Yan Sun

🎓 PhD, Associate Professor, Master Supervisor

🏫 School of Computer Engineering and Science, Shanghai University

News

💬 We are now looking for self-motivated graduate candidates and undergraduate students, who have solid mathematical and coding skills, to join us! If you are interested in our work, welcome to send an e-mail with your detailed CV.

About

Dr. Yan Sun is Shanghai Pujiang Talent. She received her Ph.D. from the University of Southampton, UK, in 2018, under the supervision of Professor Mark Nixon and Professor Jonathon Hare.

She has led and contributed to several national and provincial-level research projects, including a National Natural Science Foundation of China (NSFC) project, the Scientific Research Fund for Outstanding Young Teachers (Key Project), and major NSFC projects and high-tech programs funded by the Ministry of Industry and Information Technology.

Her research interests mainly focus on computer vision, deep learning, and video understanding, with a focus on the recognition and analysis of various motion patterns in videos.

Interests

Computer Vision
Deep Learning
Motion Analysis
Gait Analysis
Action Recognition

Selected Publications

Yan Sun, X. Feng, L. Ma, L. Hu, M. Nixon. TriGait: Hybrid Fusion Strategy for Multimodal Alignment and Integration in Gait Recognition. IEEE Transactions on Biometrics, Behavior, and Identity Science, 2025.
Yan Sun, L. Hu, X. Feng, M. Nixon. GaitASMS：Gait Recognition by Adaptive Structured Spatial Representation and Multi-Scale Temporal Aggregation. Neural Computing and Applications，2024.
B. Li, Yan Sun, X. Chen, X. Luo. HKFNet: Fine-Grained External Knowledge Fusion for Fact-Based Visual Question Answering, International Joint Conference on Neural Networks, 2024.
B. Cai, L. Ma, Yan Sun. Dual Consistent Pseudo Label Generation for Multi-Source Domain Adaptation without Source Data for Medical Image Segmentation. Front. Neurosci. 17:1209132, 17, 2023.
Yan Sun, J. Hare, M. Nixon, On Parameterizing Higher-order Motion for Behavior Recognition, Pattern Recognition. 2021.

Contact

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