Feng Hong æīŠ åģ°ïž‰

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 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 primary research interest includes distributionally robust learning and efficient machine learning.

Interests
  • Distributionally Robust Learning
  • Weakly and Self-supervised Learning
  • Efficient Machine Learning
Education

  • PhD in Information and Communication Engineering, 2021-2026(expected)

    Shanghai Jiao Tong University

  • BSc in Information Engineering, 2017-2021

    Shanghai Jiao Tong University

Recent News

  • [May 2024] 🎉 One paper is accepted by ICML 2024.
  • [Apr 2024] ðŸ›Ŧ Checking out from A*STAR CFAR and seeking new collaboration opportunities.
  • [Mar 2024] 🎉 One paper is accepted by IEEE TMI.
  • [Feb 2024] ðŸ“Đ Invited to serve as a reviewer for ACMMM 2024 and ECCV 2024.
  • [Jan 2024] 🎉 One paper is accepted by ICLR 2024.
  • [Dec 2023] ðŸ“Đ Invited to serve as a reviewer for ICML 2024.
  • [Oct 2023] ðŸ›Ŧ Starting my internship at A*STAR CFAR in Singapore and glad to work with Dr. Yueming Lyu and Prof. Ivor W. Tsang.
  • [Sep 2023] 🎉 One paper is accepted as Spotlight in NeurIPS 2023.
  • [Sep 2023] 🏃 Start my third year PhD study at SJTU.
  • [Sep 2023] ðŸ“Đ Invited to serve as a reviewer for ICLR 2024.
  • [Aug 2023] 🎉 One paper is accepted by ICCV 2023 CVAMD Workshop.
  • [Apr 2023] ðŸ“Đ Invited to serve as a reviewer for NeurIPS 2023.
  • [Mar 2023] ðŸŽĪ Give a talk about our ICLR 2023 paper at Youth PhD Talk by AI Time.
  • [Jan 2023] 🎉 One paper is accepted by ICLR 2023.

Research Experience

  • Research Intern, Oct 2023 - Apr 2024, Singapore

    Centre for Frontier AI Research (CFAR)

    Agency for Science, Technology and Research (A*STAR)

    Advised by Dr. Yueming Lyu and Prof. Ivor W. Tsang

Featured Publications

[ICML24 accepted] Diversified Batch Selection for Training Acceleration
Feng Hong, Yueming Lyu, Jiangchao Yao, Ya Zhang, Ivor Tsang, Yanfeng Wang
[ICLR24] On Harmonizing Implicit Subpopulations
Feng Hong, Jiangchao Yao, Yueming Lyu, Zhihan Zhou, Ivor Tsang, Ya Zhang, Yanfeng Wang
PDF Cite Code
[ICLR24] On Harmonizing Implicit Subpopulations
[NeurIPS23 spotlight] Combating Representation Learning Disparity with Geometric Harmonization
Zhian Zhou, Jiangchao Yao, Feng Hong, Ya Zhang, Bo Han, Yanfeng Wang
PDF Cite Code Poster Slides
[NeurIPS23 spotlight] Combating Representation Learning Disparity with Geometric Harmonization
[ICCVW23] Bag of Tricks for Long-Tailed Multi-Label Classification on Chest X-Rays
Feng Hong, Tianjie Dai, Jiangchao Yao, Ya Zhang, Yanfeng Wang
PDF Cite
[ICCVW23] Bag of Tricks for Long-Tailed Multi-Label Classification on Chest X-Rays
[ICLR23] Long-Tailed Partial Label Learning via Dynamic Rebalancing
Feng Hong, Jiangchao Yao, Zhihan Zhou, Ya Zhang, Yanfeng Wang
PDF Cite Code Poster Slides Video
[ICLR23] Long-Tailed Partial Label Learning via Dynamic Rebalancing

Recent Publications

[ICML24 accepted] Diversified Batch Selection for Training Acceleration
Feng Hong, Yueming Lyu, Jiangchao Yao, Ya Zhang, Ivor Tsang, Yanfeng Wang
[TMI24(accepted)] UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray Classification
Tianjie Dai, Ruipeng Zhang, Feng Hong, Jiangchao Yao, Ya Zhang, Yanfeng Wang
PDF Cite
[ICLR24] On Harmonizing Implicit Subpopulations
Feng Hong, Jiangchao Yao, Yueming Lyu, Zhihan Zhou, Ivor Tsang, Ya Zhang, Yanfeng Wang
PDF Cite Code
[NeurIPS23 spotlight] Combating Representation Learning Disparity with Geometric Harmonization
Zhian Zhou, Jiangchao Yao, Feng Hong, Ya Zhang, Bo Han, Yanfeng Wang
PDF Cite Code Poster Slides
See all publications

Academic Talks

  • Youth PhD Talk for ICLR 2023 @ AI Time, Online, 14 Mar 2023. [Video] [Slides]

Academic Services

Conference Reviewer/Program Committee Member:

  • International Conference on Learning Representations (ICLR), 2024
  • International Conference on Machine Learning (ICML), 2024
  • Conference on Neural Information Processing Systems (NeurIPS), 2023
  • ACM International Conference on Multimedia (ACMMM), 2024
  • European Conference on Computer Vision (ECCV), 2024

Contact

  • feng.hong@sjtu.edu.cn
  • 800 Dongchuan Road, Shanghai, 200240
  • Enter SEIEE Building 5 and take the stairs to Office 303A on Floor 3