Miao Zhang
miaozhng (at) nyu (dot) edu
I am a second year Ph.D. student at New York University, advised by Prof. Rumi Chunara. I am a member of ChunaraLab and ViDA.
I have broad interests in the intersection of deep learning for computer vision and algorithmic fairness. My current research aims to unpack bias source for real-world vision datasets and develop fairness methods. With that goal, I have explored topics of self-supervised learning, transfer learning.
Previously, I obtained my Masters degree in CCRMA from Stanford University, where I performed research in federated learning for medical image analysis at QIAI advised by Prof. Daniel Rubin. I finished my undegrad in Electrical Engineering at Beijing University of Posts and Telecommunications, when I started the machine learning journey advised by Prof. Dong Wang in Tsinghua University.
news
Nov 15, 2022 | New paper on arXiv. We discuss fairness issue in contrastive representation learning for geographic image segmentation tasks and propose a bias mitigation method. |
Nov 15, 2022 | I gave a graduate student presentation about my research at Diversity in Research Conference (DIRC 22) |
Jun 20, 2022 | Our paper is accepted by TCV CVPR 2022 for oral presentation. |
Apr 10, 2022 | My Master’s work is accepted by IEEE Journal of Biomedical and Health Informatics. |
Sep 1, 2021 | Started my Ph.D. program in Computer Science at NYU Tandon! |