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).

Keywords

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

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2018 2020

Research Output 2009 2019

GoGP: scalable geometric-based Gaussian process for online regression

Le, T., Nguyen, K., Nguyen, V., Nguyen, T. D. & Phung, D., 2019, (Accepted/In press) In : Knowledge and Information Systems. 30 p.

Research output: Contribution to journalArticleResearchpeer-review

Bayesian Multi-Hyperplane Machine for pattern recognition

Nguyen, K., Le, T., Dinh, T. N. & 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

Geometric enclosing networks

Le, T., Vu, H., Nguyen, T. D. & Phung, D., 2018, Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018. Lang, J. (ed.). California USA: International Joint Conferences on Artificial Intelligence, p. 2355-2361 7 p.

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

Open Access
File

Jointly predicting affective and mental health scores using deep neural networks of visual cues on the web

Nguyen, H., Nguyen, V., Nguyen, T., Larsen, M. E., O’Dea, B., Nguyen, D. T., Le, T., Phung, D., Venkatesh, S. & Christensen, H., 2018, Web Information Systems Engineering – WISE 2018: 19th International Conference Dubai, United Arab Emirates, November 12–15, 2018 Proceedings, Part II. Hacid, H., Cellary, W., Wang, H., Paik, H-Y. & Zhou, R. (eds.). Cham Switzerland: Springer, p. 100-110 11 p. (Lecture Notes in Computer Science; vol. 11234 ).

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

MGAN: training generative adversarial nets with multiple generators

Hoang, Q., Nguyen, T. D., Le, T. & Phung, D., 2018, 6th International Conference on Learning Representations, ICLR 2018. Murray, I., Ranzato, MA. & Vinyals, O. (eds.). Amherst MA USA: OpenReview, 24 p.

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

Open Access
File

Prizes

The first prize of Imagine Cup 2010 Australia round

Trung Le (Recipient), 2010

Prize: Prize (including medals and awards)