Revealing the Dark Secrets of Masked Image Modeling. - Zhenda Xie; Zigang Geng; Jingcheng Hu; Zheng Zhang 022; Han Hu 001; Yue Cao 001 (CVPR, 2023)

FP8-LM: Training FP8 Large Language Models. - Houwen Peng; Kan Wu; Yixuan Wei; Guoshuai Zhao; Yuxiang Yang; Ze Liu; Yifan Xiong 001; Ziyue Yang; Bolin Ni; Jingcheng Hu; Ruihang Li; Miaosen Zhang; et al. (CoRR, 2023)

Common 7B Language Models Already Possess Strong Math Capabilities. - Chen Li; Weiqi Wang; Jingcheng Hu; Yixuan Wei; Nanning Zheng 001; Han Hu 001; Zheng Zhang 022; Houwen Peng (CoRR, 2024)

Xwin-LM: Strong and Scalable Alignment Practice for LLMs. - Bolin Ni; Jingcheng Hu; Yixuan Wei; Houwen Peng; Zheng Zhang 022; Gaofeng Meng; Han Hu 001 (CoRR, 2024)

Multi-matrix Factorization Attention. - Jingcheng Hu; Houyi Li; Yinmin Zhang; Zili Wang; Shuigeng Zhou; Xiangyu Zhang 005; Heung-Yeung Shum (ACL (Findings), 2025)

RBSTUNet: A dual-branch parallel network for colorectal polyp segmentation. - Junbo Gao; Jingcheng Hu; Wei Sun (Biomed. Signal Process. Control., 2025)

Predictable Scale: Part I - Optimal Hyperparameter Scaling Law in Large Language Model Pretraining. - Houyi Li; Wenzhen Zheng; Jingcheng Hu; Qiufeng Wang; Hanshan Zhang; Zili Wang; Shijie Xuyang; Yuantao Fan; Shuigeng Zhou; Xiangyu Zhang 005; Daxin Jiang (CoRR, 2025)

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model. - Jingcheng Hu; Yinmin Zhang; Qi Han; Daxin Jiang; Xiangyu Zhang 005; Heung-Yeung Shum (CoRR, 2025)

Open Vision Reasoner: Transferring Linguistic Cognitive Behavior for Visual Reasoning. - Yana Wei; Liang Zhao; Jianjian Sun; Kangheng Lin; Jisheng Yin; Jingcheng Hu; Yinmin Zhang; En Yu; Haoran Lv; Zejia Weng; Jia Wang; Chunrui Han; et al. (CoRR, 2025)

Step-3 is Large yet Affordable: Model-system Co-design for Cost-effective Decoding. - Bin Wang; Bojun Wang; Changyi Wan; Guanzhe Huang; Hanpeng Hu; Haonan Jia; Nie Hao; Mingliang Li; Nuo Chen; Siyu Chen; Song Yuan; Wuxun Xie; et al. (CoRR, 2025)