Shuyan LiLecturer/Assistant Professor School of EEECS, Queen's University Belfast Email: shuyan.li@qub.ac.uk |
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Biography
I am currently a Lecturer in the School of Electronics, Electrical Engineering and Computer Science (EEECS) at Queen’s University Belfast. Prior to this, I worked as a Postdoctoral Research Associate in the Department of Engineering at the University of Cambridge, collaborating with Prof. Ioannis Brilakis. In Jan. 2022, I got my doctor’s degree in the Department of Automation at Tsinghua University, Intelligent Vision Group(IVG). I was supervised by Prof. Jiwen Lu , Prof. Jie Zhou and Prof. Xiu Li . I am broadly interested in computer vision and AI for science. My current research focuses on representation learning, video understanding, construction digital twin.
News
2024-10: I was honored to be recognized as one of Forbes China’s Top 100 Chinese Elites .
2024-06: I provided a talk on “Connecting Vision and Text for Video Analysis” at Computer Vision Symposium, Queen’s University Belfast, UK.
2024-03: I delivered a guest lecture for the MSc program in Digital Innovation in Built Asset Management at University College London.
2023-04: I provided a talk on “Unsupervised Learning for Visual Computing” at Department of Computer Science, University of Sheffield, UK.
2023-02: 3 papers on domain adaptation, object detection and multi-modal learning were accepted by ICASSP’2023.
2023-01: My doctorate thesis was awarded as Excellent Doctorate Dissertation by ShenZhen Association for Artificial Intelligence (3 people awarded per annual).
2023-01: I gave a seminar talk at Division D, Department of Engineering at University of Cambridge to introduce unsupervised learning for digital twins. Thanks Prof. Ioannis Brilakis for the invitation!
Publications
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Qiaosong Chu, Shuyan Li, Guangyi Chen, Kai Li and Xiu Li Association for the Advancement of Artificial Intelligence (AAAI), 2023 [PDF] [Video] [Code] We propose an adversarial learning based source free object detection method. |
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Shuyan Li, Xiu Li, Jiwen Lu and Jie Zhou IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021 [PDF] This is the journal version of NPH. Compared with NPH, we further develop an encoding network that can capture the hierachical structure of a video. |
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Shuyan Li, Xiu Li, Jiwen Lu and Jie Zhou IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 [PDF] [Code] We propose a self-supervised learning framework to capture bidirectional correlations among videos based on transformers. |
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Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, and Jie Zhou IEEE International Conference on Computer Vision (ICCV), 2019 [PDF] We learn video hash functions via exploiting the neighborhood structure among videos. |
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Shuyan Li, Zhixiang Chen, Xiu Li, Jiwen Lu, and Jie Zhou IEEE Transactions on Multimedia (TMM), 2020 [PDF] We propose a variational mechanism to learn robust video hash representation. |
Teaching
Module owner, CSC1025 Procedural programming, School of EEECS, Queen’s University Belfast, 2024.
Instructor, Digital Twin Workshop, University of Cambridge, 2024.
Module co-designer, 4D4: Digital Construction, University of Cambridge, 2023.
Demonstrator & Marking, 3F8: Inference, Department of Engineering, University of Cambridge, Lent term 2023
TA, Computer culture basis, awarded as “Outstanding TA”, Tsinghua University, Fall 2020
Teacher, Music, Central elementary school in Huangtu Town, Guizhou Province, Summer 2021
Academic Services
Program chair: BMVC2024 Workshop - DIFA: Deep Learning-based Image Fusion and Its Applications
Conference Reviewer: AAAI, ICASSP, ICME, PRCV, WACV, ICIP, etc.
Journal Reviewer: IEEE TPAMI, IEEE/ACM TASLP, IEEE TIP, IEEE TMM, IEEE TCSVT, PR, Neurocomputing, etc.
| © Shuyan Li | Last updated: Oct., 2024 |