PPaperPicks

Jiawei Chen

University of Science and Technology of China, School of Information Science and Technology, Hefei, China

33 papers at tracked venues · 26 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-4752-2629 ↗Homepage ↗

Venues

WWW ×7NeurIPS ×6SIGIR ×6WSDM ×3CIKM ×2ICDE ×2RecSys ×2SIGKDD ×2AAAI ×1ICLR ×1ICML ×1

Frequent coauthors

Can Wang
×19
Sheng Zhou
×13
Chun Chen
×11
Yan Feng
×10
Binbin Hu
×7
Bohao Wang
×6
Weiqin Yang
×5
Feng Liu
×5
Jun Wang
×5
Shengjia Zhang
×4
Changwang Zhang
×4
Yuegang Sun
×4

Papers

  1. BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models
    SIGIR 2026 ·
    Weiqin Yang
    ,
    Bohao Wang
    ,
    Zhenxiang Xu
    , Jiawei Chen,
    Shengjia Zhang
    ,
    Jingbang Chen
    ,
    Canghong Jin
    ,
    Can Wang
  2. Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation
    SIGIR 2026 ·
    Ruijun Chen
    ,
    Chongming Gao
    , Jiawei Chen,
    Weiqin Yang
    ,
    Xiangnan He
  3. Does LLM Focus on the Right Words? Mitigating Context Bias in LLM-based Recommenders
    WWW 2026 ·
    Bohao Wang
    , Jiawei Chen,
    Feng Liu
    ,
    Changwang Zhang
    ,
    Jun Wang
    ,
    Canghong Jin
    ,
    Chun Chen
    ,
    Can Wang
  4. Field Matters: A Lightweight LLM-enhanced Method for CTR Prediction
    WWW 2026 ·
    Yu Cui
    ,
    Feng Liu
    , Jiawei Chen,
    Xingyu Lou
    ,
    Changwang Zhang
    ,
    Jun Wang
    ,
    Yuegang Sun
    ,
    Xiaohu Yang
    ,
    Can Wang
  5. GUI-Robust: A Comprehensive Dataset for Testing GUI Agent Robustness in Real-World Anomalies
    SIGKDD 2026 ·
    Jingqi Yang
    ,
    Zhilong Song
    , Jiawei Chen,
    Mingli Song
    ,
    Sheng Zhou
    ,
    Linjun Sun
    ,
    Xiaogang Ouyang
    ,
    Chun Chen
    ,
    Can Wang
  6. SpecTran: Spectral-Aware Transformer-based Adapter for LLM-Enhanced Sequential Recommendation
    SIGIR 2026 ·
    Yu Cui
    ,
    Feng Liu
    ,
    Zhaoxiang Wang
    ,
    Changwang Zhang
    ,
    Jun Wang
    ,
    Can Wang
    , Jiawei Chen
  7. Talos: Optimizing Top-K Accuracy in Recommender Systems
    WWW 2026 ·
    Shengjia Zhang
    ,
    Weiqin Yang
    , Jiawei Chen,
    Peng Wu
    ,
    Yuegang Sun
    ,
    Gang Wang
    ,
    Qihao Shi
    ,
    Can Wang
  8. TopKGAT: A Top-K Objective-Driven Architecture for Recommendation
    WWW 2026 ·
    Sirui Chen
    , Jiawei Chen,
    Canghong Jin
    ,
    Sheng Zhou
    ,
    Jingbang Chen
    ,
    Wujie Sun
    ,
    Can Wang
  9. Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution
    AAAI 2025 ·
    Shengjia Zhang
    , Jiawei Chen,
    Changdong Li
    ,
    Sheng Zhou
    ,
    Qihao Shi
    ,
    Yan Feng
    ,
    Chun Chen
    ,
    Can Wang
  10. Breaking the Top-K Barrier: Advancing Top-K Ranking Metrics Optimization in Recommender Systems
    SIGKDD 2025 ·
    Weiqin Yang
    , Jiawei Chen,
    Shengjia Zhang
    ,
    Peng Wu
    ,
    Yuegang Sun
    ,
    Yan Feng
    ,
    Chun Chen
    ,
    Can Wang
  11. Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding
    WSDM 2025 ·
    Zhe Wang
    ,
    Sheng Zhou
    , Jiawei Chen,
    Zhen Zhang
    ,
    Binbin Hu
    ,
    Yan Feng
    ,
    Chun Chen
    ,
    Can Wang
  12. Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data
    WSDM 2025 ·
    Binbin Hu
    ,
    Zhicheng An
    ,
    Zhengwei Wu
    ,
    Ke Tu
    ,
    Ziqi Liu
    ,
    Zhiqiang Zhang
    ,
    Jun Zhou
    ,
    Yufei Feng
    , Jiawei Chen
  13. How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
    WSDM 2025 ·
    Siyi Lin
    ,
    Chongming Gao
    , Jiawei Chen,
    Sheng Zhou
    ,
    Binbin Hu
    ,
    Yan Feng
    ,
    Chun Chen
    ,
    Can Wang
  14. Learning Counterfactual Outcomes Under Rank Preservation
    NeurIPS 2025 ·
    Peng Wu
    ,
    Haoxuan Li
    ,
    Chunyuan Zheng
    ,
    Yan Zeng
    , Jiawei Chen,
    Yang Liu
    ,
    Ruocheng Guo
    ,
    Kun Zhang
  15. MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender
    SIGIR 2025 ·
    Bohao Wang
    ,
    Feng Liu
    , Jiawei Chen,
    Xingyu Lou
    ,
    Changwang Zhang
    ,
    Jun Wang
    ,
    Yuegang Sun
    ,
    Yan Feng
    ,
    Chun Chen
    ,
    Can Wang
  16. Making Classic GNNs Strong Baselines Across Varying Homophily: A Smoothness-Generalization Perspective
    NeurIPS 2025 ·
    Ming Gu
    ,
    Zhuonan Zheng
    ,
    Sheng Zhou
    ,
    Meihan Liu
    , Jiawei Chen,
    Qiaoyu Tan
    ,
    Liangcheng Li
    ,
    Jiajun Bu
  17. Rankformer: A Graph Transformer for Recommendation based on Ranking Objective
    WWW 2025 ·
    Sirui Chen
    ,
    Shen Han
    , Jiawei Chen,
    Binbin Hu
    ,
    Sheng Zhou
    ,
    Gang Wang
    ,
    Yan Feng
    ,
    Chun Chen
    ,
    Can Wang
  18. Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization
    ICLR 2025 ·
    Junkang Wu
    ,
    Yuexiang Xie
    ,
    Zhengyi Yang
    ,
    Jiancan Wu
    , Jiawei Chen,
    Jinyang Gao
    ,
    Bolin Ding
    ,
    Xiang Wang
    ,
    Xiangnan He
  19. Towards a Unified Framework of Clustering-based Anomaly Detection
    ICML 2025 ·
    Zeyu Fang
    ,
    Ming Gu
    ,
    Sheng Zhou
    , Jiawei Chen,
    Qiaoyu Tan
    ,
    Haishuai Wang
    ,
    Jiajun Bu
  20. Tree of Preferences for Diversified Recommendation
    NeurIPS 2025 ·
    Hanyang Yuan
    ,
    Ning Tang
    ,
    Tongya Zheng
    ,
    Jiarong Xu
    ,
    Xintong Hu
    ,
    Renhong Huang
    ,
    Shunyu Liu
    ,
    Jiacong Hu
    , Jiawei Chen,
    Mingli Song
  21. Uncertainty-Aware Graph Structure Learning
    WWW 2025 ·
    Shen Han
    ,
    Zhiyao Zhou
    , Jiawei Chen,
    Zhezheng Hao
    ,
    Sheng Zhou
    ,
    Gang Wang
    ,
    Yan Feng
    ,
    Chun Chen
    ,
    Can Wang
  22. Understanding and Enhancing Message Passing on Heterophilic Graphs via Compatibility Matrix
    NeurIPS 2025 ·
    Zhuonan Zheng
    ,
    Yuanchen Bei
    ,
    Zhiyao Zhou
    ,
    Sheng Zhou
    ,
    Yao Ma
    ,
    Ming Gu
    ,
    Hongjia Xu
    , Jiawei Chen,
    Jiajun Bu
  23. Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment
    NeurIPS 2024 · Jiawei Chen,
    Chunhui Zhao
  24. BSL: Understanding and Improving Softmax Loss for Recommendation
    ICDE 2024 ·
    Junkang Wu
    , Jiawei Chen,
    Jiancan Wu
    ,
    Wentao Shi
    ,
    Jizhi Zhang
    ,
    Xiang Wang
  25. Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding
    CIKM 2024 ·
    Yichen Liu
    , Jiawei Chen,
    Defang Chen
    ,
    Zhehui Zhou
    ,
    Yan Feng
    ,
    Can Wang
  26. Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Models
    RecSys 2024 ·
    Yu Cui
    ,
    Feng Liu
    ,
    Pengbo Wang
    ,
    Bohao Wang
    ,
    Heng Tang
    ,
    Yi Wan
    ,
    Jun Wang
    , Jiawei Chen
  27. Distributionally Robust Graph-based Recommendation System
    WWW 2024 ·
    Bohao Wang
    , Jiawei Chen,
    Changdong Li
    ,
    Sheng Zhou
    ,
    Qihao Shi
    ,
    Yang Gao
    ,
    Yan Feng
    ,
    Chun Chen
    ,
    Can Wang
  28. EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems
    SIGIR 2024 ·
    Yuanqing Yu
    ,
    Chongming Gao
    , Jiawei Chen,
    Heng Tang
    ,
    Yuefeng Sun
    ,
    Qian Chen
    ,
    Weizhi Ma
    ,
    Min Zhang
  29. Fast Query Answering by Labeling Index on Uncertain Graphs
    ICDE 2024 ·
    Zeyu Wang
    ,
    Qihao Shi
    , Jiawei Chen,
    Can Wang
    ,
    Mingli Song
    ,
    Xinyu Wang
  30. PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation
    NeurIPS 2024 ·
    Weiqin Yang
    , Jiawei Chen,
    Xin Xin
    ,
    Sheng Zhou
    ,
    Binbin Hu
    ,
    Yan Feng
    ,
    Chun Chen
    ,
    Can Wang
  31. ReLand: Integrating Large Language Models' Insights into Industrial Recommenders via a Controllable Reasoning Pool
    RecSys 2024 ·
    Changxin Tian
    ,
    Binbin Hu
    ,
    Chunjing Gan
    ,
    Haoyu Chen
    ,
    Zhuo Zhang
    ,
    Li Yu
    ,
    Ziqi Liu
    ,
    Zhiqiang Zhang
    ,
    Jun Zhou
    , Jiawei Chen
  32. SIGformer: Sign-aware Graph Transformer for Recommendation
    SIGIR 2024 ·
    Sirui Chen
    , Jiawei Chen,
    Sheng Zhou
    ,
    Bohao Wang
    ,
    Shen Han
    ,
    Chanfei Su
    ,
    Yuqing Yuan
    ,
    Can Wang
  33. The Devil is in the Sources! Knowledge Enhanced Cross-Domain Recommendation in an Information Bottleneck Perspective
    CIKM 2024 ·
    Binbin Hu
    ,
    Weifan Wang
    ,
    Shuhan Wang
    ,
    Ziqi Liu
    ,
    Bin Shen
    ,
    Yong He
    , Jiawei Chen