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Mingmin Zhao

Assistant Professor
Computer and Information Science
University of Pennsylvania

503 Levine Hall
3330 Walnut Street, Philadelphia, PA 19104

mingminz@cis.upenn.edu

Google Scholar

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. I received my Ph.D. from MIT, working with Prof. Dina Katabi, and my B.S. from Peking University.

Research Interests:

I am fascinated by how signals (e.g., radio and acoustic waves) carry information far beyond what humans can sense, and how these interactions can be transformed into new foundations for machine and human perception. I am interested in modeling and interpreting those signals with machine learning grounded in physics. I also explore multimodal learning across radio, acoustic, visual, and language modalities to exploit their complementary strengths and to build richer and more robust representations of the physical world. Our projects often draw on embedded sensors and systems, signal processing, statistical modeling, and machine learning.

Current topics of interest include:
Updates:
Videos:
Superhuman Vision at Radio Frequency
Through-Wall Human Pose Estimation
Contactless Sleep Monitoring
Wireless Heartbeats and Emotion Sensing
Teaching:
Publications:
Motion Capture with Millimeter-Wave Tags
Xin Yang, Yifei Liu, Yunshuang Li, Yao Gong, Dinesh Jayaraman, Omid Abari, and Mingmin Zhao
SenSys 2026, Saint-Malo, France, May 2026

Non-Line-of-Sight 3D Reconstruction with Radar
Haowen Lai, Zitong Lan, and Mingmin Zhao
NeurIPS 2025, San Diego, USA, December 2025
[paper] [website]

Resounding Acoustic Fields with Reciprocity
Zitong Lan, Yiduo Hao, and Mingmin Zhao
NeurIPS 2025, San Diego, USA, December 2025
[paper] [website]

Guiding Audio Editing with Audio Language Model
Zitong Lan, Yiduo Hao, and Mingmin Zhao
NeurIPS 2025 Generative and Protective AI for Content Creation, San Diego, USA, December 2025
[paper] [website]
Oral Presentation

RF-Based 3D SLAM Rivaling Vision Approaches
Haowen Lai, Zhiwei Zheng, and Mingmin Zhao
ACM MobiCom 2025, Hong Kong, China, November 2025
[paper] [website] [code] [dataset]
Best Artifact Award

Tracking Blink Dynamics and Mental States on Glasses
Dongyin Hu, Xin Yang, Ahhyun Yuh, Zihao Wang, Lama Al-Aswad, Insup Lee, and Mingmin Zhao
ACM MobiSys 2025, Anaheim, CA, June 2025
[Paper] [Website] [Code]

Tracking Blink Dynamics on Smart Glasses Using mmWave Radar
Dongyin Hu, Xin Yang, Ahhyun Yuh, Zihao Wang, Lama Al-Aswad, Insup Lee, and Mingmin Zhao
The Association for Research in Vision and Ophthalmology 2025 Annual Meeting, Salt Lake City, UT, May 2025

Acoustic Volume Rendering and Neural Impulse Response Fields
Zitong Lan, Chenhao Zheng, Zhiwei Zheng, and Mingmin Zhao
NeurIPS 2024, Vancouver, Canada, December 2024
[paper] [OpenReview] [website] [code: AVR] [code: AcoustiX]
Spotlight


Enabling Visual Recognition at Radio Frequency
Haowen Lai, Gaoxiang Luo, Yifei Liu, and Mingmin Zhao
ACM MobiCom 2024, Washington, DC, November 2024
[paper] [website] [code] [dataset]
Best Demo Award
First Place in Student Research Competition
Second Place in ACM SRC grand finals (2/334, 21 ACM conferences)

Development of oculomics artificial intelligence for cardiovascular risk factors: A case study in fundus oculomics for HbA1c assessment and clinically relevant considerations for clinicians
Joshua Ong, Kuk Jin Jang, Seung Ju Baek, Dongyin Hu, Vivian Lin, Sooyong Jang, Alexandra Thaler, Nouran Sabbagh, Almiqdad Saeed, Minwook Kwon, Jin Hyun Kim, Seongjin Lee, Yong Seop Han, Mingmin Zhao, Oleg Sokolsky, Insup Lee, Lama A Al-Aswad
Asia-Pacific Journal of Ophthalmology, 2024


Seeing Through Clouds in Satellite Images
Mingmin Zhao, Peder Olsen, and Ranveer Chandra
IEEE Transactions on Geoscience and Remote Sensing, 2023
[paper]


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, Seoul, Korea, October 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, Seoul, Korea, October 2019
[paper] [website]


Through-Wall Human Pose Estimation Using Radio Signals
Mingmin Zhao, Tianhong Li, Mohammad Abu Alsheikh, Yonglong Tian, Hang Zhao, Antonio Torralba, and Dina Katabi
CVPR 2018, Salt Lake City, UT, June 2018
[paper] [website] [video] [slides] [MIT News]
Spotlight Presentation

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, Glasgow, UK, May 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, Honolulu, HI, January 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, Sydney, Australia, August 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, New York, USA, September 2016
[paper] [website] [video] [slides] [MIT News] [The Big Bang Theory episode]
ACM SIGMOBILE Research Highlights
CACM Research Highlights

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, Seoul, Korea, November 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, San Diego, CA, May 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, Maui, HI, September 2014
[paper]

Smartphone-based Real Time Vehicle Tracking in Indoor Parking Structures
Ruipeng Gao, Mingmin Zhao, Tao Ye, Fan Ye, Yizhou Wang, and Guojie Luo
IEEE Transactions on Mobile Computing, 16(7), 2017
[paper]

Multi-story Indoor Floor Plan Reconstruction via Mobile Crowdsensing
Ruipeng Gao, Mingmin Zhao, Tao Ye, Fan Ye, Yizhou Wang, Kaigui Bian, Tao Wang, and Xiaoming Li
IEEE Transactions on Mobile Computing, 15(6), 2016
[paper]

Poster Abstract: VeLoc: Finding Your Car in the Parking Lot
Mingmin Zhao, Ruipeng Gao, Jiaxu Zhu, Tao Ye, Fan Ye, Yizhou Wang, Kaigui Bian, Min Zhang, and Guojie Luo
ACM SenSys 2014, Memphis, TN, November 2014
[poster]

Professional Service:
Program Committee:
  • MobiCom 2022, 2023, 2024, 2025, 2026
  • MobiSys 2023, 2025, 2026
  • HotMobile 2024, 2026
  • INFOCOM 2024
Organizing Committee: Guest Editor:
  • ACM Transactions on Computing for Healthcare, Special Issue on Wireless Sensing for Health Monitoring and Elderly Care, 2024
Reviewer:
  • MobiCom, MobiSys, HotMobile, SIGCOMM, NSDI, INFOCOM
  • CHI, UIST, UbiComp
  • NeurIPS, ICLR, CVPR, ICCV, ECCV
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.