Biography
Ms. Carol Chen Y.X. is an Assistant Lecturer in the Department of Electrical and Computer Engineering at The University of Hong Kong (HKU) and serves as the Assistant Director of the Sport AI Laboratory. She holds a double Bachelor’s degree with Distinction from Shenzhen University (SZU) and Umea University (Sweden), as well as a Master’s degree with Distinction from HKU. Ms. Chen has received numerous awards for her academic and professional excellence, including the Faculty Knowledge Exchange Award (HKU EEE), the Arthur and Louise May Memorial Fund Scholarship, the China National Scholarship, the Hong Kong ICT Awards, and the Geneva Invention Gold&Grand Awards. In addition to her teaching and research roles, Ms. Chen leads a dedicated team working on cutting-edge projects in real-world abnormal detection, video understanding, large-scale models, and human posture analysis, contributing meaningfully to both academia and industry. She also serves as a reviewer for top journals and conferences.
Related Links
Selected Publications
- Y Chen, Z Liu, B Zhang, W Fok, X Qi, YC Wu. Mgfn: Magnitude-contrastive glance-and-focus network for weakly-supervised video anomaly detection. Proceedings of the AAAI conference on artificial intelligence 37 (1), 387-395
- WWT Fok, LCW Chan, C Chen. Artificial intelligence for sport actions and performance analysis using recurrent neural network (RNN) with long short-term memory (LSTM). Proceedings of the 4th International Conference on Robotics and Artificial Intelligence
- WB Kou, S Wang, G Zhu, B Luo, Y Chen, DWK Ng, YC Wu. Communication resources constrained hierarchical federated learning for end-to-end autonomous driving. 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems
- B Zhang, CY Chen, LC Chan, W Fok. Intelligent sports performance scoring and analysis system based on deep learning network. 2020 3rd. International Conference on Artificial Intelligence and Big Data
- J Liu, X Wen, S Zhao, Y Chen, X Qi. Can OOD Object Detectors Learn from Foundation Models?. The European Conference on Computer Vision (ECCV)