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2020 – today
- 2023
[j4]Sitan Li
, Huu-Thiet Nguyen, Chien Chern Cheah:
A Theoretical Framework for End-to-End Learning of Deep Neural Networks With Applications to Robotics. IEEE Access 11: 21992-22006 (2023)- [j3]Jia Guo, Huu-Thiet Nguyen, Chao Liu, Chien Chern Cheah:
Convolutional Neural Network-Based Robot Control for an Eye-in-Hand Camera. IEEE Trans. Syst. Man Cybern. Syst. 53(8): 4764-4775 (2023) - 2022
- [j2]Huu-Thiet Nguyen, Sitan Li, Chien Chern Cheah:
A Layer-Wise Theoretical Framework for Deep Learning of Convolutional Neural Networks. IEEE Access 10: 14270-14287 (2022) - [j1]Huu-Thiet Nguyen, Chien Chern Cheah, Kar-Ann Toh:
An analytic layer-wise deep learning framework with applications to robotics. Autom. 135: 110007 (2022) - 2021
- [c4]Gulam Dastagir Khan, Huu-Thiet Nguyen, Chien Chern Cheah:
A Stable Control Strategy for Industrial Robots with External Feedback Loop. ICRA 2021: 12833-12838 - [i1]Huu-Thiet Nguyen, Chien Chern Cheah, Kar-Ann Toh:
An Analytic Layer-wise Deep Learning Framework with Applications to Robotics. CoRR abs/2102.03705 (2021) - 2020
- [c3]Huu-Thiet Nguyen, Chien Chern Cheah:
Data-Driven Neural Network-Based Learning For Regression Problems In Robotics. IECON 2020: 581-586 - [c2]Quang Minh Ta, Huu-Thiet Nguyen, Chien Chern Cheah:
Data-driven Learning for Approximation of Nonlinear Functions with Stochastic Disturbances. IEEM 2020: 794-798
2010 – 2019
- 2019
- [c1]Huu-Thiet Nguyen, Chien Chern Cheah, Kar-Ann Toh:
A Data-Driven Iterative Learning Algorithm for Robot Kinematics Approximation*. AIM 2019: 1031-1036
Coauthor Index
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