In British Columbia, Canada.
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About Me:
I am a final year Master of Philosophy student in Computer Science and Engineering at the Hong Kong University of Science and Technology, under the supervision of Professor Xiaofang Zhou, affiliated to the Jockey Club Lab of Data Science Foundation.
Prior to that, I got my Honour's Bachelor of Science from the University of Toronto in Canada on June 2023. In Toronto, I worked as a research intern at the embARC Research Group, under the supervision of Professor Nandita Vijaykumar. Also, I worked as a research student in the Department of Chemical Engineering at the University of Toronto on topic related to Bioinformatics.
Research Interest:
My current research interest is in Vector Database.
Education:
Hong Kong University of Science and Technology, Hong Kong SAR 2023.09 - 2025.12
Master of Philosophy in Computer Science and Engineering
Supervisor: Professor Xiaofang Zhou
University of Toronto, Toronto, Canada 2020.09 - 2023.06
Honours Bachelor of Science
Major: Computer Science, Mathematics
Supervisor of Research Intern: Professor Nandita Vijaykumar
University of Alberta, Edmonton, Canada 2019.09 - 2020.08
Stwitched to Toronto for my undergrad studies.
Major: Mathematics, Economics
Publications:
Cardinality Estimation for High Dimensional Similarity Queries with Adaptive Bucket Probing
Zhonghan Chen, Qintian Guo, Ruiyuan Zhang, Xiaofang Zhou
Submitted to VLDB2026
Exploring the Meaningfulness of Nearest Neighbor Search in High-Dimensional Space Best Student Paper Award Runner-up
Zhonghan Chen, Ruiyuan Zhang, Xi Zhao, Xiaojun Cheng, Xiaofang Zhou
IEEE Australasian Database Conference (ADC2024), Gold Coast, Australia
Efficient Approximate Maximum Inner Product Search over Sparse Vectors
Xi Zhao, Zhonghan Chen, Kai Huang, Ruiyuan Zhang, Xiaofang Zhou
IEEE 40th International Conference on Data Engineering (ICDE 24), Utrecht, Netherlands
MARIA: Towards Effciecnt Approximate Maximum Inner Product Search on Large-Scale Vector Databases
Xi Zhao, Yao Tian, Kai Huang, Zhonghan Chen, Ruiyuan Zhang, Xiaofang Zhou
Under Review
ACE: Efficient GPU Kernel Concurrency for Input-Dependent Irregular Computational Graphs
ACE: Efficient GPU Kernel Concurrency for Input-Dependent Irregular Computational Graphs
Sankeerth Durvasula*, Adrian Zhao*, Raymond Kiguru, Yushi Guan, Zhonghan Chen, Nandita Vijaykumar
ACM International Conference on Parallel Architectures and Compilation Techniques (PACT24), Long Beach, California, United States
Teaching Assignment:
COMP3511 Operating System
Fall 2024, with Prof Bo Li at HKUST
COMP4651 Cloud Computing and Big Data
Spring 2023, with Prof Wei Wang at HKUST
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