Jiadong XIE

I am currently a Ph.D. Candidate at the Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong (CUHK), supervised by Prof. Jeffrey Xu YU and Prof. Hong CHENG. Previously, I received my B.Eng. degree from East China Normal University in 2022, where I did my undergraduate thesis under the supervision of Prof. Xuemin Lin.

My research interests lie in big data management and analytics, with a particular focus on vector data and graphs.

Publications

^★ indicates corresponding author. ^§ indicates equal contribution.

Conference Papers

[SIGMOD'26] Beyond Vector Search: Querying With and Without Predicates

Jiadong Xie, Jeffrey Xu Yu, Siyi Teng, Yingfan Liu

Proceedings of the ACM on Management of Data (SIGMOD), 2026

[TheWebConf'26] Breaking the Single-Reference-Vector Barrier in Approximate Nearest Neighbor Search

Jiadong Xie, Jeffrey Liang, Siyi Teng, Jeffrey Xu Yu, Yingfan Liu

Proceedings of the ACM Web Conference (TheWebConf), Oral, 2026

[SIGMOD'25] Fast Approximate Similarity Join in Vector Databases

Jiadong Xie, Jeffrey Xu Yu, Yingfan Liu

Proceedings of the ACM on Management of Data (SIGMOD), 2025

[PVLDB'25] Revisiting the Index Construction of Proximity Graph-Based Approximate Nearest Neighbor Search

Shuo Yang^§, Jiadong Xie^§, Yingfan Liu, Jeffrey Xu Yu, Xiyue Gao, Qianru Wang, Yanguo Peng, Jiangtao Cui

Proceedings of the VLDB Endowment (PVLDB), 2025

[EuroSys'25] Groot: Graph-Centric Row Reordering with Tree for Sparse Matrix Multiplications on Tensor Cores

YuAng Chen, Jiadong Xie, Siyi Teng, Wenqi Zeng, Jeffrey Xu Yu

Proceedings of the ACM European Conference on Computer Systems (EuroSys), 2025

[ICDE'25] Privacy-Preserving Approximate Nearest Neighbor Search on High-Dimensional Data

Yingfan Liu, Yandi Zhang, Jiadong Xie, Hui Li, Jeffrey Xu Yu, Jiangtao Cui

Proceedings of the IEEE International Conference on Data Engineering (ICDE), 2025

[PVLDB'24] Influence Maximization via Vertex Countering

Jiadong Xie, Zehua Chen, Deming Chu, Fan Zhang, Xuemin Lin, Zhihong Tian

Proceedings of the VLDB Endowment (PVLDB), 2024

[TheWebConf'24] Optimizing Network Resilience via Vertex Anchoring

Siyi Teng^§, Jiadong Xie^§, Fan Zhang, Can Lu, Juntao Fang, Kai Wang

Proceedings of the ACM Web Conference (TheWebConf), Oral, 2024

[ICDE'23] Minimizing the Influence of Misinformation via Vertex Blocking

Jiadong Xie, Fan Zhang, Kai Wang, Xuemin Lin, Wenjie Zhang

Proceedings of the IEEE International Conference on Data Engineering (ICDE), 2023

[OSDI'23] VBASE: Unifying Online Vector Similarity Search and Relational Queries via Relaxed Monotonicity

Qianxi Zhang, Shuotao Xu, Qi Chen, Guoxin Sui, Jiadong Xie, Zhizhen Cai, Yaoqi Chen, Yinxuan He, Yuqing Yang, Fan Yang, Mao Yang, Lidong Zhou

USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2023

[KDD'23] Quantifying Node Importance over Network Structural Stability

Fan Zhang, Qingyuan Linghu, Jiadong Xie, Kai Wang, Xuemin Lin, Wenjie Zhang

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2023

Journal Papers

[TODS'25] Graph Based K-Nearest Neighbor Search Revisited

Jiadong Xie, Jeffrey Xu Yu, Yingfan Liu

ACM Transactions on Database Systems (TODS), 2025

[JOC'25] Influence Minimization via Blocking Strategies

Jiadong Xie, Fan Zhang, Kai Wang, Jialu Liu, Xuemin Lin, Wenjie Zhang

INFORMS Journal on Computing (JOC), 2025

[WWWJ'22] Discovering Key Users for Defending Network Structural Stability

Fan Zhang, Jiadong Xie, Kai Wang, Shiyu Yang, Yu Jiang

World Wide Web: Internet and Web Information Systems (WWWJ), 2022

Preprint

A Survey on Query Processing in Vector Databases

Jiadong Xie, Yingfan Liu, Jeffrey Xu Yu

Short/Demo Papers

[CIKM'23] IMinimize: A System for Negative Influence Minimization via Vertex Blocking

Siyi Teng, Jiadong Xie^★, Mingkai Zhang, Kai Wang, Fan Zhang

Proceedings of the ACM Conference on Information and Knowledge Management (CIKM), Demo, 2023

[SIGMOD'22] Hindering Influence Diffusion of Community

Jiadong Xie

Proceedings of the ACM on Management of Data (SIGMOD), Student Abstract, 2022

Academic Services

Conference Program Committee Member / Reviewer
- 2026: TheWebConf, NeurIPS, KDD, CIKM, IEEE Big Data.
- 2025: TheWebConf, NeurIPS, ICDM, CIKM, IEEE Big Data.
- 2024: TheWebConf, CIKM, IEEE Big Data.
- 2023: CIKM.
Journal Reviewer
- TODS, TKDE, TKDD.

Invited Talks

Proximity Graphs in Approximate Nearest Neighbor Search @ Guangzhou University, 2025.

Teaching

Teaching Assistant
- TA Coordinator, Fundamentals in Information Systems @ SEEM3550, CUHK, 2026 Spring.
- Open Systems and Electronic Commerce @ SEEM5770A/ECLT5840A, CUHK, 2025 Fall.
- Fundamentals in Information Systems @ SEEM3550B, CUHK, 2024, 2025 Spring.
- Advanced Database Technologies @ FTEC4001, CUHK, 2023, 2024 Fall.
- Practice of Programming @ COMS0031131043, ECNU, 2022 Spring.
Instructor of Youth Algorithm Training Team @ Shanghai Computer Trade Association (SCTA), 2021 Fall.
Captain of ECNU XCPC(ICPC/CCPC) Training Team @ ECNU, Jul. 2019 - Jul. 2022, More.
Invited Lecturer of Leetcode Dynamic Programming Series Course. DP Basics, Knapsack Problems.

Experience

Research Assistant, the School of Computer Science and Engineering, University of New South Wale (UNSW Sydney), Jul. 2022 - Jul. 2023, advised by Prof. Xuemin Lin.
Research Intern, Microsoft Research Asia, Feb. 2022 - Jun. 2022.

Selected Awards

CUHK Vice-Chancellor’s PhD Scholarship @ CUHK, 2023, 2024, 2025.
Undergraduate Student Research Competition Second Place @ SIGMOD, 2022.
Outstanding Undergraduate Thesis @ ECNU, 2022.
Outstanding Graduate of Shanghai @ Shanghai, 2022.
The President’s Scholarship @ ECNU, 2021.
Honors in The ICPC World Finals Contest @ ICPC, 2021.
Gold Medals in ICPC&CCPC @ 2018-2022, More.