Trust in AutoML: exploring information needs for establishing trust in automated machine learning systems. - Jaimie Drozdal; Justin D. Weisz; Dakuo Wang; Gaurav Dass; Bingsheng Yao; Changruo Zhao; Michael J. Muller; Lin Ju; Hui Su (IUI, 2020)

A Study on the Determinants of Stock Returns, in Comparison of the Fama-French Models. - Yuxiao He; Duanwen Li; Yudi Wu; Zhaowei Lu; Lin Ju (IC4E, 2022)

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)

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)

M2-Encoder: Advancing Bilingual Image-Text Understanding by Large-scale Efficient Pretraining. - Qingpei Guo; Furong Xu; Hanxiao Zhang; Wang Ren; Ziping Ma 002; Lin Ju; Jian Wang 108; Jingdong Chen; Ming Yang 007 (CoRR, 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)

Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts. - Chunjing Gan; Dan Yang 004; Binbin Hu; Hanxiao Zhang; Siyuan Li; Ziqi Liu; Yue Shen; Lin Ju; Zhiqiang Zhang 012; Jinjie Gu; 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)

Every FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUs. - Ling Team; Binwei Zeng; Chao Huang; Chao Zhang; Changxin Tian; Cong Chen; Dingnan Jin; Feng Yu; Feng Zhu; Feng Yuan; Fakang Wang; Gangshan Wang; et al. (CoRR, 2025)