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Yong Yu

Shanghai Jiao Tong University, Department of Computer Science, Apex Data and Knowledge Management Lab, China

45 papers at tracked venues · 34 at CORE A* · active 2024–2026

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Venues

WWW ×10ACL ×9SIGKDD ×6CIKM ×5SIGIR ×4AAAI ×2EMNLP ×2NeurIPS ×2RecSys ×2ECML-PKDD ×1ICML ×1ICRA ×1

Frequent coauthors

Yunjia Xi
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Jianghao Lin
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Lingyue Fu
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Junjie Huang
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Qingyao Li
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Jiarui Jin
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Jizheng Chen
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Weiming Zhang
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Jiachen Zhu
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Yifan Liu
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Congmin Zheng
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Yingxuan Yang
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Papers

  1. A Comprehensive Survey of Process Reward Models: Data Generation, Model Construction, and Usage
    ACL 2026 ·
    Congmin Zheng
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  2. A Survey of Large Language Model-Based Search Agents
    ACL 2026 ·
    Yunjia Xi
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  3. Attribution-Based Analysis and Optimization of Modular Agentic Workflows
    ACL 2026 ·
    Yingxuan Yang
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  4. ColorBench: Benchmarking Mobile Agents with Graph-Structured Framework for Complex Long-Horizon Tasks
    WWW 2026 ·
    Yuanyi Song
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  5. CoreCodeBench: Decoupling Code Intelligence via Fine-Grained Repository-Level Tasks
    ACL 2026 ·
    Lingyue Fu
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  6. LoopTool: Closing the Data-Training Loop for Robust LLM Tool Calls
    ACL 2026 ·
    Kangning Zhang
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  7. Modular Representation Compression: Adapting LLM Representations for Efficient and Effective Recommendation
    SIGIR 2026 ·
    Yunjia Xi
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  8. Offline Fictitious Self-Play for Competitive Games
    AAAI 2026 ·
    Jingxiao Chen
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  9. Sell It Before You Make It: Revolutionizing E-Commerce with Personalized AI-Generated Items
    SIGKDD 2026 ·
    Jianghao Lin
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  10. Action First: Leveraging Preference-Aware Actions for More Effective Decision-Making in Interactive Recommender Systems
    SIGIR 2025 ·
    Renting Rui
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  11. AdvKT: An Adversarial Multi-step Training Framework for Knowledge Tracing
    ECML-PKDD 2025 ·
    Lingyue Fu
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  12. An Automatic Graph Construction Framework based on Large Language Models for Recommendation
    SIGKDD 2025 ·
    Rong Shan
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  13. Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs
    AAAI 2025 ·
    Junjie Huang
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  14. Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation
    ACL 2025 ·
    Kounianhua Du
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  15. Bursting Filter Bubble: Enhancing Serendipity Recommendations with Aligned Large Language Models
    SIGKDD 2025 ·
    Yunjia Xi
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  16. CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation
    ACL 2025 ·
    Qingyao Li
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  17. D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems
    WWW 2025 ·
    Jiarui Qin
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  18. DebateCoder: Towards Collective Intelligence of LLMs via Test Case Driven LLM Debate for Code Generation
    ACL 2025 ·
    Jizheng Chen
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  19. Diffusion Models for Recommender Systems: From Content Distribution To Content Creation
    SIGKDD 2025 ·
    Jianghao Lin
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  20. Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding
    SIGIR 2025 ·
    Yunjia Xi
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  21. LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis
    CIKM 2025 ·
    Weiming Zhang
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  22. Large Language Models are Demonstration Pre-Selectors for Themselves
    ICML 2025 ·
    Jiarui Jin
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  23. NL-Debugging: Exploiting Natural Language as an Intermediate Representation for Code Debugging
    EMNLP 2025 ·
    Weiming Zhang
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  24. RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation
    EMNLP 2025 ·
    Qingyao Li
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  25. Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning
    ACL 2025 ·
    Jiachen Zhu
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  26. Simulating Question-answering Correctness with a Conditional Diffusion
    WWW 2025 ·
    Ting Long
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  27. Stop DDoS Attacking the Research Community with AI-Generated Survey Papers
    NeurIPS 2025 ·
    Jianghao Lin
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  28. Unleashing the Potential of Multi-Channel Fusion in Retrieval for Personalized Recommendations
    WWW 2025 ·
    Junjie Huang
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  29. Why Not Together? A Multiple-Round Recommender System for Queries and Items
    SIGKDD 2025 ·
    Jiarui Jin
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  30. World Model-Based Perception for Visual Legged Locomotion
    ICRA 2025 ·
    Hang Lai
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  31. AlignRec: Aligning and Training in Multimodal Recommendations
    CIKM 2024 ·
    Yifan Liu
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  32. ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction
    WWW 2024 ·
    Jianghao Lin
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  33. ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation
    CIKM 2024 ·
    Jizheng Chen
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  34. FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction
    RecSys 2024 ·
    Hangyu Wang
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  35. HiFI: Hierarchical Fairness-aware Integrated Ranking with Constrained Reinforcement Learning
    WWW 2024 ·
    Yifan Liu
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  36. InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization
    WWW 2024 ·
    Jiarui Jin
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  37. M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation
    WWW 2024 ·
    Jiachen Zhu
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  38. MADiff: Offline Multi-agent Learning with Diffusion Models
    NeurIPS 2024 ·
    Zhengbang Zhu
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  39. MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models
    CIKM 2024 ·
    Yunjia Xi
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  40. Privileged Knowledge State Distillation for Reinforcement Learning-based Educational Path Recommendation
    SIGKDD 2024 ·
    Qingyao Li
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  41. ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
    WWW 2024 ·
    Jianghao Lin
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  42. Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data
    WWW 2024 ·
    Junjie Huang
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  43. SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model
    CIKM 2024 ·
    Lingyue Fu
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  44. TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision
    SIGIR 2024 ·
    Ruiwen Zhou
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  45. Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models
    RecSys 2024 ·
    Yunjia Xi
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