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Profile

Dr Yuxuan Zhao is a lecturer at the School of AI and Advanced Computing (AIAC) at XJTLU Entrepreneur College (Taicang). He received his PhD in Computer Science from the University of Liverpool in 2022, and MSc in Computer Graphics, Vision and Imaging from University College London in 2017.

His research interests include deep learning, computer vision and video anomaly detection.

Qualifications
- PhD in Computer Science, University of Liverpool, 2022
- MSc in Computer Graphics, Vision and Imaging, University College London, 2017
- BSc in Information and Computing Science, Xi'an Jiaotong-Liverpool University, 2015
Experience
- Lecturer, Xi'an Jiaotong-Liverpool University, 2022 - present
Research interests
- Video Anomaly Detection
- Computer Vision
- Deep Learning
Articles
- Zhao, Y., Man, K.L., Smith, J. and Guan, S.U., 2021. A novel two-stream structure for video anomaly detection in smart city management. The Journal of Supercomputing, pp.1-15
- Zhao, Y., Man, K.L., Smith, J., Siddique, K. and Guan, S.U., 2020. Improved two- stream model for human action recognition. EURASIP Journal on Image and Video Processing, 2020(1), pp.1-9
- Han, Z., Zhao, Y. and Man, K.L., 2019. Design and Implementation of the Enhanced Public Video Press for Unforeseeable Events Management. Journal of Industrial Information Technology and Application (JIITA), vol.3 no.4, pp.294-297
- Zhu, Y., Zhao, Y. and Man, K.L., 2018. Comparative Studies of Segmentation Algorithms. International Journal of Design, Analysis and Tools for Integrated Circuits and Systems, 7(1), pp.59-62
Proceedings
- Wang, Y., Zhu, S., Zhao, Y., Zhang, J. and Man, K.L., 2022. An Enhanced Video Anomaly Detection System for Smart City Management. In Conference of the Korea Institute of Intelligent Transport Systems 2022, pp.1139-1143
- Zhao, Y., Gabriela, M. and Man, K.L., 2021. Video Anomaly Detection by the Combination of C3D and LSTM. in Proceedings of International Conference on Digital Contents: AICo (AI, IoT and Contents) Technology 2021
- Zhao, Y., Zhang, J. and Man, K.L., 2020. LSTM-based Model for Unforeseeable Event Detection from Video Data. in Proceedings of The International Conference on Recent Advancements in Computing in AI, IoT and Computer Engineering Technology (CICET) 2020, pp.41
- Zhao, Y. and Man, K.L., 2017. Autonomous Alert Generation and Recommendation for Disaster Management. in Proceedings of RESKO Technical Conference 2017, pp.100-101
- Zhao, Y., Man, K.L., Liang, H.N., Wang, W., Yue, Y. and Jeong, T., 2015. Design of intelligent algorithms for multi-mobile robot systems. In International SoC Design Conference (ISOCC) 2015, pp.177-178
- Wang, L., Zhao, Y., Afolabi, D., Man, K.L., Liang, H.N., Liu, D., Lam, Y.F., Fleming, C. and Tayahi, M., 2015. Wi-Fi Access Point Roaming: Challenges and Potential Solutions. In 18th International Conference on Network-Based Information Systems 2015, pp.158-161
Courses taught
- DTS204TC

Yuxuan ZhaoPhD

Profile

Qualifications

Experience

Research interests

Articles

Proceedings

Courses taught