Publications
Root Cause Explanation of Outliers under Noisy Mechanisms
P Nguyen, T Tran, S Gupta, T Nguyen, S Venkatesh
(2024), Vol. 38, pp. 20508-20515, Proceedings of the AAAI Conference on Artificial Intelligence, E1
Memory-Augmented Theory of Mind Network
D Nguyen, P Nguyen, H Le, K Do, S Venkatesh, T Tran
(2023), Vol. 37, pp. 11630-11637, Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023, E1
Differentiable Bayesian Structure Learning with Acyclicity Assurance
Q Tran, P Nguyen, B Duong, T Nguyen
(2023), pp. 598-607, Proceedings - IEEE International Conference on Data Mining, ICDM, E1
Machine Learning-Aided Exploration of Ultrahard Materials
S Tawfik, P Nguyen, T Tran, T Walsh, S Venkatesh
(2022), Vol. 126, pp. 15952-15961, Journal of Physical Chemistry C, Washington, D.C., C1
EvSys: A Relational Dynamic System for Sparse Irregular Clinical Events
D Nguyen, P Nguyen, T Tran
(2022), Vol. 1013, pp. 267-279, W3PHAI 2021: Proceedings of the 5th International Workshop on Health Intelligence. AI for Disease Surveillance and Pandemic Intelligence Intelligent Disease Detection in Action, Virtual event, E1
Learning Theory of Mind via Dynamic Traits Attribution
D Nguyen, P Nguyen, H Le, K Do, S Venkatesh, T Tran
(2022), Vol. 2, pp. 954-962, AAMAS 2022 : Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems 2022, Auckland, N.Z., E1
Learning to Transfer Role Assignment Across Team Sizes
D Nguyen, P Nguyen, S Venkatesh, T Tran
(2022), Vol. 2, pp. 963-971, AAMAS 2022 : Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, Auckland, New Zealand, E1
Knowledge Distillation with Distribution Mismatch
D Nguyen, S Gupta, T Nguyen, S Rana, P Nguyen, T Tran, K Le, S Ryan, S Venkatesh
(2021), Vol. 12976, pp. 250-265, ECML PKDD 2021 : Machine Learning and Knowledge Discovery in Databases. Research Track, Bilbao, Spain, E1
Fast Conditional Network Compression Using Bayesian HyperNetworks
P Nguyen, T Tran, K Le, S Gupta, S Rana, D Nguyen, T Nguyen, S Ryan, S Venkatesh
(2021), Vol. 12977, pp. 330-345, ECML PKDD 2021 : Machine Learning and Knowledge Discovery in Databases. Research Track, Bilbao, Spain, E1
Variational Hyper-encoding Networks
P Nguyen, T Tran, S Gupta, S Rana, H Dam, S Venkatesh
(2021), Vol. 12976, pp. 100-115, ECML PKDD 2021 : Machine Learning and Knowledge Discovery in Databases. Research Track, Bilbao, Spain, E1
Unsupervised Anomaly Detection on Temporal Multiway Data
D Nguyen, P Nguyen, K Do, S Rana, S Gupta, T Tran
(2020), pp. 1059-1066, SSCI 2020 : Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, Canberra, Australian Capital Territory, E1
Incomplete conditional density estimation for fast materials discovery
P Nguyen, T Tran, S Gupta, S Rana, M Barnett, S Venkatesh
(2019), pp. 549-557, 2019 SIAM : Proceedings of the 2019 SIAM International Conference on Data Mining, Calgary, Alta., E1
EEG-Based Person Authentication with Variational Universal Background Model
H Tran, D Tran, W Ma, P Nguyen
(2019), Vol. 11928 LNCS, pp. 418-432, Proceedings of the 13th International Conference on Network and System Security, 2019, Sapporo, Japan, E1
vUBM: A variational universal background model for EEG-based person authentication
H Tran, D Tran, W Ma, P Nguyen
(2019), Vol. 1142 CCIS, pp. 478-485, ICONIP 2019 : Proceedings of the 26th International Conference on Neural Information Processing, Sydney, N.S.W., E1
Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records
P Nguyen, T Tran, S Venkatesh
(2018), 2018 International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, Brazil, E1
Deepr: A Convolutional Net for Medical Records
P Nguyen, T Tran, N Wickramasinghe, S Venkatesh
(2017), Vol. 21, pp. 22-30, IEEE Journal of Biomedical and Health Informatics, United States, C1
Deep learning to attend to risk in ICU
P Nguyen, T Tran, S Venkatesh
(2017), Vol. 1891, pp. 25-29, KDH 2017 : Proceedings of the 2nd International Workshop on Knowledge Discovery in Healthcare Data 2017, Melbourne, Victoria, E1
P Nguyen, D Tran
(2015), Vol. 9077, pp. 277-288, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), John Neumann Inst, Ho Chi Minh City, VIETNAM, E1-1
EEG-based user authentication using artifacts
T Pham, W Ma, D Tran, P Nguyen, D Phung
(2014), Vol. 299, pp. 343-353, SOCO’14-CISIS’14-ICEUTE’14 : Proceedings of the International Joint Conference SOCO’14-CISIS’14-ICEUTE’14, Bilbao, Spain, E1-1
Multi-factor EEG-based user authentication
Pham Tien, Wanli Ma, Tran Dat, Thanh Nguyen, Phung Dinh
(2014), pp. 4029-4034, IJCNN 2014 : Proceedings of the 2014 International Joint Conference on Neural Networks, Beijing, China, E1-1
Investigating the impacts of epilepsy on EEG-based person identification systems
D Phung, D Tran, W Ma, P Nguyen, T Pham
(2014), pp. 3644-3648, IJCNN 2014 : Proceedings of the 2014 International Joint Conference on Neural Networks, Beijing, China, E1-1
A novel sphere-based maximum margin classification method
Thanh Nguyen, Tran Dat, Xu Huang, Wanli Ma
(2014), pp. 620-624, ICPR 2014 : Proceedings of the 2014 22nd International Conference on Pattern Recognition, Stockholm, Sweden, E1-1
Using shannon entropy as EEG signal feature for fast person identification
D Phung, D Tran, W Ma, P Nguyen, T Pham
(2014), pp. 413-418, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014 - Proceedings, Bruges, Belgium, E1-1
T Nguyen, T Nguyen, K Dang, P Nguyen
(2014), Vol. 282 LNEE, pp. 181-189, Lecture Notes in Electrical Engineering, E1-1
Proximity multi-sphere support vector clustering
T Le, D Tran, T Nguyen, W Ma, D Sharma
(2013), Vol. 22, pp. 1309-1319, Neural computing and applications, London, Eng., C1-1
Motor imagery EEG-based person verification
P Nguyen, D Tran, X Huang, W Ma
(2013), Vol. 7903, pp. 430-438, IWANN 2013 : Proceedings of the 12th International Work-Conference on Artificial Neural Networks 2013, Puerto de la Cruz, Tenerife, Spain, E1-1
Parallel support vector data description
P Nguyen, D Tran, X Huang, W Ma
(2013), Vol. 7902, pp. 280-290, IWANN 2013 : Proceedings of the 12th International Work-Conference on Artificial Neural Networks 2013, Puerto de la Cruz, Tenerife, Spain, E1-1
Age and gender classification using EEG paralinguistic features
P Nguyen, D Tran, X Huang, W Ma
(2013), pp. 1295-1298, NER 2013 : 6th International IEEE/EMBS Conference on Neural Engineering, San Diego, California, E1-1
EEG-based person verification using multi-sphere SVDD and UBM
P Nguyen, D Tran, T Le, X Huang, W Ma
(2013), Vol. 7818, pp. 289-300, PAKDD 2013 : Proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Gold Coast, Qld., E1-1
A study on the feasibility of using EEG signals for authentication purpose
T Pham, W Ma, D Tran, P Nguyen, D Phung
(2013), Vol. 8227 LNCS, pp. 562-569, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1
EEG-based age and gender recognition using tensor decomposition and speech features
P Nguyen, D Tran, T Vo, X Huang, W Ma, D Phung
(2013), Vol. 8227 LNCS, pp. 632-639, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1
EEG-based user authentication in multilevel security systems
T Pham, W Ma, D Tran, P Nguyen, D Phung
(2013), Vol. 8347 LNAI, pp. 513-523, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1
Experiments on synchronous nonlinear features for 2-class NIRS-based motor imagery problem
T Hoang, D Tran, K Truong, P Nguyen, T Vo Van, X Huang, D Sharma
(2013), Vol. 40 IFMBE, pp. 8-12, IFMBE Proceedings, E1-1
High order moment features for NIRS-based classification problems
T Hoang, D Tran, K Truong, P Nguyen, T Vo Van, X Huang, D Sharma
(2013), Vol. 40 IFMBE, pp. 4-7, IFMBE Proceedings, E1-1
Multi-sphere support vector data description for brain-computer interface
P Nguyen, D Tran, T Le, T Hoang, D Sharma
(2012), pp. 318-321, 2012 4th International Conference on Communications and Electronics, ICCE 2012, Hue, VIETNAM, E1-1
A proposed feature extraction method for EEG-based person identification
P Nguyen, D Tran, X Huang, D Sharma
(2012), Vol. 2, pp. 826-831, Proceedings of the 2012 International Conference on Artificial Intelligence, ICAI 2012, Las Vegas, Nevada, E1-1
Multiple distribution data description learning method for novelty detection
T Le, D Tran, P Nguyen, W Ma, D Sharma
(2011), pp. 2321-2326, IJCNN 2011 : Proceedings of the International Joint Conference on Neural Networks, San Jose, CA, E1-1
Automatic classification of speaker characteristics
P Nguyen, D Tran, X Huang, D Sharma
(2010), pp. 147-152, ICCE 2010 - 3rd International Conference on Communications and Electronics, Hanoi Univ Sci & Technol, Nha Trang, VIETNAM, E1-1
Automatic speech-based classification of gender, age and accent
P Nguyen, D Tran, X Huang, D Sharma
(2010), Vol. 6232, pp. 288-299, PKAW 2010 : Proceedings of the Pacific Rim Knowledge Acquisition Workshop : Knowledge Management and Acquisition for Smart Systems and Services, Daegu, South Korea, E1-1
Australian accent-based speaker classification
P Nguyen, D Tran, X Huang, D Sharma
(2010), pp. 416-419, 3rd International Conference on Knowledge Discovery and Data Mining, WKDD 2010, Phuket, THAILAND, E1-1
Fuzzy feature weighting techniques for vector quantisation
D Tran, W Ma, D Sharma, P Nguyen
(2010), WCCI 2010 : Proceedings of the 2010 IEEE World Congress on Computational Intelligence, Barcelona, Spain, E1-1
Fuzzy support vector machines for age and gender classification
P Nguyen, T Le, D Tran, X Huang, D Sharma
(2010), pp. 2806-2809, INTERSPEECH 2010 : Proceedings of the 11th Annual Conference of the International Speech Communication Association, Makuhari, Chiba, Japan, E1-1
Funded Projects at Deakin
Other Public Sector Funding
Al Algorithmic Assurance
Prof Svetha Venkatesh, Prof Sunil Gupta, A/Prof Santu Rana, Prof Truyen Tran, Dr Anh Cat Le Ngo, Dr Phuoc Nguyen, Mr Stephan Jacobs, Dr Dang Nguyen
Department of Defence
- 2021: $248,140
- 2020: $208,820
- 2019: $80,640
In relation to Assuring an off-the-shelf AI algorithm
Prof Sunil Gupta, Prof Truyen Tran, A/Prof Santu Rana, Prof Svetha Venkatesh, Dr Phuoc Nguyen, Mr Tiep-Trong Nguyen, Mr Stephan Jacobs
Defence Science and Technology Group - Department of Defence
- 2022: $85,000
- 2021: $168,034
Machine learning for rapid materials design and assessment.
A/Prof Shannon Ryan, Dr Phuoc Nguyen
Department of Defence
- 2024: $70,000
- 2023: $220,395
- 2022: $220,000
Supervisions
Xuan Duc Nguyen
Thesis entitled: Learning Dependency Structures Through Time Using Neural Networks
Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins
Dung Nguyen
Thesis entitled: Towards Social Artificial Intelligence: Roles and Theory of Mind
Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins