Full List of Publications

My name is highlighted as Feng Hong.

For the most up-to-date list, please refer to my Google Scholar profile.

2025

Learning to Instruct for Visual Instruction Tuning

Zhihan Zhou*, Feng Hong*, Jiaan Luo, Jiangchao Yao, Dongsheng Li, Bo Han, Ya Zhang, Yanfeng Wang

Preprint, 2025.

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Uncover the balanced geometry in long-tailed contrastive language-image pretraining

Zhihan Zhou, Yushi Ye, Feng Hong, Peisen Zhao, Jiangchao Yao, Ya Zhang, Qi Tian, Yanfeng Wang

Machine Learning Journal (MLJ), 2025.

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2024

Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation

Jiaan Luo*, Feng Hong*, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang

Conference on Neural Information Processing Systems (NeurIPS), 2024.

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Balanced Destruction-Reconstruction Dynamics for Memory-replay Class Incremental Learning

Yuhang Zhou, Jiangchao Yao, Feng Hong, Ya Zhang, Yanfeng Wang

IEEE Transactions on Image Processing (TIP), 2024.

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Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge

Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen-Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M Summers, George Shih, Zhangyang Wang, Yifan Peng

Medical Image Analysis (MIA), 2024.

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Diversified Batch Selection for Training Acceleration

Feng Hong, Yueming Lyu, Jiangchao Yao, Ya Zhang, Ivor Tsang, Yanfeng Wang

International Conference on Machine Learning (ICML), 2024.

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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

IEEE Transactions on Medical Imaging (TMI), 2024.

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On Harmonizing Implicit Subpopulations

Feng Hong, Jiangchao Yao, Yueming Lyu, Zhihan Zhou, Ivor Tsang, Ya Zhang, Yanfeng Wang

International Conference on Learning Representations (ICLR), 2024.

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2023

Combating Representation Learning Disparity with Geometric Harmonization

Zhian Zhou, Jiangchao Yao, Feng Hong, Ya Zhang, Bo Han, Yanfeng Wang

Conference on Neural Information Processing Systems (NeurIPS), 2023. (Spotlight)

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Bag of Tricks for Long-Tailed Multi-Label Classification on Chest X-Rays

Feng Hong*, Tianjie Dai*, Jiangchao Yao, Ya Zhang, Yanfeng Wang

ICCV Workshop on Computer Vision for Automated Medical Diagnosis (CVAMD), 2023.

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Long-Tailed Partial Label Learning via Dynamic Rebalancing

Feng Hong, Jiangchao Yao, Zhihan Zhou, Ya Zhang, Yanfeng Wang

International Conference on Learning Representations (ICLR), 2023.

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