Scholar
Xingyu Li
Google Scholar ID: V8OICzYAAAAJ
Associate Professor, Electrical and Computer Engineering, University of Alberta
Citations & Impact
Citations
2,622
H-index
18
i10-index
33
Publications
20
Co-authors
8
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Current research projects include: Trustworthy AI (adversarial attack and robustness, anomaly detection, domain generalization, safe unlearning, etc.), Computer Vision (label-efficient learning, biomedical image analysis, open-set problems, etc.), AI for Health (assisted-robotic data analysis, automated cranial implant design, novel medical imaging modality, etc.). Teaching courses: EXEN 2452 - Applications with Deep and Graphical Networks, ECE740 - Deep Learning in Computer Vision, ECE380 - Introduction to Communication Systems, ECE342 - Probability for Electrical and Computer Engineers.
Research Experience
- She is currently an Associate Professor in the Department of Electrical and Computer Engineering at the University of Alberta. Prior to joining the University of Alberta, she was a postdoctoral fellow at the University of Toronto and had a postgraduate affiliation with the Vector Institute for Artificial Intelligence. Additionally, she has experience in the semiconductor industry as a video algorithm engineer.
Education
- B.Sc. in EECS from Peking University; M.Sc. from the University of Alberta; Ph.D. from the University of Toronto.
Background
- Her research interests include trustworthy AI, machine learning, computer vision, anomaly/fault detection and monitoring, computational medical imaging, and visual data analytics. She is a Fellow at the Alberta Machine Intelligence Institute (Amii) and a member of AI4Society, the Cancer Research Institute of Northern Alberta (CRINA), and the Women and Children’s Health Research Institute (WCHRI).
Miscellany
- Pronouns: she/her.
