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.
- 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