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 Effective and Efficient Time-aware Entity Alignment Framework via Two-aspect Three-view Label Propagation. - Li Cai; Xin Mao; Youshao Xiao; Changxu Wu; Man Lan (IJCAI, 2023)

Rethinking Memory and Communication Cost for Efficient Large Language Model Training. - Chan Wu; Hanxiao Zhang; Lin Ju; Jinjing Huang; Youshao Xiao; Zhaoxin Huan; Siyuan Li; Fanzhuang Meng; Lei Liang 001; Xiaolu Zhang; Jun Zhou 011 (CoRR, 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)

AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes. - Youshao Xiao; Lin Ju; Zhenglei Zhou; Siyuan Li; Zhaoxin Huan; Dalong Zhang; Rujie Jiang; Lin Wang 098; Xiaolu Zhang; Lei Liang 002; Jun Zhou 011 (ICDE, 2024)

Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models. - Hanxiao Zhang; Lin Ju; Chan Wu; Jinjing Huang; Youshao Xiao; Zhenglei Zhou; Zhiming Fan; Zhaoxin Huan; Siyuan Li; Fanzhuang Meng; Lei Liang 002; Xiaolu Zhang; et al. (NeurIPS, 2024)

AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes. - Youshao Xiao; Lin Ju; Zhenglei Zhou; Siyuan Li; Zhaoxin Huan; Dalong Zhang; Rujie Jiang; Lin Wang 098; Xiaolu Zhang; Lei Liang 001; Jun Zhou 011 (CoRR, 2024)

AntBatchInfer: Elastic Batch Inference in the Kubernetes Cluster. - Siyuan Li; Youshao Xiao; Fanzhuang Meng; Lin Ju; Lei Liang 002; Lin Wang 098; Jun Zhou 011 (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)