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Electrical and Computer Engineering

Education:

PhD in Computer Science
Rochester Institute of Technology, 2023
Thesis title “Unsupervised Progressive and Continual Learning of Disentangled Representations”.

Master in Electrical and Computer Engineering
University of Rochester, 2016

Bachelor in Information Engineering
South China University of Technology, 2014

Research interests:

My research interests lie in Unsupervised Representation Learning, Deep Generative Models, and Computational Biomedicine. I am currently dedicated to develop advanced techniques for diffusion-weighted MRI harmonization in MASI.

Awards:

• ICLR 2020 Spotlight talk
• ICLR 2023 Notable-top-25%

VISE Affiliate:

Bennett Landman
Chair, Department of Electrical and Computer Engineering
Professor of Electrical Engineering, Computer Engineering, and Computer Science, Chancellor Faculty Fellow

Lab:

Medical-image Analysis and Statistical Interpretation Lab (MASI)