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 co-design of AI workloads and underlying hardware.
My research interest of my Ph.D. study is Systems for Machine Learning (Efficient Scheduling of Distributed Deep Neural Network Workloads).
[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