Yihao Zhao｜赵怡浩

I am a fourth-year Ph.D. candidate in the Department of Computer Science at Peking University, co-advised by Prof. Xuanzhe Liu and Prof. Xin Jin. I received my bachelor degree from Turing Class of Peking University. I was a research intern in the Hyperplane Lab led by Prof. Hao Dong from July 2019 to Sept. 2020.

Email  /  CV  /  GitHub

Research

My research interest lies in ML-related large-scale scheduling and management, e.g., ML cluster scheduling and datacenter network management.

MuxFlow: Efficient GPU Sharing in Production-Level Clusters with More Than 10,000 GPUs
Xuanzhe Liu (Advisor), Yihao Zhao, Shufan Liu, Xiang Li, Yibo Zhu, Xin Liu, Xin Jin.
SCIS, 2024
to appear

GreenFlow: A Carbon Efficient Scheduler for Deep Learning Workloads
Diandian Gu, Yihao Zhao, Peng Sun, Xuanzhe Liu, Xin Jin.
TPDS, 2024
paper

Klotski: Efficient and Safe Network Migration of Large Production Datacenters
Yihao Zhao*, Xiaoxiang Zhang*, Hang Zhu, Ying Zhang, Zhaodong Wang, Yuandong Tian, Alex Nikulkov, Joao Ferreira, Xuanzhe Liu, Xin Jin.
SIGCOMM, 2023
paper

ElasticFlow: An Elastic Serverless Training Platform for Distributed Deep Learning
Diandian Gu*, Yihao Zhao*, Yinmin Zhong, Yifan Xiong, Zhenhua Han, Peng Cheng, Fan Yang, Gang Huang, Xin Jin, Xuanzhe Liu.
ASPLOS, 2023
paper / code

Multi-Resource Interleaving for Deep Learning Training
Yihao Zhao, Yuanqiang Liu, Yanghua Peng, Yibo Zhu, Xuanzhe Liu, Xin Jin.
SIGCOMM, 2022
paper / code

Unpaired Image-to-Image Translation using Adversarial Consistency Loss
Yihao Zhao, Ruihai Wu, Hao Dong.
ECCV, 2020
paper / code / bibtex

Experiences

Intern

  • Research Intern @ ByteDance, Beijing
    • Jan. 2021 - Oct. 2021, May 2022 - Oct. 2023
    • Mentor: Yanghua Peng, Xin Liu, Yibo Zhu

    Teaching Experience

  • TA, Distributed Maching Learning, PKU (Fall 2022, Fall 2023)
  • TA, Introduction to Computing (A), PKU (Fall 2021)
  • TA, Introduction to Computer Systems, PKU (Fall 2019)