I am a Ph.D. student in Computer Science & Engineering at University of Minnesota, Twin Cities. I am fortunate to be advised by Prof. Ju Sun and Prof. Vladimir Cherkassky. Simultaneously, I am pursuing the minor degree (doctoral) in Health Informatics. Before starting my Ph.D. study, I have obtained my Master and Bachelor degree in Computer Science at Jilin University where I was advised by Prof. Liang Hu.

I am interested in machine learning, deep learning, computer vision, image processing, and the general applications of machine learning/deep learning in healthcare and medical settings.


  1. 2022-05: I am thrilled to join Bytedance/TikTok as a research intern in Computer Vision this Summer.

  2. 2022-05: Our paper Performance of a Chest Radiograph AI Diagnostic Tool for COVID-19: A Prospective Observational Study has been accepted by Radiology: Artificial Intelligence.

  3. 2021-12: Our paper Early Stopping for Deep Image Prior is available at arXiv.

  4. 2021-10: Our paper Self-Validation: Early Stopping for Single-Instance Deep Generative Priors has been accepted by BMVC2021.

  5. 2021-06: The preprint of our study about transfer learning in medical imaging is available at arXiv.

  6. 2021-06: The preprint of our study on COVID-19 is available at medRxiv.

  7. 2021-04: Our paper with Medical School has been accepted by Neurosurgery.

  8. 2020-09: Press coverage about our COVID-19 healthcare project is available at CSE News, UMN News, and StarTribune.

Work Experience

  • Research intern in Computer Vision at Bytedance/TikTok | Summer 2022

Honors and Awards

Professional Services

Journals and Conferences Reviewer

Conferences Volunteer