Dual Discriminator Generative Adversarial Nets TD Nguyen, T Le, H Vu, D Phung In Advances in Neural Information Processing (NIPS) 2017, 2017 | 387 | 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 | 353* | 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 | 110 | 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 | 104 | 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 | 81 | 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 | 64 | 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 | 62* | 2021 |
Neural Sinkhorn Topic Model. H Zhao, D Phung, V Huynh, T Le, WL Buntine International Conference on Representation Learning (ICLR) 2020, 2020 | 59* | 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 | 49 | 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 | 47 | 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 | 47 | 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 | 46 | 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 | 40 | 2019 |
An optimal sphere and two large margins approach for novelty detection T Le, D Tran, W Ma, D Sharma IJCNN, 1-6, 2010 | 38 | 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 | 37 | 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 | 29 | 2021 |
Nonparametric Budgeted Stochastic Gradient Descent T Le, V Nguyen, DT Nguyen, D Phung The 19th International Conference on Artificial Intelligence and Statistics …, 2016 | 28 | 2016 |
Multiple Distribution Data Description Learning Algorithm for Novelty Detection T Le, D Tran, W Ma, D Sharma PAKDD, 256-257, 2011 | 28* | 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 | 27 | 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 | 26 | 2020 |