Trung Le

Dr

20092020
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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).

Research area keywords

  • Deep Generative Models
  • Optimisation for Machine Learning
  • Kernel Methods
  • Online Learning
  • Deep Learning for Cyber Security
  • Anomaly Detection

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Projects 2018 2020

Towards Robust Learning Systems via Amortized Optimization and Domain Adaptation

Le, T., Phung, D., Xiang, Y., Zhang, J., Erfani, S., Rubinstein, B., Leckie, C., Nock, R. & Knight, K.

15/04/1914/04/20

Project: Research

Deep Learning for Cyber (Data61 CRP 38)

Phung, D., Le, T., Xiang, Y., Zhang, J., Wen, S., Murray, T. & Nock, R.

15/06/1830/06/20

Project: Research

Research Output 2009 2019

GoGP: scalable geometric-based Gaussian process for online regression

Le, T., Nguyen, K., Nguyen, V., Nguyen, T. D. & Phung, D., 20 Jul 2019, In : Knowledge and Information Systems. p. 197-226 30 p.

Research output: Contribution to journalArticleResearchpeer-review

Maximal divergence sequential auto-encoder for binary software vulnerability detection*

Le, T., Nguyen, T., Le, T., Phung, D., Montague, P., De Vel, O. & Qu, L., 2019, The Seventh International Conference on Learning Representations. Levine, S., Livescu, K. & Mohamed, S. (eds.). La Jolla CA USA: OpenReview, 15 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Robust anomaly detection in videos using multilevel representations

Vu, H., Nguyen, T. D., Le, T., Luo, W. & Phung, D., 2019, Proceedings of AAAI19-Thirty-Third AAAI conference on Artificial Intelligence. Van Hentenryck, P. & Zhou, Z-H. (eds.). Palo Alto CA USA: Association for the Advancement of Artificial Intelligence (AAAI), p. 5216-5223 8 p. 2579. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 33, no. 1).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Batch Normalized Deep Boltzmann Machines

Vu, H., Nguyen, T. D., Le, T., Luo, W. & Phung, D., 2018, Proceedings of Asian Conference on Machine Learning 2018. Zhu, J. & Takeuchi, I. (eds.). USA: Proceedings of Machine Learning Research (PMLR), p. 359-374 16 p. (Proceedings of Machine Learning Research; vol. 95).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Bayesian Multi-Hyperplane Machine for pattern recognition

Nguyen, K., Le, T., Nguyen, T. D. & Phung, D., 2018, 2018 24th International Conference on Pattern Recognition (ICPR): Aug. 20 2018 to Aug. 24 2018 Beijing, China. Liu, C-L., Chellappa, R. & Pietikäinen, M. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 609-614 6 p. 8545139

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

Prizes

The first prize of Imagine Cup 2010 Australia round

Trung Le (Recipient), 2010

Prize: Prize (including medals and awards)