Trung Le
Trung Le
Faculty of Information Technology, Monash University, Australia
Verified email at - Homepage
Cited by
Cited by
Dual Discriminator Generative Adversarial Nets
TD Nguyen, T Le, H Vu, D Phung
In Advances in Neural Information Processing (NIPS) 2017, 2017
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
VulRepair: A T5-Based Automated Software Vulnerability Repair
M Fu, C Tantithamthavorn, T Le, V Nguyen, D Phung
In Proceedings of the Joint European Software Engineering Conference and …, 2022
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
ReGVD: Revisiting graph neural networks for vulnerability detection
VA Nguyen, DQ Nguyen, V Nguyen, T Le, QH Tran, D Phung
Proceedings of the ACM/IEEE 44th International Conference on Software …, 2022
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
Lamda: Label matching deep domain adaptation
T Le, T Nguyen, N Ho, H Bui, D Phung
Proceedings of the 38th International Conference on Machine Learning (ICML …, 2021
Neural Sinkhorn Topic Model.
H Zhao, D Phung, V Huynh, T Le, WL Buntine
International Conference on Representation Learning (ICLR) 2020, 2020
Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection
T Le, T Nguyen, T Le, P Montague, O De Vel, L Qu, D Phung
In International Conference on Learning Representations (ICLR) 2019, 2019
Most: Multi-source domain adaptation via optimal transport for student-teacher learning
T Nguyen, T Le, H Zhao, QH Tran, T Nguyen, D Phung
Uncertainty in Artificial Intelligence, 225-235, 2021
Time series forecasting for healthcare diagnosis and prognostics with the focus on cardiovascular diseases
C Bui, N Pham, A Vo, A Tran, A Nguyen, T Le
6th International Conference on the Development of Biomedical Engineering in …, 2018
Stem: An approach to multi-source domain adaptation with guarantees
VA Nguyen, T Nguyen, T Le, QH Tran, D Phung
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Deep Domain Adaptation for Vulnerable Code Function Identification
V Nguyen, T Le, T Le, K Nguyen, O DeVel, P Montague, L Qu, D Phung
Int. Joint Conf. on Neural Networks (IJCNN) 2019, 2019
An optimal sphere and two large margins approach for novelty detection
T Le, D Tran, W Ma, D Sharma
IJCNN, 1-6, 2010
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training
AT Bui, T Le, QH Tran, H Zhao, D Phung
International on Learning Representation (ICLR) 2022, 2022
Tidot: A teacher imitation learning approach for domain adaptation with optimal transport
T Nguyen, T Le, N Dam, QH Tran, T Nguyen, D Phung
International Joint Conference on Artificial Intelligence 2021, 2862-2868, 2021
Nonparametric Budgeted Stochastic Gradient Descent
T Le, V Nguyen, DT Nguyen, D Phung
The 19th International Conference on Artificial Intelligence and Statistics …, 2016
Multiple Distribution Data Description Learning Algorithm for Novelty Detection
T Le, D Tran, W Ma, D Sharma
PAKDD, 256-257, 2011
Dual Space Gradient Descent for Online Learning
T Le, TD Nguyen, V Nguyen, D Phung
In Advances in Neural Information Processing (NIPS) 2016, 2016
Improving adversarial robustness by enforcing local and global compactness
A Bui, T Le, H Zhao, P Montague, O deVel, T Abraham, D Phung
European Conference on Computer Vision, 209-223, 2020
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