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Chun Chen

Zhejiang University, College of Computer Science and Technology, Hangzhou, China

16 papers at tracked venues · 14 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-6198-7481 ↗Homepage ↗

Venues

WWW ×4AAAI ×2NeurIPS ×2SIGKDD ×2WSDM ×2CVPR ×1ICCV ×1SIGIR ×1VLDB ×1

Frequent coauthors

Zhenyu Zhou
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Bohao Wang
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Weiqin Yang
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Wenjie Huang
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Jingqi Yang
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Shengjia Zhang
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Zhe Wang
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Siyi Lin
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Wujie Sun
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Sirui Chen
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Shen Han
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Papers

  1. DICE: Distilling Classifier-Free Guidance into Text Embeddings
    AAAI 2026 ·
    Zhenyu Zhou
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  2. Does LLM Focus on the Right Words? Mitigating Context Bias in LLM-based Recommenders
    WWW 2026 ·
    Bohao Wang
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  3. FlareDTDG: Harnessing Temporal Recency for Scalable Discrete-Time Dynamic Graph Training
    VLDB 2026 ·
    Wenjie Huang
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  4. GUI-Robust: A Comprehensive Dataset for Testing GUI Agent Robustness in Real-World Anomalies
    SIGKDD 2026 ·
    Jingqi Yang
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  5. Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution
    AAAI 2025 ·
    Shengjia Zhang
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  6. Breaking the Top-K Barrier: Advancing Top-K Ranking Metrics Optimization in Recommender Systems
    SIGKDD 2025 ·
    Weiqin Yang
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  7. Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding
    WSDM 2025 ·
    Zhe Wang
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  8. How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
    WSDM 2025 ·
    Siyi Lin
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  9. Knowledge Distillation with Refined Logits
    ICCV 2025 ·
    Wujie Sun
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  10. MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender
    SIGIR 2025 ·
    Bohao Wang
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  11. Rankformer: A Graph Transformer for Recommendation based on Ranking Objective
    WWW 2025 ·
    Sirui Chen
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  12. Uncertainty-Aware Graph Structure Learning
    WWW 2025 ·
    Shen Han
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  13. Distributionally Robust Graph-based Recommendation System
    WWW 2024 ·
    Bohao Wang
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  14. Fast ODE-based Sampling for Diffusion Models in Around 5 Steps
    CVPR 2024 ·
    Zhenyu Zhou
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  15. PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation
    NeurIPS 2024 ·
    Weiqin Yang
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  16. Simple and Fast Distillation of Diffusion Models
    NeurIPS 2024 ·
    Zhenyu Zhou
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