Huynh Xuan Phung

Ho Chi Minh City University of Technology and Education

Lecturer at Information Technology • 2012 — 2015

I was teaching some courses in computer language and introduction to computer

Sejong University

Ph.D student, Researcher • 2015 — 2019

I was a researcher in HCI Lab, Department of Computer Engneering, Sejong University, Soouth Korea

Ho Chi Minh City University of Technology and Education

Bachelor Degree, Information Technology • 2007 — 2012

Highest GPA score: 8.44/10

Sejong University, South Korea

Ph.D Student, Computer Engineering • 2015 — 8/2019

I was a Ph.D student at Human Computer Interaction Lab. (HCILab) in Dept. of Computer Engineering, Sejong University. My major research is Deep Learning and Application in Computer Vision.

2017 : Detection of Driver Drowsiness Using 3D Deep Neural Network and Semi-Supervised Gradient Boosting Machine

Xuan-Phung Huynh,Sang-min Park,Yong-Guk Kim

ACCV Workshop 2016, pdf

2017 : NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

Radu Timofte et al., ... , Xuan-Phung Huynh, ...

CVPR Workshop 2017, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops,pdf

2016 : Convolutional Neural Network Models for Facial Expression Recognition Using 3D-BUFE Database

Xuan-Phung Huynh,Tien-Duc Tran,Yong-Guk Kim

Information Science and Applications (ICISA) 2016, pdf

2016 : Tracking a Human Fast and Reliably Against Occlusion and Human-Crossing

Xuan-Phung Huynh, In-Ho Choi, Yong-Guk Kim

Pacific-Rim Symposium on Image and Video Technology, Springer

Applying deep learning for drowsiness driver detection

Primary Developer • 2016 — Present

Using deep learning to recognize the driver status

Programming language

C/C++, Lua, Python, Matlab

Present the 20th Place at NeurIPS 2018: AI for Prosthetics Challenge

NIPS 2018, NeurIPS 2018: AI for Prosthetics Challenge
• 2018

My team name is Huynh Xuan Phung. I have used the Reinforcement Learning method to teach the simulation agent to run as the human.

Present top 6% competitors in SNA Pneumonia Detection Challenge

Kaggle, SNA Pneumonia Detection Challenge
• 2018

Here is my profile phung huynh xuan

Present the 11th Place at NIPS 2017: Learning to Run

NIPS 2017, NIPS 2017 Workshop: Learning to Run
• 2017

My team name is Huynh Xuan Phung. I have used the Reinforcement Learning method to teach the simulation agent to run as the human.

Present the First Place at ChaLearn LAP Real Versus Fake Expressed Emotion Challenge

ICCV 2017, ICCV 2017 Workshop
• 2017

LSTM-PB, My team name is HCILab

Present the Second Place at THOR Challenge

CVPR 2017, CVPR 2017 Workshop
• 2017

Applying Deep Reinforcement Learning to Navigation Robot to Explore Target subjects in Indoor Environment. My team name is phunghx

Present in NTIRE challenge on example-based single image super-resolution

NTIRE 2017, New Trends in Image Restoration and Enhancement workshop and challenge on image super-resolution in conjunction with CVPR 2017
• 2017

My team name is phunghx (HCILab) pdf

Present the First Place Award at Drive Drowsiness Detection Contest

The 13th ACCV, ACCV Workshop on Driver Drowsiness Detection from Video 2016
• 2016

Contribution paper:"Detection of Driver drowsiness using 3D Deep Neural Network and semi-supervised gradient boosting machine".

Top 22% competitors in State Farm Distracted Driver Detection challenge

Kaggle, State Farm Distracted Driver Detection
• 2016

Here is my profile phung huynh xuan

Top 13% competitors in Dogs vs. Cats Redux: Kernels Edition challenge

Kaggle, Dogs vs. Cats Redux: Kernels Edition
• 2017

Here is my profile phung huynh xuan

Top 31% competitors in TensorFlow Speech Recognition Challenge

Kaggle, TensorFlow Speech Recognition Challenge
• 2017

Here is my profile phung huynh xuan

Information Technology Faculty, Ho Chi Minh City University of Techonology and Education, Vietnam

Head of Software Engineering • 9/2019 — Now

I am a lecturer at HCMC University of Technology and Education

• Table Tennis, Football.
• photographer

• HCI Lab, Sejong University, Dept. of Computer Engneering
• Google Scholar