WWWWeb 3.0: The Future of Internet.Wensheng Gan, Zhenqiang Ye, Shicheng Wan, Philip S. Yu
2023WWWGraph-based Village Level Poverty Identification.Jing Ma, Liangwei Yang, Qiong Feng, Weizhi Zhang, Philip S. Yu
2023WWWAttacking Fake News Detectors via Manipulating News Social Engagement.Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu
2023WWWConsRec: Learning Consensus Behind Interactions for Group Recommendation.Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang, Yangyong Zhu, Philip S. Yu
2023WWWA Post-Training Framework for Improving Heterogeneous Graph Neural Networks.Cheng Yang, Xumeng Gong, Chuan Shi, Philip S. Yu
2023WWWSE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization.Dongcheng Zou, Hao Peng, Xiang Huang, Renyu Yang, Jianxin Li, Jia Wu, Chunyang Liu, Philip S. Yu
2023SIGIRGraph Collaborative Signals Denoising and Augmentation for Recommendation.Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu
2023SIGIRSelfLRE: Self-refining Representation Learning for Low-resource Relation Extraction.Xuming Hu, Junzhe Chen, Shiao Meng, Lijie Wen, Philip S. Yu
2023SIGIRMR2: A Benchmark for Multimodal Retrieval-Augmented Rumor Detection in Social Media.Xuming Hu, Zhijiang Guo, Junzhe Chen, Lijie Wen, Philip S. Yu
2023SIGIRRead it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence.Xuming Hu, Zhaochen Hong, Zhijiang Guo, Lijie Wen, Philip S. Yu
2023SIGIRThink Rationally about What You See: Continuous Rationale Extraction for Relation Extraction.Xuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu
2023SIGIRClick-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerce.Yibo Wang, Yanbing Xue, Bo Liu, Musen Wen, Wenting Zhao, Stephen D. Guo, Philip S. Yu
2023WSDMUnbiased and Efficient Self-Supervised Incremental Contrastive Learning.Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu
2023WSDMReducing Negative Effects of the Biases of Language Models in Zero-Shot Setting.Xiaosu Wang, Yun Xiong, Beichen Kang, Yao Zhang, Philip S. Yu, Yangyong Zhu
2023WSDMRanking-based Group Identification via Factorized Attention on Social Tripartite Graph.Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2023WSDMDGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation.Liangwei Yang, Shengjie Wang, Yunzhe Tao, Jiankai Sun, Xiaolong Liu, Philip S. Yu, Taiqing Wang
2023SDMAnomaly Detection Networks and Fuzzy Control Modules for Energy Grid Management with Q-Learning-Based Decision Making.Jia-Hao Syu, Jerry Chun-Wei Lin, Philip S. Yu
2023SIGdialSlot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learning.Hoang H. Nguyen, Chenwei Zhang, Ye Liu, Philip S. Yu
2022AAAIGraph Structure Learning with Variational Information Bottleneck.Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu
2022AAAIA Self-Supervised Mixed-Curvature Graph Neural Network.Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S. Yu
2022CIKMA Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning.Li Sun, Junda Ye, Hao Peng, Philip S. Yu
2022CIKMContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation.Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang, Philip S. Yu
2022CIKMTime Lag Aware Sequential Recommendation.Lihua Chen, Ning Yang, Philip S. Yu
2022CIKMFrequent Itemset Mining with Local Differential Privacy.Junhui Li, Wensheng Gan, Yijie Gui, Yongdong Wu, Philip S. Yu
2022CIKMFrom Known to Unknown: Quality-aware Self-improving Graph Neural Network For Open Set Social Event Detection.Jiaqian Ren, Lei Jiang, Hao Peng, Yuwei Cao, Jia Wu, Philip S. Yu, Lifang He
2022CIKMCross-Network Social User Embedding with Hybrid Differential Privacy Guarantees.Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu
2022CIKMPosition-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing.Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu
2022CIKMPAS: Privacy Algorithms in Systems.Philip S. Yu, Olivera Kotevska, Tyler Derr
2022CIKMAutomating DBSCAN via Deep Reinforcement Learning.Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Yangyang Li, Jingyi Zhang, Philip S. Yu
2022COLINGScene Graph Modification as Incremental Structure Expanding.Xuming Hu, Zhijiang Guo, Yu Fu, Lijie Wen, Philip S. Yu
2022DASFAAConcurrent Transformer for Spatial-Temporal Graph Modeling.Yi Xie, Yun Xiong, Yangyong Zhu, Philip S. Yu, Cheng Jin, Qiang Wang, Haihong Li
2022DSAAFast Mining RFM Patterns for Behavioral Analytics.Shicheng Wan, Jieying Deng, Wensheng Gan, Jiahui Chen, Philip S. Yu
2022ICDELearning Graph Convolutional Networks based on Quantum Vertex Information Propagation (Extended Abstract).Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock
2022ICDEEpidemic Spread Optimization for Disease Containment with NPIs and Vaccination.Ya-Wen Teng, Yishuo Shi, De-Nian Yang, Wang-Chien Lee, Philip S. Yu, Ying-Liang Lu, Ming-Syan Chen
2022ICDEHierarchical Representation Learning for Attributed Networks.Shu Zhao, Ziwei Du, Jie Chen, Yanping Zhang, Jie Tang, Philip S. Yu
2022ICSENaturalCC: An Open-Source Toolkit for Code Intelligence.Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Yulei Sui, Hongyu Zhang, Kazuma Hashimoto, Hai Jin, Guandong Xu, Caiming Xiong, Philip S. Yu
2022ICWSEvidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory.Jiaqian Ren, Lei Jiang, Hao Peng, Zhiwei Liu, Jia Wu, Philip S. Yu
2022KDDJoint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact).Pamela Bhattacharya, Jing Gao, Meng Jiang, Mehran Kafai, Srijan Kumar, Qi Li, Neil Shah, Sihong Xie, Philip S. Yu, Ming Zeng
2022KDDShallow and Deep Non-IID Learning on Complex Data.Longbing Cao, Philip S. Yu, Zhilin Zhao
2022KDDEfficient Orthogonal Multi-view Subspace Clustering.Man-Sheng Chen, Chang-Dong Wang, Dong Huang, Jian-Huang Lai, Philip S. Yu
2022KDDThe 11th International Workshop on Urban Computing.Chuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson
2022KDDInvariant Preference Learning for General Debiasing in Recommendation.Zimu Wang, Yue He, Jiashuo Liu, Wenchao Zou, Philip S. Yu, Peng Cui
2022KDDCLARE: A Semi-supervised Community Detection Algorithm.Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Caihua Shan, Yiheng Sun, Yangyong Zhu, Philip S. Yu
2022NAACLXLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction.Yuwei Cao, William Groves, Tanay Kumar Saha, Joel R. Tetreault, Alejandro Jaimes, Hao Peng, Philip S. Yu
2022NAACLCHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking.Xuming Hu, Zhijiang Guo, Guanyu Wu, Aiwei Liu, Lijie Wen, Philip S. Yu
2022NAACLHiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction.Shuliang Liu, Xuming Hu, Chenwei Zhang, Shu'ang Li, Lijie Wen, Philip S. Yu
2022WWWSequential Recommendation via Stochastic Self-Attention.Ziwei Fan, Zhiwei Liu, Yu Wang, Alice Wang, Zahra Nazari, Lei Zheng, Hao Peng, Philip S. Yu
2022WWWDual Space Graph Contrastive Learning.Haoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S. Yu, Guandong Xu
2022WWWLarge-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network.Liangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, Philip S. Yu
2022WSDMDy-HIEN: Dynamic Evolution based Deep Hierarchical Intention Network for Membership Prediction.Zhenyun Hao, Jianing Hao, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Xue Wang, Jian Wang
2022WSDMMulti-Sparse-Domain Collaborative Recommendation via Enhanced Comprehensive Aspect Preference Learning.Xiaoyun Zhao, Ning Yang, Philip S. Yu
2021AAAIKG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning.Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu
2021AAAIHyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs.Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Hao Peng, Sen Su, Philip S. Yu
2021BMVCCvS: Classification via Segmentation For Small Datasets.Nooshin Mojab, Philip S. Yu, Joelle A. Hallak, Darvin Yi
2021CIKMHyperbolic Hypergraphs for Sequential Recommendation.Yicong Li, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu
2021CIKMModeling Sequences as Distributions with Uncertainty for Sequential Recommendation.Ziwei Fan, Zhiwei Liu, Shen Wang, Lei Zheng, Philip S. Yu
2021CIKMContinuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer.Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu
2021CIKMClick-Through Rate Prediction with Multi-Modal Hypergraphs.Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu
2021CIKMGraph-based Semi-Supervised Learning by Strengthening Local Label Consistency.Chen Li, Xutan Peng, Hao Peng, Jia Wu, Lihong Wang, Philip S. Yu, Jianxin Li, Lichao Sun
2021CIKMHubness-aware User Identity Linkage.Chaozhuo Li, Senzhang Wang, Feiran Huang, Jie Xu, Philip S. Yu
2021CIKMDSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN.Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu
2021CIKMImproving Chinese Character Representation with Formation Graph Attention Network.Xiaosu Wang, Yun Xiong, Hao Niu, Jingwen Yue, Yangyong Zhu, Philip S. Yu
2021DASFAAMISS: A Multi-user Identification Network for Shared-Account Session-Aware Recommendation.Xinyu Wen, Zhaohui Peng, Shanshan Huang, Senzhang Wang, Philip S. Yu
2021DASFAAAE-UPCP: Seeking Potential Membership Users by Audience Expansion Combining User Preference with Consumption Pattern.Xiaokang Xu, Zhaohui Peng, Senzhang Wang, Shanshan Huang, Philip S. Yu, Zhenyun Hao, Jian Wang, Xue Wang
2021EACLEnriching Non-Autoregressive Transformer with Syntactic and Semantic Structures for Neural Machine Translation.Ye Liu, Yao Wan, Jian-Guo Zhang, Wenting Zhao, Philip S. Yu
2021EMNLPAttend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots.Wenting Zhao, Ye Liu, Yao Wan, Philip S. Yu
2021EMNLPHETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization.Ye Liu, Jian-Guo Zhang, Yao Wan, Congying Xia, Lifang He, Philip S. Yu
2021EMNLPSemi-supervised Relation Extraction via Incremental Meta Self-Training.Xuming Hu, Chenwei Zhang, Fukun Ma, Chenyao Liu, Lijie Wen, Philip S. Yu
2021EMNLPGradient Imitation Reinforcement Learning for Low Resource Relation Extraction.Xuming Hu, Chenwei Zhang, Yawen Yang, Xiaohe Li, Li Lin, Lijie Wen, Philip S. Yu
2021EMNLPDense Hierarchical Retrieval for Open-domain Question Answering.Ye Liu, Kazuma Hashimoto, Yingbo Zhou, Semih Yavuz, Caiming Xiong, Philip S. Yu
2021EMNLPFew-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning.Jian-Guo Zhang, Trung Bui, Seunghyun Yoon, Xiang Chen, Zhiwei Liu, Congying Xia, Quan Hung Tran, Walter Chang, Philip S. Yu
2021EMNLPPDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition.Tao Zhang, Congying Xia, Philip S. Yu, Zhiwei Liu, Shu Zhao
2021ICDEStructure-Aware Parameter-Free Group Query via Heterogeneous Information Network Transformer.Hsi-Wen Chen, Hong-Han Shuai, De-Nian Yang, Wang-Chien Lee, Chuan Shi, Philip S. Yu, Ming-Syan Chen
2021ICDMACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network.Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu
2021ICDMAddressing Exposure Bias in Uplift Modeling for Large-scale Online Advertising.Wenwei Ke, Chuanren Liu, Xiangfu Shi, Yiqiao Dai, Philip S. Yu, Xiaoqiang Zhu
2021ICDMOutlier-Robust Multi-View Subspace Clustering with Prior Constraints.Mehrnaz Najafi, Lifang He, Philip S. Yu
2021ICDMBioHanBERT: A Hanzi-aware Pre-trained Language Model for Chinese Biomedical Text Mining.Xiaosu Wang, Yun Xiong, Hao Niu, Jingwen Yue, Yangyong Zhu, Philip S. Yu
2021ICDMHyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation.Haoran Yang, Hongxu Chen, Lin Li, Philip S. Yu, Guandong Xu
2021IJCAIGraph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks.Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He
2021IJCAIGraph Learning based Recommender Systems: A Review.Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu
2021KDDPurify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors.Yue He, Yancheng Dong, Peng Cui, Yuhang Jiao, Xiaowei Wang, Ji Liu, Philip S. Yu
2021KDDGraph Representation Learning: Foundations, Methods, Applications and Systems.Wei Jin, Yao Ma, Yiqi Wang, Xiaorui Liu, Jiliang Tang, Yukuo Cen, Jiezhong Qiu, Jie Tang, Chuan Shi, Yanfang Ye, Jiawei Zhang, Philip S. Yu
2021KDDThe Third International TrueFact Workshop: Making a Credible Web for Tomorrow.Subhabrata Mukherjee, Qi Li, Sihong Xie, Philip S. Yu, Jing Gao
2021KDD2nd International Workshop on Industrial Recommendation Systems (IRS).Jianpeng Xu, Lingfei Wu, Xiaolin Pang, Mohit Sharma, Dawei Yin, George Karypis, Justin Basilico, Philip S. Yu
2021NAACLHTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization.Zhongfen Deng, Hao Peng, Dongxiao He, Jianxin Li, Philip S. Yu
2021NAACLIncremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System.Congying Xia, Wenpeng Yin, Yihao Feng, Philip S. Yu
2021WWWKnowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs.Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li, Philip S. Yu
2021WWWHighly Liquid Temporal Interaction Graph Embeddings.Huidi Chen, Yun Xiong, Yangyong Zhu, Philip S. Yu
2021WWWSUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism.Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Yuanxing Ning, Philip S. Yu, Lifang He
2021WWWMixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion.Shen Wang, Xiaokai Wei, Ccero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu, Isabel F. Cruz
2021SIGIRUser Preference-aware Fake News Detection.Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun
2021SIGIRAugmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.Zhiwei Liu, Ziwei Fan, Yu Wang, Philip S. Yu
2021SIGIRMedical Triage Chatbot Diagnosis Improvement via Multi-relational Hyperbolic Graph Neural Network.Zheng Liu, Xiaohan Li, Zeyu You, Tao Yang, Wei Fan, Philip S. Yu
2021SIGIRPseudo Siamese Network for Few-shot Intent Generation.Congying Xia, Caiming Xiong, Philip S. Yu
2021SIGIRConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation.Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma, Philip S. Yu
2021SDMSignature-Based Anomaly Detection in Networks.Charu C. Aggarwal, Yao Li, Philip S. Yu
2021SDMMT-STNets: Multi-Task Spatial-Temporal Networks for Multi-Scale Traffic Prediction.Senzhang Wang, Meiyue Zhang, Hao Miao, Philip S. Yu
2020ACCVAddressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score.He Huang, Shunta Saito, Yuta Kikuchi, Eiichi Matsumoto, Wei Tang, Philip S. Yu
2020APWEBKASR: Knowledge-Aware Sequential Recommendation.Qingqin Wang, Yun Xiong, Yangyong Zhu, Philip S. Yu
2020BMVCMulti-label Zero-shot Classification by Learning to Transfer from External Knowledge.He Huang, Wei Tang, Philip S. Yu, Yuanwei Chen, Wenhao Zheng, Qing-Guo Chen
2020CIKMEnhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters.Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng, Philip S. Yu
2020COLINGHierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation.Zhongfen Deng, Hao Peng, Congying Xia, Jianxin Li, Lifang He, Philip S. Yu
2020COLINGMixup-Transformer: Dynamic Data Augmentation for NLP Tasks.Lichao Sun, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu, Lifang He
2020COLINGUser Memory Reasoning for Conversational Recommendation.Hu Xu, Seungwhan Moon, Honglei Liu, Bing Liu, Pararth Shah, Philip S. Yu
2020COLINGUnderstanding Pre-trained BERT for Aspect-based Sentiment Analysis.Hu Xu, Lei Shu, Philip S. Yu, Bing Liu
2020COLINGMZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing.Tao Zhang, Congying Xia, Chun-Ta Lu, Philip S. Yu
2020DASFAAHeterogeneous Graph Embedding for Cross-Domain Recommendation Through Adversarial Learning.Jin Li, Zhaohui Peng, Senzhang Wang, Xiaokang Xu, Philip S. Yu, Zhenyun Hao
2020DASFAAHeterogeneous Replicas for Multi-dimensional Data Management.Jialin Qiao, Yuyuan Kang, Xiangdong Huang, Lei Rui, Tian Jiang, Jianmin Wang, Philip S. Yu
2020DASFAACode2Text: Dual Attention Syntax Annotation Networks for Structure-Aware Code Translation.Yun Xiong, Shaofeng Xu, Keyao Rong, Xinyue Liu, Xiangnan Kong, Shanshan Li, Philip S. Yu, Yangyong Zhu
2020ECAIDeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction.Xuan Lin, Kaiqi Zhao, Tong Xiao, Zhe Quan, Zhi-Jie Wang, Philip S. Yu
2020EMNLPSelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction.Xuming Hu, Lijie Wen, Yusong Xu, Chenwei Zhang, Philip S. Yu
2020EMNLPSemantic Matching and Aggregation Network for Few-shot Intent Detection.Hoang Nguyen, Chenwei Zhang, Congying Xia, Philip S. Yu
2020EMNLPH2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network.Shen Wang, Xiaokai Wei, Ccero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu
2020EMNLPComposed Variational Natural Language Generation for Few-shot Intents.Congying Xia, Caiming Xiong, Philip S. Yu, Richard Socher
2020EMNLPDomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis.Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2020EMNLPDiscriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference.Jian-Guo Zhang, Kazuma Hashimoto, Wenhao Liu, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong
2020ICDETarget Privacy Preserving for Social Networks.Zhongyuan Jiang, Lichao Sun, Philip S. Yu, Hui Li, Jianfeng Ma, Yulong Shen
2020ICDEFakeDetector: Effective Fake News Detection with Deep Diffusive Neural Network.Jiawei Zhang, Bowen Dong, Philip S. Yu
2020ICDMPerfect: A Hyperbolic Embedding for Joint User and Community Alignment.Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Yang Du, Sen Su, Philip S. Yu
2020ICDMDynamic Graph Collaborative Filtering.Xiaohan Li, Mengqi Zhang, Shu Wu, Zheng Liu, Liang Wang, Philip S. Yu
2020ICDMPairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks.Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He
2020ICMLAReal-World Multi-Domain Data Applications for Generalizations to Clinical Settings.Nooshin Mojab, Vahid Noroozi, Darvin Yi, Manoj Prabhakar Nallabothula, Abdullah Aleem, Philip S. Yu, Joelle A. Hallak
2020ICPRCross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks.Yue Wang, Zhuo Xu, Lu Bai, Yao Wan, Lixin Cui, Qian Zhao, Edwin R. Hancock, Philip S. Yu
2020IJCAIAdversarial Mutual Information Learning for Network Embedding.Dongxiao He, Lu Zhai, Zhigang Li, Di Jin, Liang Yang, Yuxiao Huang, Philip S. Yu