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2023 Macquarie’s DSAI Spotlight
Faculty of Science and Engineering
Faculty of Arts
Faculty of Medicine, Health and Human Sciences
Macquarie Business School
Faculty of Science and Engineering
Research grants
Data Complexity and Uncertainty-Resilient Deep Variational Learning
2024 ARC Discovery: DP240102050
2024 - 2026
Longbing Cao and Joao Gama
Federated Omniverse Facilities for Smart Digital Futures
2024 ARC LIEF: LE240100131
2024
Longbing Cao; Patricia Davidson; Vijay Varadharajan; Jinman Kim; Ping Yu; Amin Beheshti; Associate Quang Vinh Nguyen; Dr Sankalp Khanna
New Graph Mining Technologies to Enable Timely Exploration of Social Events
2023 ARC Discovery: DP230100899
2023 - 2025
Jia Wu and Jian Yang
Trust-Oriented Data Analytics in Online Social Networks
2023 ARC Discovery: DP230100676
2023 - 2026
Yan Wang, Mehmet Orgun and Guanfeng Liu
Deep Pattern Mining for Brain Graph Analysis: A Data Mining Perspective
2022 ARC Linkage Project: LP210301259
2022
Jia Wu, Jian Yang, Michael Sheng, Amin Beheshti, David McAipline and Prof Paul Sowman
Fighting Global Phone Scams with Conversational AI
2022 ARC DP NIS: NI220100105
2022 - 2025
Dali Kaafar, Shlomo Berkovsky, Ian Wood, Mark Dras, Niloufer Selvadurai
Deep Interaction Learning in Unlabelled Big Data and Complex Systems
ARC Future Fellowship, Level 3: FT190100734
2020 -2024
Longbing Cao
AIS-SHIELDS: Securing Health Intelligence Efforts & Linking Data Silos
2023 MRFF National Critical Research Infrastructure
2023 - 2027
Ryan Patrick Sullivan, Graham John Galloway, Fernando Calamante, Thomas Glyn Close, David Abramson, Associate Paul Fredrick Sowman et al.
Detecting Medically Related Fraud, Abuse, Waste and Errors in Motor Vehicle Insurance Claims
Digital Health CRC: PURE ID 210873276
2023
Mark Dras, Jian Yang, Xuyun Zhang, Deborah Richards, Reza Mohajerpoor, Clara Chun, Shiva Sharif
Journal papers
ACM Computing Surveys
A Comprehensive Survey on Collaborative Data-access Enablers in the IIoT
Danfeng Sun, Junjie Hu, Huifeng Wu, Jia Wu, Jian Yang, Quan Z Sheng, Schahram Dustdar
ACM Computing Surveys
The Path to Defence: A Roadmap to Characterising Data Poisoning Attacks on Victim Models
Tarek Chaalan, Shaoning Pang, Joarder Kamruzzaman, Iqbal Gondal, Xuyun Zhang
Behaviour and Information Technology
Changing users' health behaviour intentions through an embodied conversational agent delivering explanations based on users' beliefs and goals
Abdulrahman, A., Richards, D. & Bilgin, A. A.,
IEEE Transactions on Knowledge and Data Engineering
A-MCTS: Adaptive Monte Carlo Tree Search for Temporal Path Discovery
P. Ding, G. Liu, Y. Wang, K. Zheng, and X. Zhou
IEEE Transactions on Knowledge and Data Engineering
Few-Shot Semantic Relation Prediction across Heterogeneous Graphs
P. Ding, Y. Wang, G. Liu, and X. Zhou
IEEE Transactions on Knowledge and Data Engineering
Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective
Hui He, Qi Zhang, Shoujin Wang, Kun Yi, Zhendong Niu, and Longbing Cao
IEEE Transactions on Knowledge and Data Engineering
Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks
Taotao Cai, Qi Lei, Quan Z Sheng, Ningning Cui, Shuiqiao Yang, Jian Yang, Wei Emma Zhang et al.
IEEE Transactions on Neural Networks and Learning Systems
Copula Variational LSTM for High-dimensional Cross-market Multivariate Dependence Modeling
Jia Xu and Longbing Cao
IEEE Transactions on Neural Networks and Learning Systems
Out-of-Distribution Detection by Cross-Class Vicinity Distribution of In-Distribution Data
Zhilin Zhao, Longbing Cao, and Kun-Yu Lin
IEEE Transaction on Pattern Recognition and Machine Intelligence
Supervision Adaptation Balancing In-distribution Generalization and Out-of-distribution Detection
Zhilin Zhao, Longbing Cao, and Kun-Yu Lin
International Journal of Human Computer Studies
A principlist-based study of the ethical design and acceptability of artificial social agents
Richards, D., Vythilingam, R. & Formosa, P.
Conference papers
ACM Multimedia 2023
A Contrastive Learning Framework for Dual-Target Cross-Domain Recommendation
Jinhu Lu, Guohao Sun, Xiu Fang, Jian Yang, Wei He
ACL 2023
Answering Unanswered Questions through Semantic Reformulations in Spoken QA
Pedro Faustini, Zhiyu Chen, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi
ICDM 2023
Deep Optimal Isolation Forest with Genetic Algorithm for Anomaly Detection
Haolong Xiang, Xuyun Zhang, Mark Dras, Amin Beheshti, Wanchun Dou, Xiaolong Xu
ICDM 2023
Self-supervised Heterogeneous Hypergraph Learning with Context-aware Pooling for Graph-level Classification
Malik Khizar Hayat, Shan Xue, and Jian Yang
IJCAI 2023
Bayesian Federated Learning: A Survey
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Longbing Cao, Hui Chen, Xuhui Fan, Joao Gama, Yew-Soon Ong, and Vipin Kumar
IJCAI 2023
OptIForest: Optimal Isolation Forest for Anomaly Detection
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Haolong Xiang, Xuyun Zhang, Hongsheng Hu, Lianyong Qi, Wanchun Dou, Mark Dras, Amin Beheshti, and Xiaolong Xu
Intelligent User Interfaces 2023
Capturing and predicting user frustration to support a smart operating system
Goodarzy, S., Keller, E., Nazari, M., Rozner, E., Han, R., Dras, M., Lee, Y. C. & Richards, D.
KDD 2023
Towards graph-level anomaly detection via deep evolutionary mapping
Xiaoxiao Ma, Jia Wu, Jian Yang, Michael Sheng
NeurIPS 2023
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective
Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu
NeurIPS 2023
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting
Kun Yi, Qi Zhang, Wei Fan, Hui He, Pengyang Wang, Shoujin Wang, Ning An, Defu Lian, Longbing Cao et al.
NeurIPS 2023
R-divergence for Estimating Model-oriented Distribution Discrepancy
Zhilin Zhao, Longbing Cao
WSDM 2023
Minimum entropy principle guided graph neural networks
Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z Sheng, Hao Peng, Angsheng Li, Shan Xue, Jianlin Su
WSDM 2023
Mining User-aware Multi-Relations for Fake News Detection in Large Scale Online Social Networks
Xing Su, Jian Yang, Jia Wu, Yuchen Zhang
Faculty of Arts
Research grants
Exploring and Designing Urban Density. Neurourbanism as a Novel Approach in Global Health
2023 -2025
Hipolio, I et al.
A global Artificial Intelligence (AI) Curriculum Framework (K-12) and supporting teacher and student resources
2023
Iain Hayes and Anne Forbes
Interacting with smart environments to promote wellbeing: an active inference account
2022 - 2023
Hipolito, I.
Journal papers
Frontiers in NeuroRobotics
Editorial: Bio A.I. - from embodied cognition to enactive robotics
Hipolito, I et al.
Frontiers in NeuroRobotics
Enactive artificial intelligence: subverting gender norms in human-robot interaction
Hipolito, I et al.
Transactions on Machine Learning Research
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
Millière, R et al.
Faculty of Medicine, Health and Human Sciences
Journal papers
Cancers (Basel)
Radiomics and Machine Learning in Brain Tumors and Their Habitat: A Systematic Review
Tabassum M, Suman AA, Suero Molina E, Pan E, Di Ieva A, Liu S.
Computational and Structural Biotechnology Journal
Thresholding Gini variable importance with a single-trained random forest: An empirical Bayes approach
Dunne R, Reguant R, Ramarao-Milne P, Szul P, Sng LMF, Lundberg M, Twine NA, Bauer DC.
International Journal of Molecular Sciences
Blood-Based Transcriptomic Biomarkers Are Predictive of Neurodegeneration Rather Than Alzheimer's Disease
Shvetcov A, Thomson S, Spathos J, Cho AN, Wilkins HM et al.
Journal of Thoracic Oncology
Current and Future Perspectives on Computed Tomography Screening for Lung Cancer: A Roadmap From 2023 to 2027 From the International Association for the Study of Lung Cancer
Lam S, Bai C, Baldwin DR, Chen Y, Connolly C et al.
Nature Communications
DeepSlice: rapid fully automatic registration of mouse brain imaging to a volumetric atlas
Carey, H., M. Pegios, L. Martin, C. Saleeba, A. J. Turner, N. A. Everett, I. E. Bjerke et al.
Scientific Reports
Novel Alzheimer's disease genes and epistasis identified using machine learning GWAS platform
Lundberg M, Sng LMF, Szul P, Dunne R, Bayat A, Burnham SC, Bauer DC, Twine NA.
Macquarie Business School
Research grants
A research-based guiding framework encompassing relevant principles of responsible artificial intelligence
Direct funding
2023
Babak Abedin, Niloufer Selvadurai, Amin Beheshti, Olivera Marjanovic, Kristine Dery
Journal papers
Journal of Business Ethics
The Ethical Implications of Artificial Intelligence (AI) For Meaningful Work
Bankins, S. & Formosa, P.
Journal of Organizational Behavior
A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice
Bankins, S., Ocampo, A-C, Marrone, M., Restubog, SLDR, Woo, SE
