Projects per year
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Chinese Name
褚晓文
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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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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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A traditional writing-based interactive online education platform
1/05/15 → 30/04/17
Project: Research project
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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 -
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
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A Quantitative Survey of Communication Optimizations in Distributed Deep Learning
Shi, S., Tang, Z., CHU, X., Liu, C., Wang, W. & Li, B., May 2021, In: IEEE Network. 35, 3, p. 230-237 8 p., 9275615.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
AutoML: A survey of the state-of-the-art
He, X., Zhao, K. & Chu, X., 5 Jan 2021, In: Knowledge-Based Systems. 212, 106622.Research output: Contribution to journal › Article › peer-review
23 Citations (Scopus) -
BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing
PENG, Z., Huang, J., Wang, H., Wang, S., CHU, X., ZHANG, X., CHEN, L., HUANG, X., Fu, X., GUO, Y-K. & XU, J., 6 Apr 2021, Database Systems for Advanced Applications: DASFAA 2021 International Workshops - BDQM, GDMA, MLDLDSA, MobiSocial and MUST, Taipei, Taiwan, April 11–14, 2021, Proceedings. Jensen, C. S., Lim, E-P., Yang, D-N., Lee, W-C., Tseng, V. S., Kalogeraki, V., Huang, J-W. & Shen, C-Y. (eds.). Springer, Cham, p. 381-397 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12680 LNCS).Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review
Open Access