🙋‍♂️ About me 🙋‍♂️

I am a PhD student at the College of Informatics, Huazhong Agricultural University (2022.9-), advised by Professor Hong Chen. I obtained my M.S. degree at the College of Science, Huazhong Agricultural University (2020.9-2022.6) and my B.S. degree at the School of Mathmatics, Taiyuan University of Technology (2016.9-2020.6). I previously visited the Gaoling School of Artificial Intelligence, Renmin University of China, advised by Professor Yong Liu. I am currently jointly advised by Professor Yiming Ying, University of Sydney, for a joint PhD program of Chinese Government Scholarship to Study Abroad.

💻 Research Interests 💻

My research interests lie in the theory and application of machine learning, particularly in statistical machine learning theory, unsupervised learning, federated learning, and their applications in agriculture and space physics. If you want to have a chat, please always feel free to contact me through Email!

🎊 News 🎊

The paper “How does Labeling Error Impact Contrastive Learning? A Perspective from Data Dimensionality Reduction” was accepted as a poster of ICML 2025.

📄 Preprints 📄

  • Clustering-Guided Multi-Layer Contrastive Representation Learning for Citrus Disease Classification Paper
    Jun Chen, Yonghua Yu, Weifu Li, Yaohui Chen, Hong Chen*. 2025.

📄 Publications 📄

Conferences:

  • How does Labeling Error Impact Contrastive Learning? A Perspective from Data Dimensionality Reduction Paper
    Jun Chen, Hong Chen*, Yonghua Yu, Yiming Ying. ICML, 2025.

  • Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent Paper
    Jun Chen, Hong Chen*, Bin Gu, Guodong Liu, Yingjie Wang, Weifu Li*. AAAI, 2025.

  • How Does Black-Box Impact the Learning Guarantee of Stochastic Compositional Optimization? Paper
    Jun Chen, Hong Chen*, Bin Gu. NeurIPS, 2024.

  • Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization Paper
    Jun Chen, Hong Chen*, Bin Gu, Hao Deng*. NeurIPS, 2023.

  • Stability-Based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning Paper
    Jiahuan Wang, Jun Chen, Hong Chen*, Bin Gu, Weifu Li, Xin Tang. AAAI, 2023.

  • On the Stability and Generalization of Triplet Learning Paper
    Jun Chen, Hong Chen*, Xue Jiang, Bin Gu, Weifu Li, Tieliang Gong, Feng Zheng. AAAI, 2023.

Journals:

  • Predicting and Visualizing Citrus Color Transformation Using A Deep Mask-Guided Generative Network Paper
    Zehan Bao#, Weifu Li#, Jun Chen, Hong Chen, Vijay John, Chi Xiao*, Yaohui Chen*. Plant Phenomics, 2023.

  • Improving Human Intuition for Vision-Based Freshness Prediction of Citrus Reticulata Blanco Using Machine Learning Paper
    Yonghua Yu#, Hao Deng#, Jun Chen, Yunjiang Cheng, Rangwei Xu, Shanjun Li*, Yaohui Chen*. Scientia Horticulturae, 2023.

  • Two-stage Hierarchical Framework for Solar Flare Prediction Paper
    Hao Deng, Yuting Zhong, Hong Chen*, Jun Chen, Jingjing Wang, Yanhong Chen, Bingxian Luo. The Astrophysical Journal Supplement Series, 2023.

  • Two-Stage Solar Flare Forecasting Based on Convolutional Neural Networks Paper
    Jun Chen, Weifu Li, Shuxin Li, Hong Chen*, Xuebin Zhao, Jiangtao Peng, Yanhong Chen, Hao Deng. Space: Science & Technology, 2022.

  • RU-net: A Residual U-net for Automatic Interplanetary Coronal Mass Ejection Detection Paper
    Jun Chen, Hao Deng*, Shuxin Li, Weifu Li, Hong Chen, Yanhong Chen, Bingxian Luo. *The Astrophysical Journal Supplement Series, 2022.

  • 基于深度学习的太阳黑子Wilson山磁类型识别方法 论文
    李书馨, 赵学斌, 陈君, 李伟夫, 陈洪, 陈艳红, 崔延美, 袁天娇. 空间科学学报, 2022.

Academic Service

  • Reviewer: ICLR, ICML, NeurIPS, AISTATS, AAAI, IJCAI

Honors

  • 2024 Chinese Government Scholarship to Study Abroad
  • 2023 National Scholarship at Huazhong Agricultural University