Xi’an Jiaotong-Liverpool University - China
AUTHOR PROFILE
ACADEMIC BACKGROUND
Dr. Yuxuan Zhao is an accomplished Assistant Professor at the School of AI and Advanced Computing (AIAC) at Xi’an Jiaotong-Liverpool University (XJTLU), Taicang Campus. He completed his PhD in Computer Science from the University of Liverpool in 2022 and holds an MSc in Computer Graphics, Vision and Imaging from University College London, earned in 2017. His academic journey reflects a robust foundation in advanced computing and artificial intelligence.
RESEARCH INTERESTS
Dr. Zhao’s research encompasses a broad spectrum of advanced technological fields. His primary interests include deep learning, image and video processing, computer vision, and the application of machine learning techniques. His work aims to push the boundaries of how these technologies can be utilized to solve complex real-world problems.
RESEARCH PROJECTS
Dr. Zhao is engaged in several cutting-edge research projects. His work on "Deep Learning in Video Anomaly Detection" and "Radar Signal Processing Based on Neural Network Sequence Mode" highlights his focus on innovative applications of machine learning. He is also involved in "Computer Vision-Based Traffic Accident Detection" and the governmental project "Intelligent Multimodal Data Analysis for Digital Twin Cities," reflecting his commitment to advancing technology in practical and impactful ways.
PROCEEDINGS AND PUBLICATIONS
Dr. Zhao has contributed to numerous high-profile conferences and journals. His recent papers include "Appearance-Motion United Memory Autoencoder for Video Anomaly Detection," presented at the 2023 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, and "YOLOv5s-Transformer: Improved YOLOv5 Network for Real-Time Detection of Cigarette Smoking," showcased at the 2023 4th International Seminar on Artificial Intelligence, Networking, and Information Technology. His research demonstrates a deep engagement with current trends and challenges in computer vision and AI.
CONFERENCE PARTICIPATION
Dr. Zhao has actively participated in the academic community by presenting at leading conferences and contributing to the advancement of knowledge in his field. His presentations at various international seminars and conferences underscore his role in shaping the future of AI and computer vision.
INNOVATIVE RESEARCH CONTRIBUTIONS
Dr. Zhao’s innovative contributions include the development of intelligent algorithms for multi-mobile robot systems and autonomous alert generation for disaster management. His early work, such as the design of algorithms for Wi-Fi access point roaming, highlights his long-standing dedication to addressing diverse technological challenges.
GOVERNMENTAL RESEARCH PROJECTS
Currently, Dr. Zhao is involved in several governmental research initiatives, including the "Suzhou Multimodal Big Data Innovation Application Lab," which aims to enhance the application of big data and AI technologies. These projects reflect his ongoing commitment to leveraging advanced technologies for societal benefit.
NOTABLE PUBLICATION
A Novel Two-Stream Structure for Video Anomaly Detection in Smart City Management
Authors: Zhao, Y., Man, K.L., Smith, J., Guan, S.-U.
Year: 2022
Journal: Journal of Supercomputing
Pages: 3940–3954
Improved Two-Stream Model for Human Action Recognition
Authors: Zhao, Y., Man, K.L., Smith, J., Siddique, K., Guan, S.-U.
Year: 2020
Journal: Eurasip Journal on Image and Video Processing
Article: 24
Erratum: RingText: Dwell-free and Hands-free Text Entry for Mobile Head-Mounted Displays Using Head Motions
Authors: Xu, W., Liang, H.-N., Zhao, Y., Yu, D., Monteiro, D.
Year: 2019
Journal: IEEE Transactions on Visualization and Computer Graphics
Volume: 25
DOI: 10.1109/TVCG.2019.2898736
DMove: Directional Motion-based Interaction for Augmented Reality Head-Mounted Displays
Authors: Xu, W., Liang, H.-N., Zhao, Y., Yu, D., Monteiro, D.
Year: 2019
Conference: Conference on Human Factors in Computing Systems - Proceedings
RingText: Dwell-free and Hands-free Text Entry for Mobile Head-Mounted Displays Using Head Motions
Authors: Xu, W., Liang, H.-N., Zhao, Y., Yu, D., Monteiro, D.
Year: 2019
Journal: IEEE Transactions on Visualization and Computer Graphics