About Me
I am a PhD candidate at Cooperative Medianet Innovation Center (CMIC), Shanghai Jiao Tong University (SJTU), supervised by Prof. Jiangchao Yao, Prof. Ya Zhang and Prof. Yanfeng Wang.
I received my bachelor's degree from Shanghai Jiao Tong University (SJTU) in June 2021. Prior to my university studies, I graduated from NO.1 Middle School Affiliated to Central China Normal University in June 2017.
My research interests include but are not limited to:
- (Multi-modal) Large Language Models
- Efficient Learning
- Distributionally Robust Learning
- Self-supervised and Weakly-supervised Learning
Internship Experience
Research Intern @ Microsoft Research Asia
Research Intern @ A*STAR Centre for Frontier AI Research (CFAR)
Selected Publications
For a full list of my publications, please see the dedicated publications page.
Learning to Instruct for Visual Instruction Tuning
Zhihan Zhou*, Feng Hong*, Jiaan Luo, Jiangchao Yao, Dongsheng Li, Bo Han, Ya Zhang, Yanfeng Wang Preprint 2025Diversified Batch Selection for Training Acceleration
Feng Hong, Yueming Lyu, Jiangchao Yao, Ya Zhang, Ivor W Tsang, Yanfeng Wang ICML 2024On Harmonizing Implicit Subpopulations
Feng Hong, Jiangchao Yao, Yueming Lyu, Zhihan Zhou, Ivor Tsang, Ya Zhang, Yanfeng Wang ICLR 2024Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation
Jiaan Luo*, Feng Hong*, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang NeurIPS 2024Long-Tailed Partial Label Learning via Dynamic Rebalancing
Feng Hong, Jiangchao Yao, Zhihan Zhou, Ya Zhang, Yanfeng Wang ICLR 2023Combating Representation Learning Disparity with Geometric Harmonization
Zhihan Zhou, Jiangchao Yao, Feng Hong, Ya Zhang, Bo Han, Yanfeng Wang NeurIPS 2023 (Spotlight)Bag of Tricks for Long-Tailed Multi-Label Classification on Chest X-Rays
Feng Hong*, Tianjie Dai*, Jiangchao Yao, Ya Zhang, Yanfeng Wang ICCVW 2023Academic Service
I have had the privilege to serve as a reviewer for the following conferences and journals:
- Conference Reviewer:
- ICLR (Notable Reviewer)
- ICML
- NeurIPS (main and benchmark track)
- CVPR
- ICCV
- AISTATS
- ECCV
- AAAI
- ACMMM
- Journal Reviewer:
- Nerual Networks