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ORCIDKhanh Nguyen
- > Home > Persons > Khanh Nguyen
Publications
- 2022
[j11]Trung Le, Khanh Nguyen, Dinh Q. Phung:
Improving kernel online learning with a snapshot memory. Mach. Learn. 111(3): 997-1018 (2022)- [j9]Khanh Nguyen
, Trung Le, Tu Dinh Nguyen, Geoffrey I. Webb, Dinh Phung:
Robust Variational Learning for Multiclass Kernel Models With Stein Refinement. IEEE Trans. Knowl. Data Eng. 34(9): 4425-4438 (2022) - 2020
- [c43]Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, Dinh Phung:
Code Pointer Network for Binary Function Scope Identification. IJCNN 2020: 1-7 - [c41]Tuan Nguyen, Trung Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung:
Deep Cost-Sensitive Kernel Machine for Binary Software Vulnerability Detection. PAKDD (2) 2020: 164-177 - [c40]Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung:
Code Action Network for Binary Function Scope Identification. PAKDD (1) 2020: 712-725 - 2019
- [j8]Trung Le, Khanh Nguyen, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung:
GoGP: scalable geometric-based Gaussian process for online regression. Knowl. Inf. Syst. 60(1): 197-226 (2019) - [c34]Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. DeVel, Paul Montague, Lizhen Qu, Dinh Q. Phung:
Deep Domain Adaptation for Vulnerable Code Function Identification. IJCNN 2019: 1-8 - 2018
- [c33]Khanh Nguyen, Nhan Dam, Trung Le, Tu Dinh Nguyen, Dinh Q. Phung:
Clustering Induced Kernel Learning. ACML 2018: 129-144 - [c32]Khanh Nguyen, Trung Le, Tu Dinh Nguyen, Dinh Q. Phung:
Bayesian Multi-Hyperplane Machine for Pattern Recognition. ICPR 2018: 609-614 - [c31]Khanh Nguyen, Trung Le, Tu Dinh Nguyen, Dinh Q. Phung, Geoffrey I. Webb:
Robust Bayesian Kernel Machine via Stein Variational Gradient Descent for Big Data. KDD 2018: 2003-2011 - [i9]Trung Le, Khanh Nguyen, Dinh Q. Phung:
Theoretical Perspective of Deep Domain Adaptation. CoRR abs/1811.06199 (2018) - 2017
- [c29]Trung Le, Khanh Nguyen, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung:
GoGP: Fast Online Regression with Gaussian Processes. ICDM 2017: 257-266 - [i4]Trung Le, Khanh Nguyen, Tu Dinh Nguyen, Dinh Q. Phung:
Analogical-based Bayesian Optimization. CoRR abs/1709.06390 (2017) - 2016
- [j6]Duy Nguyen, Vinh Lai, Khanh Nguyen, Trung Le:
Mixture of hyperspheres for novelty detection. Vietnam. J. Comput. Sci. 3(4): 223-233 (2016) - [c26]Khanh Nguyen, Trung Le, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung:
Multiple Kernel Learning with Data Augmentation. ACML 2016: 49-64 - [c24]Anh Le, Trung Le, Khanh Nguyen, Van Nguyen, Thai Hoang Le, Dat Tran:
Fast Kernel-based method for anomaly detection. IJCNN 2016: 3211-3217 - [c23]Khanh Nguyen, Trung Le, Vu Nguyen, Dinh Q. Phung:
Sparse Adaptive Multi-hyperplane Machine. PAKDD (1) 2016: 27-39 - [i3]Trung Le, Khanh Nguyen, Van Nguyen, Vu Nguyen, Dinh Q. Phung:
Scalable Support Vector Machine for Semi-supervised Learning. CoRR abs/1606.06793 (2016) - 2015
- [c19]Khanh Nguyen, Trung Le, Vinh Lai, Duy Nguyen, Dat Tran, Wanli Ma:
Least square Support Vector Machine for large-scale dataset. IJCNN 2015: 1-8 - [c18]Trung Le, Dinh Q. Phung, Khanh Nguyen, Svetha Venkatesh:
Fast One-Class Support Vector Machine for Novelty Detection. PAKDD (2) 2015: 189-200 - 2013
- [c16]Trung Le, Dat Tran, Tien Tran, Khanh Nguyen, Wanli Ma:
Fuzzy entropy semi-supervised support vector data description. IJCNN 2013: 1-5
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