Selected Publications

Full List: Google Scholar

62 selected publications

* Corresponding author

Surveys & Tutorials

arXiv ’26

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges

Bohao Wang, Yu Cui, Zhenxiang Xu, Jujia Zhao, Chenxiao Fan, Jizhi Zhang, Weiqin Yang, Shengjia Zhang, Sirui Chen, Yang Zhang, Xiaoyan Zhao, Wenjie Wang, Chongming Gao, Fuli Feng, Xiangnan He, Jiawei Chen*

Recommendation LLMs Agents

TMLR ’25

Conditional Image Synthesis with Diffusion Models: A Survey

Zheyuan Zhan, Defang Chen*, Jian-Ping Mei, Zhenghe Zhao, Jiawei Chen, Chun Chen, Siwei Lyu, Can Wang

PDF Paper Resources

ACM CSUR ’24

A comprehensive survey on deep clustering: Taxonomy, challenges, and future directions

Sheng Zhou, Hongjia Xu, Zhuonan Zheng, Jiawei Chen, Zhao Li, Jiajun Bu, Jia Wu, Xin Wang, Wenwu Zhu, Martin Ester

ACM TOIS ’23

Bias and Debias in Recommender System: A Survey and Future Directions

Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, Xiangnan He

ESI Hot Paper · 1,600+ citations

WWW ’21RecSys ’21Tutorial

Bias Issues and Solutions in Recommender System

Jiawei Chen, Xiang Wang, Fuli Feng, Xiangnan He

2026

arXiv ’26

Astar: Learning to Propose Evolution Directions for Self-Evolving Industrial AI Systems

Jinxin Hu, Hao Deng, Haibo Xing, Lingyu Mu, Muyu Zou, Weiqin Yang, Sirui Chen, Bohao Wang, Zhezheng Hao, Hao Zhang, Zulong Chen, Shizhun Wang, Yu Zhang, Xiaoyi Zeng, Jiawei Chen*

LLMs Agents Recommendation

ACL ’26

Rethinking Entropy Interventions in RLVR: An Entropy Change Perspective

Zhezheng Hao, Hong Wang, Haoyang Liu, Jian Luo, Jiarui Yu, Hande Dong*, Qiang Lin, Can Wang, Jiawei Chen*

Outstanding Paper Award

ACL ’26

ReCreate: Reasoning and Creating Domain Agents Driven by Experience

Zhezheng Hao, Hong Wang, Jian Luo, Jianqing Zhang, Yuyan Zhou, Qiang Lin, Can Wang, Hande Dong*, Jiawei Chen*

KDD ’26

The Pitfall of Scaling Up: Uncovering and Mitigating Popularity Bias Amplification in Scaling Transformer-based Recommenders

Weiqin Yang, Yue Pan, Chongming Gao, Sheng Zhou, Xiang Wang, Can Wang, Jiawei Chen*

Oral

SIGIR ’26

BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models

Weiqin Yang, Bohao Wang, Zhenxiang Xu, Jiawei Chen*, Shengjia Zhang, Jingbang Chen, Canghong Jin, Can Wang

Oral

Recommendation LLMs

SIGIR ’26

SpecTran: Spectral-Aware Transformer-based Adapter for LLM-Enhanced Sequential Recommendation

Yu Cui, Feng Liu, Zhaoxiang Wang, Changwang Zhang, Jun Wang, Can Wang, Jiawei Chen*

Oral

Recommendation LLMs

WWW ’26

Does LLM Focus on the Right Words? Diagnosing Language Bias in LLM-based Recommenders

Bohao Wang, Jiawei Chen*, Feng Liu, Changwang Zhang, Jun Wang, Canghong Jin, Chun Chen, Can Wang

Oral

Recommendation LLMs

WWW ’26

Field 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

Oral

Recommendation LLMs

WWW ’26

Talos: Optimizing Top-K Accuracy in Recommender Systems

Shengjia Zhang, Weiqin Yang, Jiawei Chen*, Peng Wu, Yuegang Sun, Gang Wang, Qihao Shi, Can Wang

WWW ’26

TopKGAT: A Top-K Objective-Driven Architecture for Recommendation

Sirui Chen, Jiawei Chen*, Canghong Jin, Sheng Zhou, Jingbang Chen, Wujie Sun, Can Wang

Recommendation Graph Learning

ICLR ’26

Scheduling Your LLM Reinforcement Learning with Reasoning Trees

Hong Wang, Zhezheng Hao, Jian Luo, Chenxing Wei, Yao Shu, Lei Liu, Qiang Lin, Hande Dong*, Jiawei Chen*

KDD ’26

GUI-Robust: A Comprehensive Dataset for Testing GUI Agent Robustness in Real-World Anomalies

Jingqi Yang, Zhilong Song, Jiawei Chen*, Mingli Song, Sheng Zhou, Xiaogang Ouyang, Chun Chen, Can Wang

Oral

2025

ACM TOIS ’25

LLM4DSR: Leveraging Large Language Model for Denoising Sequential Recommendation

Bohao Wang, Feng Liu, Changwang Zhang, Jiawei Chen*, Yudi Wu, Sheng Zhou, Xingyu Lou, Jun Wang, Yan Feng, Chun Chen, Can Wang

Recommendation LLMs

NeurIPS ’25

Tree of Preferences for Diversified Recommendation

Hanyang Yuan, Ning Tang, Tongya Zheng, Jiarong Xu, Xintong Hu, Renhong Huang, Shunyu Liu, Jiacong Hu, Jiawei Chen, Mingli Song

Recommendation LLMs

KDD ’25

Breaking the Top-K Barrier: Advancing Top-K Ranking Metrics Optimization in Recommender Systems

Weiqin Yang, Jiawei Chen*, Shengjia Zhang, Peng Wu, Yuegang Sun, Yan Feng, Chun Chen, Can Wang

Oral

SIGIR ’25

MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender

Bohao Wang, Feng Liu, Jiawei Chen*, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Yan Feng, Chun Chen, Can Wang

Recommendation LLMs

AAAI ’25

Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution

Shengjia Zhang, Jiawei Chen*, Changdong Li, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang

WWW ’25

Rankformer: A graph transformer for recommendation based on ranking objective

Sirui Chen, Shen Han, Jiawei Chen*, Binbin Hu, Sheng Zhou, Gang Wang, Yan Feng, Chun Chen, Can Wang

Recommendation Graph Learning

WWW ’25

Uncertainty-Aware Graph Structure Learning

Shen Han, Zhiyao Zhou, Jiawei Chen*, Zhezheng Hao, Sheng Zhou, Gang Wang, Yan Feng, Chun Chen, Can Wang

WSDM ’25

How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective

Siyi Lin, Chongming Gao, Jiawei Chen*, Sheng Zhou, Binbin Hu, Yan Feng, Chun Chen, Can Wang

Best Paper AwardOral

2024

NeurIPS ’24

PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation

Weiqin Yang, Jiawei Chen*, Xin Xin, Sheng Zhou, Binbin Hu, Yan Feng, Chun Chen, Can Wang

CIKM ’24

Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding

Yichen Liu, Jiawei Chen*, Defang Chen, Zhehui Zhou, Yan Feng, Can Wang

RecSys ’24

Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Models

Yu Cui, Feng Liu, Pengbo Wang, Bohao Wang, Heng Tang, Yi Wan, Jun Wang, Jiawei Chen*

Oral

Recommendation LLMs

ACM TOIS ’24

ReCRec: Reasoning the Causes of Implicit Feedback for Debiased Recommendation

Siyi Lin, Sheng Zhou, Jiawei Chen*, Yan Feng, Qihao Shi, Chun Chen, Ying Li, Can Wang

SIGIR ’24

EasyRL4Rec: A User-Friendly Code Library for Reinforcement Learning Based Recommender Systems

Yuanqing Yu, Chongming Gao, Jiawei Chen*, Heng Tang, Yuefeng Sun, Qian Chen, Weizhi Ma, Min Zhang

Oral

Recommendation Agents

SIGIR ’24

SIGformer: Sign-aware Graph Transformer for Recommendation

Sirui Chen, Jiawei Chen*, Sheng Zhou, Bohao Wang, Shen Han, Chanfei Su, Yuqing Yuan, Can Wang

Oral

Recommendation Graph Learning

WWW ’24

Distributionally Robust Graph-based Recommendation System

Bohao Wang, Jiawei Chen*, Changdong Li, Sheng Zhou, Qihao Shi, Yang Gao, Yan Feng, Chun Chen, Can Wang

Oral

Recommendation Graph Learning

ICDE ’24

BSL: Understanding and Improving Softmax Loss for Recommendation

Junkang Wu, Jiawei Chen*, Jiancan Wu, Wentao Shi, Jizhi Zhang, Xiang Wang

Before 2024

NeurIPS ’23

Understanding Contrastive Learning via Distributionally Robust Optimization

Junkang Wu, Jiawei Chen*, Jiancan Wu, Wentao Shi, Xiang Wang, Xiangnan He*

CIKM ’23

CDR: Conservative Doubly Robust Learning for Debiased Recommendation

Zijie Song, Jiawei Chen*, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang

SIGIR ’23

Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation

Chongming Gao, Kexin Huang, Jiawei Chen*, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang & Xiangnan He*

Best Paper Honorable MentionOral

Recommendation Agents

SIGIR ’23

A Generic Learning Framework for Sequential Recommendation with Distribution Shifts

Zhengyi Yang, Xiangnan He, Jizhi Zhang, Jiancan Wu, Xin Xin, Jiawei Chen & Xiang Wang

Oral

IJCAI ’23

Discriminative-Invariant Representation Learning for Unbiased Recommendation

Hang Pan, Jiawei Chen*, Fuli Feng, Wentao Shi, Junkang Wu & Xiangnan He

WWW ’23

On the Theories Behind Hard Negative Sampling for Recommendation

Wentao Shi, Jiawei Chen*, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao & Xiangnan He*

WWW ’23

Adap-tau: Adaptively Modulating Embedding Magnitude for Recommendation

Jiawei Chen, Junkang Wu, Jiancan Wu, Sheng Zhou, Xuezhi Cao, Xiangnan He

IEEE TKDE ’23

Popularity Bias Is Not Always Evil: Disentangling Benign and Harmful Bias for Recommendation

Zihao Zhao, Jiawei Chen*, Sheng Zhou, Xiangnan He*, Xuezhi Cao, Fuzheng Zhang, Wei Wu

ACM TOIS ’23

CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System

Chongming Gao, Shiqi Wang, Shijun Li, Jiawei Chen*, Xiangnan He*, Wenqiang Lei, Biao Li, Yuan Zhang, Peng Jiang

ESI Highly Cited Paper

Recommendation Agents

WSDM ’23

Unbiased Knowledge Distillation for Recommendation

Gang Chen, Jiawei Chen*, Fuli Feng, Sheng Zhou, Xiangnan He*

NeurIPS ’23

OpenGSL: A Comprehensive Benchmark for Graph Structure Learning

Zhiyao Zhou, Sheng Zhou*, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Yan Feng, Chun Chen, Can Wang

CIKM ’22

KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems

Chongming Gao, Shijun Li, Wenqiang Lei, Biao Li, Peng Jiang, Jiawei Chen, Xiangnan He, Jiaxin Mao, Tat-Seng Chua

Oral

Recommendation Agents

CIKM ’22

KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos

Chongming Gao, Shijun Li, Yuan Zhang, Jiawei Chen, Biao Li, Xiangnan He, Wenqiang Lei, Peng Jiang

Recommendation Agents

WWW ’22

Interactive Hypergraph Neural Network for Personalized Product Search

Dian Cheng, Jiawei Chen*, Wenjun Peng, Wenqin Ye, Fuyu Lv, Tao Zhuang, Xiaoyi Zeng & Xiangnan He

Oral

Recommendation Graph Learning

CIKM ’21

DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network

Junkang Wu, Wentao Shi, Xuezhi Cao, Jiawei Chen*, Wenqiang Lei, Fuzheng Zhang, Wei Wu, Xiangnan He

IEEE TKDE ’21

SamWalker++: Recommendation with Informative Sampling Strategy

Can Wang, Jiawei Chen*, Sheng Zhou, Qihao Shi, Yan Feng and Chun Chen

Recommendation Graph Learning

ICCV ’21

Distilling Holistic Knowledge with Graph Neural Networks

Sheng Zhou, Yuchen Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu

KDD ’21

Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System

Tianxin Wei, Fuli Feng, Jiawei Chen, Ziwei Wu, Jinfeng Yi & Xiangnan He

Oral

SIGIR ’21

AutoDebias: Learning to Debias for Recommendation

Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang

ACM TOIS ’21

CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation

Jiawei Chen, Chengquan Jiang, Can Wang, Sheng Zhou, Yan Feng, Chun Chen, Martin Ester, Xiangnan He

WWW ’21

On the Equivalence of Decoupled Graph Convolution Network and Label Propagation

Hande Dong,Jiawei Chen*, Fuli Feng, Xiangnan He, Shuxian Bi, Zhaolin Ding, Peng Cui

Oral

AAAI ’20

Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback

Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen

Oral

AAAI ’20

DGE: Deep Generative Network Embedding Based on Commonality and Individuality

Sheng Zhou, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jiawei Chen, Qihao Shi, Can Wang

WWW ’19

Samwalker: Social recommendation with informative sampling strategy

Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen

Oral

Recommendation Graph Learning

ICDE ’19

Adaptive Influence Blocking: Minimizing the Negative Spread by Observation-Based Policies

Qihao Shi, Can Wang, Deshi Ye, Jiawei Chen, Yan Feng, Chun Chen

Oral

Neurocomputing ’19

Social recommendation based on users’ attention and preference

Jiawei Chen, Can Wang*, Qihao Shi, Yan Feng, Chun Chen

Neurocomputing ’19

Post and repost: A holistic view of budgeted influence maximization

Qihao Shi, Can Wang*, Jiawei Chen, Yan Feng, Chun Chen

ICDM ’18

Social recommendation with missing not at random data

Jiawei Chen, Can Wang, Martin Ester, Qihao Shi, Yan Feng, Chun Chen

Oral

CIKM ’18

Modeling Users' Exposure with Social Knowledge Influence and Consumption Influence for Recommendation

Jiawei Chen, Yan Feng, Martin Ester, Sheng Zhou, Chun Chen, Can Wang

Oral