I am Yu-Jhe (Jack) Li

Scroll down to know more about me!

News

  • Apr. 2019:   One paper is accepted to ICIP 2019!

  • Mar. 2019:   One paper is accepted to CVPR 2019!

  • Feb. 2019:   One paper is accepted to ICASSP 2019!

  • Nov. 2018:   One paper is accepted to AAAI 2019!

  • Aug. 2018:   Student Paper Award in CVGIP 2018!

  • May. 2018:   2nd place in Nvidia GTC 2018 Poster Competition!

  • May. 2018:   One paper is accepted to ICIP 2018!

  • Apr. 2018:   One paper is accepted to CVPR 2018 Workshops!

  • Oct. 2017:   I joined Vision and Learning Lab (VLL)!

  • Sep. 2017:   Start seeking M.S. in National Taiwan University!

  • Aug. 2017:   One paper is accepted to PIMRC 2017!

  • July. 2017:   Summer Internship at TrendMicro inc.

About

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

In past years, I graduated from National Tsing Hua University (NTHU) (in three years) and received my Bachelor of Science degree. Afterwards, I went to University of Minnesota, Twin Cities (UMN) as an exchange student, majoring in Computer Science. I also worked with Prof. Chih-Lin Chi for researching Bioinformatics and ML in UMN. After coming back to Taiwan, I worked with Prof. Shou-De Lin researching ML before seeking Master degree in VLL at NTU. To obtain more details about me, here is my Curriculum Vitae.

Contact information:
Email address: yujheli [AT] ntu.edu.tw; yujhe.jack [AT] gmail.com

Timeline


M.S.

Communication Engineering
National Taiwan University (NTU)

Sep. 2017 - Feb. 2019

Exchange Student

Computer Science
University of Minnesota, Twin-Cities (UMN)

Aug. 2016 - Jan. 2017

B.S.

Electrical Engineering & Computer Science
National Tsing Hua University (NTHU)

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

Publications

Anonymous Title (Double Blind) Under Review

Yu-Jhe Li*, Yun-Chun Chen*, Yen-Yu Lin, Xiao-fei Du, Yu-Chiang Frank Wang (*indicates equal contribution)
Under review ...




Learning Hierarchical Self-Attention for Video Summarization

2019 IEEE International Conference on Image Processing (ICIP'19)
Yen-Ting Liu, Yu-Jhe Li, Fu-En Yang, Shang-Fu Chen, Yu-Chiang Frank Wang
Paper and Code are coming soon ...




Spot and Learn: A Maximum-Entropy Image Patch Sampler for Few-Shot Classification

2019 IEEE Conference on Computer Vision and Pattern Recognition (CVPR'19)
Wen-Hsuan Chu, Yu-Jhe Li, Jing-Cheng Chang, Yu-Chiang Frank Wang
Paper and Code are coming soon ...




Dual-modality Seq2seq Network for Audio-Visual Event Localization

2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'19)
Yan-Po Lin, Yu-Jhe Li, Yu-Chiang Frank Wang
[ArXiv]




Learning Resolution-Invariant Deep Representations for Person Re-Identification

2019 AAAI Conference on Artificial Intelligence (AAAI'19 Oral). Acceptance rate: 16.2%
Yun-Chun Chen*, Yu-Jhe Li*, Xiao-fei Du, Yu-Chiang Frank Wang (*indicates equal contribution)
Paper and Code are coming soon ...




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 (*indicates equal contribution)
[ArXiv] [Paper] [Code]




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

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




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] [Paper]

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.

Awards

  • 2018 Foxconn Technology Research Award!
    (2018鴻海科技學術獎)

  • 2018 NTU Academic Outstanding Award!
    (107學年度台灣大學校內傑出表現獎)

  • 2018 Witty Technology Education Award!
    (2018年樹本教育傑出獎)

  • Student Paper Award in CVGIP 2018!
    (CVGIP2018 佳作論文獎)

  • 2nd place in Nvidia GTC 2018 Poster Competition!
    (GTC 2018 研究海報獎第二名)