Publications

This publication list highlights recent work in smart infrastructure analytics, graph learning, financial market surveillance, remote sensing, recommendation systems, process mining, and responsible AI.

Improving Day-Ahead Grid Carbon Intensity Forecasting by Joint Modeling of Local-Temporal and Cross-Variable Dependencies Across Different Frequencies

B Zhang, H Tian, A Berry, AC Roussac

arXiv preprint arXiv:2601.06530

Year 2026

Unsupervised and few-shot segmentation in photovoltaic electroluminescence images for defect detection via a novel enhanced iterative autoencoder with simple implementation

Y Lin, P Sun, R Wu, S Geng, ML Yiu, Z Li, F Chen, Y Gao, M Wang, K Sun, ...

Energy & Environmental Science

Year 2026

Can GNNs Learn Link Heuristics? a Concise Review and Evaluation of Link Prediction Methods

S Liang, Y Ding, Z Li, B Liang, S Zhang, Y Wang, F Chen

IEEE Transactions on Big Data 12 (1), TBDATA. 2025

Year 2026

AI-Driven Financial Market Surveillance of Shadow Insider Trading

B Li, A Stenfors, K Dilshani, A Guo, P Mere, F Chen

Available at SSRN 5722753

Year 2025

An Explainable Graph Learning Framework for Severe Maternal Morbidity Prediction

H Lu, Y Lin, R Wu, P Sun, Y Gao, Z Li

Australasian Joint Conference on Artificial Intelligence, 335-346

Year 2025

Spatio-Temporal Residual Masked Autoencoder for Urban Rent Estimation

C Huang, B Liang, Z Li, J Wang, F Chen

Proceedings of the 34th ACM International Conference on Information and ...

Year 2025

An Adaptive Multi-Agent Framework for Semantic-Aware Process Mining

X Su, B Liang, Z Li, Y Dong, J Wang, F Chen

Computers 14 (11), 481

Year 2025

Shadow trading detection: A graph-based surveillance approach

T Guo, B Li, A Stenfors, K Hewage, P Mere, F Chen

Finance Research Letters

Year 2025

Remote Sensing-Oriented World Model

Y Lu, B Wu, Z Li, K Li, C Huang, H Wang, Q Lan, R Chen, L Chen, B Liang

arXiv preprint arXiv:2509.17808

Year 2025

A local-temporal convolutional transformer for day-ahead electricity wholesale price forecasting

B Zhang, H Tian, A Berry, AC Roussac

Sustainability 17 (12), 5533

Year 2025

ADVANCED MODEL-A DIGITAL INNOVATION FOR WATER QUALITY PREDICTION AND DYNAMIC OPTIMISATION OF WATER TREATMENT

H Tian

2025

Year 2025

Can GNNs learn link heuristics? A concise review and evaluation of link prediction methods

S Liang, Y Ding, Z Li, B Liang, S Zhang, Y Wang, F Chen

IEEE Transactions on Big Data

Year 2025

Toward fair medical advice: Addressing and mitigating bias in large language model-based healthcare applications

H Lu, Y Lin, Z Li, ML Yiu, Y Gao, S Uddin

Artificial Intelligence in Medicine, 103216

Year 2025

MLAD: A Multi-Task Learning Framework for Anomaly Detection

K Li, Z Tang, S Liang, Z Li, B Liang

Sensors 25 (13), 4115

Year 2025

Navigating towards fairness with data selection

Y Zhang, Z Li, Y Wang, F Chen, X Fan, F Zhou

Proceedings of the AAAI Conference on Artificial Intelligence 39 (21), 22632 ...

Year 2025

Data Analytics for Smart Infrastructure: Asset Management and Network Performance

Y Wang, Z Li, B Liang, H Tian, T Guo, F Chen

CRC Press

Year 2025

Expert-Guided Model Cultivation: CoTeaching to Resolve Abstruseness and Enhance Learning Performance

S Zhang, F Zhou, Z Li, Y Wang, D Qi, S Li

International Conference on Advanced Data Mining and Applications, 18-32

Year 2024

VAGNN: Advancing the Generalization of Graph Neural Networks

S Liang, Y Ding, B Liang, Z Li, S Zhang, Y Wang, F Chen

International Conference on Neural Information Processing, 150-165

Year 2024

Identification of Shadow Trading Risks in US Equity Markets via a Spatio-Temporal Graph Attention Network

A Stenfors, B Li, K Dilshanib, T Guo, P Mere, F Chen

5th Annual Boca-ECGI Corporate Finance and Governance Conference

Year 2024

A Model to Quantify the Risk of Cross-Product Manipulation: Evidence from the European Government Bond Futures Market

A Stenfors, K Dilshani, A Guo, P Mere

11th Annual Conference on Financial Market Regulation

Year 2024

Detecting the risk of cross-product manipulation in the EUREX fixed income futures market

A Stenfors, K Dilshani, A Guo, P Mere

Journal of International Financial Markets, Institutions & Money 92

Year 2024

Multi-task Deep Learning for Prediction of Kiwifruit Yield in New Zealand with Uncertainty Quantification

J Kan, Z Li, J Zhou, E Webster, A Rootsey, P McHannigan, L Zhang, ...

International Conference on Neural Information Processing, 290-304

Year 2024

Experimental comparison of two main paradigms for day-ahead average carbon intensity forecasting in power grids: A case study in Australia

B Zhang, H Tian, A Berry, H Huang, AC Roussac

Sustainability 16 (19), 8580

Year 2024

Interpretable transformer hawkes processes: Unveiling complex interactions in social networks

Z Meng, K Wan, Y Huang, Z Li, Y Wang, F Zhou

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and ...

Year 2024

Transfeat-tpp: An interpretable deep covariate temporal point processes

Z Meng, B Li, X Fan, Z Li, Y Wang, F Chen, F Zhou

arXiv preprint arXiv:2407.16161

Year 2024

Few-shot stereo matching with high domain adaptability based on adaptive recursive network

R Wu, M Wang, Z Li, J Zhou, F Chen, X Wang, C Sun

International Journal of Computer Vision 132 (5), 1484-1501

Year 2024

Machine Learning and Computer Vision Applications in Civil Infrastructure Inspection and Monitoring

S Liang, A Guo, B Liang, Z Li, Y Ding, Y Wang, F Chen

Infrastructure Robotics: Methodologies, Robotic Systems and Applications, 59-80

Year 2024

Spatio-temporal contrastive learning enhanced gnns for session-based recommendation

Z Wan, X Liu, B Wang, J Qiu, B Li, T Guo, G Chen, Y Wang

ACM Transactions on Information Systems

Year 2023

Congcn: Factorized graph convolutional networks for consensus recommendation

B Li, T Guo, X Zhu, Y Wang, F Chen

Joint European Conference on Machine Learning and Knowledge Discovery in ...

Year 2023

USE OF MACHINE LEARNING AND ROBOTIC SENSING TO TARGET RENEWALS IN CONCRETE GRAVITY SEWERS

B Stephen, M Kacprzak, B Li, T Guo, Y Wang, V Viswanathan, ...

OZWater'23

Year 2023

Self-adaptive predictive passenger flow modeling for large-scale railway systems

B Li, T Guo, R Li, Y Wang, AH Gandomi, F Chen

IEEE Internet of Things Journal 10 (16), 14182-14196

Year 2023

SGCCL: siamese graph contrastive consensus learning for personalized recommendation

B Li, T Guo, X Zhu, Q Li, Y Wang, F Chen

Proceedings of the sixteenth ACM international conference on web search and ...

Year 2023

Data-driven Delay Analysis with Applications to Railway Networks

B Li, T Guo, Y Wang, F Chen

Advances in Data Science and Analytics : Concept and Paradigm

Year 2023

Machine learning prediction to improve operational resilience in managing disinfection for Macarthur Water Supply System

H Tian

Ozwater'23

Year 2023

Electrical Network-Related Incident Prediction Based on Weather Factors

H Tian, J Nghiem, F Chen

Advances in Data Science and Analytics: Concepts and Paradigms, 233-245

Year 2023

Optimizing water quality with data analytics and machine learning

B Liang, Z Li, H Tian, S Liang, Y Wang, F Chen

Advances in Data Science and Analytics: Concepts and Paradigms, 39-65

Year 2023

Fair representation learning with unreliable labels

Y Zhang, F Zhou, Z Li, Y Wang, F Chen

International Conference on Artificial Intelligence and Statistics, 4655-4667

Year 2023

Does a Compromise on Fairness Exist in Using AI Models?

J Zhou, Z Li, C Xiao, F Chen

Australasian Joint Conference on Artificial Intelligence, 191-204

Year 2022