2019年获上海交通大学和悉尼科技大学双博士学位，曾任阿里巴巴达摩院算法专家，2022年加入上海交通大学任助理教授。长期致力于鲁棒机器学习、大模型预训练相关技术和医疗人工智能应用研究，发表高水平论文80余篇，其中CCF-A类/清华A类论文50余篇，担任ICML、 NeurIPS、 ICLR领域主席，Transactions on Machine Learning Research和Neural Networks执行主编。主持和参与多项国家级和省部级项目，包括国家自然科学基金青年基金项目，科技部-2030人工智能专项，上海市科委项目等。

教育部科技进步一等奖

微软铸星学者

1. 计算机视觉导论（学森课堂）

2. 基于深度学习的计算机视觉进阶

1. Jiaan Luo, Feng Hong, Jiangchao Yao^†, Bo Han, Ya Zhang, Yanfeng Wang. Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation. Advances on Neural Information Processing Systems (NeurIPS'24)

2. Feng Hong, Yueming Lyu, Jiangchao Yao^†, Ya Zhang, Ivor W. Tsang, Yanfeng Wang^†. Diversified Batch Selection for Training Acceleration. International Conference on Machine Learning (ICML'24)

3. Yuhang Zhou, Haolin li, Siyuan Du, Jiangchao Yao^†, Ya Zhang, Yanfeng Wang†. Low-Rank Knowledge Decomposition for Medical Foundation Models. International Conference on Computer Vision and Pattern Recognition (CVPR'24)

     4. Zihua Zhao, Mengxi Chen, Tianjie Dai, Jiangchao Yao^†, Bo Han, Ya Zhang, Yanfeng Wang^†. Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning. International Conference on Computer Vision and Pattern Recognition (CVPR'24)

      5. Feng Hong, Jiangchao Yao^†, Yueming Lyu, Zhihan Zhou, Ivor W. Tsang, Ya Zhang, Yanfeng Wang^†. On Harmonizing Implicit Subpopulations. International Conference on Learning Representation (ICLR'24)

      6. Tianjiao Zhang, Huangjie Zheng, Jiangchao Yao, Xiangfeng Wang, Mingyuan Zhou, Ya Zhang, Yanfeng Wang. Long-tailed Diffusion Models with Oriented Calibration. International Conference on Learning Representation (ICLR'24)

    7. Zhihan Zhou, Jiangchao Yao^†, Feng Hong, Ya Zhang, Bo Han, Yanfeng Wang^†. Combating Representation Learning Disparity with Geometric Harmonization. Advances on Neural Information Processing Systems (NeurIPS'23) 

       8. Yiming Qin, Huangjie Zheng, Jiangchao Yao^†, Mingyuan Zhou, Ya Zhang. Class-Balancing Diffusion Models. International Conference on Computer Vision and Pattern Recognition (CVPR'23)

       9. Feng Hong, Jiangchao Yao^†, Zhihan Zhou, Ya Zhang, Yanfeng Wang^†. Long-tailed Partial Label Learning via Dynamic Rebalancing. International Conference on Learning Representation (ICLR'23)

       10. Zhihan Zhou, Jiangchao Yao^†, Yanfeng Wang^†, Bo Han, Ya Zhang. Contrastive Learning with Boosted Memorization. International Conference on Machine Learning (ICML'22)

       11. Jiayu Lei, Lisong Dai, Haoyun Jiang, Chaoyi Wu, Xiaoman Zhang, Yao Zhang, Jiangchao Yao^†, Weidi Xie, Yanyong Zhang, Yuehua Li, Ya Zhang, Yanfeng Wang^†. UniBrain: Universal Brain MRI Diagnosis with Hierarchical Knowledge-enhanced Pre-training. Computerized Medical Imaging and Graphics (CMIG 2025)

      12. Tianjie Dai, Ruipeng Zhang, Feng Hong, Jiangchao Yao^†, Ya Zhang, Yanfeng Wang^†. UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray Classification. IEEE Transactions on Medical Imaging (TMI 2024)