Jian Sha - RankMe

11 papers A* 2A 1Journal 8

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	EDiT: A Local-SGD-Based Efficient Distributed Training Method for Large Language Models. ICLR Jialiang Cheng, Ning Gao, Yun Yue, Zhiling Ye, Jiadi Jiang, Jian Sha
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`	MEPipe: Democratizing LLM Training with Memory-Efficient Slice-Level Pipeline Scheduling on Cost-Effective Accelerators. EuroSys Zhenbo Sun, Shengqi Chen, Yuanwei Wang, Jian Sha, Guanyu Feng, Wenguang Chen
2025	J	`jnl`	XPUTimer: Anomaly Diagnostics for Divergent LLM Training in GPU Clusters of Thousand-Plus Scale. CoRR Weihao Cui, Ji Zhang, Han Zhao, Chao Liu, Wenhao Zhang, Jian Sha, Quan Chen, Bingsheng He, Minyi Guo
2025	J	`jnl`	mLoRA: Fine-Tuning LoRA Adapters via Highly-Efficient Pipeline Parallelism in Multiple GPUs. Proc. VLDB Endow. Zhengmao Ye, Dengchun Li, Zetao Hu, Tingfeng Lan, Jian Sha, Shicong Zhang, Lei Duan, Jie Zuo, Hui Lu, Yuanchun Zhou, Mingjie Tang
2024	A*	`conf`	Couler: Unified Machine Learning Workflow Optimization in Cloud. ICDE Xiaoda Wang, Yuan Tang, Tengda Guo, Bo Sang, Jiewei Wu, Jian Sha, Ke Zhang, Jiang Qian, Mingjie Tang
2024	J	`jnl`	Couler: Unified Machine Learning Workflow Optimization in Cloud. CoRR Xiaoda Wang, Yuan Tang, Tengda Guo, Bo Sang, Jingji Wu, Jian Sha, Ke Zhang, Jiang Qian, Mingjie Tang
2024	J	`jnl`	DLRover-RM: Resource Optimization for Deep Recommendation Models Training in the cloud. Proc. VLDB Endow. Qinlong Wang, Tingfeng Lan, Yinghao Tang, Bo Sang, Ziling Huang, Yiheng Du, Haitao Zhang, Jian Sha, Hui Lu, Yuanchun Zhou, Ke Zhang, Mingjie Tang
2024	J	`jnl`	EDiT: A Local-SGD-Based Efficient Distributed Training Method for Large Language Models. CoRR Jialiang Cheng, Ning Gao, Yun Yue, Zhiling Ye, Jiadi Jiang, Jian Sha
2024	J	`jnl`	Enhancing hydrological extremes prediction accuracy: Integrating diverse loss functions in Transformer models. Environ. Model. Softw. Xue Li, Qi-Liang Sun, Yanfei Zhang, Jian Sha, Man Zhang
2023	J	`jnl`	ASPEN: High-Throughput LoRA Fine-Tuning of Large Language Models with a Single GPU. CoRR Zhengmao Ye, Dengchun Li, Jingqi Tian, Tingfeng Lan, Jie Zuo, Lei Duan, Hui Lu, Yexi Jiang, Jian Sha, Ke Zhang, Mingjie Tang