About

I am now a graduate research student in Vision and Learning Lab (VLL), supervised by Prof. Yu-Chiang Frank Wang. My research interests are in the areas of Machine Learning and Computer Vision, particularly representation learning and reinforcement learning.

During the past years, I studied in National Tsing Hua University (NTHU) for three years and received my Bachelor of Science degree. Afterwards, I went to University of Minnesota, Twin Cities (UMN) to be non-degree seeking student, majoring in Computer Science for half a year. I also had some research experience with Bioinformatics in UMN supervised by Prof. Chih-Lin Chi. After coming back to Taiwan, I had co-work experience with Prof. Shou-De Lin before seeking Master degree in VLL at National Taiwan University (NTU). To obtain more details about me, here is my CV.

Contact information:
Email address: r06942074 [AT] ntu.edu.tw

Timeline


Master of Science
National Taiwan University

Sep. 2017 - Present

Undergrad. RA
University of Minnesota, Twin-Cities

Aug. 2016 - Jan. 2017

Visiting Student
Fudan University

Summer 2015

Bachelor of Science
National Tsing Hua University

Sep. 2013 - Jun. 2016 in Taiwan
Summer 2014 in Beijing

Publications

Deep Reinforcement Learning for Playing 2.5D Fighting Games

2018 IEEE International Conference on Image Processing (ICIP'18)
Yu-Jhe Li, Hsin-Yu Chang, Yu-Jing Lin, Po-Wei Wu, Yu-Chiang Frank Wang
[ArXiv]





Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification

2018 IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPR'18 Workshop)
Yu-Jhe Li, Fu-En Yang, Yen-Cheng Liu, Yu-Ying Yeh, Xiaofei Du, Yu-Chiang Frank Wang
[ArXiv] [CVF open]





Deep Learning for Malicious Flow Detection

2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC'17)
Yun-Chun Chen, Yu-Jhe Li, Aragorn Tseng, Tsungnan Lin
[ArXiv] [IEEE Xplore]

Co-work projects


Person re-identification

Mar. 2018 - Present

Details: Instance segmentation and re-identification for surveillance system


Adversarial Attack for Malware

Sep. 2017 - Feb. 2018

Details: Utilized Reinforcement Learning and Generative Adversarial Network for attacking the antivirus software. Supervised by Prof. Shou-De Lin.


Malicious Net-Flow Detection

Feb. 2017 - Aug. 2017

Details: Integrated Artificial Intelligence and Cyber Security on un-decrypted(TLS) malicious netflow detection.