Le Peng (彭乐)

Ph.D student


Department of Computer Science & Engineering

University of Minnesota


Email: peng0347 [at] umn.edu

Here is my CV [pdf]

About Me

Hi there! My name is Le Peng. Currently, I am an Third-year Ph.D student at University of Minnesota.

My current research interests are machine learning, computer vision, healthcare.

Completed Projects

A Prospective Observational Study to Investigate Performance of a Chest X-ray Artificial Intelligence Diagnostic Support Tool Across 12 U.S. Hospitals


Ju Sun, Le Peng, Taihui Li, Dyah Adila, Zach Zaiman, Genevieve Melton, Nicholas E Ingraham, Eric Murray, Daniel Boley, Sean Switzer, John L Burns, Kun Huang, Tadashi Allen, Scott D Steenburg, Judy Wawira Gichoya, Erich Kummerfeld, Christopher J Tignanelli medRxiv, 2021

A real world implement of covid-19 chest Xray diagnoisis model. Press coverage can be found in l StarTribune and UMN News

Rethink Transfer Learning in Medical Imaging


Le Peng, Hengyue Liang, Taihui Li, Ju Sun. Submitted to International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Mar 2021.



A novel approach toward boosting performance on meidcal image classifcation tasks

Early Stopping beyond Supervised Learning: Self-Validation


Taihui Li, Zhong Zhuang, Hengyue Liang, Le Peng, Hengkang Wang, Ju Sun. Submitted to British Machine Vision Conference (BMVC), Jun 2021.



A step step toward early stopping method on supervised learning method

Can be adapted to various modes (e.g. DIP) on different image reconsturction tasks

Ongoing Projects

Federated Learning on Medical imaging


Collaborate with Indiana University, Emory University Fairview, and Nvidia to develop a federated learning system for COVID-19 diagnosis model Using Nvidia Clara Train framework to implement the real-world federated learning system