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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

Tieliang Gong
×6
Bin Gu
×5
Xuelin Zhang
×4
Biqin Song
×3
Feng Zheng
×3
Han Li
×3
Hao Wang
×2
Jun Chen
×2
Weifu Li
×2
Hao Deng
×2
Xue Jiang
×2
Liyuan Liu
×2

Papers

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