Trung Le
Trung Le
Faculty of Information Technology, Monash University, Australia
Verified email at monash.edu - Homepage
Title
Cited by
Cited by
Year
Dual Discriminator Generative Adversarial Nets
TD Nguyen, T Le, H Vu, D Phung
In Advances in Neural Information Processing (NIPS) 2017, 2017
1802017
MGAN: Training Generative Adversarial Nets with Multiple Generators
H Quan, N Tu Dinh, L Trung, P Dinh
In International Conference on Learning Representation (ICLR) 2018, 2018
169*2018
Large-scale Online Kernel Learning with Random Feature Reparameterization
TD Nguyen, T Le, H Bui, D Phung
In Proceedings of the 26th International Joint Conference on Artificial …, 2017
332017
An optimal sphere and two large margins approach for novelty detection
T Le, D Tran, W Ma, D Sharma
IJCNN, 1-6, 2010
302010
Dual Space Gradient Descent for Online Learning
T Le, TD Nguyen, V Nguyen, D Phung
In Advances in Neural Information Processing (NIPS) 2016, 2016
262016
Nonparametric Budgeted Stochastic Gradient Descent
T Le, V Nguyen, DT Nguyen, D Phung
The 19th International Conference on Artificial Intelligence and Statistics …, 2016
232016
Fuzzy support vector machines for age and gender classification
P Nguyen, T Le, D Tran, X Huang, D Sharma
INTERSPEECH, 2806-2809, 2010
212010
Robust Anomaly Detection in Videos using Multilevel Representations
H Vu, T Nguyen, T Le, L Wei, D Phung
In 33rd AAAI Conference on Artificial Intelligence (AAAI 2019), 2018
192018
Fuzzy Multi-Sphere Support Vector Data Description
T Le, D Tran, M Wanli
PAKDD, 570-581, 2013
192013
EEG-Based Person Verification Using Multi-Sphere SVDD and UBM
P Nguyen, D Tran, T Le, X Huang, M Wanli
PAKDD, 289-300, 2013
192013
Multiple Distribution Data Description Learning Algorithm for Novelty Detection
T Le, D Tran, W Ma, D Sharma
PAKDD, 256-257, 2011
19*2011
A Theoretical Framework for Multi-sphere Support Vector Data Description
T Le, D Tran, W Ma, D Sharma
ICONIP, 132-142, 2010
162010
Budgeted Semi-supervised Support Vector Machine
T Le, P Duong, M Dinh, TD Nguyen, V Nguyen, D Phung
32th Conference on Uncertainty in Artificial Intelligence, 2016
142016
Approximation Vector Machines for Large-scale Online Learning
T Le, TD Nguyen, V Nguyen, D Phung
Journal of Machine Learning Research (JMLR), 2017
132017
Distributed Data Augmented Support Vector Machine on Spark
T Nguyen, V Nguyen, T Le, D Phung
Proceedings of the 23rd International Conference on Pattern Recognition …, 2016
13*2016
Using EEG artifacts for BCI applications
W Ma, D Tran, T Le, H Lin, SM Zhou
IJCNN, 3628-3635, 2014
132014
GoGP: Fast Online Regression with Gaussian Processes
T Le, K Nguyen, V Nguyen, N Tu Dinh, D Phung
In International Conference on Data Mining (ICDM 17), 2017
122017
A New Fuzzy Membership Computation Method for Fuzzy Support Vector Machines
T Le, D Tran, W Ma, D Sharma
HUTICCE, 153-157, 2010
122010
One-pass Logistic Regression for Label-drift and Large-scale Classification on Distributed Systems
V Nguyen, TD Nguyen, T Le, D Phung, S Venkatesh
Proceedings of the IEEE International Conference on Data Mining (ICDM) 2016, 2016
112016
Graph-based semi-supervised Support Vector Data Description for novelty detection
P Duong, V Nguyen, M Dinh, T Le, D Tran, W Ma
IJCNN, 1-6, 2015
112015
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Articles 1–20