• Fair contrastive pre-training for geographic images (under review)
    Miao Zhang, Rumi Chunara
    [ Draft]

  • Segmenting across places: The need for fair transfer learning with satellite imagery
    Miao Zhang, Harvineet Singh, Lazarus Chok, Rumi Chunara
    Fair, Data-efficient, and Trusted Computer Vision (TCV), 2022
    [ Paper]

  • Splitavg: A heterogeneity-aware federated deep learning method for medical imaging
    Miao Zhang, Liangqiong Qu, Praveer Singh, Jayashree Kalpathy-Cramer, Daniel L Rubin
    IEEE Journal of Biomedical and Health Informatics, 2022
    [ Paper]

  • Handling data heterogeneity with generative replay in collaborative learning for medical imaging
    Liangqiong Qu, Niranjan Balachandar, Miao Zhang, Daniel Rubin
    Medical Image Analysis, 2022
    [ Paper]

  • Human and machine speaker recognition based on short trivial events
    Miao Zhang, Xiaofei Kang, Yanqing Wang, Lantian Li, Zhiyuan Tang, Haisheng Dai, Dong Wang
  • IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018*
    [ Paper]