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Hechang Chen

15 papers at tracked venues · 15 at CORE A* · active 2024–2026

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Venues

NeurIPS ×4ICML ×3SIGKDD ×3AAAI ×2WWW ×2ICDE ×1

Frequent coauthors

Jifeng Hu
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Siyuan Guo
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Sili Huang
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Xingyu Zhu
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Liping Huang
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Zhejian Yang
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Chao Cui
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Xinqi Du
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Songwei Zhao
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Haotian Chi
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Yulin Xu
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Fan Li
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Papers

  1. Effective Robotic Cloth Grasping Through Suppressing False Discoveries
    AAAI 2026 ·
    Xingyu Zhu
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  2. Mining Citywide Dengue Spread Patterns in Singapore Through Hotspot Dynamics from Open Web Data
    WWW 2026 ·
    Liping Huang
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  3. TGSBM: Transformer-Guided Stochastic Block Model for Link Prediction
    WWW 2026 ·
    Zhejian Yang
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  4. Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
    NeurIPS 2025 ·
    Jifeng Hu
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  5. Calibrating Video Watch-time Predictions with Credible Prototype Alignment
    ICML 2025 ·
    Chao Cui
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  6. FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning (Extended Abstract)
    ICDE 2025 ·
    Xinqi Du
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  7. GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs
    AAAI 2025 ·
    Songwei Zhao
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  8. InstructFlow: Adaptive Symbolic Constraint-Guided Code Generation for Long-Horizon Planning
    NeurIPS 2025 ·
    Haotian Chi
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  9. Leveraging Label Distributions as Anchors to Enhance Video Recommendation
    SIGKDD 2025 ·
    Yulin Xu
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  10. Optimizing Case-Based Reasoning System for Functional Test Script Generation with Large Language Models
    SIGKDD 2025 ·
    Siyuan Guo
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  11. Tackling Continual Offline RL through Selective Weights Activation on Aligned Spaces
    NeurIPS 2025 ·
    Jifeng Hu
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  12. Contextual Distillation Model for Diversified Recommendation
    SIGKDD 2024 ·
    Fan Li
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  13. DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning
    ICML 2024 ·
    Siyuan Guo
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  14. Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling
    NeurIPS 2024 ·
    Sili Huang
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  15. In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought
    ICML 2024 ·
    Sili Huang
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