Jiamin Li - RankMe

12 papers A* 1A 1B 2Journal 6Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	StitchLLM: Serving LLMs, One Block at a Time. ACL (1) Bodun Hu, Shuozhe Li, Saurabh Agarwal, Myungjin Lee, Akshay Jajoo, Jiamin Li, Le Xu, Geon-Woo Kim, Donghyun Kim, Hong Xu, Amy Zhang, Aditya Akella
2024	B	`conf`	Arlo: Serving Transformer-based Language Models with Dynamic Input Lengths. ICPP Xin Tan, Jiamin Li, Yitao Yang, Jingzong Li, Hong Xu
2024	J	`jnl`	BlockLLM: Multi-tenant Finer-grained Serving for Large Language Models. CoRR Jiamin Li, Le Xu, Hong Xu, Aditya Akella
2023	—	`conf`	Accelerating Distributed MoE Training and Inference with Lina. USENIX ATC Jiamin Li, Yimin Jiang, Yibo Zhu, Cong Wang, Hong Xu
2023	A*	`conf`	Adaptive Gating in Mixture-of-Experts based Language Models. EMNLP Jiamin Li, Qiang Su, Yitao Yang, Yimin Jiang, Cong Wang, Hong Xu
2023	J	`jnl`	Adaptive Gating in Mixture-of-Experts based Language Models. CoRR Jiamin Li, Qiang Su, Yitao Yang, Yimin Jiang, Cong Wang, Hong Xu
2023	J	`jnl`	Bottleneck-Aware Non-Clairvoyant Coflow Scheduling With Fai. IEEE Trans. Cloud Comput. Libin Liu, Chengxi Gao, Peng Wang, Hongming Huang, Jiamin Li, Hong Xu, Wei Zhang
2023	A	`conf`	Lyra: Elastic Scheduling for Deep Learning Clusters. EuroSys Jiamin Li, Hong Xu, Yibo Zhu, Zherui Liu, Chuanxiong Guo, Cong Wang
2022	J	`jnl`	Aryl: An Elastic Cluster Scheduler for Deep Learning. CoRR Jiamin Li, Hong Xu, Yibo Zhu, Zherui Liu, Chuanxiong Guo, Cong Wang
2022	J	`jnl`	Lita: Accelerating Distributed Training of Sparsely Activated Models. CoRR Jiamin Li, Yimin Jiang, Yibo Zhu, Cong Wang, Hong Xu
2022	J	`jnl`	ScaleFlux: Efficient Stateful Scaling in NFV. IEEE Trans. Parallel Distributed Syst. Libin Liu, Hong Xu, Zhixiong Niu, Jingzong Li, Wei Zhang, Peng Wang, Jiamin Li, Chun Jason Xue, Cong Wang
2021	B	`conf`	Two-Dimensional Learning Rate Decay: Towards Accurate Federated Learning with Non-IID Data. IJCNN Kaiwei Mo, Chen Chen, Jiamin Li, Hong Xu, Chun Jason Xue