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Taihui Li
Ph.D. Student
Department of Computer Science & Engineering
University of Minnesota
Contact: Email, Google Scholar, Github, Linkedin


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 a minor degree (doctoral) in Health Informatics. Before starting my Ph.D. study, I obtained my Master's and Bachelor's 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, data analytics, and general applications of machine learning/deep learning in healthcare and medical settings.

News

  1. 2023-12: Our paper collaborated with Sony Corporation of America has been accepted to ICASSP2024.

  2. 2023-11: Our paper has been accepted to TMLR.

  3. 2023-09: I am thrilled to join PureBiox as a research intern in Computer Vision this Fall.

  4. 2023-09: Our paper Joint Demosaicing and Denoising with Double Deep Image Priors collaborated with Sony Corporation of America is available on arXiv.

  5. 2023-09: Our paper has been accepted to BMVC as Oral.

  6. 2023-08: Our paper has been accepted to IJCV.

  7. 2023-05: I am thrilled to join Sony as a research intern in Computer Vision this Summer.

  8. 2023-02: Our paper has been accepted to CVPR2023.

  9. 2023-02: Two of our papers have been accepted to ICASSP2023.

  10. 2022-11: We submit our paper Deep Random Projector: Accelerated Deep Image Prior to CVPR2023.

  11. 2022-10: We submit our paper Robust Autoencoders for Collective Corruption Removal to ICASSP2023.

  12. 2022-10: We submit our paper Random Projector: Efficient Deep Image Prior to ICASSP2023.

  13. 2022-09: I am thrilled to join Uber as a Ph.D. Software Engineer Intern this Fall.

  14. 2022-08: Our paper Blind Image Deblurring with Unknown Kernel Size and Substantial Noise is available at arXiv.

  15. 2022-05: I am thrilled to join Bytedance/TikTok as a research intern in Computer Vision this Summer.

  16. 2022-05: Our paper Performance of a Chest Radiograph AI Diagnostic Tool for COVID-19: A Prospective Observational Study has been accepted to Radiology: Artificial Intelligence.

  17. 2021-12: Our paper Early Stopping for Deep Image Prior is available at arXiv.

  18. 2021-10: Our paper has been accepted to BMVC2021.

  19. 2021-06: The preprint of our study about transfer learning in medical imaging is available at arXiv.

  20. 2021-06: The preprint of our study on COVID-19 is available at medRxiv.

  21. 2021-04: Our paper with Medical School has been accepted to Neurosurgery.

  22. 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 PureBiox | Fall 2023

  • Research Intern in Computer Vision at Sony | Summer 2023

  • Ph.D. Software Engineer Intern at Uber | Fall 2022

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

Honors and Awards

Professional Services

Journals and Conferences Reviewer

Conferences Volunteer