Volume upscaling with convolutional neural networks. - Zhenglei Zhou; Yule Hou; Qirui Wang; Guangxiang Chen; Jiawei Lu; Yubo Tao; Hai Lin 003 (CGI, 2017)

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)

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)

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)

Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs. - Ling Team; Bin Hu; Cai Chen; Deng Zhao; Ding Liu; Dingnan Jin; Feng Zhu; Hao Dai; Hongzhi Luan; Jia Guo; Jiaming Liu; Jiewei Wu; et al. (CoRR, 2025)