Lin Ju

16 papers A* 2A 3Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Ref-Adv: Exploring MLLM Visual Reasoning in Referring Expression Tasks.
CoRR
Qihua Dong, Kuo Yang, Lin Ju, Handong Zhao, Yitian Zhang, Yizhou Wang, Huimin Zeng, Jianglin Lu, Yun Fu
2025 J jnl
Every FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUs.
CoRR
Ling Team, Binwei Zeng, Chao Huang, Chao Zhang, Changxin Tian, Cong Chen, Dingnan Jin, Feng Yu, Feng Zhu, Feng Yuan, Fakang Wang, Gangshan Wang, Guangyao Zhai, Haitao Zhang, Huizhong Li, Jun Zhou, Jia Liu, Junpeng Fang, Junjie Ou, Jun Hu, Ji Luo, Ji Zhang, Jian Liu, Jian Sha, Jianxue Qian, Jiewei Wu, Junping Zhao, Jianguo Li, Jubao Feng, Jingchao Di, Junming Xu, Jinghua Yao, Kuan Xu, Kewei Du, Longfei Li, Lei Liang, Lu Yu, Li Tang, Lin Ju, Peng Xu, Qing Cui, Song Liu, Shicheng Li, Shun Song, Song Yan, Tengwei Cai, Tianyi Chen, Ting Guo, Ting Huang, Tao Feng, Tao Wu, Wei Wu, Xiaolu Zhang, Xueming Yang, Xin Zhao, Xiaobo Hu, Xin Lin, Yao Zhao, Yilong Wang, Yongzhen Guo, Yuanyuan Wang, Yue Yang, Yang Cao, Yuhao Fu, Yi Xiong, Yanzhe Li, Zhe Li, Zhiqiang Zhang, Ziqi Liu, Zhaoxin Huan, Zujie Wen, Zhenhang Sun, Zhuoxuan Du, Zhengyu He
2025 A conf
FlexRLHF: A Flexible Placement and Parallelism Framework for Efficient RLHF Training.
IPDPS
Youshao Xiao, Zhenglei Zhou, Fagui Mao, Weichang Wu, Shangchun Zhao, Lin Ju, Lei Liang, Xiaolu Zhang, Jun Zhou
2024 J jnl
AntBatchInfer: Elastic Batch Inference in the Kubernetes Cluster.
CoRR
Siyuan Li, Youshao Xiao, Fanzhuang Meng, Lin Ju, Lei Liang, Lin Wang, Jun Zhou
2024 A* conf
AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes.
ICDE
Youshao Xiao, Lin Ju, Zhenglei Zhou, Siyuan Li, Zhaoxin Huan, Dalong Zhang, Rujie Jiang, Lin Wang, Xiaolu Zhang, Lei Liang, Jun Zhou
2024 J jnl
AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes.
CoRR
Youshao Xiao, Lin Ju, Zhenglei Zhou, Siyuan Li, Zhaoxin Huan, Dalong Zhang, Rujie Jiang, Lin Wang, Xiaolu Zhang, Lei Liang, Jun Zhou
2024 J jnl
G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems.
CoRR
Youshao Xiao, Shangchun Zhao, Zhenglei Zhou, Zhaoxin Huan, Lin Ju, Xiaolu Zhang, Lin Wang, Jun Zhou
2024 J jnl
M
CoRR
Qingpei Guo, Furong Xu, Hanxiao Zhang, Wang Ren, Ziping Ma, Lin Ju, Jian Wang, Jingdong Chen, Ming Yang
2024 A* conf
Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models.
NeurIPS
Hanxiao Zhang, Lin Ju, Chan Wu, Jinjing Huang, Youshao Xiao, Zhenglei Zhou, Zhiming Fan, Zhaoxin Huan, Siyuan Li, Fanzhuang Meng, Lei Liang, Xiaolu Zhang, Jun Zhou
2024 J jnl
Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts.
CoRR
Chunjing Gan, Dan Yang, Binbin Hu, Hanxiao Zhang, Siyuan Li, Ziqi Liu, Yue Shen, Lin Ju, Zhiqiang Zhang, Jinjie Gu, Lei Liang, Jun Zhou
2023 J jnl
An Adaptive Placement and Parallelism Framework for Accelerating RLHF Training.
CoRR
Youshao Xiao, Weichang Wu, Zhenglei Zhou, Fagui Mao, Shangchun Zhao, Lin Ju, Lei Liang, Xiaolu Zhang, Jun Zhou
2023 A conf
G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems.
CIKM
Youshao Xiao, Shangchun Zhao, Zhenglei Zhou, Zhaoxin Huan, Lin Ju, Xiaolu Zhang, Lin Wang, Jun Zhou
2023 J jnl
Rethinking Memory and Communication Cost for Efficient Large Language Model Training.
CoRR
Chan Wu, Hanxiao Zhang, Lin Ju, Jinjing Huang, Youshao Xiao, Zhaoxin Huan, Siyuan Li, Fanzhuang Meng, Lei Liang, Xiaolu Zhang, Jun Zhou
2022 — conf
A Study on the Determinants of Stock Returns, in Comparison of the Fama-French Models.
IC4E
Yuxiao He, Duanwen Li, Yudi Wu, Zhaowei Lu, Lin Ju
2020 J jnl
Trust in AutoML: Exploring Information Needs for Establishing Trust in Automated Machine Learning Systems.
CoRR
Jaimie Drozdal, Justin D. Weisz, Dakuo Wang, Gaurav Dass, Bingsheng Yao, Changruo Zhao, Michael J. Muller, Lin Ju, Hui Su
2020 A conf
Trust in AutoML: exploring information needs for establishing trust in automated machine learning systems.
IUI
Jaimie Drozdal, Justin D. Weisz, Dakuo Wang, Gaurav Dass, Bingsheng Yao, Changruo Zhao, Michael J. Muller, Lin Ju, Hui Su