Mingmin Zhao

Assistant Professor, Computer and Information Science
University of Pennsylvania

503 Levine Hall
3330 Walnut Street, Philadelphia, PA 19104

mingminz at cis dot upenn dot edu

Google Scholar / Twitter

I am an Assistant Professor in the Computer and Information Science Department at the University of Pennsylvania. I also hold a secondary appointment in the Electrical and Systems Engineering Department. Previously, I received my Ph.D. from MIT, working with Prof. Dina Katabi, and my B.S. from Peking University.

Research Interests:
Please check the video highlights and the dissertation about my past research.
Through-Wall Human Pose Estimation
Contactless Sleep Monitoring
Wireless Heartbeats and Emotion Sensing
Publications (selected):
Wireless Sensing with Machine Learning: Through-Wall Vision & Contactless Health Monitoring
Mingmin Zhao
Ph.D. Dissertation, MIT 2022 / Thesis
ACM SIGMOBILE Doctoral Dissertation Award Runner-up

Assessment of Medication Self-Administration using Artificial Intelligence
Mingmin Zhao*, Kreshnik Hoti*, Hao Wang, Aniruddh Raghu and Dina Katabi
Nature Medicine, 27, 727-735 (2021) / Paper   5-year Impact Factor: 68.31

Making the Invisible Visible: Action Recognition Through Walls and Occlusions
Tianhong Li*, Lijie Fan*, Mingmin Zhao, Yingcheng Liu, and Dina Katabi
ICCV 2019 / Paper / Website / Demo Video

Through-Wall Human Mesh Recovery Using Radio Signals
Mingmin Zhao, Yingcheng Liu, Aniruddh Raghu, Tianhong Li, Hang Zhao, Antonio Torralba and Dina Katabi
ICCV 2019 / Paper / Website

Enabling Identification and Behavioral Sensing in Homes using Radio Reflections
Chen-Yu Hsu, Rumen Hristov, Guang-He Lee, Mingmin Zhao, and Dina Katabi
ACM CHI 2019 / Paper / Website Video

Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling
Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Dina Katabi and Tommi Jaakkola
AAAI 2019 / Paper / Supp / MIT News

Learning Sleep Stages from Radio Signals: A Conditional Adversarial Architecture
Mingmin Zhao, Shichao Yue, Dina Katabi, Tommi Jaakkola and Matt Bianchi
ICML 2017 / Paper / Website / Video / Slides / Talk / MIT News / Science Highlight

Emotion Recognition using Wireless Signals
Mingmin Zhao, Fadel Adib and Dina Katabi
ACM MobiCom 2016 / Paper / Website / Video / Slides / MIT News / The Big Bang Theory

VeTrack: Real Time Vehicle Tracking in Uninstrumented Indoor Environments
Mingmin Zhao, Ruipeng Gao, Tao Ye, Fan Ye, Yizhou Wang and Guojie Luo
ACM SenSys 2015 / Paper

Predictive Encoding of Contextual Relationships for Perceptual Inference, Interpolation and Prediction
Mingmin Zhao, Chengxu Zhuang, Yizhou Wang and Tai Sing Lee
ICLR 2015 / Paper

Jigsaw: Indoor Floor Plan Reconstruction via Mobile Crowdsensing
Ruipeng Gao, Mingmin Zhao, Tao Ye, Fan Ye, Yizhou Wang, Kaigui Bian, Tao Wang and Xiaoming Li
ACM MobiCom 2014 / Paper

Press Coverage:
Through-Wall Human Action Recognition was covered by: MIT Technology Review, TechCrunch, Communal News, Synced Review, etc.
In-Home Identification and Behavioral Sensing was covered by: MIT news, World Economic Forum, EurekAlert, India TV, and other media outlets.
Through-Wall Human Pose Estimation was covered by: MIT News, Technology Review, BBC, Forbes, Fox, Wired, Science Daily, iMore, CSO, Electronics 360, Economic Times, Live Mint, Geek, ZDNet, Engadget, Inverse, Gizmodo, Extreme Tech, GearBrain, Alphr, etc.
COVID-19 patient monitoring was covered by: CSAIL news, TechCrunch, Engadget, VentureBeat, etc.
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, etc.
Emotion Recognition using Wireless Signals 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, etc.

Professional Service:
PC Member & Reviewer: MobiCom 2023, MobiSys 2023, Mobicom 2022, SIGCOMM 2021, Ubicomp/IMWUT, CVPR, ICCV, ICLR, etc.
Organizing Committee:
  • Co-organized the Multi-Modality Learning from Videos and Beyond tutorial at ICCV 2021.
  • Co-organized the Contactless Health Monitoring with AI tutorial at CVPR 2020.