Trung Le

Dr

20092020
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Research Output 2009 2019

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

Robust anomaly detection in videos using multilevel representations

Vu, H., Nguyen, T. D., Le, T., Luo, W. & Phung, D., 2019, Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19). 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
2018

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

Clustering Induced Kernel Learning

Nguyen, K., Dam, N., Le, T., Nguyen, T. D. & Phung, D., 2018, Proceedings of Asian Conference on Machine Learning 2018. Zhu, J. & Takeuchi, I. (eds.). USA: Proceedings of Machine Learning Research (PMLR), p. 129-144 16 p. (Proceedings of Machine Learning Research; vol. 95).

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

Open Access
File

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

Robust Bayesian kernel machine via Stein variational gradient descent for big data

Nguyen, K., Le, T., Nguyen, T. D., Phung, D. & Webb, G. I., 19 Jul 2018, KDD'18: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Lin, C-J. & Xiong, H. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 2003-2011 9 p.

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

2017

Approximation vector machines for large-scale online learning

Le, T., Nguyen, T. D., Nguyen, V. & Phung, D., 1 Nov 2017, In : Journal of Machine Learning Research. 18, p. 1-55 55 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File

Discriminative Bayesian nonparametric clustering

Nguyen, V., Phung, D., Le, T. & Bui, H., 1 Jan 2017, Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17). Sierra, C. (ed.). California USA: International Joint Conferences on Artificial Intelligence, p. 2550-2556 7 p.

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

Open Access
File

Dual discriminator generative adversarial nets

Nguyen, T. D., Le, T., Vu, H. & Phung, D., 2017, Advances in Neural Information Processing Systems 30 (NIPS 2017). Guyon, I., Luxburg, U. V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S. & Garnett, R. (eds.). Maryland Heights MO USA: Morgan Kaufmann Publishers, Vol. 30. 11 p. (Advances in Neural Information Processing Systems).

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

Open Access
File

GoGP: fast online regression with Gaussian processes

Le, T., Nguyen, K., Nguyen, V., Nguyen, T. D. & Phung, D., 15 Dec 2017, Proceedings - 17th IEEE International Conference on Data Mining, ICDM 2017. Raghavan, V., Aluru, S., Karypis, G., Miele, L. & Wu, X. (eds.). Los Alamitos CA USA: IEEE, Institute of Electrical and Electronics Engineers, p. 257-266 10 p.

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

Large-scale online kernel learning with random feature reparameterization

Nguyen, T. D., Le, T., Bui, H. & Phung, D., 1 Jan 2017, Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17). Sierra, C. (ed.). California USA: International Joint Conferences on Artificial Intelligence, p. 2543-2549 7 p.

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

Open Access
File

Supervised restricted Boltzmann machines

Nguyen, T. D., Phung, D., Huynh, V. & Le, T., 2017, Conference on Uncertainty in Artifical Intelligence, UAI 2017: Sydney, Australia August 11-15, 2017. Elidan, G. & Kersting, K. (eds.). USA: AUAI Press, 10 p. 106

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

Open Access
File
2016

Budgeted semi-supervised support vector machine

Le, T., Duong, P., Dinh, M., Nguyen, T. D., Nguyen, V. & Phung, D., 1 Jan 2016, Uncertainty in Artificial Intelligence: Proceedings of the Thirty-Second Conference (2016). Ihler, A. & Janzing, D. (eds.). Corvallis OR USA: AUAI Press, p. 377-386 10 p.

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

Open Access
File

Distributed data augmented support vector machine on Spark

Nguyen, T. D., Nguyen, V., Le, T. & Phung, D., 2016, 2016 23rd International Conference on Pattern Recognition (ICPR 2016). Davis, L., Del Bimbo, A. & C. Lovell, B. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 498-503 6 p. 7899683

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

Dual space gradient descent for online learning

Le, T., Nguyen, T. D., Nguyen, V. & Phung, D., 2016, NIPS 2016 Proceedings: Advances in Neural Information Processing Systems (NIPS 2016). Lee, D. D., Sugiyama, M., Luxburg, U. V., Guyon, I. & Garnett, R. (eds.). Maryland Heights MO USA : Morgan Kaufmann Publishers, Vol. 29. 9 p. (Advances in Neural Information Processing Systems).

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

Open Access
File

Fast Kernel-based method for anomaly detection

Le, A., Le, T., Nguyen, K., Nguyen, V., Le, T. H. & Tran, D., 2016, 2016 International Joint Conference on Neural Networks (IJCNN): San Francisco, CA, USA — February 27 - March 02, 2016. A. Estevez, P. (ed.). New York NY USA: Association for Computing Machinery (ACM), p. 3211-3217 7 p. 7727609

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

Fast support vector clustering

Pham, T., Le, T., Le, T. H. & Tran, D., 2016, ESANN 2016 - 24th European Symposium on Artificial Neural Networks: Bruges, Belgium, April 27-28-29. Blayo, F., Bontempi, G., Cottrell, M., Loccufier, M., Manderick, B., Peters, J-P., Suykens, J., Vandewalle, J., Verleysen, M. & Wehenkel, L. (eds.). Louvain la Neuve Belgium: i6doc.com, p. 551-556 6 p.

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

Open Access
File

Fuzzy kernel stochastic gradient descent machines

Nguyen, T., Duong, P., Le, T., Le, A., Ngo, V., Tran, D. & Ma, W., 2016, 2016 International Joint Conference on Neural Networks (IJCNN): 24 - 29 July 2016 Vancouver, Canada. A. Estevez, P. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 3226-3232 7 p. 7727611

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

Nonparametric budgeted stochastic gradient descent

Le, T., Nguyen, V., Nguyen, T. D. & Phung, D., 2016, Proceedings of Machine Learning Research: Artificial Intelligence and Statistics, 9-11 May 2016, Cadiz, Spain. Gretton, A. & C. Robert, C. (eds.). USA: Proceedings of Machine Learning Research (PMLR), Vol. 51. p. 564-572 9 p. (Proceedings of Machine Learning Research).

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

One-pass logistic regression for label-drift and large-scale classification on distributed systems

Nguyen, V., Nguyen, T. D., Le, T., Venkatesh, S. & Phung, D., 2016, Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016. Bonchi, F., Domingo-Ferrer, J., Baeza-Yates, R., Zhou, Z-H. & Wu, X. (eds.). Los Alamitos CA USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1113-1118 6 p. 7837958

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

Sparse adaptive multi-hyperplane machine

Nguyen, K., Le, T., Nguyen, V. & Phung, D., 2016, Advances in Knowledge Discovery and Data Mining : 20th Pacific-Asia Conference, PAKDD 2016, Proceedings Part I. Bailey, J., Khan, L., Washio, T., Dobbie, G., Huang, J. Z. & Wang, R. (eds.). Cham Switzerland: Springer, p. 27-39 13 p. (Lecture Notes in Artificial Intelligence ; vol. 9651).

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

Stochastic gradient descent for minimal enclosing ball

Dang, H., Le, T., Nguyen, K. & Ngo, N. M., 2016, Proceedings of 2016 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science: NICS 2016, September 14-16, 2016 Danang City, Vietnam . Boo, V. N. Q., Hung, N. L. & Duy, T. T. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 183-188 6 p. 7725647

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

2015

Adaptable Linear Support Vector Machine

Le, T., Nguyen, V., Nguyen, A. & Nguyen, K., 2015, Proceedings of 2015 2nd National Foundation for Science and Technology Development Conference on Information and Computer Science. Dinh, N. Q. & Tu, T. X. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 94-98 5 p. 7302229

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

Fast One-Class support Vector Machine for novelty detection

Le, T., Phung, D., Nguyen, K. & Venkatesh, S., 2015, Advances in Knowledge Discovery and Data Mining: 19th Pacific-Asia Conference, PAKDD 2015 Ho Chi Minh City, Vietnam, May 19–22, 2015 Proceedings, Part II. Cao, T., Lim, E-P., Zhou, Z-H., Ho, T-B., Cheung, D. & Motoda, H. (eds.). Cham Switzerland: Springer, p. 189-200 12 p. (Lecture Notes in Computer Science ; vol. 9078).

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

Fuzzy semi-supervised large margin One-Class Support Vector Machine

Le, T., Nguyen, V., Pham, T., Dinh, M. & Le, T. H., 2015, Some Current Advanced Researches on Information and Computer Science in Vietnam: Post-proceedings of The First NAFOSTED Conference on Information and Computer Science. Dang, Q. A., Nguyen, X. H., Le, H. B., Ha Nguyen, V. & Bao, V. N. Q. (eds.). Cham Switzerland: Springer, p. 65-78 14 p. (Advances in Intelligent Systems and Computing; vol. 341).

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

Graph-based semi-supervised Support Vector Data Description for novelty detection

Duong, P., Nguyen, V., Dinh, M., Le, T., Tran, D. & Ma, W., 2015, 2015 International Joint Conference on Neural Networks (IJCNN 2015). He, H. & Roy, A. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1985-1990 6 p. 7280565

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

Least square Support Vector Machine for large-scale dataset

Nguyen, K., Le, T., Lai, V., Nguyen, D., Tran, D. & Ma, W., 2015, 2015 International Joint Conference on Neural Networks (IJCNN 2015). He, H. & Roy, A. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 2057-2064 8 p. 7280575

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

Mixture of Support Vector Data Descriptions

Lai, V., Nguyen, D., Nguyen, K. & Le, T., 2015, Proceedings of 2015 2nd National Foundation for Science and Technology Development Conference on Information and Computer Science. Dinh, N. Q. & Tu, T. X. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 135-140 6 p. 7302178

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

2014

Kernel-based semi-supervised learning for novelty detection

Nguyen, V., Le, T., Pham, T., Dinh, M. & Le, T. H., 2014, Proceedings of the 2014 International Joint Conference on Neural Networks. Sperduti, A. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 4129-4136 8 p. 6889583

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

Robust Support Vector Machine

Le, T., Tran, D., Ma, W., Pham, T., Duong, P. & Nguyen, M., 2014, Proceedings of the 2014 International Joint Conference on Neural Networks. Roveri, M. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 4137-4144 8 p. 6889587

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

Using EEG artifacts for BCI applications

Ma, W., Tran, D., Le, T., Lin, H. & Zhou, S. M., 2014, Proceedings of the 2014 International Joint Conference on Neural Networks. Kumar, A. & Zhoo, S-M. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 3628-3635 8 p. 6889496

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

2013

EEG-Based person verification using Multi-Sphere SVDD and UBM

Nguyen, P., Tran, D., Le, T., Huang, X. & Ma, W., 2013, Advances in Knowledge Discovery and Data Mining : 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I. Pei, J., S. Tseng, V., Cao, L., Motoda, H. & Xu, G. (eds.). Springer, p. 289-300 12 p. (Lecture Notes in Computer Science ; vol. 7818 ).

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

Fuzzy entropy semi-supervised support vector data description

Le, T., Tran, D., Tran, T., Nguyen, K. & Ma, W., 2013, The 2013 International Joint Conference on Neural Networks (IJCNN). Piscataway NJ USA: Curran Associates, Inc., 5 p. 6707033

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

Fuzzy multi-sphere support vector data description

Le, T., Tran, D. & Ma, W., 1 Dec 2013, Advances in Knowledge Discovery and Data Mining - 17th Pacific-Asia Conference, PAKDD 2013, Proceedings. PART 2 ed. Springer, p. 570-581 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7819 LNAI, no. PART 2).

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

Maximal margin learning vector quantisation

Le, T., Tran, D., Nguyen, V. & Ma, W., 1 Dec 2013, 2013 International Joint Conference on Neural Networks, IJCNN 2013. IEEE, Institute of Electrical and Electronics Engineers, 6 p. 6706940. (Proceedings of the International Joint Conference on Neural Networks).

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

Proximity multi-sphere support vector clustering

Le, T., Tran, D., Nguyen, P., Ma, W. & Sharma, D., Jun 2013, In : Neural Computing and Applications. 22, 7-8, p. 1309-1319 11 p.

Research output: Contribution to journalArticleResearchpeer-review

2012

A unified model for support vector machine and support vector data description

Le, T., Tran, D., Ma, W. & Sharma, D., 2012, 2012 International Joint Conference on Neural Networks, IJCNN 2012. 6252642

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

Deterministic annealing multi-sphere support vector data description

Le, T., Tran, D., Ma, W. & Sharma, D., 2012, Neural Information Processing - 19th International Conference, ICONIP 2012, Proceedings. PART 3 ed. p. 183-190 8 p. (Lecture Notes in Computer Science ; vol. 7665 , no. PART 3).

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

Fuzzy multi-sphere support vector data description

Le, T., Tran, D., Ma, W. & Sharma, D., 2012, 2012 IEEE International Conference on Fuzzy Systems, FUZZ 2012. 6251336

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

Maximal margin approach to kernel generalised learning vector quantisation for brain-computer interface

Le, T., Tran, D., Hoang, T. & Sharma, D., 2012, Neural Information Processing - 19th International Conference, ICONIP 2012, Proceedings. PART 3 ed. p. 191-198 8 p. (Lecture Notes in Computer Science ; vol. 7665 , no. PART 3).

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

Multi-sphere support vector data description for brain-computer interface

Nguyen, P., Tran, D., Le, T., Hoang, T. & Sharma, D., 2012, 2012 Fourth International Conference on Communications and Electronics (ICCE). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 318-321 4 p. 6315920

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

Time domain parameters for online feedback fNIRS-based brain-computer interface systems

Hoang, T., Tran, D., Truong, K., Le, T., Huang, X., Sharma, D. & Vo, T., 2012, Neural Information Processing - 19th International Conference, ICONIP 2012, Proceedings. PART 2 ed. p. 192-201 10 p. (Lecture Notes in Computer Science; vol. 7664 , no. PART 2).

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

2011

A novel parameter refinement approach to one class support vector machine

Le, T., Tran, D., Ma, W. & Sharma, D., 2011, Neural Information Processing: 18th International Conference, ICONIP 2011, Shanghai, China, November 13-17, 2011, Proceedings, Part II. Lu, B-L., Zhang, L. & Kwok, J. (eds.). Berlin Germany: Springer, p. 529-536 8 p. (Lecture Notes in Computer Science ; vol. 7063 ).

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

Generalised support vector machine for brain-computer interface

Le, T., Tran, D., Hoang, T., Ma, W. & Sharma, D., 2011, Neural Information Processing - 18th International Conference, ICONIP 2011, Proceedings. PART 1 ed. p. 692-700 9 p. (Lecture Notes in Computer Science ; vol. 7062 , no. PART 1).

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

Multiple distribution data description learning algorithm for novelty detection

Le, T., Tran, D., Ma, W. & Sharma, D., 2011, Advances in Knowledge Discovery and Data Mining : 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 201, Part II. Springer, p. 246-257 12 p. (Lecture Notes in Computer Science ; vol. 6635).

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

Multiple distribution data description learning method for novelty detection

Le, T., Tran, D., Nguyen, P., Ma, W. & Sharma, D., 2011, Proceedings of International Joint Conference on Neural Networks: San Jose, California, USA, July 31 – August 5, 2011. IEEE, Institute of Electrical and Electronics Engineers, p. 2321-2326 6 p. 6033518

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

Multi-sphere support vector clustering

Le, T., Tran, D., Nguyen, P., Ma, W. & Sharma, D., 2011, Neural Information Processing : 18th International Conference, ICONIP 2011, Shanghai, China, November 13-17, 2011, Proceedings, Part II. Springer, p. 537-544 8 p. (Lecture Notes in Computer Science ; vol. 7063 ).

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