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Jingchen Sun （孙精辰）
Ph.D. Student Department of Computer Science and Engineering State University of New York at Buffalo Email: jsun39 AT buffalo DOT edu [Github] [Google Scholar] [Linkedin] |
About me
I am a Ph.D. student in computer science from the State University of New York at Buffalo. I am fortunate to be supervised by Prof. Changyou Chen. Before that, I obtained my Master's degree at Zhejiang University and my Bachelor's degree at North China Electric Power University .
My research interests mainly focus on computer vision and deep Learning. Currently, I am working on the efficient transfer learning of large Vision-Language (VL) models. My research goal to is make the large VL models achieve efficient open-vocabulary image recognization in downstream tasks.
News
- 03/21/2023: [Intern] I will join in Nokia-Bell Labs as an applied AI researcher intern in summer 2023!
Education
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The State University of New York at Buffalo
Ph.D., 2022.01 - Present -
Zhejiang University
M.E., 2018.09 - 2021.06 -
North China Electric Power University
B.E., 2014.09 - 2018.06
Experience
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Nokia Bell Labs, Applied AI researcher Intern
New Jersey, 2023.06 - 2023.08 -
Bytedance, Computer Vision Algorithm Engineer Intern
Shanghai, 2022.05 - 2022.07 -
Baidu, Software Engineer Intern
Beijing, 2017.09 - 2017.12
Publications
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Prompt Tuning based Adapter for Vision-Language Model Adaption
[Paper]
Jingchen Sun, Qin Jiayu, Lin Zihao, Chen Changyou
Arxiv 2023 -
An Efficient Multi-task Network for
Pedestrian Intrusion Detection
[Paper]
Zhenyu Shi, Shibo He, Jingchen Sun, Tao Chen, Jiming Chen.
IEEE Transactions on Intelligent Vehicles, TIV 2022 -
PIDNet: An Efficient Network for
Dynamic Pedestrian Intrusion Detection
[Paper]
Jingchen Sun, Jiming Chen, Tao Chen, Jiayuan Fan, Shibo He.
ACM International Conference on Multimedia, MM 2020
Teaching Experiences
I served as a teaching assistant for the following courses:- CSE 474/574: Introduction to Machine Learning (2022 Fall)
- CSE 676: Deep Learning (2022 Spring)