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Xingyu Li

Assistant Professor

About Me


I am an assistant professor in the Department of Electrical and Computer Engineering, University of Alberta. I am an Alberta Machine Intelligence Institute (Amii) Fellow, and also a mermber of AI4Society, Cancer Research Institute of Northern Alberta (CRINA), and The Women and Children’s Health Research Institute (WCHRI).

I received B.Sc from Peking University, M.Sc from University of Alberta, under Dr. Vicky H. Zhao, and Ph.D from University of Toronto, under Dr. Konstantinos N. Plataniotis. Before joining the University of Alberta, I was a postdoctoral fellow at University of Toronto and a postgraduate affiliation of Vector Institute for Artificial Intelligence. Besides academia, I also worked in industry as a video algorithm engineer.

My research interests include machine learning, computer vision, AI for health, medical image computing, deep learning security, and color visual signal processing. A general theme is intelligent computational systems for (i) multi-dimensional data analytics and understanding, (ii) computer vision, and (iii) health informatics. My research outcomes have been applied to biologists' state-of-the-art study on pathology image based breast cancer prognosis.

My research projects include:
  • Computational medical imaging (computational pathology, trusted diagnostic systems, weak-supervision segmentation, etc) [publications]
  • AI for health (EEG signal analysis, cranial implant design, assisted-robotic surgical data analysis, computational methods for COVID-19, etc) [publications]
  • Learning-based visual data analysis (visual-based anomaly detection, open-set problems, etc.) [publications]
  • Security in deep learning (adversarial attack/training, data poison detection, etc.) [publications]
Some of the works: