I am a Ph.D. student at MIT. My advisor is Prof. Dina Katabi at CSAIL. Before coming to MIT, I recieved my Bachelor degree in 2015 from Peking University.

I develop intelligent sensing technologies leveraging techniques from wireless systems, computer vision and machine learning.



Recent News:

  • We showed a real-time demo of Through-Wall 3D Human Skeletons at SIGCOMM 2018.
  • Our recent work on 3D Human Pose Estimation is accepted at SIGCOMM 2018.
  • Through-Wall Human Pose Estimation is accepted at CVPR 2018 as a spotlight presentation.
  • EQ-Radio (MobiCom 2016) was featured in ACM SIGMOBILE Research Highlights of 2017.
  • Our emotion detection wireless device is the topic of an entire episode in The Big Bang Theory.
  • Publications:

    New: RF-Based 3D Skeletons
    M. Zhao, Y. Tian, H. Zhao, M. Alsheikh, T. Li, R. Hristov, Z. Kabelac, D. Katabi and A. Torralba
    ACM SIGCOMM, 2018
    [PDF] [Website]



    Emotion Recognition using Wireless Signals
    M. Zhao, F. Adib and D. Katabi
    ACM International Conference on Mobile Computing and Networking (MobiCom), 2016
    [PDF] [Website] [Video] [Slides] [The Big Bang Theory episode]
    ACM SIGMOBILE Research Highlights
    CACM Research Highlights

    VeTrack: Real Time Vehicle Tracking in Uninstrumented Indoor Environments
    M. Zhao, R. Gao, T. Ye, F. Ye, Y. Wang and G. Luo
    ACM Conference on Embedded Networked Sensor Systems (SenSys), 2015
    [PDF]

    Predictive Encoding of Contextual Relationships for Perceptual Inference, Interpolation and Prediction
    M. Zhao, C. Zhuang, Y. Wang and T.S. Lee
    International Conference on Learning Representations (ICLR), 2015
    [PDF]

    Jigsaw: Indoor Floor Plan Reconstruction via Mobile Crowdsensing
    R.Gao, M. Zhao, T. Ye, F. Ye, Y. Wang, K. Bian, T. Wang and X. Li
    ACM International Conference on Mobile Computing and Networking (MobiCom), 2014
    [PDF]

    Poster Abstract: VeLoc: Finding Your Car in the Parking Lot
    M. Zhao, R. Gao, J. Zhu, T. Ye, F. Ye, Y. Wang, K. Bian, M. Zhang and G. Luo
    ACM Conference on Embedded Networked Sensor Systems (SenSys), 2014
    [PDF]

    Text Detection and Localization from Complex Background
    M. Zhao and Y. Chen
    International Joint Workshop on Machine Perception and Robotics (MPR), 2013

    Journals:


    Smartphone-based Real Time Vehicle Tracking in Indoor Parking Structures
    R. Gao, M. Zhao, T. Ye, F. Ye, Y. Wang and G. Luo
    IEEE Transactions on Mobile Computing, July 2017
    [PDF]

    Multi-story Indoor Floor Plan Reconstruction via Mobile Crowdsensing
    R.Gao, M. Zhao, T. Ye, F. Ye, Y. Wang, K. Bian, T. Wang and X. Li
    IEEE Transactions on Mobile Computing, June 2016
    [PDF]

    Press:


    Learning Sleep Stages from Radio Signals was covered by: MIT News, Science, TechCrunch, Digital Trends, Gizmodo, IEEE Spectrum, PCMag, Science Daily, Engadget, DailyMail, TrendinTech, New Atlas, Boston Globe, Medgadget, Electronics360, TNW, Boston Bussiness Journal and other media outlets.

    EQ-Radio was covered by: MIT News, The Wall Street Journal‎, Forbes, IEEE Spectrum, CBC, CCTV, CNN, CBS, Popular Science, Scientific American, Gizmodo, Business Insider, Fast Company, Engadget, Futurism, TechRepublic, TechCrunch, Consumerist, and other media outlets.


    Contact:

    MIT Computer Science & Artificial Intelligence Lab
    32 Vassar Street, 32-G918
    Cambridge, MA 02139
    mingmin@mit.edu
    [Google Scholar]