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Xu Chen
Renmin University of China, China
52 papers at tracked venues · 43 at CORE A* · active 2024–2026
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ORCID 0000-0003-0144-1775 ↗
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Venues
ACL
×8
NeurIPS
×7
SIGKDD
×7
WWW
×7
ICLR
×4
NAACL
×4
EMNLP
×3
ICML
×3
AAAI
×2
SIGIR
×2
ACM MM
×1
CIKM
×1
ICDE
×1
RecSys
×1
VLDB
×1
Frequent coauthors
Hao Wang
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×5
Zeyu Zhang
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×4
Xueyang Feng
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×4
Rui Li
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×3
Lei Wang
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×3
Jiakai Tang
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×3
Haoran Tan
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×2
Zexu Sun
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×2
Luyu Chen
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×2
Jingsen Zhang
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×2
Haoxuan Li
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×2
Jinman Zhao
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×1
Papers
Beyond Step Pruning: Information Theory Based Step-level Optimization for Self-Refining Large Language Models
AAAI 2026
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Jinman Zhao
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Divergence Meets Consensus: A Multi-Source Negative Sampling Framework for Sequential Recommendation
SIGIR 2026
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Yuanzi Li
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Explicit v.s. Implicit Memory: Exploring Multi-hop Complex Reasoning Over Personalized Information
SIGKDD 2026
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Zeyu Zhang
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From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents
ACL 2026
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Haoran Tan
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Learning from Cognition: Enhancing RL Efficiency for LLM Reasoning via Hierarchical Metacognitive Decomposition and Refinement
ACL 2026
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Zexu Sun
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Optimizing Multi-Turn Interactive Recommendation Agents via Generative Intrinsic Motivation
WWW 2026
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Xueyang Feng
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CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension
NeurIPS 2025
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Rui Li
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CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds
NAACL 2025
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Lei Wang
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Distributional LLM-as-a-Judge
NeurIPS 2025
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Luyu Chen
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Enhancing Recommendation Explanations through User-Centric Refinement
EMNLP 2025
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Jingsen Zhang
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Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent
ACL 2025
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Xueyang Feng
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GenSim: A General Social Simulation Platform with Large Language Model based Agents
NAACL 2025
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Jiakai Tang
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Improving Retrospective Language Agents via Joint Policy Gradient Optimization
NAACL 2025
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Xueyang Feng
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Iterative Missing Data Imputation with Model Form Adaptation and Non-Missing Feature Supervision
NeurIPS 2025
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Hao Wang
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KAPA: A Deliberative Agent Framework with Tree-Structured Knowledge Base for Multi-Domain User Intent Understanding
ACL 2025
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Jiakai Tang
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KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing
SIGKDD 2025
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Rui Li
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LLM-Based Multi-Agent Systems are Scalable Graph Generative Models
ACL 2025
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Jiarui Ji
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Lighter-X: An Efficient and Plug-and-play Strategy for Graph-based Recommendation through Decoupled Propagation
VLDB 2025
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Yanping Zheng
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MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework
NeurIPS 2025
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Qirui Mi
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MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents
ICLR 2025
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Yanqi Dai
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MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents
ACL 2025
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Haoran Tan
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MemEngine: A Unified and Modular Library for Developing Advanced Memory of LLM-based Agents
WWW 2025
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Zeyu Zhang
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MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants
NeurIPS 2025
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Zeyu Zhang
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Optimal Transport for Time Series Imputation
ICLR 2025
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Hao Wang
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Proximity Matters: Local Proximity Enhanced Balancing for Treatment Effect Estimation
SIGKDD 2025
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Hao Wang
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RecUserSim: A Realistic and Diverse User Simulator for Evaluating Conversational Recommender Systems
WWW 2025
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Luyu Chen
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Select, Read, and Write: A Multi-Agent Framework of Full-Text-based Related Work Generation
ACL 2025
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Xiaochuan Liu
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Tackling the Length Barrier: Dynamic Context Browsing for Knowledge-Intensive Task
SIGKDD 2025
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Hongjin Qian
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The 1st Workshop on LLM Agents for Social Simulation
CIKM 2025
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Yige Yuan
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Time-o1: Time-Series Forecasting Needs Transformed Label Alignment
NeurIPS 2025
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Hao Wang
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Towards Effective and Efficient Continual Pre-training of Large Language Models
ACL 2025
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Jie Chen
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TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System
NAACL 2025
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Zeyu Zhang
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Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning
ICML 2025
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Hao Wang
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Uncertainty and Influence aware Reward Model Refinement for Reinforcement Learning from Human Feedback
ICLR 2025
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Zexu Sun
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A Tutorial on Feature Interpretation in Recommender Systems
RecSys 2024
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Zhaocheng Du
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Causally Debiased Time-aware Recommendation
WWW 2024
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Lei Wang
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Debiased Collaborative Filtering with Kernel-Based Causal Balancing
ICLR 2024
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Haoxuan Li
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Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization
ICML 2024
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Rui Li
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Large Language Model Powered Agents for Information Retrieval
SIGIR 2024
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An Zhang
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Large Language Model Powered Agents in the Web
WWW 2024
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Yang Deng
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Large Language Model-based Human-Agent Collaboration for Complex Task Solving
EMNLP 2024
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Xueyang Feng
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Natural Language Explainable Recommendation with Robustness Enhancement
SIGKDD 2024
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Jingsen Zhang
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Policy-Based Bayesian Active Causal Discovery with Deep Reinforcement Learning
SIGKDD 2024
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Heyang Gao
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Reflective Multi-Agent Collaboration based on Large Language Models
NeurIPS 2024
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Xiaohe Bo
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Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering
ICML 2024
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Haoxuan Li
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See or Guess: Counterfactually Regularized Image Captioning
ACM MM 2024
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Qian Cao
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Simulating Human Society with Large Language Model Agents: City, Social Media, and Economic System
WWW 2024
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Chen Gao
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Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning
SIGKDD 2024
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Jiakai Tang
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Towards Tool Use Alignment of Large Language Models
EMNLP 2024
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Zhiyuan Chen
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Uncovering the Propensity Identification Problem in Debiased Recommendations
ICDE 2024
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Honglei Zhang
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Understanding Human Preferences: Towards More Personalized Video to Text Generation
WWW 2024
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Yihan Wu
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Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework
AAAI 2024
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Lei Wang
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