Lin, Haibin

8 publications

NeurIPS 2025 DAPO: An Open-Source LLM Reinforcement Learning System at Scale Qiying Yu, Zheng Zhang, Ruofei Zhu, Yufeng Yuan, Xiaochen Zuo, YuYue, Weinan Dai, Tiantian Fan, Gaohong Liu, Juncai Liu, LingJun Liu, Xin Liu, Haibin Lin, Zhiqi Lin, Bole Ma, Guangming Sheng, Yuxuan Tong, Chi Zhang, Mofan Zhang, Ru Zhang, Wang Zhang, Hang Zhu, Jinhua Zhu, Jiaze Chen, Jiangjie Chen, Chengyi Wang, Hongli Yu, Yuxuan Song, Xiangpeng Wei, Hao Zhou, Jingjing Liu, Wei-Ying Ma, Ya-Qin Zhang, Lin Yan, Yonghui Wu, Mingxuan Wang

NeurIPS 2025 DUO: No Compromise to Accuracy Degradation Jinda Jia, Cong Xie, Hanlin Lu, Fanjiang Ye, Hao Feng, Daoce Wang, Haibin Lin, Zhi Zhang, Xin Liu

ICLR 2024 LEMON: Lossless Model Expansion Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu Sun, Hongxia Yang

NeurIPS 2024 SDP4Bit: Toward 4-Bit Communication Quantization in Sharded Data Parallelism for LLM Training Jinda Jia, Cong Xie, Hanlin Lu, Daoce Wang, Hao Feng, Chengming Zhang, Baixi Sun, Haibin Lin, Zhi Zhang, Xin Liu, Dingwen Tao

CVPRW 2022 ResNeSt: Split-Attention Networks Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Haibin Lin, Zhi Zhang, Yue Sun, Tong He, Jonas Mueller, R. Manmatha, Mu Li, Alexander J. Smola

NeurIPS 2022 SAPipe: Staleness-Aware Pipeline for Data Parallel DNN Training Yangrui Chen, Cong Xie, Meng Ma, Juncheng Gu, Yanghua Peng, Haibin Lin, Chuan Wu, Yibo Zhu

NeurIPS 2020 CSER: Communication-Efficient SGD with Error Reset Cong Xie, Shuai Zheng, Sanmi Koyejo, Indranil Gupta, Mu Li, Haibin Lin

JMLR 2020 GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng, Yi Zhu