CV
Xuan Thanh Nguyen
Ph.D Candidate, Artificial Intelligence & Machine Learning Lab. (AIM)
Korea Advanced Institute of Science and Technology (KAIST).
E-mail: thanhnguyen@kaist.ac.kr
Github: https://github.com/thanhkaist
RESEARCH INTERESTS
Reinforcement Learning
Deep Learning for Computer Vision
Control Algorithms
EDUCATION
B.E. in Electrical Engineering (Automation Control Major, Talented Program), HCMUT, Ho Chi Minh city, Viet Nam. 2010-2015 (GPA:8.34/10 Top 10 - K2010)
M.S. in Electrical Engineering, KAIST, Daejeon, Korea, 2018-2020 (GPA:3.66/4.3)
Ph.D. in Electrical Engineering, KAIST, Daejeon, Korea,2020-Present (GPA:3.79/4.3 )
Member of Artificial Intelligence & Machine Learning Lab. (AIM), KAIST, Daejeon, Korea, 2018-Present
MAJOR SKILLS
Programming Languages: C, C++, C++(Qt), Python
Deep Learning Frameworks: Pytorch, Tensorflow, Keras
Embedded software programming (C/C++), GUI programming(Qt C++), ROS programming (C++/Python), Deep Learning programming (Python)
AWARDS AND HONORS
HCMUT excellent student scholarship 2010 - 2015
Full Kaist Scholarship for Master-PhD program (2018-Present)
FULL-TIME JOBS
FPT Sofware - Embedded Software Engineer 2014 - 2015
SCTV - R&D Engineer 2015-2016
Steinsvik - R&D Engineer 2016-2018 (6 months working in Norway)
AIM LAB - Full-time Machine Learning Ph.D. Scholarship 2018-Now
PROJECT EXPERIENCES
UAV ground control station (Labview and C ) - HCMUT 2014
AutoSar - Automotive Hardware Abstraction Layer (C/C++ Embedded Software dev+test) - FPT Software 2014
4K video transmission system - SCTV 2015
Steinsvik Vision System (C++ for Cameras, Sensors - QT GUI with QML) - Steinsvik 2016
Steinsvik Camera Diagnostic Software (RS485 Protocol Dev - RESTful API - QT GUI with QWidget) - Steinsvik 2017
Aurora Filming Aided System (Motors+ CANopen + Qt GUI with QML) - KFX Technology 2018
Yaskawa Filming Aided System (Robot + Qt GUI with QWidget) - Libre Technology 2019
Image Super-Resolution with Deep Learning - KAIST 2018
Image De-blur with Deep Learning - KAIST 2019
Image De-hazing with Deep Learning - KAIST 2019
Sawyer Reaching with Reinforcement Learning - KAIST 2019
Robot Arm Pick-Up - KAIST 2020
Paper projects KAIST 2019 - now
PUBLICATIONS
CONFERENCE & JOURNAL
Thanh Nguyen, Trung Xuan Pham, Chaoning Zhang, Tung M. Luu, Thang Vu, and Chang D. Yoo. "DimCL: Dimensional Contrastive Learning for Improving Self-Supervised Learning." IEEE Access 2023
Tung Luu, Thanh Nguyen, Thang Vu, Chang D. Uoo. Utilizing Skipped Frames in Action Repeats for Improving Sample Efficiency in Reinforcement Learning - IEEE ACCESS 2022.
Trung Xuan Pham, Jin Woong Choi, Rusty John Lloyd Mina, Thanh Nguyen, Sultan Rizky Madjid, Chang D Yoo. Lad: A hybrid deep learning system for benign paroxysmal positional vertigo disorders diagnostic - IEEE ACCESS 2022.
Thang Vu, Kookhoi Kim, Tung M. Luu, Thanh Nguyen, Chang D. Yoo. SoftGroup for 3D Instance Segmentation on Point Clouds- CVPR 2022.
Thanh Nguyen, Tung Luu, Thang Vu and Chang D. Yoo. Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model IROS 2021.
Thanh Nguyen et al Chang D. Yoo. Robust MAML: Prioritization task buffer with adaptive learning process for model agnostic meta-learning - International Conference on Acoustics, Speech, and Signal Processing ICASSP 2021.
Thanh Nguyen, Tung Luu, Thang Vu, Chang D. Yoo. A pre-training framework for learning feature representation in visual observation reinforcement learning - Theieie 2021
Thanh Nguyen, Chang D. Yoo. A survey on meta-learning - KAIA 2020.
Thanh Nguyen, Chang D. Yoo. GAN-based image de-hazing with U-net based cascaded generator and multiple discriminators - Samsung Human Tech 2020.
Thanh Nguyen, Hieu Nguyen, Chang D. Yoo. GDCA-GAN based single image super-resolution with dual discriminators and channel attention - Korean Artificial Intelligence Association KAIA 2019.
WORKSHOP
Thanh Nguyen, Tung Luu, Chang Dong Yoo. Fast and Memory-Efficient Uncertainty-Aware Framework for Offline Reinforcement Learning with Rank One MIMO Q network - The Workshop on Policy Learning in Geometric Spaces, IEEE IROS 2023
Thanh Nguyen, Tung Luu, Chang Dong Yoo. Towards Robust Robot Perception Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses - The Workshop on Learning by Asking for Intelligent Robots and Agents, IEEE ROMAN 2023
Thanh Nguyen, Heesuk Yoon, Eunseop Yoon, Chang Dong Yoo. Reducing Object Hallucination for Image Captioning using Large Vision-Language Models with Reinforcement Learning - The Workshop on Learning by Asking for Intelligent Robots and Agents, IEEE ROMAN 2023