Shaohuai Shi
Scholar

Shaohuai Shi

Google Scholar ID: Wr4B6fQAAAAJ
Professor, Harbin Institute of Technology, Shenzhen
Machine Learning SystemsParallel and Distributed ComputingGPU ComputingDeep Learning
Citations & Impact
All-time
Citations
3,370
 
H-index
30
 
i10-index
44
 
Publications
20
 
Co-authors
17
list available
Resume (English only)
Academic Achievements
  • - July 22, 2025: Paper “Mast: Efficient Training of Mixture-of-Experts Transformers with Task Pipelining and Ordering” received the Distinguished Paper Award at IEEE ICDCS 2025
  • - June 30, 2025: Honored with the Huawei Best Technology Collaboration Award
  • - April 30, 2025: Two papers (ScheInfer and SQ-DeAR) accepted by Euro-Par 2025
  • - March 27, 2025: Two papers accepted by ICDCS 2025
  • - December 6, 2024: Paper “SP-MoE: Expediting Mixture-of-Experts Training with Optimized Pipelining Planning” accepted by INFOCOM 2025
  • - October 3, 2024: Paper “FSMoE: A Flexible and Scalable Training System for Sparse Mixture-of-Experts Models” accepted by ASPLOS 2025
  • - September 21, 2024: Awarded as one of Outstanding Contributors to Ascend Research Innovation
  • - September 16, 2024: Ranked as 2024 World’s Top 2% Scientists by Stanford University
  • - June 11, 2024: Two papers accepted by ICPP 2024
  • - April 15, 2024: Paper “Scheduling Deep Learning Jobs in Multi-Tenant GPU Clusters via Wise Resource Sharing” accepted by IEEE/ACM IWQoS 2024
  • - January 16, 2024: Paper “FedImpro: Measuring and Improving Client Update in Federated Learning” accepted by ICLR 2024
  • - January 10, 2024: Paper “ScheMoE: An Extensible Mixture-of-Experts Distributed Training System with Tasks Scheduling” accepted by EuroSys 2024
Research Experience
  • - October 2023 - Present: Professor, HITSZ
  • - September 2022 - September 2023: Assistant Professor, HITSZ
  • - September 2020 - August 2022: Research Assistant Professor, HKUST
  • - April 2019 - May 2020: Deep Learning Intern, NVIDIA
  • - February 2014 - March 2016: Senior Research Assistant, Hong Kong Baptist University
  • - February 2013 - February 2014: Research Assistant, Hong Kong Baptist University
Education
  • - Ph.D. in Computer Science, Hong Kong Baptist University, 2020
  • - M.Sc. in Computer Science, Harbin Institute of Technology, Shenzhen, 2013
  • - B.Eng. in Software Engineering, South China University of Technology, 2010
Background
  • Currently a Professor at the School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen. Research interests include distributed machine learning systems, GPU computing, parallel and distributed systems, and deep learning.