Wen-Yen Chang completed his master’s degree at the department of electrical engineering at National Tsing Hua University, Taiwan in 2020. He was a member of Vision Science Lab (VSLab) advised by Prof. Min Sun and Dr. Ting-Fan Wu. His research interests are centered on computer vision, machine learning, especially in deep learning.
I’m working in the Qualcomm XR Research system team, and focus on the Deep Learning features by appling the DSP to accerating on edge device.


Qualcomm XR Research system team in Taiwan.

July 2021 - Present

Military Service in Taiwan.

Sep. 2020 - Dec. 2020

Machine Learning Research Intern (Consultant)
Kaikutek inc. | Taipei
• Research: fast hand-gesture recognition and few-shot learning.
• Cloud Computing System: Server-less training platform by AWS.

May 2020 - Sep. 2020

DSP Summer Intern
MediaTek inc. | Hsinchu
• Tools Chains development: 5G NR field tried tools.
• DSP analysis: HRAM replay and analysis

July 2019 - Aug. 2019


M.Sc. in Electronic Engineering (4.30/4.30)
National Tsing Hua University | Hsinchu

Enhance data selection efficiency with variational auto-encoder for object detection’s active learning
Advisors: Min Sun, Ting-Fan Wu

Feb. 2018 - June 2020
B.Sc. in Electronic Engineering (4.14/4.30)
National Chung Cheng University | Chiayi

Car tracking and finding service in parkinglot system
Advisors: Ching-Chun Huang

Sep. 2014 - Feb. 2018

Honors & Awards

Phi Tau Phi Scholastic Honor

top 1 master student in the electrical engineering department of NTHU.

2018 - 2020
Appier Scholarship

for outstanding students in their research with top conference papers. (research:ECCV 2018)

The High Distinction Award

the undergraudated project is award to 1st prizes in graduation exhibition of electronic engineering, CCU.

The Chair Award

the most potential product for undergraudated project in the graduation exhibition of electronic engineering in CCU.



Google Scholar


Enhance data selection efficiency with variational auto-encoder for object detection’s active learning
Wen-Yen Chang
Master Thesis
[1] [abs] [pdf]
360-Indoor: Towards Learning Real-World Objects in 360deg Indoor Equirectangular Images
Shih-Han Chou, Cheng Sun, Wen-Yen Chang, Wan-Ting Hsu, Min Sun, Jianlong Fu
WACV 2020
[2] [abs] [pdf]


Bias-Aware Heapified Policy for Active Learning
Wen-Yen Chang, Wen-Huan Chiang, Shao-Hao Lu, Tingfan Wu, Min Sun
CVGIP 2019
[3] [abs] [pdf]


Leveraging Motion Priors in Videos for Improving Human Segmentation
Yu-Ting Chen, Wen-Yen Chang, Hai-Lun Lu, Tingfan Wu, Min Sun
ECCV 2018
[4] [abs][pdf] [code]

Selected Projects


JoRaLe Auto-Cinemagraph
Tsun-Hsuan Wang, Wen-Yen Chang, Chun-Hung Chao
[5] [abs][pdf] [slide]
3D Game world with C++
Wen-Yen Chang, Chun-Hung Chao, Wei-Cheng Tseng, Jason Wu
[6] [abs][video]
Taxi-bidding simulation(auction rule)
Meng-Li Shih, Wen-Yen Chang, Chun-Hung Chao
[7] [pdf] [video]


Car tracking and finding service in parkinglot system
Wen-Yen Chang
Undergraudated project
[8] [abs][pdf] [video]
Home Care App.
Wen-Yen Chang, Kang-Yu Liou, Kuan-Yeh Wu, Ya-Chu Chang, Po-Hsien Wang, Ting-Ying Wang
[9] [abs][pdf]


Programming Languages C, C++, C#, Java, Python, Matlab, Assembly
Deep Learning Frameworks Caffe, Tensorflow, Pytorch
Web Tools html, css, javascript, ruby
UI Tools MFC, QT
Hardware/Firmware (wo/ UNIX OS) 8051, Arduino, Nu-LB-NUC140
Hardware/Firmware (w/ UNIX OS) Raspberry-Pi zero, TX2(ROS)
Hardware descript language Verilog
Misc. OpenCV, OpenGL, Github, Docker, Vim, Linux, LATEX

Last updated on 2021-09-23