Jiamin Li

According to our database, Jiamin Li authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

BlockLLM: Multi-tenant Finer-grained Serving for Large Language Models.

Jiamin Li, Le Xu, Hong Xu, Aditya Akella

CoRR, 2024

Arlo: Serving Transformer-based Language Models with Dynamic Input Lengths.

Xin Tan, Jiamin Li, Yitao Yang, Jingzong Li, Hong Xu

Proceedings of the 53rd International Conference on Parallel Processing, 2024

2023

Bottleneck-Aware Non-Clairvoyant Coflow Scheduling With Fai.

Libin Liu, Chengxi Gao, Peng Wang, Hongming Huang, Jiamin Li, Hong Xu, Wei Zhang

IEEE Trans. Cloud Comput., 2023

Accelerating Distributed MoE Training and Inference with Lina.

Jiamin Li, Yimin Jiang, Yibo Zhu, Cong Wang, Hong Xu

Proceedings of the 2023 USENIX Annual Technical Conference, 2023

Lyra: Elastic Scheduling for Deep Learning Clusters.

Jiamin Li, Hong Xu, Yibo Zhu, Zherui Liu, Chuanxiong Guo, Cong Wang

Proceedings of the Eighteenth European Conference on Computer Systems, 2023

Adaptive Gating in Mixture-of-Experts based Language Models.

Jiamin Li, Qiang Su, Yitao Yang, Yimin Jiang, Cong Wang, Hong Xu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

ScaleFlux: Efficient Stateful Scaling in NFV.

Libin Liu, Hong Xu, Zhixiong Niu, Jingzong Li, Wei Zhang, Peng Wang, Jiamin Li, Chun Jason Xue, Cong Wang

IEEE Trans. Parallel Distributed Syst., 2022

Lita: Accelerating Distributed Training of Sparsely Activated Models.

Jiamin Li, Yimin Jiang, Yibo Zhu, Cong Wang, Hong Xu

CoRR, 2022

Aryl: An Elastic Cluster Scheduler for Deep Learning.

Jiamin Li, Hong Xu, Yibo Zhu, Zherui Liu, Chuanxiong Guo, Cong Wang

CoRR, 2022

2021

Two-Dimensional Learning Rate Decay: Towards Accurate Federated Learning with Non-IID Data.

Kaiwei Mo, Chen Chen, Jiamin Li, Hong Xu, Chun Jason Xue

Proceedings of the International Joint Conference on Neural Networks, 2021