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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Exploiting Geometries of Learning for Fast, Adaptive and Robust AI
Phung, D., Tafazzoli Harandi, M., Hartley, R., Le, T. & Koniusz, P.
Australian Research Council (ARC)
8/05/23 → 7/05/26
Project: Research
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Towards Robust Learning Systems (Extension 23-24): Towards Robust Learning Systems (Extension 23-24)
Phung, D., Le, T., Xiang, Y., Zhang, J., Erfani, S., Leckie, C. & Rubinstein, B.
Department of Defence (Australia)
15/04/23 → 15/10/25
Project: Research
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Optimal Transport Theory for Machine Learning with Limited and Less Labels
Asian Office of Aerospace Research And Development (AOARD)
9/09/21 → 8/09/23
Project: Research
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Adversarial local distribution regularization for knowledge distillation
Nguyen-Duc, T., Le, T., Zhao, H., Cai, J. & Phung, D., 2023, Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023. Mortensen, E. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 4670-4679 10 p. (Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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A unified Wasserstein distributional robustness framework for adversarial training
Bui, T. A., Le, T. & Phung, D., 2022, International on Learning Representation (ICLR) 2022. LeCun, Y. (ed.). USA: OpenReview, 25 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile9 Citations (Scopus) -
Cycle class consistency with distributional optimal transport and knowledge distillation for unsupervised domain adaptation
Nguyen, T., Nguyen, V., Le, T., Zhao, H., Tran, Q. H. & Phung, D., 2022, Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, UAI 2022. Cussens, J. & Zhang, K. (eds.). London UK: Proceedings of Machine Learning Research (PMLR), Vol. 180. p. 1519-1529 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile1 Citation (Scopus) -
Improving kernel online learning with a snapshot memory
Le, T., Nguyen, K. & Phung, D., Mar 2022, In: Machine Learning. 111, p. 997–1018 22 p.Research output: Contribution to journal › Article › Research › peer-review
2 Citations (Scopus) -
On global-view based defense via adversarial attack and defense risk guaranteed bounds
Le, T., Bui, T., Le, T., Zhao, H., Montague, P., Tran, Q. & Phung, D., 2022, Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS) 2022. Camps-Valls, G., J. R. Ruiz, F. & Valera, I. (eds.). London UK: Proceedings of Machine Learning Research (PMLR), Vol. 151. p. 11438-11460 23 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile
Prizes
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The first prize of Imagine Cup 2010 Australia round
Le, Trung (Recipient), 2010
Prize: Prize (including medals and awards)