Hanchen Wang

Orcid: 0000-0003-3158-9586

Affiliations:

University of Technology Sydney, Faculty of Engineering and Information Technology, School of Computer Science, NSW, Australia
Zhejiang Gongshang University, China
University of New South Wales, Sydney, NSW, Australia (2021 - 2022)
University of Technology Sydney, NSW, Australia (PhD 2021)

According to our database¹, Hanchen Wang authored at least 28 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

Temporal Insights for Group-Based Fraud Detection on e-Commerce Platforms.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., February, 2025

2024

Deep Learning Approaches for Similarity Computation: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2024

Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., March, 2024

Influence maximization on hypergraphs via multi-hop influence estimation.

[BibT_eX]

[DOI]

Inf. Process. Manag., March, 2024

Neural Similarity Search on Supergraph Containment.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., January, 2024

Simple and deep graph attention networks.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

Bridging Large Language Models and Graph Structure Learning Models for Robust Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2024

RIDA: A Robust Attack Framework on Incomplete Graphs.

[BibT_eX]

[DOI]

CoRR, 2024

STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model.

[BibT_eX]

[DOI]

CoRR, 2024

Neural Similarity Search on Supergraph Containment (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Bipartite Graph Analytics: Current Techniques and Future Trends.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

TIformer: A Transformer-Based Framework for Time-Series Forecasting with Missing Data.

[BibT_eX]

[DOI]

Proceedings of the Databases Theory and Applications, 2024

2023

FPGN: follower prediction framework for infectious disease prevention.

[BibT_eX]

[DOI]

World Wide Web (WWW), November, 2023

Bipartite graph capsule network.

[BibT_eX]

[DOI]

World Wide Web (WWW), January, 2023

Group-based Fraud Detection Network on e-Commerce Platforms.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Polarity-based graph neural network for sign prediction in signed bipartite graphs.

[BibT_eX]

[DOI]

World Wide Web, 2022

Powerful graph of graphs neural network for structured entity analysis.

[BibT_eX]

[DOI]

World Wide Web, 2022

Neural Subgraph Counting with Wasserstein Estimator.

[BibT_eX]

[DOI]

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

TMN: Trajectory Matching Networks for Predicting Similarity.

[BibT_eX]

[DOI]

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

Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching.

[BibT_eX]

[DOI]

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

2021

Designing Machine Learning Models for Graph Analytics

[BibT_eX]

[DOI]

Hanchen Wang

PhD thesis, 2021

Binarized graph neural network.

[BibT_eX]

[DOI]

World Wide Web, 2021

EI-LSH: An early-termination driven I/O efficient incremental c-approximate nearest neighbor search.

[BibT_eX]

[DOI]

VLDB J., 2021

T3S: Effective Representation Learning for Trajectory Similarity Computation.

[BibT_eX]

[DOI]

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

2020

GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

I/O Efficient Algorithm for c-Approximate Furthest Neighbor Search in High-Dimensional Space.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2020

2019

I-LSH: I/O Efficient c-Approximate Nearest Neighbor Search in High-Dimensional Space.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Skyline Nearest Neighbor Search on Multi-layer Graphs.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019

Hanchen Wang

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