Feng Hong

2022202320241 12 14

Jiangchao YaoShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Ya ZhangShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Zhihan ZhouShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Tianjie DaiShanghai AI Laboratory | Shanghai Jiao Tong UniversityVerified email at pjlab.org.cn
yuhang zhouShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Ruipeng ZhangShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Ivor W. Tsang, IEEE FellowInaugural A*STAR AI Fellow and Director, Centre for Frontier AI Research, A*STARVerified email at cfar.a-star.edu.sg
Yueming LyuResearch Scientist I, A*STARVerified email at ihpc.a-star.edu.sg
Yanfeng WangShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn

Feng Hong

Verified email at sjtu.edu.cn - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Long-Tailed Partial Label Learning via Dynamic Rebalancing F Hong, J Yao, Z Zhou, Y Zhang, Y Wang International Conference on Learning Representations (ICLR), 2023	18	2023
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge G Holste, Y Zhou, S Wang, A Jaiswal, M Lin, S Zhuge, Y Yang, D Kim, ... ArXiv, 2023	5*	2023
On Harmonizing Implicit Subpopulations F Hong, J Yao, Y Lyu, Z Zhou, I Tsang, Y Zhang, Y Wang International Conference on Learning Representations (ICLR), 2024	1	2024
UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray Classification T Dai, R Zhang, F Hong, J Yao, Y Zhang, Y Wang IEEE Transactions on Medical Imaging (TMI), 2024	1	2024
Balanced destruction-reconstruction dynamics for memory-replay class incremental learning Y Zhou, J Yao, F Hong, Y Zhang, Y Wang arXiv preprint arXiv:2308.01698, 2023	1	2023
Bag of Tricks for Long-Tailed Multi-Label Classification on Chest X-Rays F Hong, T Dai, J Yao, Y Zhang, Y Wang ICCVW 2023 CVAMD, 2023	1	2023
Combating Representation Learning Disparity with Geometric Harmonization Z Zhou, J Yao, F Hong, Y Zhang, B Han, Y Wang NeurIPS 2023 spotlight, 2023		2023

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