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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

Weiqin Yang
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Bohao Wang
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Yu Cui
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Sirui Chen
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Shengjia Zhang
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Binbin Hu
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Junkang Wu
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Ruijun Chen
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Jingqi Yang
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Zhe Wang
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Siyi Lin
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Peng Wu
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Papers

  1. BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models
    SIGIR 2026 ·
    Weiqin Yang
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  2. Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation
    SIGIR 2026 ·
    Ruijun Chen
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  3. Does LLM Focus on the Right Words? Mitigating Context Bias in LLM-based Recommenders
    WWW 2026 ·
    Bohao Wang
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  4. Field Matters: A Lightweight LLM-enhanced Method for CTR Prediction
    WWW 2026 ·
    Yu Cui
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  5. GUI-Robust: A Comprehensive Dataset for Testing GUI Agent Robustness in Real-World Anomalies
    SIGKDD 2026 ·
    Jingqi Yang
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  6. SpecTran: Spectral-Aware Transformer-based Adapter for LLM-Enhanced Sequential Recommendation
    SIGIR 2026 ·
    Yu Cui
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  7. Talos: Optimizing Top-K Accuracy in Recommender Systems
    WWW 2026 ·
    Shengjia Zhang
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  8. TopKGAT: A Top-K Objective-Driven Architecture for Recommendation
    WWW 2026 ·
    Sirui Chen
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  9. Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution
    AAAI 2025 ·
    Shengjia Zhang
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  10. Breaking the Top-K Barrier: Advancing Top-K Ranking Metrics Optimization in Recommender Systems
    SIGKDD 2025 ·
    Weiqin Yang
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  11. Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding
    WSDM 2025 ·
    Zhe Wang
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  12. Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data
    WSDM 2025 ·
    Binbin Hu
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  13. How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
    WSDM 2025 ·
    Siyi Lin
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  14. Learning Counterfactual Outcomes Under Rank Preservation
    NeurIPS 2025 ·
    Peng Wu
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  15. MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender
    SIGIR 2025 ·
    Bohao Wang
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  16. Making Classic GNNs Strong Baselines Across Varying Homophily: A Smoothness-Generalization Perspective
    NeurIPS 2025 ·
    Ming Gu
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  17. Rankformer: A Graph Transformer for Recommendation based on Ranking Objective
    WWW 2025 ·
    Sirui Chen
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  18. Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization
    ICLR 2025 ·
    Junkang Wu
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  19. Towards a Unified Framework of Clustering-based Anomaly Detection
    ICML 2025 ·
    Zeyu Fang
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  20. Tree of Preferences for Diversified Recommendation
    NeurIPS 2025 ·
    Hanyang Yuan
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  21. Uncertainty-Aware Graph Structure Learning
    WWW 2025 ·
    Shen Han
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  22. Understanding and Enhancing Message Passing on Heterophilic Graphs via Compatibility Matrix
    NeurIPS 2025 ·
    Zhuonan Zheng
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  23. Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment
    NeurIPS 2024 · Jiawei Chen
  24. BSL: Understanding and Improving Softmax Loss for Recommendation
    ICDE 2024 ·
    Junkang Wu
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  25. Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding
    CIKM 2024 ·
    Yichen Liu
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  26. Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Models
    RecSys 2024 ·
    Yu Cui
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  27. Distributionally Robust Graph-based Recommendation System
    WWW 2024 ·
    Bohao Wang
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  28. EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems
    SIGIR 2024 ·
    Yuanqing Yu
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  29. Fast Query Answering by Labeling Index on Uncertain Graphs
    ICDE 2024 ·
    Zeyu Wang
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  30. PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation
    NeurIPS 2024 ·
    Weiqin Yang
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  31. ReLand: Integrating Large Language Models' Insights into Industrial Recommenders via a Controllable Reasoning Pool
    RecSys 2024 ·
    Changxin Tian
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  32. SIGformer: Sign-aware Graph Transformer for Recommendation
    SIGIR 2024 ·
    Sirui Chen
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  33. The Devil is in the Sources! Knowledge Enhanced Cross-Domain Recommendation in an Information Bottleneck Perspective
    CIKM 2024 ·
    Binbin Hu
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