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Min Zhang

Tsinghua University, Department of Computer Science and Technology, Beijing, China

27 papers at tracked venues · 20 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0003-3158-1920 ↗Homepage ↗

Venues

SIGIR ×9WWW ×6EMNLP ×3RecSys ×3SIGKDD ×3AAAI ×1ACM MM ×1CIKM ×1

Frequent coauthors

Yuanqing Yu
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Heng Er Metilda Chee
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Hanyu Li
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Shenghao Yang
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Yifan Wang
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Jiayu Li
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Junjie Chen
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Alistair Moffat
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Yichen Tang
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Chumeng Jiang
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Jiulong Wu
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Zhiyu He
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Papers

  1. Auto-PRE: An Automatic and Cost-Efficient Peer-Review Framework for Language Generation Evaluation
    AAAI 2026 ·
    Junjie Chen
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  2. Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026
    SIGIR 2026 ·
    Alistair Moffat
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  3. Augmenting Multi-Agent Communication with State Delta Trajectory
    EMNLP 2025 ·
    Yichen Tang
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  4. Beyond Utility: Evaluating LLM as Recommender
    WWW 2025 ·
    Chumeng Jiang
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  5. CD-CDR: Conditional Diffusion-based Item Generation for Cross-Domain Recommendation
    SIGIR 2025 ·
    Hanyu Li
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  6. Explainable Multi-Modality Alignment for Transferable Recommendation
    WWW 2025 ·
    Shenghao Yang
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  7. Improving Long-tail User CTR Prediction via Hierarchical Distribution Alignment
    SIGKDD 2025 ·
    Yifan Wang
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  8. Intelligent Agents with Adaptive Knowledge Fusion for Personalized Recommendation
    WWW 2025 ·
    Yuanqing Yu
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  9. Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization
    EMNLP 2025 ·
    Jiulong Wu
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  10. PerSRV: Personalized Sticker Retrieval with Vision-Language Model
    WWW 2025 ·
    Heng Er Metilda Chee
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  11. Short Video Segment-level User Dynamic Interests Modeling in Personalized Recommendation
    SIGIR 2025 ·
    Zhiyu He
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  12. Small Stickers, Big Meanings: A Multilingual Sticker Semantic Understanding Dataset with a Gamified Approach
    ACM MM 2025 ·
    Heng Er Metilda Chee
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  13. StepTool: Enhancing Multi-Step Tool Usage in LLMs via Step-Grained Reinforcement Learning
    CIKM 2025 ·
    Yuanqing Yu
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  14. U-Sticker: A Large-Scale Multi-Domain User Sticker Dataset for Retrieval and Personalization
    SIGIR 2025 ·
    Heng Er Metilda Chee
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  15. A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models
    EMNLP 2024 ·
    Jiayin Wang
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  16. Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation
    SIGIR 2024 ·
    Hanyu Li
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  17. Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty
    WWW 2024 ·
    Peijie Sun
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  18. Double Correction Framework for Denoising Recommendation
    SIGKDD 2024 ·
    Zhuangzhuang He
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  19. EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video Recommendation
    SIGIR 2024 ·
    Shaorun Zhang
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  20. EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems
    SIGIR 2024 ·
    Yuanqing Yu
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  21. Intersectional Two-sided Fairness in Recommendation
    WWW 2024 ·
    Yifan Wang
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  22. Large Language Models as Evaluators for Recommendation Explanations
    RecSys 2024 ·
    Xiaoyu Zhang
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  23. MACRec: A Multi-Agent Collaboration Framework for Recommendation
    SIGIR 2024 ·
    Zhefan Wang
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  24. Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias
    SIGKDD 2024 ·
    Miaomiao Cai
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  25. ReChorus2.0: A Modular and Task-Flexible Recommendation Library
    RecSys 2024 ·
    Jiayu Li
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  26. Right Tool, Right Job: Recommendation for Repeat and Exploration Consumption in Food Delivery
    RecSys 2024 ·
    Jiayu Li
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  27. Sequential Recommendation with Latent Relations based on Large Language Model
    SIGIR 2024 ·
    Shenghao Yang
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