ZHAO Xi (赵希)

Research Postgraduate (Started in Sep. 2022, Awarded by HKPFS)

Computer Science and Engineering

Hong Kong University of Science and Technology

I am a research postgraduate (PhD. Candidate) of DSF Group, Computer Science and Engineering at Hong Kong University of Science and Technology (HKUST), under the supervision of Prof. Xiaofang Zhou. Prior to studying at HKUST, I received my M.Eng from the school of Computer Science and Technology, Huazhong University of Science and Technology (HUST), under the supervision of Prof. Bolong Zheng.

My research lies in the area of high-dimensional search in vector database and I focus on the query processing in high-dimensional vector spaces, aiming at designing high-performance indexes to manage large-scale high-dimensional datasets. Specifically, I work on studying locality-sensitive hashing (LSH) and proximity graph for approximate nearest neighbor search (ANNS) and maximum inner product search (MIPS) in high-dimensional Euclidean spaces.

Welcome to contact me if you are interested in my works.

Education

PhD in Engineering, Computer Science and Engineering (Awarded by HKPFS)

Hong Kong University of Science and Technology, Hong Kong SAR, China (Sept. 2022-)

Research Assistant, Computer Science and Engineering

Hong Kong University of Science and Technology, Hong Kong SAR, China (Sept. 2021- Sept. 2022)

Master of Engineering, Computer Software and Theory

Huazhong University of Science and Technology, Wuhan, China (Sept. 2018 - Jun. 2021)

Overall GPA: 89.8/100 (3.94/4.00, ranking 1/37)

Bachelor of Engineering, Optoelectronic Information Science and Engineering (Undergraduate Experimental Program)

Huazhong University of Science and Technology, Wuhan, China (Sept. 2014 - Jun. 2018)

Overall GPA: 88.4/100 (3.84/4.00)

Publications

Xi Zhao, Zhonghan Chen, Kai Huang, Ruiyuan Zhang, Bolong Zheng, Xiaofang Zhou: Efficient Approximate Maximum Inner Product Search over Sparse Vectors. ICDE 2024 [PDF] [Code]
Kai Huang, Yunqi Li, Qingqing Ye, Yao Tian, Xi Zhao, Yue Cui, Haibo Hu, Xiaofang Zhou: FRESH: Towards Efficient Graph Queries in an Outsourced Graph. ICDE 2024
Jing Zhao, Lei Li, Mengxuan Zhang, Zihan Luo, Xi Zhao, Xiaofang Zhou: A Just-In-Time Framework for Continuous Routing. ICDE 2024
Yao Tian, Ziyang Yue, Ruiyuan Zhang, Xi Zhao, Bolong Zheng, Xiaofang Zhou: Approximate Nearest Neighbor Search in High Dimensional Vector Databases: Current Research and Future Directions. TCDE 2024 (The authors are listed in alphabetical order)[PDF]
Kai Huang, Yue Cui, Qingqing Ye, Yan Zhao, Xi Zhao, Yao Tian, Kai Zheng, Haibo Hu, Xiaofang Zhou: TED+: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database. TKDE 2023
Yao Tian, Xi Zhao, Xiaofang Zhou: DB-LSH 2.0: Locality-Sensitive Hashing With Query-Based Dynamic Bucketing. TKDE 2023
Xi Zhao, Yao Tian, Kai Huang, Bolong Zheng, Xiaofang Zhou: Towards Efficient Index Construction and Approximate Nearest Neighbor Search in High-Dimensional Spaces. PVLDB 2023 [ PDF ] [ Code ]
Xi Zhao, Bolong Zheng, Xiaomeng Yi, Xiaofan Luan, Charles Xie, Xiaofang Zhou, Christian S. Jensen: FARGO: Fast Maximum Inner Product Search via Global Multi-Probing. PVLDB 2023 [PDF] [Code]
Kai Huang, Qingqing Ye, Jing Zhao, Xi Zhao, Haibo Hu, Xiaofang Zhou: VINCENT: Towards Efficient Exploratory Subgraph Search in Graph Databases. PVLDB 2022 (Demo)
Yao Tian, Tingyun Yan, Xi Zhao, Kai Huang, Xiaofang Zhou: A Learned Index for Exact Similarity Search in Metric Spaces. TKDE 2022
Yao Tian, Xi Zhao, Xiaofang Zhou: DB-LSH: Locality-Sensitive Hashing with Query-based Dynamic Bucketing. ICDE 2022 [PDF] [Code]
Bolong Zheng, Xi Zhao, Lianggui Weng, Nguyen Quoc Viet Hung, Hang Liu, Christian S. Jensen: PM-LSH: a fast and accurate in-memory framework for high-dimensional approximate NN and closest pair search. The VLDB Journal 2021
Bolong Zheng, Lianggui Weng, Xi Zhao, Kai Zeng, Xiaofang Zhou, Christian S. Jensen: REPOSE: Distributed Top-k Trajectory Similarity Search with Local Reference Point Tries. ICDE 2021
Zhong Yang, Bolong Zheng, Guohui Li, Xi Zhao, Xiaofang Zhou, Christian S. Jensen: Adaptive Top-k Overlap Set Similarity Joins. ICDE 2020
Bolong Zheng, Xi Zhao, Lianggui Weng, Nguyen Quoc Viet Hung, Hang Liu, Christian S. Jensen: PM-LSH: A Fast and Accurate LSH Framework for High-Dimensional Approximate NN Search. PVLDB 2020 (one of the best PVLDB 2020 papers) [PDF] [Code]

Awards

Hong Kong PhD Fellowship, HKUST, 2022
HKUST RedBird PhD Scholarship, HKUST, 2022
Outstanding Graduates, HUST, 2021
One of the best PVLDB 2020 papers, HUST, 2020
National Scholarship for Graduates, HUST, 2020
Outstanding Undergraduates, HUST, 2018
National Encouragement Scholarship, HUST, 2017
The 1st Prize in Mathematics Competition of Chinese College Students, HUST, 2016