she/her/hers
Ph.D. in Computer Science
Email: jiaminli.icy [at] gmail.com
I am a senior researcher at Microsoft Research based in Vancouver, working on AI infrastructure. I obtained Ph.D. and B.S. in Computer Science from City University of Hong Kong. In 2023, I was a visiting researcher at The University of Texas at Austin.
My current research interest lies in simulation of AI workloads and underlying hardware architecture.
My research interest of my Ph.D. study is Systems for Machine Learning, with a specific focus on the following topics:
[C4] Xin Tan, Jiamin Li, Yitao Yang, Jingzong Li, HongXu "Arlo: Serving Transformer-based Language Models with Dynamic Input Lengths", ACM International Conference on Parallel Processing (ICPP), 2024
[C4] Jiamin Li, Qiang Su, Yitao Yang, Yimin Jiang, Cong Wang, Hong Xu "Adaptive Gating in Mixture-of-Experts based Language Models", Empirical Methods in Natural Language Processing (EMNLP), 2023. [Paper][Slides]
[C3] Jiamin Li, Yimin Jiang, Yibo Zhu, Cong Wang, Hong Xu, "Accelerating Distributed MoE Training and Inference with Lina", USENIX Annual Technical Conference (ATC), 2023. [Paper][Slides][Poster]
[C2] Jiamin Li, Hong Xu, Yibo Zhu, Zherui Liu, Chuanxiong Guo, Cong Wang, "Lyra: Elastic Scheduling for Deep Learning Clusters", ACM European Conference on Computer Systems (EuroSys), 2023. [Paper][Slides][Poster]
[C1] Kaiwei Mo, Chen Chen, Jiamin Li, Hong Xu, Chun Jason Xue, "Two-Dimensional Learning Rate Decay: Towards Accurate Federated Learning with Non-IID Data", IEEE International Joint Conference on Neural Networks (IJCNN), 2021.
[J2] Libin Liu, Hong Xu, Zhixiong Niu, Jingzong Li, Wei Zhang, Peng Wang, Jiamin Li, Jason Xue Chun, Cong Wang, "ScaleFlux: Efficient Stateful Scaling in NFV", IEEE Transactions on Parallel and Distributed Systems (TPDS), 2022.
[J1] Libin Liu, Chengxi Gao, Peng Wang, Hongming Huang, Jiamin Li, Hong Xu, Wei Zhang, "Bottleneck-Aware Non-Clairvoyant Coflow Scheduling with Fai", IEEE Transactions on Cloud Computing (TCC), 2021.
Visiting Researcher @ UTNS, The University of Texas at Austin
Supervised by Prof. Aditya Akella.
Apr 2023 - Dec 2023, Austin, TX, United States
Research Intern @ MLSys Team of AI Lab, ByteDance
Supervised by Dr. Yibo Zhu.
May 2019 - May 2021, Beijing & Shenzhen, China
Part-time Research Assistant @ NetX, City University of Hong Kong
Supervised by Prof. Hong Xu.
June 2018 - May 2019, Kowloon Tong, Hong Kong
Software Developer @ Group Human Resources, Jardine Matheson
May 2017 - May 2018, Central & Quarry Bay, Hong Kong