Hanchen Wang

About Me

I am currently an ARC DECRA Fellow and lecturer at Australian Artificial Intelligence Institute (AAII), University of Technology Sydney, where I serve as Co-Director of the Sydney Data Intelligence Lab (SyDI Lab) together with Prof. Lu Qin. I am also an Adjunct Lecturer at The University of New South Wales and an Associate Investigator of ARC Centre of Excellence for the Mathematical Analysis of Cellular Systems (MACSYS). Before joining UTS, I was a postdoctoral research fellow at Data and Knowledge Research Group at The University of New South Wales, supervised by Prof. Wenjie Zhang. Find out more about me here.

Email: hanchen.wang [at] uts.edu.au

🎉 New Position at UTS

I joined the Data Intelligence Lab at AAII, UTS as an ARC DECRA Fellow and lecturer (Continuing position).

Jan 15, 2025

RIDA: a robust attack framework on incomplete graphs

Jan 1, 2025

Inferring gene regulatory networks by hypergraph generative model

Jan 1, 2025

🎉 One paper accepted by ICDE 2025

We have one paper, titled "Structure and Position-Aware Graph Modeling for Trajectory Similarity Computation Over Road Networks", accepted by ICDE 2025. Congrats to Peilun.

Dec 15, 2024

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

Oct 1, 2024

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

Oct 1, 2024

Deep Learning Approaches for Similarity Computation: A Survey

*IEEE Transactions on Knowledge and Data Engineering (**TKDE**) 2024*

Jul 3, 2024

Bipartite Graph Analytics: Current Techniques and Future Trends

*IEEE 40th International Conference on Data Engineering (**ICDE '24**)*

May 13, 2024

Simple and Deep Graph Attention Networks

*Knowledge-Based Systems 2024*

Mar 19, 2024

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

*Arxiv*

Mar 18, 2024

Influence Maximization on Hypergraphs via Multi-Hop Influence Estimation

*Information Processing and Management 2024*

Jan 16, 2024

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

Jan 1, 2024

GQ*: Towards Generalizable Deep Q-Learning for Steiner Tree in Graphs

Jan 1, 2024

FPGN: follower prediction framework for infectious disease prevention

*World Wide Web 2023*

Sep 16, 2023

Group-based Fraud Detection Network on e-Commerce Platforms

*29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (**KDD '23**)*

Aug 4, 2023

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

*IEEE Transactions on Knowledge and Data Engineering (**TKDE**) 2023*

Jul 24, 2023

Neural Similarity Search on Supergraph Containment

*IEEE Transactions on Knowledge and Data Engineering (**TKDE**) 2023*

May 25, 2023

TMN: Trajectory Matching Networks for Learning Similarity Computation

*IEEE 38th International Conference on Data Engineering (**ICDE '22**)*

Mar 25, 2022

Neural Subgraph Counting with Wasserstein Estimator

*ACM Special Interest Group in Management Of Data 2022 (**SIGMOD '22**)*

Mar 8, 2022

Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching

*IEEE 38th International Conference on Data Engineering (**ICDE '22**)*

Jan 18, 2022

Polarity-based Graph Neural Network for Sign Prediction in Signed Bipartite Graphs

*World Wide Web 2022*

Jan 12, 2022

Bipartite Graph Capsule Network

*World Wide Web 2022*

Jan 11, 2022

Powerful Graph of Graphs Neural Network for Structured Entity Analysis

*World Wide Web 2021*

Jun 4, 2021

Binarized Graph Neural Network

*World Wide Web 2021*

Apr 8, 2021

T3S: Effective Representation Learning for Trajectory Similarity Computation

*IEEE 37th International Conference on Data Engineering (**ICDE '21**)*

Jan 18, 2021

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

*The VLDB Journal 2020 (**VLDBJ**)*

Sep 30, 2020

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

*Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (**IJCAI '20**)*

Apr 6, 2020

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

*Database Systems for Advanced Applications (**DASFAA-2020**)*

Apr 1, 2020

Skyline Nearest Neighbor Search on Multi-layer Graphs

*IEEE 35th International Conference on Data Engineering Workshops (**ICDEW-2019**)*

Apr 20, 2019

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

*IEEE 35th International Conference on Data Engineering (**ICDE-2019**)*

Apr 6, 2019