Lecturer School of Computing and Mathematical Sciences University of Leicester, UK livent@126.com Google Scholar · DBLP

Biography

Dr Wentao Li is currently a Lecturer at the University of Leicester since 2024. Before that, he was a postdoctoral researcher at Hong Kong University of Science and Technology (Guangzhou) from 2023 to 2024, working under the supervision of Prof. Wei Wang. Moreover, from 2020 to 2022, he held the position of Postdoc Researcher at the University of Technology Sydney (UTS) under the guidance of Prof. Lu Qin. He completed his Ph.D. study at UTS in 2021, advised by Prof. Lu Qin, Prof. Ying Zhang, and Dr. Miao Qiao. He obtained his master’s degree from Chongqing University in 2016 and his bachelor’s degree from Nanchang Hangkong University in 2013.

Research Interests

His general research interests mainly focus on the areas of big data processing and mining. Currently, He is working on the following research topics:

• Data Processing: Graph Processing, Social Network Analysis, Parallel Computation;

• Data Mining: Recommender Systems, Vector Databases, AI4DB.

Selected Publications (* indicates Corresponding Author)

• Weizhe Chen, Wentao Li*， Min Gao, Dong Wen, Maolin Cai, Wei Wang.
  Locally Balancing Signed Graphs.
  International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2025. [CCF A, CORE A*]

• Dian Ouyang, Dong Wen, Jianye Yang, Wentao Li, Xuemin Lin.
  Weight-Constrained Simple Path Enumeration in Weighted Graph.
  International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2025. [CCF A, CORE A*]

• Wenqian Zhang, Zhengyi Yang, Dong Wen, Wentao Li, Wenjie Zhang, Xuemin Lin.
  Accelerating Core Decomposition in Billion-Scale Hypergraphs.
  International Conference on Management of Data (SIGMOD), 2025. [CCF A, CORE A*]

• Wentao Li, Maolin Cai, Min Gao, Dong Wen, Lu Qin, Wei Wang.
  Expanding Reverse Nearest Neighbors.
  International Conference on Very Large Data Bases (VLDB), 2024. [CCF A, CORE A*]

• Mingyu Yang, Wentao Li*, Wei Wang, Dong Wen, Lu Qin.
  Querying Numeric-Constrained Shortest Distances on Road Networks.
  IEEE International Conference on Data Engineering (ICDE), 2024. [CCF A, CORE A*]

• Junhua Zhang, Long Yuan, Wentao Li, Lu Qin, Ying Zhang, Wenjie Zhang.
  Label-Constrained Shortest Path Query Processing on Road Networks.
  The VLDB Journal, 2024. [CCF A, CORE A*]

• Zongwei Wang, Min Gao*, Wentao Li*, Junliang Yu, LinXin Guo, Hongzhi Yin.
  Efficient Bi-Level Optimization for Recommendation Denoising.
  International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2023. [CCF A, CORE A*]

• Wentao Li, Miao Qiao, Lu Qin, Lijun Chang, Ying Zhang, Xuemin Lin.
  On Scalable Computation of Graph Eccentricities.
  International Conference on Management of Data (SIGMOD), 2022. [CCF A, CORE A* | PDF | SLIDES | CODE]

• Junhua Zhang, Wentao Li*, Long Yuan, Lu Qin, Ying Zhang, Lijun Chang.
  Shortest-Path Queries on Complex Networks: Experiments, Analyses, and Improvement.
  International Conference on Very Large Data Bases (VLDB), 2022. [CCF A, CORE A*]

• Junhua Zhang, Long Yuan, Wentao Li, Lu Qin, Ying Zhang.
  Efficient Label-Constrained Shortest Path Queries on Road Networks: A Tree Decomposition Approach.
  International Conference on Very Large Data Bases (VLDB), 2022. [CCF A, CORE A* | PDF]

• Yuxuan Qiu, Dong Wen, Lu Qin, Wentao Li, Ronghua Li, Ying Zhang.
  Efficient Shortest Path Counting on Large Road Networks.
  International Conference on Very Large Data Bases (VLDB), 2022. [CCF A, CORE A*]

• Wentao Li, Min Gao, Dong Wen, Hongwei Zhou, Cai Ke, Lu Qin.
  Manipulating Structural Graph Clustering.
  IEEE International Conference on Data Engineering (ICDE), 2022. [CCF A, CORE A* | PDF]

• Junhua Zhang, Wentao Li*, Lu Qin, Ying Zhang, Dong Wen, Lizhen Cui, Xuemin Lin.
  Reachability Labeling for Distributed Graphs.
  IEEE International Conference on Data Engineering (ICDE), 2022. [CCF A, CORE A* | PDF]

• Wentao Li, Miao Qiao, Lu Qin, Ying Zhang, Lijun Chang, Xuemin Lin.
  Distance Labeling: on Parallelism, Compression, and Ordering.
  The VLDB Journal, 2022. [CCF A, CORE A* | PDF]

• Wentao Li, Min Gao, Fan Wu, Wenge Rong, Junhao Wen, Lu Qin.
  Manipulating Black-Box Networks for Centrality Promotion.
  IEEE International Conference on Data Engineering (ICDE), 2021. [CCF A, CORE A* | PDF | SLIDES]

• Wentao Li, Miao Qiao, Lu Qin, Ying Zhang, Lijun Chang, Xuemin Lin.
  Scaling Up Distance Labeling on Graphs with Core-Periphery Properties.
  International Conference on Management of Data (SIGMOD), 2020. [CCF A, CORE A* | PDF | SLIDES | CODE]

• Wentao Li, Miao Qiao, Lu Qin, Ying Zhang, Lijun Chang, Xuemin Lin.
  Scaling Distance Labeling on Small-World Networks.
  International Conference on Management of Data (SIGMOD), 2019. [CCF A, CORE A* | PDF | SLIDES | CODE]

• Wentao Li, Miao Qiao, Lu Qin, Ying Zhang, Lijun Chang, Xuemin Lin.
  Eccentricities on Small-World Networks.
  The VLDB Journal, 2019. [CCF A, CORE A* | PDF]

• Wentao Li, Miao Qiao, Lu Qin, Ying Zhang, Lijun Chang, Xuemin Lin.
  Exacting Eccentricity for Small-World Networks.
  IEEE International Conference on Data Engineering (ICDE), 2018. [CCF A, CORE A* | PDF | SLIDES]

• Min Gao, Wentao Li.
  Shilling Attacks and Detection in Social Recommender Systems.
  Science Press, 2017. [BOOK | LINK, In Chinese]

• Kan Tan, Min Gao, Wentao Li, Renli Tian, Junhao Wen, Qingyu Xiong.
  Two-layer Sampling Active Learning Algorithm for Social Spammer Detection.
  Acta Automatica Sinica, 2017. [CCF T1]

• Wentao Li, Min Gao, Hua Li, Qingyu Xiong, Junhao Wen, Bin Ling.
  A Shilling Attack Detection Algorithm Based on Popularity Degree Features.
  Acta Automatica Sinica, 2015. [CCF T1 | Granted Patent]

Academia Services

• Journal Reviewer: TODS, TKDE, TIFS, Information Sciences, Knowledge and Information Systems, Data Science and Engineering, etc.
• PC Member: ICDE 2025, AAAI 2023-2025, DASFAA 2023-2024, PAKDD 2021-2025, ADMA 2023-2024, APWEB 2024, ADC 2021-2024, SIGIR 2022, WISE Demo 2021, etc.
• Session Chair: ICDE 2023-2024, etc.
• External Reviewer: SIGKDD 2024-2025，2019-2020, ICDE 2020, DASFAA 2020, CIKM 2018-2019, etc.

Teaching Experiences

• Guest Lecturer, Data Analytics for Graphs,
  University of New South Wales, Autumn Session 2022.
• Tutor, Studio 3: Innovation (Machine Learning),
  University of Technology Sydney, Spring Session 2022.
• Tutor, Studio 3: Innovation (Machine Learning),
  University of Technology Sydney, Autumn Session 2022.
• Tutor, Studio 3: Innovation (Machine Learning),
  University of Technology Sydney, Spring Session 2021.
• Tutor, Data Structures and Algorithms,
  University of Technology Sydney, Summer Session 2020.
• Tutor, Enterprise Business Requirements,
  University of Technology Sydney, Autumn Session 2020.
• Tutor, Computer Networks,
  Chongqing University, Autumn Session, 2015.
• Tutor, The Fundamentals of Computer,
  Chongqing University, Autumn Session, 2014.

Honors and Awards

• 2021 Global Top 100 Chinese Rising Stars in Artificial Intelligence, 2021.
• SIGMOD Travel Award, 2019.
• Outstanding Graduate of Chongqing City, 2016.
• Outstanding Graduate of Chongqing University, 2016.

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