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 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.
News
2022-05: I am thrilled to join Bytedance/TikTok as a research intern in Computer Vision this Summer.
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.
2021-12: Our paper Early Stopping for Deep Image Prior is available at arXiv.
2021-10: Our paper Self-Validation: Early Stopping for Single-Instance Deep Generative Priors has been accepted by BMVC2021.
2021-06: The preprint of our study about transfer learning in medical imaging is available at arXiv.
2021-06: The preprint of our study on COVID-19 is available at medRxiv.
2021-04: Our paper with Medical School has been accepted by Neurosurgery.
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
ADC Graduate Fellowship, University of Minnesota
Distinguished Graduate, Jilin University
Graduate Student Fellowship, Jilin University
Excellent Academic Scholarship (Graduate), Jilin University
Distinguished Graduate Student Cadres, Jilin University
Excellent Academic Scholarship (Undergraduate), Jilin University
Professional Services
Journals and Conferences Reviewer
Reviewer for Pattern Recognition
Reviewer for International Journal of Numerical Modelling, Certificate
Reviewer for Journal of Network and Systems Management
Reviewer for Neural Information Processing Systems (NeurIPS) | 2021
Reviewer for International Conference on Machine Learning (ICML) | 2021, 2022
Reviewer for International Conference on Learning Representations (ICLR) | 2021, 2022
Conferences Volunteer
Volunteer for Neural Information Processing Systems (NeurIPS) | 2021
Volunteer for International Conference on Machine Learning (ICML) | 2021, Certificate
Volunteer for International Conference on Learning Representations (ICLR) | 2021, 2022, Certificate2021, Certificate2022
