Yucong Shen

Currently, I'm working on self-supervised learning, efficient deep learning, and their applications in computer vision. I got my PhD degree in computer science from Computer Vision Lab, New Jersey Institute of Technology supervised by Prof. Frank Y. Shih. I received my bachelor degree in mathematics from Central China Normal University.

My research interests include:

Self-supervised learning
Efficient VLM
Efficient model inference

Feel free to drop me an email if you are interested in my research.

Email: ys496@njit.edu, sycstreetsoul@gmail.com.

SFC students please email me at: yshen2@sfc.edu.

Experience

07/2019-01/2020 Research Intern, Tencent AI Lab.
11/2017-05/2019 Research Assistant, Computer Vision Laboratory, New Jersey Institute of Technology.
07/2016-11/2016 Data Analyst Intern, Didichuxing.

Publications

F. Y. Shih, Y. Shen, and X. Zhong, “Development of deep learning framework for mathematical morphology,” International Journal of Pattern Recognition and Aritificial Intelligence, vol.33, no.6, p. 1954024, June 2019.

Preprints

Y. Shen, L. Shen, H. Z. Huang, X. Wang, W. Liu, "CPOT: Channel Pruning via Optimal Transport," arXiv preprint arXiv:2005.10451, 2020. [PDF]
Y. Shen, X.Zhong, F. Y. Shih, "Deep Morphological Neural Networks," arXiv preprint arXiv: 1909.01532, 2019. [PDF]

Professors that impacts me a lot: Prof. Gaofeng Zheng, Prof. Xiao-fei Zhang from Central China Normal University.

Professors that I work closely with: Prof. Xin Zhong from University of Nebraska, Omaha.

My master's thesis committee member: Prof. Zhi Wei, Prof. Hai Phan

Service

Conference Reviewer

ICCV 2021, 2023
CVPR 2022-2023
ECCV 2022
ACCV 2022

Journal Reviewer

TPAMI, Pattern Recognition, IEEE access

Awards

outstanding reviewer: ICCV 2021

Teaching

CS 101, CS 659

Life is a circle.

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