个人基本信息：

陈君，华中农业大学信息学院博士研究生，研究方向为统计学习理论、无监督表示学习。在读期间在人工智能顶级会议ICML、NeurIPS、AAAI、天体物理期刊ApJs、Space: Science & Technology以及农林科学期刊Plant Phenomics、Scientia Horticulturae等共发表论文10余篇，其中以第一作者身份发表论文7篇。担任人工智能顶级会议NeurIPS、ICLR、ICML、IJCAI、AISTATS审稿人。获2024年国家公派出国留学资格 (悉尼大学)、2023年博士国家奖学金、2023年三好研究生、2023及2022年武汉CCF优博论坛一等奖等荣誉。2023年10月-2024年3月期间在中国人民大学高瓴人工智能学院刘勇教授课题组进行交流访学。

个人主页：https://cjml0808.github.io

文章：

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

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

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

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

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

[6] Jiahuan Wang, Jun Chen, Hong Chen*, Bin Gu, Weifu Li, Xin Tang, Stability-based Generalization Analysis for Pointwise and Pairwise Learning, AAAI, 2023.

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

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

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

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

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

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