Wentao Li

Orcid: 0000-0003-4941-8814

Affiliations:

Hong Kong University of Science and Technology
University of Technology Sydney, Ultimo, Australia (former)

According to our database¹, Wentao Li authored at least 26 papers between 2016 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

Article

PhD thesis

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Other

Bibliography

2023

Expanding Reverse Nearest Neighbors.

[BibT_eX]

[DOI]

Proc. VLDB Endow., December, 2023

Efficient Bi-Level Optimization for Recommendation Denoising.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

2022

Distance labeling: on parallelism, compression, and ordering.

[BibT_eX]

[DOI]

VLDB J., 2022

Shortest-Path Queries on Complex Networks: Experiments, Analyses, and Improvement.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2022

Efficient Shortest Path Counting on Large Road Networks.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2022

Quick Graph Conversion for Robust Recommendation.

[BibT_eX]

[DOI]

Zongwei Wang

Min Gao

Wentao Li

CoRR, 2022

Addressing the Extreme Cold-Start Problem in Group Recommendation.

[BibT_eX]

[DOI]

CoRR, 2022

On Scalable Computation of Graph Eccentricities.

[BibT_eX]

[DOI]

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Reachability Labeling for Distributed Graphs.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Manipulating Structural Graph Clustering.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Measuring Graphs with Shortest Distances

[BibT_eX]

[DOI]

Wentao Li

PhD thesis, 2021

Efficient Label-Constrained Shortest Path Queries on Road Networks: A Tree Decomposition Approach.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2021

Manipulating Black-Box Networks for Centrality Promotion.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

Scaling Up Distance Labeling on Graphs with Core-Periphery Properties.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Conference on Management of Data, 2020

2019

Eccentricities on small-world networks.

[BibT_eX]

[DOI]

VLDB J., 2019

Scaling Distance Labeling on Small-World Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Management of Data, 2019

2018

Exacting Eccentricity for Small-World Networks.

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

Range-angle-decoupled beampattern synthesis with subarray-based frequency diverse array.

[BibT_eX]

[DOI]

Digit. Signal Process., 2017

Social recommendation using Euclidean embedding.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

PUD: Social Spammer Detection Based on PU Learning.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 24th International Conference, 2017

PUED: A Social Spammer Detection Method Based on PU Learning and Ensemble Learning.

[BibT_eX]

[DOI]

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017

2016

Shilling Attack Detection in Recommender Systems via Selecting Patterns Analysis.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2016

Research Fronts of Robust Social Recommendation.

[BibT_eX]

[DOI]

Feng Jiang

Min Gao

Wentao Li

Proceedings of the 9th International Conference on Service Science, 2016

LSSL-SSD: Social Spammer Detection with Laplacian Score and Semi-supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Science, Engineering and Management, 2016

Dropout prediction in MOOCs using behavior features and multi-view semi-supervised learning.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Wentao Li

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