Projects per year
Personal profile
Chinese Name
褚晓文
Research Interests
GPU Computing, Parallel and Distributed Computing, Cloud Computing, and Wireless Networks
Biography
Dr. Chu received his B.Eng. degree in the Computer Science from Tsinghua University, Beijing, P. R. China, in 1999, and the Ph.D. degree in the Computer Science from the Hong Kong University of Science and Technology in 2003. He is a professor in the Department of Computer Science, Hong Kong Baptist University. He is serving as the Director of the High Performance Cluster Computing Centre of HKBU, the Director of Blockchain and Fintech Laboratory, and the Director of High Performance Machine Learning Laboratory. He is a senior member of IEEE and a member of ACM. He is a vice-chairman of the Blockchain Technical Committee of China Institute of Communications. He has been serving as the associate editor or guest editor of many international journals, including IEEE Transactions on Network Science and Engineering, IEEE Internet of Things Journal, IEEE Network, and IEEE Transactions on Industrial Informatics. He is a co-recipient of the Best Paper Award of IEEE INFOCOM 2021.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
PhD, Department of Computer Science and Engineering, The Hong Kong University of Science and Technology
1 Sep 1999 → 31 Jul 2003
Bachelor, Tsinghua University
1 Sep 1994 → 31 Jul 1999
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Dive into the research topics where Xiaowen CHU is active. Topic labels come from the works of this scholar.
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User-Controlled Secure Data Sharing and Analytics with Blockchain and Trusted Computing Technologies
XU, J., Cao, J., Chen, L., CHU, X., Hu, H., Wang, C., BIAN, Z. & Zhang, K.
1/05/22 → 30/04/25
Project: Research project
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Energy-efficient Training of Multiple Deep Learning Models on GPU Clusters
1/09/18 → 31/08/21
Project: Research project
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Big Data and Deep Learning Based Online Education Platform
1/05/17 → 30/04/19
Project: Research project
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EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs
Ying, G., He, X., Gao, B., Han, B. & Chu, X., 12 Jul 2022, (Accepted/In press) European Conference on Computer Vision, ECCV 2022. European Conference on Computer Vision, 16 p.Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review
Open Access -
Editorial: Advances in Mobile, Edge and Cloud Computing
CHU, X., Jiang, H., Li, B., Wang, D. & Wang, W., Feb 2022, In: Mobile Networks and Applications. 27, 1, p. 219–221 3 p.Research output: Contribution to journal › Editorial
Open Access -
Energy-Aware Non-Preemptive Task Scheduling With Deadline Constraint in DVFS-Enabled Heterogeneous Clusters
Wang, Q., Mei, X., Liu, H., Leung, Y. W., Li, Z. & Chu, X., 1 Dec 2022, In: IEEE Transactions on Parallel and Distributed Systems. 33, 12, p. 4083-4099 17 p.Research output: Contribution to journal › Article › peer-review
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Energy-efficient Online Scheduling of Transformer Inference Services on GPU Servers
Wang, Y., Wang, Q. & Chu, X., Sep 2022, In: IEEE Transactions on Green Communications and Networking. 6, 3, p. 1649-1659 11 p.Research output: Contribution to journal › Article › peer-review
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VFChain: Enabling Verifiable and Auditable Federated Learning via Blockchain Systems
Peng, Z., Xu, J., CHU, X., Gao, S., Yao, Y., Gu, R. & Tang, Y., 1 Jan 2022, In: IEEE Transactions on Network Science and Engineering. 9, 1, p. 173-186 14 p.Research output: Contribution to journal › Article › peer-review