Ke Zhang - RankMe

11 papers A* 3Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
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	—	`conf`	GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching. ASPLOS (2) Cong Guo, Rui Zhang, Jiale Xu, Jingwen Leng, Zihan Liu, Ziyu Huang, Minyi Guo, Hao Wu, Shouren Zhao, Junping Zhao, Ke Zhang
2024	J	`jnl`	GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching. CoRR Cong Guo, Rui Zhang, Jiale Xu, Jingwen Leng, Zihan Liu, Ziyu Huang, Minyi Guo, Hao Wu, Shouren Zhao, Junping Zhao, Ke Zhang
2024	J	`jnl`	vTensor: Flexible Virtual Tensor Management for Efficient LLM Serving. CoRR Jiale Xu, Rui Zhang, Cong Guo, Weiming Hu, Zihan Liu, Feiyang Wu, Yu Feng, Shixuan Sun, Changxu Shao, Yuhong Guo, Junping Zhao, Ke Zhang, Minyi Guo, Jingwen Leng
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
2023	A*	`conf`	Cougar: A General Framework for Jobs Optimization In Cloud. ICDE Bo Sang, Shuwei Gu, Xiaojun Zhan, Mingjie Tang, Jian Liu, Xuan Chen, Jie Tan, Haoyuan Ge, Ke Zhang, Ruoyi Ruan, Wei Yan
2023	J	`jnl`	DLRover: An Elastic Deep Training Extension with Auto Job Resource Recommendation. CoRR Qinlong Wang, Bo Sang, Haitao Zhang, Mingjie Tang, Ke Zhang
2023	A*	`conf`	Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term. KDD Yun Yue, Jiadi Jiang, Zhiling Ye, Ning Gao, Yongchao Liu, Ke Zhang
2023	J	`jnl`	Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term. CoRR Yun Yue, Jiadi Jiang, Zhiling Ye, Ning Gao, Yongchao Liu, Ke Zhang