BEng, MEng (Tsinghua); PhD (Toronto)
Department of Computer Science
The University of Hong Kong

Chuan Wu's Photo

I am a Professor in the Department of Computer Science at the University of Hong Kong. I am also serving as Assistant Dean cum Director of Research Student Center of the Faculty of Engineering. I received my Ph.D. degree from the Department of Electrical and Computer Engineering in the University of Toronto, Canada, and both my M.Engr. and B.Engr. degrees from the Department of Computer Science and Technology in Tsinghua University, China.

Research Interest

My current research interests span cloud computing, distributed machine learning systems, distributed learning algorithms, and intelligent technologies for elderly care. My research features performance modeling and algorithm design for various network systems using optimization and machine learning methods, as well as the design and implementation of various systems based on relevant methods. Please see my research projects and publications for more details.


Phone: (852) 2857 8459
Fax: (852) 2559 8447
Office: Room 427, Chow Yei Ching Building
Mailing address:
Department of Computer Science
The University of Hong Kong
Pokfulam Road
Hong Kong


**[May 6, 2022] I am looking for self-organized, well-motivated PhD students (for Fall 2022, Spring and Fall 2023), postdoc researchers and RAs (anytime) to work on a variety of topics in distributed machine learning algorithms and systems, IoT and AI technologies and systems for smart elderly care. Candidates with solid background and/or strong interest in mathematical modeling and analysis, and candidates with solid programming skills and/or strong interest in building systems are both very welcome. Please contact me by email with your CV (please include your GPA and rank).**

**[May 6, 2022] I am now especially looking for RAs to work on VR technologies for a project "A Virtual Classroom System for Young Learners". **

[Jan 15, 2022] Hanpeng, Yuchen and Chenyu's paper "A Generic Performance Diagnosis and Optimization Toolkit for Expediting Distributed DNN Training" has been accepted to MLSys 2022. Congratulations!

[December 4, 2021] Ziyue's two papers have been accepted to IEEE INFOCOM 2022. Congratulations!

[August, 2021] Xiaodong Yi has graduated with Ph.D. and joined Tencent in Shenzhen as an AI technology researcher. Congratulations!

[March 25, 2021] I received an Amazon Research Award for carrying out research on compilation optimization in distributed DNN training 😃

[December 5, 2020] Zhe's first paper "Near-Optimal Topology-adaptive Parameter Synchronization in Distributed DNN Training" has been accepted to IEEE INFOCOM 2021. Congratulations!

[November 16, 2020] Yixin Bao has graduated with Ph.D. and joined Facebook at Seattle, U.S., as a research scientist. Congratulations!

[October 28, 2020] Xiaodong, Shiwei and Ziyue's paper "Optimizing Distributed Training Deployment in Heterogeneous GPU Clusters" has been accepted to ACM CoNEXT 2020. Congratulations!

[August 28, 2020] Xiaodong and Ziyue's paper "Fast Training of Deep Learning Models over Multiple GPUs" has been accepted to ACM/IFIP Middleware 2020. Congratulations!

[August 9, 2020] Yangrui, Yanghua and Yixin's paper "Elastic Parameter Server Load Distribution in Deep Learning Clusters" has been accepted to ACM SOCC'20. Congratulations!

© 2007-2022 Chuan Wu. Last updated May 2022.