Zhisheng YE

Zhisheng YE

CS Ph.D. student

EECS, Peking University


Hi, there! This is Zhisheng Ye, a third-year Ph.D. student in Computer Science. I received a B.S. degree in computer science and technology from School of Electronics Engineering and Computer Science, Peking University, China, in 2019. Currently I am working towards a Ph.D. degree in the Institute of Network Computing and Information Systems at Peking University. I am co-advised by Prof. Yingwei Luo and Prof. Xiaolin Wang.

My research interests include distributed systems, systems for machine learning and resource management, etc. I am also interested in high performance computing and GPU systems, as a former member of Peking University Cluster Competition Team.

Download my CV.

  • Distributed Systems
  • Systems for machine learning
  • Resource Management
  • Ph.D. Student in Computer Science, since 2019

    Peking University

  • BSc in Computer Science and Technology, 2019

    Peking University


Peng Cheng Laboratory
Research Intern
Jul 2018 – Present Shenzhen, China
  • Contributed to development of OpenI-Octopus, an open-sourced scheduler for deep learning training workloads based on Kubernetes.
  • Safe GPU sharing mechanisms on Kubernetes.
  • Monitoring and logging systems.
Sensetime Research
Research Intern
Sep 2019 – Present Beijing, China
  • Supercomputing cluster scheduling and optimization for deep learning training workloads.
  • Design and implementation of a fair scheduler for DLT jobs as first author. Currently under submission.
Peking University Cluster Competition Team
Team member
Sep 2018 – Jun 2019 Beijing, China
  • Participated in analyzing, compiling, profiling, optimizing, and improving parallelizability of general HPC tasks.
  • First Price (Team), ASC19 Student Supercomputer Challenge

Recent Publications

(2021). ASTRAEA: A Fair Deep Learning Scheduler for Multi-tenant GPU Clusters. In TPDS.

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