Le Peng (彭乐)
Department of Computer Science & Engineering
University of Minnesota, Twin City
Hi there! I am a fourth-year Ph.D. student in Computer Science and Engineering at the University of Minnesota (UMN, twin-city), advised by Prof. Ju Sun. Previously, I received my B.Sc. in Computer Science and Engineering from the Harbin Institute of Technology (HIT). My research interests lie at the intersection of machine learning and healthcare.
🌟 News 🌟
[Oct 2022] Our workshop paper (as the first author) "Imbalanced Classification in Medical Imaging via Regrouping" is accepted by NeurIPS’22 Workshop: When Medical Imaging Meets NeurIPS!
[Oct 2022] My poster won the 3rd prize at 2022 IEM Annual Conference Poster Competition!
[Sep 2022] I will have a poster presentation at 2022 IEM annual conference!
[Sep 2022] Our pape (as the first author) "Evaluation of Federated Learning Variations for COVID-19 diagnosis using Chest Radiographs from 42 US and European hospitals." is accepted by Journal of the American Medical Informatics Association (JAMIA) 2022!
[Sep 2022] Our group teams up with colleagues from UMN medical department and participates in NIH Long COVID Computational Challenge (L3C) to help understand Long Covid.
[May 2022] Our paper "A Prospective Observational Study to Investigate Performance of a Chest X-ray Artificial Intelligence Diagnostic Support Tool Across 12 U.S. Hospitals" has been accepted by Radiology: Artificial Intelligence!
[Apr 2022] We submit our paper "Evaluation of Federated Learning Variations for COVID-19 diagnosis using Chest Radiographs from 42 US and European hospitals." to Journal of the American Medical Informatics Association (JAMIA).
[Nov 2021] I am honored to be recognized as Cisco Research Fellow!
[Oct 2021] Our paper “Self-Validation: Early Stopping for Single-Instance Deep Generative Priors” is accepted by British Machine Vision Conference (BMVC) 2021!
[Sep 2021] Our federated learning research project is highlighted in NVIDIA Clara white paper!
[Sep 2021] We are among the first group that builds a real-world federated learning system in healthcare. Thanks to our collaborators from Health Fairview, Emory University, Indiana University, and NVIDIA!