Long-Tailed Partial Label Learning via Dynamic Rebalancing. - Feng Hong 004; Jiangchao Yao; Zhihan Zhou 002; Ya Zhang 002; Yanfeng Wang 001 (ICLR, 2023)

Combating Representation Learning Disparity with Geometric Harmonization. - Zhihan Zhou 002; Jiangchao Yao; Feng Hong 004; Ya Zhang 002; Bo Han 003; Yanfeng Wang 001 (NeurIPS, 2023)

Bag of Tricks for Long-Tailed Multi-Label Classification on Chest X-Rays. - Feng Hong 004; Tianjie Dai; Jiangchao Yao; Ya Zhang 002; Yanfeng Wang 001 (CoRR, 2023)

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. - Gregory Holste; Yiliang Zhou; Song Wang 013; Ajay Jaiswal; Mingquan Lin; Sherry Zhuge; Yuzhe Yang 003; Dongkyun Kim; Trong-Hieu Nguyen Mau; Minh-Triet Tran; Jaehyup Jeong; Wongi Park; et al. (CoRR, 2023)

On Harmonizing Implicit Subpopulations. - Feng Hong 004; Jiangchao Yao; Yueming Lyu; Zhihan Zhou 002; Ivor W. Tsang; Ya Zhang 002; Yanfeng Wang 001 (ICLR, 2024)

Diversified Batch Selection for Training Acceleration. - Feng Hong 004; Yueming Lyu; Jiangchao Yao; Ya Zhang 002; Ivor W. Tsang; Yanfeng Wang 001 (ICML, 2024)

Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation. - Jiaan Luo; Feng Hong 004; Jiangchao Yao; Bo Han 003; Ya Zhang 002; Yanfeng Wang 001 (NeurIPS, 2024)

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. - Gregory Holste; Yiliang Zhou; Song Wang 026; Ajay Jaiswal; Mingquan Lin; Sherry Zhuge; Yuzhe Yang 003; Dongkyun Kim; Trong-Hieu Nguyen Mau; Minh-Triet Tran; Jaehyup Jeong; Wongi Park; et al. (Medical Image Anal., 2024)

Balanced Destruction-Reconstruction Dynamics for Memory-Replay Class Incremental Learning. - Yuhang Zhou; Jiangchao Yao; Feng Hong 004; Ya Zhang 002; Yanfeng Wang 001 (IEEE Trans. Image Process., 2024)

UniChest: Conquer-and-Divide Pre-Training for Multi-Source Chest X-Ray Classification. - Tianjie Dai; Ruipeng Zhang; Feng Hong 004; Jiangchao Yao; Ya Zhang 002; Yanfeng Wang 001 (IEEE Trans. Medical Imaging, 2024)

Learning to Instruct for Visual Instruction Tuning. - Zhihan Zhou 002; Feng Hong 004; Jiaan Luo; Jiangchao Yao; Dongsheng Li; Bo Han 003; Ya Zhang 002; Yanfeng Wang 001 (CoRR, 2025)

Uncover the balanced geometry in long-tailed contrastive language-image pretraining. - Zhihan Zhou 002; Yushi Ye; Feng Hong 004; Peisen Zhao; Jiangchao Yao; Ya Zhang 002; Qi Tian 001; Yanfeng Wang 001 (Mach. Learn., 2025)

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning. - Zihua Zhao; Feng Hong 004; Mengxi Chen; Pengyi Chen; Benyuan Liu; Jiangchao Yao; Ya Zhang 002; Yanfeng Wang 001 (CoRR, 2025)

Wide-In, Narrow-Out: Revokable Decoding for Efficient and Effective DLLMs. - Feng Hong 004; Geng Yu; Yushi Ye; Haicheng Huang; Huangjie Zheng; Ya Zhang 002; Yanfeng Wang 001; Jiangchao Yao (CoRR, 2025)

Innovator: Scientific Continued Pretraining with Fine-grained MoE Upcycling. - Ning Liao; Xiaoxing Wang; Zehao Lin; Weiyang Guo; Feng Hong 004; Shixiang Song; Geng Yu; Zihua Zhao; Sitao Xie; Longxuan Wei; Xiangqi Jin; Xiaohan Qin; et al. (CoRR, 2025)