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2020 – today
- 2024
[c4]Youshao Xiao, Lin Ju, Zhenglei Zhou, Siyuan Li, Zhaoxin Huan, Dalong Zhang, Rujie Jiang, Lin Wang, Xiaolu Zhang, Lei Liang, Jun Zhou:
AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes. ICDE 2024: 5238-5251- [i8]Youshao Xiao, Shangchun Zhao, Zhenglei Zhou, Zhaoxin Huan, Lin Ju, Xiaolu Zhang, Lin Wang, Jun Zhou:
G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems. CoRR abs/2401.04338 (2024) - [i7]Qingpei Guo, Furong Xu, Hanxiao Zhang, Wang Ren, Ziping Ma, Lin Ju, Jian Wang, Jingdong Chen, Ming Yang:
M2-Encoder: Advancing Bilingual Image-Text Understanding by Large-scale Efficient Pretraining. CoRR abs/2401.15896 (2024) - [i6]Youshao Xiao, Lin Ju, Zhenglei Zhou, Siyuan Li, Zhaoxin Huan, Dalong Zhang, Rujie Jiang, Lin Wang, Xiaolu Zhang, Lei Liang, Jun Zhou:
AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes. CoRR abs/2404.09679 (2024) - [i5]Siyuan Li, Youshao Xiao, Fanzhuang Meng, Lin Ju, Lei Liang, Lin Wang, Jun Zhou:
AntBatchInfer: Elastic Batch Inference in the Kubernetes Cluster. CoRR abs/2404.09686 (2024) - [i4]Chunjing Gan, Dan Yang, Binbin Hu, Hanxiao Zhang, Siyuan Li, Ziqi Liu, Yue Shen, Lin Ju, Zhiqiang Zhang, Jinjie Gu, Lei Liang, Jun Zhou:
Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts. CoRR abs/2405.19893 (2024) - 2023
- [c3]Youshao Xiao
, Shangchun Zhao, Zhenglei Zhou, Zhaoxin Huan, Lin Ju, Xiaolu Zhang, Lin Wang, Jun Zhou:
G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems. CIKM 2023: 4365-4369 - [i3]Chan Wu, Hanxiao Zhang, Lin Ju, Jinjing Huang, Youshao Xiao, Zhaoxin Huan, Siyuan Li, Fanzhuang Meng, Lei Liang, Xiaolu Zhang, Jun Zhou:
Rethinking Memory and Communication Cost for Efficient Large Language Model Training. CoRR abs/2310.06003 (2023) - [i2]Youshao Xiao, Weichang Wu, Zhenglei Zhou, Fagui Mao, Shangchun Zhao, Lin Ju, Lei Liang, Xiaolu Zhang, Jun Zhou:
An Adaptive Placement and Parallelism Framework for Accelerating RLHF Training. CoRR abs/2312.11819 (2023) - 2022
- [c2]Yuxiao He, Duanwen Li, Yudi Wu, Zhaowei Lu, Lin Ju:
A Study on the Determinants of Stock Returns, in Comparison of the Fama-French Models. IC4E 2022: 493-499 - 2020
- [c1]Jaimie Drozdal, Justin D. Weisz, Dakuo Wang, Gaurav Dass, Bingsheng Yao, Changruo Zhao, Michael J. Muller, Lin Ju, Hui Su:
Trust in AutoML: exploring information needs for establishing trust in automated machine learning systems. IUI 2020: 297-307 - [i1]Jaimie Drozdal, Justin D. Weisz, Dakuo Wang, Gaurav Dass, Bingsheng Yao, Changruo Zhao, Michael J. Muller, Lin Ju, Hui Su:
Trust in AutoML: Exploring Information Needs for Establishing Trust in Automated Machine Learning Systems. CoRR abs/2001.06509 (2020)
Coauthor Index
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