I am a second-year Ph.D. candidate in the Department of Computer Science and Engineering, the Chinese University of Hong Kong. It is my great honor to be under the supervision of Prof.Yufei Tao.
I am interested in algorithms related to join and big data with nontrivial guarantees. Also, I am extending my knowledge of theoretical machine learning.
2022One paper accepted to ICDT'23.
2022One paper accepted to ICML'22.
2021Received the best TA award of the CSE department, CUHK.
Present -Aug. 2020Ph.D. student in Computer Science
Aug. 2018the Chinese University of Hong Kong,
Supervisor:
Prof.Yufei Tao
Anticipated Graduation: May. 2024
May 2020 -Aug. 2016B.S. in Computer Science
Aug. 2016the Chinese University of Hong Kong,
Major GPA: 3.89/4.00
**Space-Query Tradeoffs in Range Subgraph Counting and Listing.
Joint work with Shangqi Lu and Yufei Tao.
ICDT, 2023.
Cross-Space Active Learning on Graph Convolutional Networks.
Yufei Tao, Hao Wu, and Shiyuan Deng
ICML, 2022.
High Performance Distributed OLAP on Property Graphs with Grasper.
Hongzhi Chen, Bowen Wu, Shiyuan Deng, Chenghuan Huang, Changji Li, Yichao Li, and James Cheng.
SIGMOD DEMO'20.
Project
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Pyramid: A General Framework for Distributed Similarity Search on Large-scale Datasets
Shiyuan Deng*, Xiao Yan*, K.W. Ng Kelvin, Chenyu Jiang, and James Cheng
IEEE Big Data, 2019.
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* Authors contributed equally