• Leveraging vision-language models for fair facial attribute classification
    Miao Zhang, Rumi Chunara
    [ Preprint]

  • Common sense bias modeling for classification tasks.
    Miao Zhang, Zee fryer, Ben Colman, Ali Shahriyari, Gaurav Bharaj
    AAAI Conference on Artificial Intelligence (AAAI), 2025
    [ Paper]

  • Mitigating urban-rural disparities in contrastive representation learning with satellite imagery
    Miao Zhang, Rumi Chunara
    AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2024
    [ Paper]

  • Impact on Public Health Decision Making by Utilizing Big Data Without Domain Knowledge
    Miao Zhang, Salman Rahman, Vishwali Mhasawade, Rumi Chunara
    Proceedings of the National Academy of Sciences (PNAS)
    [ Paper]

  • FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning
    Junyuan Zhang, Shuang Zeng, Miao Zhang, Runxi Wang, Feifei Wang, Yuyin Zhou, Paul Pu Liang, Liangqiong Qu
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
    [ Paper]

  • 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
    [ Paper]

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