G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems. - Youshao Xiao; Shangchun Zhao; Zhenglei Zhou; Zhaoxin Huan; Lin Ju; Xiaolu Zhang; Lin Wang 098; Jun Zhou 011 (CIKM, 2023)

An Adaptive Placement and Parallelism Framework for Accelerating RLHF Training. - Youshao Xiao; Weichang Wu; Zhenglei Zhou; Fagui Mao; Shangchun Zhao; Lin Ju; Lei Liang 001; Xiaolu Zhang; Jun Zhou 011 (CoRR, 2023)

USP: A Unified Sequence Parallelism Approach for Long Context Generative AI. - Jiarui Fang; Shangchun Zhao (CoRR, 2024)

LoongTrain: Efficient Training of Long-Sequence LLMs with Head-Context Parallelism. - Diandian Gu; Peng Sun 006; Qinghao Hu 004; Ting Huang; Xun Chen; Yingtong Xiong; Guoteng Wang; Qiaoling Chen; Shangchun Zhao; Jiarui Fang; Yonggang Wen 001; Tianwei Zhang 004; et al. (CoRR, 2024)

FlexRLHF: A Flexible Placement and Parallelism Framework for Efficient RLHF Training. - Youshao Xiao; Zhenglei Zhou; Fagui Mao; Weichang Wu; Shangchun Zhao; Lin Ju; Lei Liang; Xiaolu Zhang; Jun Zhou (IPDPS, 2025)