Lin Ju

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Machine Learning Systems

Text Understanding

Top Venues

Publications

Qingpei Guo, Furong Xu, Hanxiao Zhang, Wang Ren, Ziping Ma, Lin Ju, Jian Wang, Jingdong Chen, Ming Yang
-Encoder: Advancing Bilingual Image-Text Understanding by Large-scale Efficient Pretraining. CoRR (2024)
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 (2024)
Siyuan Li, Youshao Xiao, Fanzhuang Meng, Lin Ju, Lei Liang, Lin Wang, Jun Zhou
AntBatchInfer: Elastic Batch Inference in the Kubernetes Cluster. CoRR (2024)
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 (2024)
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 (2024)
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)
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)
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 (2023)
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 (2023)
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)
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)
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 (2020)