Feng Hong - RankMe

25 papers A* 5Journal 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dual-granularity Sinkhorn Distillation for Enhanced Learning from Long-Tailed Noisy Data. Mach. Learn. Feng Hong, Yu Huang, Zihua Zhao, Zhihan Zhou, Jiangchao Yao, Dongsheng Li, Ya Zhang, Yanfeng Wang
2026	J	`jnl`	Rejection Mixing: Fast Semantic Propagation of Mask Tokens for Efficient DLLM Inference. CoRR Yushi Ye, Feng Hong, Huangjie Zheng, Xu Chen, Zhiyong Chen, Yanfeng Wang, Jiangchao Yao
2026	J	`jnl`	TriSpec: Ternary Speculative Decoding via Lightweight Proxy Verification. CoRR Haoyun Jiang, Junqi He, Feng Hong, Xinlong Yang, Jianwei Zhang, Zheng Li, Zhengyang Zhuge, Zhiyong Chen, Bo Han, Junyang Lin, Jiangchao Yao
2025	J	`jnl`	Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning. CoRR Zihua Zhao, Feng Hong, Mengxi Chen, Pengyi Chen, Benyuan Liu, Jiangchao Yao, Ya Zhang, Yanfeng Wang
2025	J	`jnl`	Dual-granularity Sinkhorn Distillation for Enhanced Learning from Long-tailed Noisy Data. CoRR Feng Hong, Yu Huang, Zihua Zhao, Zhihan Zhou, Jiangchao Yao, Dongsheng Li, Ya Zhang, Yanfeng Wang
2025	J	`jnl`	Innovator: Scientific Continued Pretraining with Fine-grained MoE Upcycling. CoRR 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
2025	J	`jnl`	Learning to Instruct for Visual Instruction Tuning. CoRR Zhihan Zhou, Feng Hong, Jiaan Luo, Jiangchao Yao, Dongsheng Li, Bo Han, Ya Zhang, Yanfeng Wang
2025	J	`jnl`	Long-tailed Recognition with Model Rebalancing. CoRR Jiaan Luo, Feng Hong, Qiang Hu, Xiaofeng Cao, Feng Liu, Jiangchao Yao
2025	J	`jnl`	Uncover the balanced geometry in long-tailed contrastive language-image pretraining. Mach. Learn. Zhihan Zhou, Yushi Ye, Feng Hong, Peisen Zhao, Jiangchao Yao, Ya Zhang, Qi Tian, Yanfeng Wang
2025	J	`jnl`	Wide-In, Narrow-Out: Revokable Decoding for Efficient and Effective DLLMs. CoRR Feng Hong, Geng Yu, Yushi Ye, Haicheng Huang, Huangjie Zheng, Ya Zhang, Yanfeng Wang, Jiangchao Yao
2024	J	`jnl`	Balanced Destruction-Reconstruction Dynamics for Memory-Replay Class Incremental Learning. IEEE Trans. Image Process. Yuhang Zhou, Jiangchao Yao, Feng Hong, Ya Zhang, Yanfeng Wang
2024	A*	`conf`	Diversified Batch Selection for Training Acceleration. ICML Feng Hong, Yueming Lyu, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Yanfeng Wang
2024	J	`jnl`	Diversified Batch Selection for Training Acceleration. CoRR Feng Hong, Yueming Lyu, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Yanfeng Wang
2024	A*	`conf`	On Harmonizing Implicit Subpopulations. ICLR Feng Hong, Jiangchao Yao, Yueming Lyu, Zhihan Zhou, Ivor W. Tsang, Ya Zhang, Yanfeng Wang
2024	A*	`conf`	Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation. NeurIPS Jiaan Luo, Feng Hong, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang
2024	J	`jnl`	Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. Medical Image Anal. 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
2024	J	`jnl`	UniChest: Conquer-and-Divide Pre-Training for Multi-Source Chest X-Ray Classification. IEEE Trans. Medical Imaging Tianjie Dai, Ruipeng Zhang, Feng Hong, Jiangchao Yao, Ya Zhang, Yanfeng Wang
2023	J	`jnl`	Bag of Tricks for Long-Tailed Multi-Label Classification on Chest X-Rays. CoRR Feng Hong, Tianjie Dai, Jiangchao Yao, Ya Zhang, Yanfeng Wang
2023	J	`jnl`	Balanced Destruction-Reconstruction Dynamics for Memory-replay Class Incremental Learning. CoRR Yuhang Zhou, Jiangchao Yao, Feng Hong, Ya Zhang, Yanfeng Wang
2023	A*	`conf`	Combating Representation Learning Disparity with Geometric Harmonization. NeurIPS Zhihan Zhou, Jiangchao Yao, Feng Hong, Ya Zhang, Bo Han, Yanfeng Wang
2023	J	`jnl`	Combating Representation Learning Disparity with Geometric Harmonization. CoRR Zhihan Zhou, Jiangchao Yao, Feng Hong, Ya Zhang, Bo Han, Yanfeng Wang
2023	A*	`conf`	Long-Tailed Partial Label Learning via Dynamic Rebalancing. ICLR Feng Hong, Jiangchao Yao, Zhihan Zhou, Ya Zhang, Yanfeng Wang
2023	J	`jnl`	Long-Tailed Partial Label Learning via Dynamic Rebalancing. CoRR Feng Hong, Jiangchao Yao, Zhihan Zhou, Ya Zhang, Yanfeng Wang
2023	J	`jnl`	Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. CoRR 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
2023	J	`jnl`	UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray Classification. CoRR Tianjie Dai, Ruipeng Zhang, Feng Hong, Jiangchao Yao, Ya Zhang, Yanfeng Wang