Wentao Li

Orcid: 0000-0003-4941-8814

Affiliations:
  • University of Leicester, School of Computing and Mathematical Sciences, UK
  • Hong Kong University of Science and Technology, Guangzhou, China (2023 - 2024)
  • University of Technology Sydney, NSW, Australia (Ph.D. 2021)
  • University of Technology Sydney, NSW, Australia (2020 - 2022)


According to our database1, Wentao Li authored at least 42 papers between 2016 and 2025.

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Bibliography

2025
Accelerating K-Core Computation in Temporal Graphs.
CoRR, August, 2025

Elastic Index Select for Label-Hybrid Search in Vector Database.
CoRR, May, 2025

ESG: Elastic Graphs for Range-Filtering Approximate k-Nearest Neighbor Search.
CoRR, April, 2025

Accelerating Core Decomposition in Billion-Scale Hypergraphs.
Proc. ACM Manag. Data, February, 2025

LARGE: A leadership perception framework for group recommendation.
Expert Syst. Appl., 2025

Graph with Sequence: Broad-Range Semantic Modeling for Fake News Detection.
Proceedings of the ACM on Web Conference 2025, 2025

Weight-Constrained Simple Path Enumeration in Weighted Graph.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Locally Balancing Signed Graphs.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Effective and General Distance Computation for Approximate Nearest Neighbor Search.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

An Overview of Path Queries on Graphs.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Accelerating Shortest Path Counting on Road Networks.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024
Label-constrained shortest path query processing on road networks.
VLDB J., May, 2024

Fast High-dimensional Approximate Nearest Neighbor Search with Efficient Index Time and Space.
CoRR, 2024

Bridging Speed and Accuracy to Approximate <i>K</i>-Nearest Neighbor Search.
CoRR, 2024

Querying Numeric-Constrained Shortest Distances on Road Networks.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

On Compressing Historical Cliques in Temporal Graphs.
Proceedings of the Database Systems for Advanced Applications, 2024

Multi-Scale Hybrid Embedding Transformer for Atrophic Gastritis Recognition.
Proceedings of the 17th International Congress on Image and Signal Processing, 2024

2023
Expanding Reverse Nearest Neighbors.
Proc. VLDB Endow., December, 2023

Efficient Bi-Level Optimization for Recommendation Denoising.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

What Really Matters for Graph Contrastive Learning-Based Recommendations? A Unified Learning Strategy.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

2022
Distance labeling: on parallelism, compression, and ordering.
VLDB J., 2022

Shortest-Path Queries on Complex Networks: Experiments, Analyses, and Improvement.
Proc. VLDB Endow., 2022

Efficient Shortest Path Counting on Large Road Networks.
Proc. VLDB Endow., 2022

Quick Graph Conversion for Robust Recommendation.
CoRR, 2022

Addressing the Extreme Cold-Start Problem in Group Recommendation.
CoRR, 2022

On Scalable Computation of Graph Eccentricities.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Reachability Labeling for Distributed Graphs.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Manipulating Structural Graph Clustering.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
Measuring Graphs with Shortest Distances
PhD thesis, 2021

Efficient Label-Constrained Shortest Path Queries on Road Networks: A Tree Decomposition Approach.
Proc. VLDB Endow., 2021

Manipulating Black-Box Networks for Centrality Promotion.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
Scaling Up Distance Labeling on Graphs with Core-Periphery Properties.
Proceedings of the 2020 International Conference on Management of Data, 2020

2019
Eccentricities on small-world networks.
VLDB J., 2019

Scaling Distance Labeling on Small-World Networks.
Proceedings of the 2019 International Conference on Management of Data, 2019

2018
Exacting Eccentricity for Small-World Networks.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017
Social recommendation using Euclidean embedding.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

PUD: Social Spammer Detection Based on PU Learning.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

PUED: A Social Spammer Detection Method Based on PU Learning and Ensemble Learning.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017

2016
Shilling Attack Detection in Recommender Systems via Selecting Patterns Analysis.
IEICE Trans. Inf. Syst., 2016

Research Fronts of Robust Social Recommendation.
Proceedings of the 9th International Conference on Service Science, 2016

LSSL-SSD: Social Spammer Detection with Laplacian Score and Semi-supervised Learning.
Proceedings of the Knowledge Science, Engineering and Management, 2016

Dropout prediction in MOOCs using behavior features and multi-view semi-supervised learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016


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