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Hong Chen

Huazhong Agricultural University, College of Informatics, Department of Mathematics and Statistics, Wuhan, China

18 papers at tracked venues · 12 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-9084-5482 ↗Homepage ↗

Venues

ICLR ×4AAAI ×3IJCAI ×3CIKM ×2ICML ×2CVPR ×1ICDM ×1NeurIPS ×1SIGKDD ×1

Frequent coauthors

Hao Wang
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Jun Chen
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Xuelin Zhang
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Wen Wen
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Yuxin Dong
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Yuhang Qiu
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Zhihao Li
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Liyuan Liu
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Ke Zhang
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Xinyue Liu
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Peipei Yuan
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Xue Jiang
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Papers

  1. Integral-based Knockoffs Inference for Partially Linear Models
    AAAI 2026 ·
    Hao Wang
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  2. Controlled Feature Interaction Selection for Deep Sparse Networks
    CIKM 2025 ·
    Yuhang Qiu
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  3. Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent
    AAAI 2025 ·
    Jun Chen
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  4. Interpretable Meta-weighting Sparse Neural Additive Networks for Datasets with Label Noise and Class Imbalance
    CIKM 2025 ·
    Xuelin Zhang
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  5. Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery
    AAAI 2025 ·
    Hao Wang
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  6. On the Generalization Ability of Next-Token-Prediction Pretraining
    ICML 2025 ·
    Zhihao Li
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  7. Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification
    ICLR 2025 ·
    Wen Wen
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  8. Trajectory-Dependent Generalization Bounds for Pairwise Learning with φ-mixing Samples
    IJCAI 2025 ·
    Liyuan Liu
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  9. Asynchronous Vertical Federated Learning for Kernelized AUC Maximization
    SIGKDD 2024 ·
    Ke Zhang
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  10. Fine-grained Analysis of Stability and Generalization for Stochastic Bilevel Optimization
    IJCAI 2024 ·
    Xuelin Zhang
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  11. General Stability Analysis for Zeroth-Order Optimization Algorithms
    ICLR 2024 ·
    Xinyue Liu
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  12. Generalized Sparse Additive Model with Unknown Link Function
    ICDM 2024 ·
    Peipei Yuan
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  13. How Does Black-Box Impact the Learning Guarantee of Stochastic Compositional Optimization?
    NeurIPS 2024 ·
    Jun Chen
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  14. Negative Label Guided OOD Detection with Pretrained Vision-Language Models
    ICLR 2024 ·
    Xue Jiang
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  15. PTQ4SAM: Post-Training Quantization for Segment Anything
    CVPR 2024 ·
    Chengtao Lv
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  16. Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds
    ICLR 2024 ·
    Yuxin Dong
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  17. Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective
    ICML 2024 ·
    Yuxin Dong
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  18. Towards Sharper Generalization Bounds for Adversarial Contrastive Learning
    IJCAI 2024 ·
    Wen Wen
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