陈旭｜厦门大学｜学者主页

2026

IntervenSim: Intervention-Aware Social Network Simulation for Opinion Dynamics

Yunyao Zhang, Zuocheng Ying, Xinglang Zhang, Junqing Yu, Peng Fang, Xu Chen, Wei Yang, Zikai Song

arXiv preprint

2026

How hate spreads online and why it returns: Re-entrant phases driven by collective behavior

Chen Xu, Pak Ming Hui, Chenkai Xia, Neil F. Johnson

arXiv preprint

DOI

2026

From Token-Max to Outcome-Max: How You Use AI Determines Its Productivity

Chen Xu, Mengqiao Liu, Beibei Li, Chenyan Xiong

arXiv preprint

2026

The Attention Market: Interpreting Online Fair Re-ranking as Manifold Optimization under Walrasian Equilibrium

Chen Xu, Wei Chu, Wenyu Hu, Fengran Mo, Jun Xu, Maarten de Rijke

arXiv preprint

2026

Unveiling and Simulating Short-Video Addiction Behaviors via Economic Addiction Theory

Chen Xu, Zhipeng Yi, Ruizi Wang, Wenjie Wang, Jun Xu, Maarten de Rijke

arXiv preprint

2026

Mechanism Design for Generative Engines: From Exploitation toward Win-Win Outcomes

Chen Xu, Zitian Guo, Chenyan Xiong

arXiv preprint

2026

Pailitao-MMSearch: Building Native E-Commerce Multimodal Search Foundation

Xiaohan Ye, Xu Chen, Zihan Gong, Jian Ding, Lianyu Du, Baicheng Chen, Yunmeng Shu, Jingqian Zhao, Zhixiang Zhao, Shuaiqi Jia, Chong Ma, Shuwen Xiao, Xiangheng Kong, Yuan Gao, Jun Song, Jinsong Lan, Xiaoyong Zhu, Bo Zheng

arXiv preprint

2026

JointMatch: A Unified Heterogeneous Graph Neural Solver for Large-Scale Ride-Sharing Matching

Kun Zhao, Xu Chen

arXiv preprint

2026

Benchmarking LLMs for Community Governance Simulation with Life-history Narratives

Xu Chen, Yuanzi Li, Lei Wang, Nan Lu, Yang Wang, Anding Wang, Lei Shi, Xiaoxing Fu, Ji-Rong Wen

arXiv preprint

2026

Learning from the Future: Privileged Self-Distillation for Sequential Recommendation

Jiakai Tang, Yang Zhang, See-Kiong Ng, Xu Chen, Wen Chen, Jian Wu, Han Zhu

arXiv preprint

2026

Divergence Meets Consensus: A Multi-Source Negative Sampling Framework for Sequential Recommendation

Yuanzi Li, Lingjie Wang, Jingyu Zhao, Zihang Tian, Yuhan Wang, Lei Wang, Xu Chen

arXiv preprint

2026

Rethinking the Evaluation and Optimization of LLM-Based Social Simulation

Pei Wang, Xu Chen, Ji-Rong Wen

arXiv preprint

2026

Bringing 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

arXiv preprint

2025

Investigating and Extending Homans' Social Exchange Theory with Large Language Model based Agents

Lei Wang, Zheqing Zhang, Xu Chen

arXiv preprint

2025

FairDiverse: A Comprehensive Toolkit for Fair and Diverse Information Retrieval Algorithms

Chen Xu, Zhirui Deng, Clara Rus, Xiaopeng Ye, Yuanna Liu, Jun Xu, Zhicheng Dou, Ji-Rong Wen, Maarten de Rijke

arXiv preprint

2025

Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation

Chen Xu, Yuxin Li, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua

arXiv preprint

2025

Leveraging Scene Context with Dual Networks for Sequential User Behavior Modeling

Xu Chen, Yunmeng Shu, Yuangang Pan, Jinsong Lan, Xiaoyong Zhu, Shuai Xiao, Haojin Zhu, Ivor W. Tsang, Bo Zheng

arXiv preprint

2025

Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics

Chen Xu, Jujia Zhao, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua, Maarten de Rijke

arXiv preprint

2025

Lighter-X: An Efficient and Plug-and-play Strategy for Graph-based Recommendation through Decoupled Propagation

Yanping Zheng, Zhewei Wei, Frank de Hoog, Xu Chen, Hongteng Xu, Yuhang Ye, Jiadeng Huang

arXiv preprint

2025

CreAgent: Towards Long-Term Evaluation of Recommender System under Platform-Creator Information Asymmetry

Xiaopeng Ye, Chen Xu, Zhongxiang Sun, Jun Xu, Gang Wang, Zhenhua Dong, Ji-Rong Wen

arXiv preprint

2025

Enhancing Recommendation Explanations through User-Centric Refinement

Jingsen Zhang, Zihang Tian, Xueyang Feng, Xu Chen

arXiv preprint

2025

YuLan-OneSim: Towards the Next Generation of Social Simulator with Large Language Models

Lei Wang, Heyang Gao, Xiaohe Bo, Xu Chen, Ji-Rong Wen

arXiv preprint

2025

Explainable Recommendation with Simulated Human Feedback

Jiakai Tang, Jingsen Zhang, Zihang Tian, Xueyang Feng, Lei Wang, Xu Chen

arXiv preprint

DOI

2025

MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework

Qirui Mi, Mengyue Yang, Xiangning Yu, Zhiyu Zhao, Cheng Deng, Bo An, Haifeng Zhang, Xu Chen, Jun Wang

arXiv preprint

2025

Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent

Xueyang Feng, Jingsen Zhang, Jiakai Tang, Wei Li, Guohao Cai, Xu Chen, Quanyu Dai, Yue Zhu, Zhenhua Dong

arXiv preprint

2025

Regret-aware Re-ranking for Guaranteeing Two-sided Fairness and Accuracy in Recommender Systems

Xiaopeng Ye, Chen Xu, Jun Xu, Xuyang Xie, Gang Wang, Zhenhua Dong

arXiv preprint

2025

Enhancing Long-Term Welfare in Recommender Systems: An Information Revelation Approach

Xu Zhao, Xiaopeng Ye, Chen Xu, Weiran Shen, Jun Xu

arXiv preprint

2024

FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval

Chen Xu, Jun Xu, Yiming Ding, Xiao Zhang, Qi Qi

arXiv preprint

2024

Learning Multi-Branch Cooperation for Enhanced Click-Through Rate Prediction at Taobao

Xu Chen, Zida Cheng, Yuangang Pan, Shuai Xiao, Xiaoming Liu, Jinsong Lan, Xiaoyong Zhu, Bo Zheng, Ivor W. Tsang

arXiv preprint

2024

A Taxation Perspective for Fair Re-ranking

Chen Xu, Xiaopeng Ye, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua

arXiv preprint

2024

Counterfactual Learning-Driven Representation Disentanglement for Search-Enhanced Recommendation

Jiajun Cui, Xu Chen, Shuai Xiao, Chen Ju, Jinsong Lan, Qingwen Liu, Wei Zhang

arXiv preprint

2024

Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning

Jiakai Tang, Sunhao Dai, Zexu Sun, Xu Chen, Jun Xu, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li

arXiv preprint

DOI

2024

Debiased Collaborative Filtering with Kernel-Based Causal Balancing

Haoxuan Li, Chunyuan Zheng, Yanghao Xiao, Peng Wu, Zhi Geng, Xu Chen, Peng Cui

arXiv preprint

2024

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System

Zeyu Zhang, Jianxun Lian, Chen Ma, Yaning Qu, Ye Luo, Lei Wang, Rui Li, Xu Chen, Yankai Lin, Le Wu, Xing Xie, Ji-Rong Wen

arXiv preprint

2024

RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm

Yabin Zhang, Wenhui Yu, Erhan Zhang, Xu Chen, Lantao Hu, Peng Jiang, Kun Gai

arXiv preprint

2023

Dually Enhanced Propensity Score Estimation in Sequential Recommendation

Chen Xu, Jun Xu, Xu Chen, Zhenghua Dong, Ji-Rong Wen

arXiv preprint

2023

A Study of Implicit Ranking Unfairness in Large Language Models

Chen Xu, Wenjie Wang, Yuxin Li, Liang Pang, Jun Xu, Tat-Seng Chua

arXiv preprint

2023

Enhancing Cross-domain Click-Through Rate Prediction via Explicit Feature Augmentation

Xu Chen, Zida Cheng, Jiangchao Yao, Chen Ju, Weilin Huang, Jinsong Lan, Xiaoyi Zeng, Shuai Xiao

arXiv preprint

2023

LTP-MMF: Towards Long-term Provider Max-min Fairness Under Recommendation Feedback Loops

Chen Xu, Xiaopeng Ye, Jun Xu, Xiao Zhang, Weiran Shen, Ji-Rong Wen

arXiv preprint

2023

P-MMF: Provider Max-min Fairness Re-ranking in Recommender System

Chen Xu, Sirui Chen, Jun Xu, Weiran Shen, Xiao Zhang, Gang Wang, Zhenghua Dong

arXiv preprint

2023

User Behavior Simulation with Large Language Model based Agents

Lei Wang, Jingsen Zhang, Hao Yang, Zhiyuan Chen, Jiakai Tang, Zeyu Zhang, Xu Chen, Yankai Lin, Ruihua Song, Wayne Xin Zhao, Jun Xu, Zhicheng Dou, Jun Wang, Ji-Rong Wen

arXiv preprint

2023

Cross-domain Augmentation Networks for Click-Through Rate Prediction

Xu Chen, Zida Cheng, Shuai Xiao, Xiaoyi Zeng, Weilin Huang

arXiv preprint

2023

Uncovering ChatGPT's Capabilities in Recommender Systems

Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang, Jun Xu

arXiv preprint

DOI

2023

Fairness-aware Cross-Domain Recommendation

Jiakai Tang, Xu Chen, Xueyang Feng

arXiv preprint

2022

Preventing the Spread of Online Harms: Physics of Contagion across Multi-Platform Social Media and Metaverses

Chen Xu, Pak Ming Hui, Om K. Jha, Chenkai Xia, Neil F. Johnson

arXiv preprint

2022

Sequential Recommendation with User Evolving Preference Decomposition

Weiqi Shao, Xu Chen, Long Xia, Jiashu Zhao, Dawei Yin

arXiv preprint

2022

COSPLAY: Concept Set Guided Personalized Dialogue Generation Across Both Party Personas

Chen Xu, Piji Li, Wei Wang, Haoran Yang, Siyun Wang, Chuangbai Xiao

arXiv preprint

DOI

2022

A Unified Network Equilibrium for E-Hailing Platform Operation and Customer Mode Choice

Xu Chen, Xuan Di

arXiv preprint

2022

Measuring "Why" in Recommender Systems: a Comprehensive Survey on the Evaluation of Explainable Recommendation

Xu Chen, Yongfeng Zhang, Ji-Rong Wen

arXiv preprint

2022

RecBole 2.0: Towards a More Up-to-Date Recommendation Library

Wayne Xin Zhao, Yupeng Hou, Xingyu Pan, Chen Yang, Zeyu Zhang, Zihan Lin, Jingsen Zhang, Shuqing Bian, Jiakai Tang, Wenqi Sun, Yushuo Chen, Lanling Xu, Gaowei Zhang, Zhen Tian, Changxin Tian, Shanlei Mu, Xinyan Fan, Xu Chen, Ji-Rong Wen

arXiv preprint

2022

Sequential Recommendation with Causal Behavior Discovery

Zhenlei Wang, Xu Chen, Rui Zhou, Quanyu Dai, Zhenhua Dong, Ji-Rong Wen

arXiv preprint

2022

Hierarchical Multi-Interest Co-Network For Coarse-Grained Ranking

Xu Yuan, Chen Xu, Qiwei Chen, Chao Li, Junfeng Ge, Wenwu Ou

arXiv preprint

2022

Recent Advances in RecBole: Extensions with more Practical Considerations

Lanling Xu, Zhen Tian, Gaowei Zhang, Lei Wang, Junjie Zhang, Bowen Zheng, Yifan Li, Yupeng Hou, Xingyu Pan, Yushuo Chen, Wayne Xin Zhao, Xu Chen, Ji-Rong Wen

arXiv preprint

2022

Recommendation with User Active Disclosing Willingness

Lei Wang, Xu Chen, Quanyu Dai, Zhenhua Dong

arXiv preprint

2021

Causal Collaborative Filtering

Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang

arXiv preprint

DOI

2021

Counterfactual Explainable Recommendation

Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang

arXiv preprint

DOI

2020

Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation

Xu Chen, Ya Zhang, Ivor Tsang, Yuangang Pan, Jingchao Su

arXiv preprint

2020

Learning Post-Hoc Causal Explanations for Recommendation

Shuyuan Xu, Yunqi Li, Shuchang Liu, Zuohui Fu, Xu Chen, Yongfeng Zhang

arXiv preprint

2020

CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation

Yikun Xian, Zuohui Fu, Handong Zhao, Yingqiang Ge, Xu Chen, Qiaoying Huang, Shijie Geng, Zhou Qin, Gerard de Melo, S. Muthukrishnan, Yongfeng Zhang

arXiv preprint

DOI

2019

Cascading: Association Augmented Sequential Recommendation

Xu Chen, Kenan Cui, Ya Zhang, Yanfeng Wang

arXiv preprint

2019

Privileged Features Distillation at Taobao Recommendations

Chen Xu, Quan Li, Junfeng Ge, Jinyang Gao, Xiaoyong Yang, Changhua Pei, Fei Sun, Jian Wu, Hanxiao Sun, Wenwu Ou

arXiv preprint

2019

Visually-aware Recommendation with Aesthetic Features

Wenhui Yu, Xiangnan He, Jian Pei, Xu Chen, Li Xiong, Jinfei Liu, Zheng Qin

arXiv preprint

2018

Aesthetic-based Clothing Recommendation

Wenhui Yu, Huidi Zhang, Xiangnan He, Xu Chen, Li Xiong, Zheng Qin

arXiv preprint

DOI

2015

Anomalous Contagion and Renormalization in Dynamical Networks with Nodal Mobility

Pedro D. Manrique, Hong Qi, Minzhang Zheng, Chen Xu, Pak Ming Hui, Neil F. Johnson

arXiv preprint

DOI

2009

Common group dynamic drives modern epidemics across social, financial and biological domains

Zhenyuan Zhao, Juan Pablo Calderón, Chen Xu, Dan Fenn, Didier Sornette, Riley Crane, Pak Ming Hui, Neil F. Johnson

arXiv preprint

2008

Human group formation in online guilds and offline gangs driven by common team dynamic

Neil F. Johnson, Chen Xu, Zhenyuan Zhao, Nicolas Ducheneaut, Nicholas Yee, George Tita, Pak Ming Hui

arXiv preprint

DOI

精选作品

期刊论文

想象的疗愈可供性何以可能——基于小红书女性乳腺癌博主的研究

数字文化产业创新生态系统价值共创机制及路径研究

当代青年多账号网络社交与网络空间隐私管理——基于微信小号的研究

"可见性"何以成为生意?——交友类App会员制的监视可供性研究

数字媒介语境中的自我认同及其风险

预印本

IntervenSim: Intervention-Aware Social Network Simulation for Opinion Dynamics

How hate spreads online and why it returns: Re-entrant phases driven by collective behavior

From Token-Max to Outcome-Max: How You Use AI Determines Its Productivity

The Attention Market: Interpreting Online Fair Re-ranking as Manifold Optimization under Walrasian Equilibrium

Unveiling and Simulating Short-Video Addiction Behaviors via Economic Addiction Theory

Mechanism Design for Generative Engines: From Exploitation toward Win-Win Outcomes

Pailitao-MMSearch: Building Native E-Commerce Multimodal Search Foundation

JointMatch: A Unified Heterogeneous Graph Neural Solver for Large-Scale Ride-Sharing Matching

Benchmarking LLMs for Community Governance Simulation with Life-history Narratives

Learning from the Future: Privileged Self-Distillation for Sequential Recommendation

Divergence Meets Consensus: A Multi-Source Negative Sampling Framework for Sequential Recommendation

Rethinking the Evaluation and Optimization of LLM-Based Social Simulation

Bringing Reasoning to Generative Recommendation Through the Lens of Cascaded Ranking

Investigating and Extending Homans' Social Exchange Theory with Large Language Model based Agents

FairDiverse: A Comprehensive Toolkit for Fair and Diverse Information Retrieval Algorithms

Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation

Leveraging Scene Context with Dual Networks for Sequential User Behavior Modeling

Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics

Lighter-X: An Efficient and Plug-and-play Strategy for Graph-based Recommendation through Decoupled Propagation

CreAgent: Towards Long-Term Evaluation of Recommender System under Platform-Creator Information Asymmetry

Enhancing Recommendation Explanations through User-Centric Refinement

YuLan-OneSim: Towards the Next Generation of Social Simulator with Large Language Models

Explainable Recommendation with Simulated Human Feedback

MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework

Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent

Regret-aware Re-ranking for Guaranteeing Two-sided Fairness and Accuracy in Recommender Systems

Enhancing Long-Term Welfare in Recommender Systems: An Information Revelation Approach

FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval

Learning Multi-Branch Cooperation for Enhanced Click-Through Rate Prediction at Taobao

A Taxation Perspective for Fair Re-ranking

Counterfactual Learning-Driven Representation Disentanglement for Search-Enhanced Recommendation

Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning

Debiased Collaborative Filtering with Kernel-Based Causal Balancing

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System

RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm

Dually Enhanced Propensity Score Estimation in Sequential Recommendation

A Study of Implicit Ranking Unfairness in Large Language Models

Enhancing Cross-domain Click-Through Rate Prediction via Explicit Feature Augmentation

LTP-MMF: Towards Long-term Provider Max-min Fairness Under Recommendation Feedback Loops

P-MMF: Provider Max-min Fairness Re-ranking in Recommender System

User Behavior Simulation with Large Language Model based Agents

Cross-domain Augmentation Networks for Click-Through Rate Prediction

Uncovering ChatGPT's Capabilities in Recommender Systems

Fairness-aware Cross-Domain Recommendation

Preventing the Spread of Online Harms: Physics of Contagion across Multi-Platform Social Media and Metaverses

Sequential Recommendation with User Evolving Preference Decomposition

COSPLAY: Concept Set Guided Personalized Dialogue Generation Across Both Party Personas

A Unified Network Equilibrium for E-Hailing Platform Operation and Customer Mode Choice

Measuring "Why" in Recommender Systems: a Comprehensive Survey on the Evaluation of Explainable Recommendation

RecBole 2.0: Towards a More Up-to-Date Recommendation Library

Sequential Recommendation with Causal Behavior Discovery

Hierarchical Multi-Interest Co-Network For Coarse-Grained Ranking

Recent Advances in RecBole: Extensions with more Practical Considerations

Recommendation with User Active Disclosing Willingness

Causal Collaborative Filtering

Counterfactual Explainable Recommendation

Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation

Learning Post-Hoc Causal Explanations for Recommendation

CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation

Cascading: Association Augmented Sequential Recommendation

Privileged Features Distillation at Taobao Recommendations

Visually-aware Recommendation with Aesthetic Features

Aesthetic-based Clothing Recommendation

Anomalous Contagion and Renormalization in Dynamical Networks with Nodal Mobility

Common group dynamic drives modern epidemics across social, financial and biological domains

Human group formation in online guilds and offline gangs driven by common team dynamic

研究方向