Yizhe Zhang is a researcher in medical and biological image analysis, with a focus on machine learning for image segmentation, efficient learning, and reliable evaluation. His work sits at the intersection of algorithm development and clinical translation, with an emphasis on building practical and trustworthy AI methods for real-world healthcare. He is interested in data-efficient training, robust model assessment, and human–AI collaboration to support deployment in clinical settings.
publications
work experience
associate professor @ Nanjing University of Science and Technology, Nanjing, Jiangsu, China, Aug. 2021 – present
senior research engineer @ Qualcomm AI Research, San Diego, USA, Jan. 2020 – June 2021
summer intern @ Qualcomm AI Research, San Diego, USA,
May 2017 – July 2017
education
Ph.D. in Computer Science and Engineering, University of Notre Dame, South Bend, USA, Thesis Advisor: Prof. Danny Z. Chen
M.S. in Computer Science, New York University, New York City, USA
B.S. in Computer Science, Hohai University, Nanjing, China
awards & recognition
CVPR 2022 best demo honorable mention (AuxAdapt demo).
CVPR 2021 outstanding reviewer.
2017 PNAS Cozzarelli Prize (with M. A. Fredericksen, M. L. Hazen, R. G. Loreto, C. A. Mangold, D. Z. Chen, and D. P. Hughes) for our work “Three-dimensional Visualization and a Deep Learning Model Reveal Complex Fungal Parasite Networks in Behaviorally Manipulated Ants.”
CSE outstanding teaching assistant, University of Notre Dame, April 2016.
contact
zhangyizhe@njust.edu.cn
yizhe.zhang.cs@gmail.com
Yizhe Zhang 