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，2026至今副教授。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100余篇，其中CCF-A类/清华A类论文60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。

大模型及智能体效率优化、医疗人工智能

重要论文：

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)

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

教育部科技进步一等奖

微软铸星学者