Projects per year
Personal profile
Biography
My research involves both theoretical and practical aspects. More specifically, this focuses on deep generative models, kernel methods, optimization in machine learning and Bayesian inference whose gained theories can be applied to supervised learning, semi-supervised learning, adversarial learning, online learning, anomaly detection, and cyber security. I have published in the top-notch conferences and high quality journals in machine learning, artificial intelligence, and data mining including NIPS, ICLR, AISTATS, UAI, IJCAI, ICDM and Journal of Machine Learning Research (JMLR).
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Computer Science, Doctor of Philosophy, University of Canberra
Award Date: 27 Mar 2013
Research area keywords
- Deep Generative Models
- Optimisation for Machine Learning
- Kernel Methods
- Online Learning
- Deep Learning for Cyber Security
- Anomaly Detection
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Generalizing Model Adaptation with Geometry: Applications in Model Fine-tuning, Editing, and Personalized AI
Le, T. (Primary Chief Investigator (PCI)) & Tafazzoli Harandi, M. (Chief Investigator (CI))
15/06/25 → 14/06/27
Project: Research
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Can Machines Unlearn? : Can Machines Unlearn? Toward Next-Generation Safe Artificial Intelligence
Phung, D. (Primary Chief Investigator (PCI)), Tafazzoli Harandi, M. (Chief Investigator (CI)), Le, T. (Chief Investigator (CI)), Zhang, J. (Chief Investigator (CI)) & Cai, J. (Chief Investigator (CI))
ARC - Australian Research Council
30/05/25 → 29/05/29
Project: Research
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TMLGenAI: Trustworthy Generative AI: Towards Safe and Aligned Foundation Models
Phung, D. (Primary Chief Investigator (PCI)), Vu, T. (Chief Investigator (CI)), Qu, L. (Chief Investigator (CI)), Le, T. (Chief Investigator (CI)), Haffari, R. (Chief Investigator (CI)), Webb, G. (Chief Investigator (CI)), Nicholson, A. (Chief Investigator (CI)), Ke, Q. (Chief Investigator (CI)), Cai, J. (Chief Investigator (CI)) & Bui, T. (Chief Investigator (CI))
11/06/24 → 10/07/26
Project: Research
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Robust Machine Learning: Data Efficient and Geometric Optimal Transport for Robust Machine Learning
Le, T. (Primary Chief Investigator (PCI)), Phung, D. (Chief Investigator (CI)), Pham, T. D. (Chief Investigator (CI)), Tran, T. (Chief Investigator (CI)) & Bui, H. (Chief Investigator (CI))
30/09/23 → 29/09/26
Project: Research
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Exploiting Geometries of Learning for Fast, Adaptive and Robust AI
Phung, D. (Primary Chief Investigator (PCI)), Tafazzoli Harandi, M. (Chief Investigator (CI)), Hartley, R. I. (Chief Investigator (CI)), Le, T. (Chief Investigator (CI)) & Koniusz, P. (Partner Investigator (PI))
ARC - Australian Research Council
8/05/23 → 7/05/26
Project: Research
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Fantastic Targets for Concept Erasure in Diffusion Models and Where to Find Them
Bui, A. T., Vu, T., Vuong, L., Le, T., Montague, P., Abraham, T., Kim, J. & Phung, D., 2025, The International Conference on Learning Representations 2025. LeCun, Y. (ed.). Portland OR USA: OpenReview, 43 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile -
HVQ-VAE: Variational auto-encoder with hyperbolic vector quantization
Chen, S., Fang, P., Harandi, M., Le, T., Cai, J. & Phung, D., Jul 2025, In: Computer Vision and Image Understanding. 258, 10 p., 104392.Research output: Contribution to journal › Article › Research › peer-review
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MetaAug: Meta-Data Augmentation for Post-Training Quantization
Pham, C., Anh Dung, H., Nguyen, C. C., Le, T., Phung, D., Carneiro, G. & Do, T.-T., 2025, Computer Vision – ECCV 2024, 18th European Conference Milan, Italy, September 29–October 4, 2024 Proceedings, Part XXVII. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Cham Switzerland: European Conference On Computer Vision, p. 236–252 17 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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AIBugHunter: A Practical tool for predicting, classifying and repairing software vulnerabilities
Fu, M., Tantithamthavorn, C., Le, T., Kume, Y., Nguyen, V., Phung, D. & Grundy, J., 2024, In: Empirical Software Engineering. 29, 1, 33 p., 4.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile33 Citations (Scopus) -
Deep Domain Adaptation With Max-Margin Principle for Cross-Project Imbalanced Software Vulnerability Detection
Nguyen, V., Le, T., Tantithamthavorn, C., Grundy, J. & Phung, D., 27 Jun 2024, In: ACM Transactions on Software Engineering and Methodology. 33, 6, 34 p., 162.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile4 Citations (Scopus)
Prizes
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The best student paper award at KDD 2023
Le, T. (Recipient), 20 Sept 2023
Prize: Prize (including medals and awards)
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The first prize of Imagine Cup 2010 Australia round
Le, T. (Recipient), 2010
Prize: Prize (including medals and awards)