Wentao Li (李文涛)

Overview

I am a Lecturer in the School of Computing and Mathematical Sciences at the University of Leicester. My research focuses on developing efficient and scalable solutions for large-scale data processing and machine learning, with particular interests in graph data processing, graph mining, and vector databases.

I have published more than 30 CORE A*/CCF-A level papers, including work at SIGMOD, VLDB, SIGKDD, ICDE, The Web Conference, TKDE, and VLDBJ. I have also authored one monograph and obtained one patent. More information is available on my Biography page.

News

Swipe horizontally or use the scrollbar to browse the five latest publications.

ICDE

Kaiyu Chen, Dong Wen, Wentao Li, Wenjie Zhang, Xuemin Lin.
Maintaining Ego-Betweenness Centrality at Billion Scale.
IEEE International Conference on Data Engineering (ICDE), 2027. [CCF A, CORE A*]

TKDE

Mingyu Yang, Wentao Li*, Wei Wang, Dong Wen, Min Gao, Lu Qin.
Structural Clustering for Bipartite Graphs.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2026. [CCF A, CORE A*]

SIGKDD

Wenxuan Xia, Mingyu Yang, Wentao Li, Wei Wang.
E2E: Efficient Filtered AKNN Search via Adaptive Termination.
International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2026. [CCF A, CORE A*]

ICDE

Junhua Zhang, Yamei Song, Wentao Li*, Lu Qin.
Efficient Top-k Nearest Neighbors Search in Dynamic Road Networks.
IEEE International Conference on Data Engineering (ICDE), 2026. [CCF A, CORE A*]

ICDE

Junhua Zhang, Wentao Li, Wenjie Zhang, Lu Qin, Xiaochun Yang.
An Efficient and Scalable Approach for Path Queries on Public Transportation Networks.
IEEE International Conference on Data Engineering (ICDE), 2026. [CCF A, CORE A*]

View all selected publications →

Prospective Students

I am looking for highly motivated PhD students, including CSC Joint PhD candidates, to join me at the University of Leicester. Our research addresses challenging problems in graph data processing, graph mining, and vector databases.

  • GTA-funded opportunities: open to qualified UK and international applicants.
  • CSC-funded opportunities: available to eligible Chinese applicants, including joint PhD candidates.
  • How to apply: please send your CV and research statement to wl226@leicester.ac.uk or livent@126.com.

Please visit the Students page for application details and funding links.

Funding

Numeric-Constrained Shortest Path Query Processing on Road Networks

National Natural Science Foundation of China · Young Scientists Fund (Category C) · Grant 62302417

Principal Investigator · Jan 2024–Dec 2026 · RMB 300,000

Key Technologies for Heterogeneous Data Management Based on Foundation Models

Guangzhou Municipal Science and Technology Bureau · University–Institution–Enterprise Joint Funding Project · Grant 2024A03J0621

Participant · Jan 2024–Dec 2026 · RMB 300,000

Awards