Feng Hong

According to our database, Feng Hong authored at least 15 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Innovator: Scientific Continued Pretraining with Fine-grained MoE Upcycling.

Ning Liao, Xiaoxing Wang, Zehao Lin, Weiyang Guo, Feng Hong, Shixiang Song, Geng Yu, Zihua Zhao, Sitao Xie, Longxuan Wei, Xiangqi Jin, Xiaohan Qin, Jiale Ma, Kai Chen, Jiangchao Yao, Zhouhan Lin, Junchi Yan, Zhiyu Li, Feiyu Xiong, Yanfeng Wang, Linfeng Zhang

CoRR, July, 2025

Wide-In, Narrow-Out: Revokable Decoding for Efficient and Effective DLLMs.

Feng Hong, Geng Yu, Yushi Ye, Haicheng Huang, Huangjie Zheng, Ya Zhang, Yanfeng Wang, Jiangchao Yao

CoRR, July, 2025

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning.

Zihua Zhao, Feng Hong, Mengxi Chen, Pengyi Chen, Benyuan Liu, Jiangchao Yao, Ya Zhang, Yanfeng Wang

CoRR, July, 2025

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

Mach. Learn., April, 2025

Learning to Instruct for Visual Instruction Tuning.

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

CoRR, March, 2025

2024

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 Trans. Medical Imaging, August, 2024

Balanced Destruction-Reconstruction Dynamics for Memory-Replay Class Incremental Learning.

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

IEEE Trans. Image Process., 2024

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 Anal., 2024

Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Diversified Batch Selection for Training Acceleration.

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

On Harmonizing Implicit Subpopulations.

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

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

CoRR, 2023

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

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

CoRR, 2023

Combating Representation Learning Disparity with Geometric Harmonization.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Long-Tailed Partial Label Learning via Dynamic Rebalancing.

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023