Jinlai Xu (徐锦来)

Jinlai Xu (徐锦来)


Infrastructure System Lab, ByteDance Inc., US

Jinlai Xu is a Researcher/Engineer at Infrastructure System Lab of ByteDance US. He is currently working on cutting-edge technologies which will evolve the infrastructure to a new generation, including but not limited to Next Generation ML/Big Data infra, Graph Learning/Computing, Cloud Native & Serverless Infra and Hyper-Scale Heterogeneous Cluster Management.

He got his PhD from University of Pittsburgh in 2021. His research interests include Big Model Training/Inference/Finetune Framework, Serverless Computing, Distributed Systems, Fog/Edge and Cloud Computing, Stream Processing Optimization and Blockchain-based Techniques. His PhD advisor is Balaji Palanisamy. He got his bachelor and master from China University of Geosciences and his undergraduate and graduate advisor is Zhongwen Luo.

Full Curriculum Vitae

  • Big Model
  • Serverless Computing
  • Fog/Edge Computing
  • Cloud Computing
  • Distributed Systems
  • Stream Processing Optimization
  • Reinforcement Learning
  • Blockchain
  • PhD in Infomation Science, 2021

    University of Pittsburgh

  • M.Phil in Software Engineering, 2015

    China University of Geosciences

  • BEng in Software Engineering, 2012

    China University of Geosciences