Research interests
Data Mining, Machine Learning, Representation Learning, Bayesian Optimization, Health Informatics
Awards
- Best Student Machine Learning Paper Runner Up Award, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Ireland, 09/2018
- Certificate of Outstanding Reviewer, Knowledge-Based Systems, Elsevier, 05/2018
- Student Travel Award, The SIAM International Conference on Data Mining, USA, 05/2018
- Student Travel Award, The 29th Australasian Joint Conference on Artificial Intelligence, Australia, 12/2016
- Postgraduate Research Scholarship, Deakin University, Australia, 05/2015
Publications
D Nguyen, C Wang, Y Shen, Y Zeng
(2023), pp. 334-337, RecSys '23 : Proceedings of the 17th ACM Conference on Recommender Systems, Singapore, E1
K Nguyen, D Nguyen, N Ho
(2023), Vol. 202, pp. 26008-26030, Proceedings of the 40 th International Conference on Machine Learning, Honolulu, Hawaii, E1-1
On Cross-Layer Alignment for Model Fusion of Heterogeneous Neural Networks
D Nguyen, T Nguyen, K Nguyen, D Phung, H Bui, N Ho
(2023), pp. 1-5, ICASSP 2023 : Proceedings of the 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Rhodes Island, Greece, E1-1
Verification of integrity of deployed deep learning models using Bayesian Optimization
D Kuttichira, S Gupta, D Nguyen, S Rana, S Venkatesh
(2022), Vol. 241, pp. 1-12, Knowledge-Based Systems, Amsterdam, The Netherlands, C1
Towards Effective and Robust Neural Trojan Defenses via Input Filtering
K Do, H Harikumar, H Le, D Nguyen, T Tran, S Rana, D Nguyen, W Susilo, S Venkatesh
(2022), Vol. 13665 LNCS, pp. 283-300, ECCV 2022 : Proceedings of the 17th European Conference on Computer Vision, Tel Aviv, Israel, E1
Black-Box Few-Shot Knowledge Distillation
D Nguyen, S Gupta, K Do, S Venkatesh
(2022), Vol. 13681, pp. 196-211, ECCV 2022 : Proceedings of the 17th European Conference on Computer Vision, Tel Aviv, Israel, E1
Efficient Classification with Counterfactual Reasoning and Active Learning
A Mohammed, D Nguyen, B Duong, T Nguyen
(2022), Vol. 13757, pp. 27-38, ACIIDS 2022 : Proceedings of the 14th Asian Conference on Intelligent Information and Database Systems, Ho Chi Minh City, Vietnam, E1
K Do, H Le, D Nguyen, D Nguyen, H Harikumar, T Tran, S Rana, S Venkatesh
(2022), Vol. 35, pp. 1-19, NeurIPS 2022 : Proceedings of the 36th Neural Information Processing Systems Conference 2022, New Orleans, La., E1
Fairness improvement for black-box classifiers with Gaussian process
D Nguyen, S Gupta, S Rana, A Shilton, S Venkatesh
(2021), Vol. 576, pp. 542-556, Information Sciences, C1
Con2Vec: Learning embedding representations for contrast sets
D Nguyen, W Luo, B Vo, L Nguyen, W Pedrycz
(2021), Vol. 229, Knowledge-Based Systems, C1
Adaptive cost-aware Bayesian optimization[Formula presented]
P Luong, D Nguyen, S Gupta, S Rana, S Venkatesh
(2021), Vol. 232, Knowledge-Based Systems, C1
Bayesian Optimization with Missing Inputs
P Luong, D Nguyen, S Gupta, S Rana, S Venkatesh
(2021), Vol. 12458, pp. 691-706, ECML PKDD 2020 : Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Belgium, Ghent, E1
Factor screening using Bayesian active learning and gaussian process meta-modelling
C Li, D Nguyen, S Rana, S Gupta, A Gill, S Venkatesh
(2021), pp. 3288-3295, ICPR 2020 : Proceedings of the 25th International Conference on Pattern Recognition, Online from Milan, Italy, 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
D Nguyen, W Luo, B Vo, W Pedrycz
(2020), Vol. 161, Expert Systems with Applications, C1
DeepCoDA: Personalized interpretability for compositional health data
T Quinn, D Nguyen, S Rana, S Gupta, S Venkatesh
(2020), Vol. PartF168147-11, pp. 7833-7842, ICML 2020 : Proceedings of the 37th International Conference on Machine Learning, Online, E1
Bayesian optimization for categorical and category-specific continuous inputs
D Nguyen, S Gupta, S Rana, A Shilton, S Venkatesh
(2020), pp. 5256-5263, AAAI-20 : Proceedings of the Thirty-fourth AAAI Conference on Artificial Intelligence, New York, N.Y., E1
Efficient Bayesian Function Optimization of Evolving Material Manufacturing Processes
D Rubín De Celis Leal, D Nguyen, P Vellanki, C Li, S Rana, N Thompson, S Gupta, K Pringle, S Subianto, S Venkatesh, T Slezak, M Height, A Sutti
(2019), Vol. 4, pp. 20571-20578, ACS Omega, United States, C1
Sqn2Vec: learning sequence representation via sequential patterns with a gap constraint
D Nguyen, W Luo, T Nguyen, S Venkatesh, D Phung
(2019), Vol. 11052, pp. 569-584, ECML-PKDD 2018 : Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Dublin, Ireland, E1
Bayesian Optimization with Discrete Variables
P Luong, S Gupta, D Nguyen, S Rana, S Venkatesh
(2019), Vol. 11919, pp. 473-484, AI 2019 : Advances in Artificial Intelligence : Proceedings of the 32nd Australian Joint Conference, Adelaide, South Australia, E1
Detection of Compromised Models Using Bayesian Optimization
D Kuttichira, S Gupta, D Nguyen, S Rana, S Venkatesh
(2019), Vol. 11919, pp. 485-496, AI 2019 : Advances in Artificial Intelligence : Proceedings of the 32nd Australian Joint Conference, Adelaide, South Australia, E1
Effective Identification of Similar Patients Through Sequential Matching over ICD Code Embedding
D Nguyen, W Luo, S Venkatesh, D Phung
(2018), Vol. 42, Journal of Medical Systems, United States, C1
D Nguyen, W Luo, D Phung, S Venkatesh
(2018), Vol. 161, pp. 313-328, Knowledge-Based Systems, C1
Learning graph representation via frequent subgraphs
D Nguyen, W Luo, T Nguyen, S Venkatesh, D Phung
(2018), Vol. PRDT18, pp. 306-314, SDM 2018 : Proceedings of the SIAM International Conference on Data Mining, San Diego, Calif., E1
Trans2Vec: Learning transaction embedding via items and frequent itemsets
D Nguyen, T Nguyen, W Luo, S Venkatesh
(2018), Vol. 10939, pp. 361-372, PAKDD 2018 : Advances in Knowledge Discovery and Data Mining : Proceedings of 22nd Pacific-Asia Conference, Melbourne, Victoria, E1
D Nguyen, B Vo, D Vu
(2016), Vol. 32, pp. 2313-2327, Quality and Reliability Engineering International, C1
Efficient mining of class association rules with the itemset constraint
D Nguyen, L Nguyen, B Vo, W Pedrycz
(2016), Vol. 103, pp. 73-88, Knowledge-Based Systems, C1
Exceptional contrast set mining: moving beyond the deluge of the obvious
D Nguyen, W Luo, D Phung, S Venkatesh
(2016), Vol. LNAI 9992, pp. 455-468, AI 2016 : Advances in artificial intelligence : Proceedings of the 29th Australian Joint Conference, Hobart, Tas., E1
Understanding toxicities and complications of cancer treatment: A data mining approach
D Nguyen, D Nguyen, W Luo, W Luo, D Phung, D Phung, S Venkatesh, S Venkatesh
(2015), Vol. 9457, pp. 431-443, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), B1
A parallel algorithm for frequent subgraph mining
B Vo, D Nguyen, T Nguyen
(2015), Vol. 358, pp. 163-173, Advances in Intelligent Systems and Computing, Metz, FRANCE, C1
A novel method for constrained class association rule mining
D Nguyen, L Nguyen, B Vo, T Hong
(2015), Vol. 320, pp. 107-125, Information Sciences, Amsterdam, The Netherlands, C1
CCAR: An efficient method for mining class association rules with itemset constraints
D Nguyen, B Vo, B Le
(2015), Vol. 37, pp. 115-124, Engineering Applications of Artificial Intelligence, Amsterdam, The Netherlands, C1
Efficient strategies for parallel mining class association rules
D Nguyen, B Vo, B Le
(2014), Vol. 41, pp. 4716-4729, Expert Systems with Applications, C1-1
Mining class-association rules with constraints
D Nguyen, B Vo
(2014), Vol. 245, pp. 307-318, Advances in Intelligent Systems and Computing, Hanoi, VIETNAM, E1-1
A novel method for mining class association rules with itemset constraints
D Nguyen, B Vo, B Le
(2014), Vol. 8733, pp. 494-503, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Seoul, SOUTH KOREA, 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
Supervisions
Deepthi Praveenlal Kuttichira
Thesis entitled: Tackling Practical Challenges in Neural Network Model Deployment
Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins
Huu Phuc Luong
Thesis entitled: Bayesian Optimization for Discrete, Missing and Cost-sensitive Inputs
Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins