Shuhan Tan(谭书涵)

I am a junior undergraduate student in School of Data and Computer Science, Sun Yat-Sen University. My research interests lie on Machine Learning, Computer Vision and Medical Image Processing. Specifically, I have been working on Domain Adaptation, Person Re-identification and Biomarker Localization.

I am currently a research assistant at Boston University, advised by Prof. Kate Saenko.

Previously, I was lucky to work with Prof. Wei-Shi Zheng at iSEE-SYSU.

Email  /  CV  /  LinkedIn


Sun Yat-Sen University
Bachelor of Engineering • Sep. 2016 - Present
Major GPA: 93.20/100

Research Experience

Boston University
Research Assistant • July 2019 - Present
Adviser: Professor Kate Saenko

Sun Yat-Sen University
Undergraduate Researcher • Sep. 2017 - June 2019
Adviser: Professor Wei-Shi Zheng


[07/2019] I started to work in Boston.

[06/2019] One paper is accepted by MICCAI 2019.

[03/2019] One paper on Domain Adaptation is accepted by CVPR 2019.


Biomarker Localization by Combining CNN Classifier and Generative Adversarial Network
Rong Zhang, Shuhan Tan, Ruixuan Wang, Siyamalan Manivannan, Wei-Shi Zheng.
MICCAI, 2019
[Coming Soon]

We proposed a novel deep neural network architecture to effectively localize potential biomarkers in medical images, when only the image-level labels are available during model training.


Weakly Supervised Open-set Domain Adaptation by Dual-domain Collaboration
Shuhan Tan, Jiening Jiao, Wei-Shi Zheng
CVPR, 2019
arxiv / supplement / bibtex

We proposed a practical weakly supervised setting for open-set domain adaptation, where two scarcely-labeled domains collaboratively learn from each other.

Invited for presentation at WebVision 2019.

Updated July 2019

Special thanks to Jon Barron for website template.