Staff profile

I am a PhD student supervised by Dr Hubert P. H. Shum and Dr Noura Al Moubayed in Computer Science at Durham University. My research focuses on integrating Geometric Information into computer vision applications, particularly in the analysis of Biomedical Engineering videos. Before this, I received my MRes degree from King's College London, my MSc degree from the University of Southampton, and my Bachelor's degree from Beijing University of Chinese Medicine.

I am incredibly thankful to my supervisors and collaborators and enjoy exploring new domains through collaborations. If you have questions or would like to work together, please feel free to reach out through email.

If you are interested in more detailed information about my experience, please visit my personal website: https://francisxzhang.github.io.

• Computer Vision
• Egocentric Vision
• Geometric Deep Learning

Conference Paper

• Zhang, X., Zheng, S., Shum, H. P., Zhang, H., Song, N., Song, M., & Jia, H. (2023). Correlation-Distance Graph Learning for Treatment Response Prediction from rs-fMRI. In Neural Information Processing 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part IX (298-312). https://doi.org/10.1007/978-981-99-8138-0_24
• Zhang, X., Zhang, H., & Shum, H. P. (2022). Pose-based Tremor Classification for Parkinson’s Disease Diagnosis from Video. . https://doi.org/10.1007/978-3-031-16440-8_47
• Zhang, X., Al Moubayed, N., & Shum, H. P. (2022). Towards Graph Representation Learning Based Surgical Workflow Anticipation. . https://doi.org/10.1109/bhi56158.2022.9926801

Journal Article

• Zhang, H., Ho, E. S. L., Zhang, X., Del Din, S., & Shum, H. P. H. (2024). Pose-based tremor type and level analysis for Parkinson’s disease from video. International Journal of Computer Assisted Radiology and Surgery, https://doi.org/10.1007/s11548-023-03052-4