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Career

· Chair Of IEEE CIS Neural Networks Technical Committee (NNTC), IEEE2025–
· Chair Of IEEE CIS Task Force On Learning For Graphs, IEEE2023–2024
· Professor, Griffith University2022–
· Adjunct Associate Professor, Monash University2022–
· Adjunct Professor, Monash University2022–
· ARC Future Fellow, Monash University2022–2022
· Director Of Master Of AI, Monash University2022–2022
· Vice Chair Of IEEE CIS Task Force On Learning For Graphs, IEEE2021–2022
· Graduate Research Coordinator, Monash University2021–2021
· Senior Lecturer, Monash University2021–2022
· Lecturer, Monash University2019–2021
· Lecturer, University of Technology Sydney2018–2019
· Research Fellow, University of Technology Sydney2015–2018
· Doctor of Philosophy (Ph.D.), Information Technology, University of Technology, Sydney2011–2015

Publications (217)

A Comprehensive Survey on Graph Neural Networks
IEEE Transactions on Neural Networks and Learning Systems · 2019
10,380
cited
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
International Joint Conference on Artificial Intelligence · 2019
2,788
cited
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
IEEE Transactions on Neural Networks and Learning Systems · 2020
2,472
cited
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks
Knowledge Discovery and Data Mining · 2020
1,826
cited
DiSAN: Directional Self-Attention Network for RNN/CNN-free Language Understanding
AAAI Conference on Artificial Intelligence · 2017
778
cited
Graph Self-Supervised Learning: A Survey
IEEE Transactions on Knowledge and Data Engineering · 2021
689
cited
Attributed Graph Clustering: A Deep Attentional Embedding Approach
International Joint Conference on Artificial Intelligence · 2019
601
cited
MGAE: Marginalized Graph Autoencoder for Graph Clustering
International Conference on Information and Knowledge Management · 2017
495
cited
Adversarially Regularized Graph Autoencoder
International Joint Conference on Artificial Intelligence · 2018
472
cited
Graph Learning: A Survey
IEEE Transactions on Artificial Intelligence · 2021
445
cited
Tri-Party Deep Network Representation
International Joint Conference on Artificial Intelligence · 2016
432
cited
Deep Learning for Time Series Anomaly Detection: A Survey
ACM Computing Surveys · 2022
415
cited
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
IEEE Transactions on Neural Networks and Learning Systems · 2021
406
cited
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning
IEEE Transactions on Knowledge and Data Engineering · 2021
351
cited
Learning Graph Embedding With Adversarial Training Methods
IEEE Transactions on Cybernetics · 2019
333
cited
Iterative Views Agreement: An Iterative Low-Rank Based Structured Optimization Method to Multi-View Spectral Clustering
International Joint Conference on Artificial Intelligence · 2016
242
cited
Towards Unsupervised Deep Graph Structure Learning
The Web Conference · 2022
240
cited
Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications
IEEE Transactions on Computational Social Systems · 2019
210
cited
Simple and Efficient Heterogeneous Graph Neural Network
AAAI Conference on Artificial Intelligence · 2022
207
cited
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2023
204
cited
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