Publications



My Google Scholar Profile is here.

* indicates equal contributions.

    Pre-print


  • A Closer Look at Network Resolution for Efficient Network Design
    Taojiannan Yang, Sijie Zhu, Shen Yan, Mi Zhang, Andrew Willis, and Chen Chen.
    arXiv:1909.12978.

  • 2020


  • SCYLLA: QoE-aware Continuous Mobile Vision with FPGA-based Dynamic Deep Neural Network Reconfiguration
    Shuang Jiang, Zhiyao Ma, Xiao Zeng, Chenren Xu, Mi Zhang, Chen Zhang, and Yunxin Liu.
    IEEE International Conference on Computer Communications (INFOCOM'20).
    Acceptance Rate: 268/1354 = 19.8%

  • 2019


  • DQSNet: A Framework for Designing Micro-Neural Networks for Mobile Devices and Internet of Things
    Yu Zheng, Shen Yan, Xiao Zeng, Biyi Fang, and Mi Zhang.
    Conference on Neural Information Processing Systems (NeurIPS'19) Google MicroNet Challenge.
    Google MicroNet Challenge (CIFAR-100 Track) 4th Place Winner
    Media Coverage: [MSU Today]
  • HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking
    Shen Yan, Biyi Fang, Faen Zhang, Yu Zheng, Xiao Zeng, Hui Xu, and Mi Zhang.
    International Conference on Computer Vision (ICCV'19) Neural Architects Workshop.
    Best Paper Award Nominee
    [PDF | BibTex]
    Media Coverage: [JiQiZhiXin]
  • Deep Learning in the Era of Edge Computing: Challenges and Opportunities
    Mi Zhang, Faen Zhang, Nicholas D. Lane, Yuanchao Shu, Xiao Zeng, Biyi Fang, Shen Yan, and Hui Xu.
    Book chapter in Fog Computing: Theory and Practice, Wiley, 2019.
    Editors: Albert Y. Zomaya, Assad Abbas, and Samee U. Khan.
    Invited Article
  • Mobile Sensing of Alertness, Sleep, and Circadian Rhythm: Hardware and Software Platforms
    Akane Sano, Tauhidur Rahman, Mi Zhang, Deepak Ganesan, and Tanzeem Choudhury.
    ACM SIGMOBILE Mobile Computing and Communications Review (ACM GetMobile), Volume 23, Issue 3, 2019.
    Invited Article
    [PDF | BibTex]
  • Communication Challenges in the IoT
    Mi Zhang, Xiaofan Jiang, and Steve Hodges.
    IEEE Pervasive Computing Magazine (IEEE Pervasive Computing), Volume 18, Issue 1, 2019.
    Guest Editors' Introduction

  • 2018


  • NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for Continuous Mobile Vision
    Biyi Fang*, Xiao Zeng*, and Mi Zhang.
    ACM International Conference on Mobile Computing and Networking (MobiCom'18).
    Acceptance Rate: 42/187 = 22.5%
    [PDF | BibTex | Video]
    Media Coverage: [JiQiZhiXin]
  • The Dark Side of Operational Wi-Fi Calling Services
    Tian Xie, Guan-Hua Tu, Chi-Yu Li, Chunyi Peng, Jiawei Li, and Mi Zhang.
    IEEE Conference on Communications and Network Security (CNS'18).
    Acceptance Rate: 52/181 = 28.7%
    Best Paper Award, Google Security Reward
    [PDF | BibTex]
  • When Virtual Reality Meets Internet of Things in the Gym: Enabling Immersive Interactive Machine Exercises
    Fazlay Rabbi*, Taiwoo Park*, Biyi Fang, Mi Zhang, and Youngki Lee.
    ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'18).
    [PDF | BibTex]
  • When Mixed Reality Meets Internet of Things: Toward the Realization of Ubiquitous Mixed Reality
    Taiwoo Park, Mi Zhang, and Youngki Lee.
    ACM SIGMOBILE Mobile Computing and Communications Review (GetMobile), Volume 22, Issue 1, 2018.
    Invited Article
    [PDF | BibTex]
  • Exploring User Needs for a Mobile Behavioral-Sensing Technology for Depression Management: Qualitative Study
    Jingbo Meng, Syed Ali Hussain, David C. Mohr, Mary Czerwinski, and Mi Zhang.
    Journal of Medical Internet Research (JMIR) Special Issue on Computing and Mental Health, 2018.
    Impact Factor: 5.175 [Link | PDF | BibTex]

  • 2017


  • MobileDeepPill: A Small-Footprint Mobile Deep Learning System for Recognizing Unconstrained Pill Images
    Xiao Zeng, Kai Cao, and Mi Zhang.
    ACM International Conference on Mobile Systems, Applications, and Services (MobiSys'17).
    Acceptance Rate: 34/188 = 18%
    NIH Pill Image Recognition Challenge Champion
    [PDF | BibTex | Video]
    Media Coverage: [NIH | ABC 7 (TV) | MSU Today]
  • DeepASL: Enabling Ubiquitous and Non-Intrusive Word and Sentence-Level Sign Language Translation
    Biyi Fang, Jillian Co, and Mi Zhang.
    ACM Conference on Embedded Networked Sensor Systems (SenSys'17).
    Acceptance Rate: 26/151 = 17%
    [PDF | BibTex]
    Media Coverage: [NSF (video) | MSU (video) | NVIDIA | Smithsonian | NPR (radio interview) | MSU Today | AAU | Futurity]
  • SharpEar: Real-Time Speech Enhancement in Noisy Environments (Poster)
    Xiao Zeng, Kai Cao, Haochen Sun, and Mi Zhang.
    ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'17).
    NSF Hearables Challenge Third Place Winner
    Invited Presentation
    Media Coverage: [NSF | ACM TechNews | MSU Today | AAU | R&D Magazine | The University Network]
  • Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning
    David C. Mohr, Mi Zhang, and Stephen M. Schueller.
    Annual Review of Clinical Psychology (ARCP), Volume 13, Pages 23-47, 2017.
    Impact Factor: 12.214
    Invited Article
    [Link | PDF | BibTex]
  • Helping Universities Combat Depression with Mobile Technology
    Mi Zhang, David C. Mohr, and Jingbo Meng.
    The Conversation, 2017.
    Invited Article
    [Link]
    Media Coverage: [NSF (video) | Smithsonian | MSU Today | EdTech | Campus Technology | eCampusNews]

  • 2016


  • BodyScan: Enabling Radio-based Sensing on Wearable Devices for Contactless Activity and Vital Sign Monitoring
    Biyi Fang, Nicholas D. Lane, Mi Zhang, Aidan Boran, and Fahim Kawsar.
    ACM International Conference on Mobile Systems, Applications, and Services (MobiSys'16).
    Acceptance Rate: 31/197 = 15.7%
    [PDF | BibTex | Video]
  • HeadScan: A Wearable System for Radio-based Sensing of Head and Mouth-related Activities
    Biyi Fang, Nicholas D. Lane, Mi Zhang, and Fahim Kawsar.
    ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN'16).
    Acceptance Rate: 23/117 = 19.7%
    [PDF | BibTex]
    Media Coverage: [Stanford Medicine | MedGadget | Futurity | MSU Today | Fox 2 (TV interview) | ReadWrite]
  • AirSense: An Intelligent Home-based Sensing System for Indoor Air Quality Analytics
    Biyi Fang, Qiumin Xu, Taiwoo Park, and Mi Zhang.
    ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'16).
    Acceptance Rate: 114/481 = 23.7%
    [PDF | BibTex]
    Media Coverage: [The Atlantic | Futurity | MSU Today]
  • Towards Radio-based Sensing on Wearables (Poster)
    Biyi Fang, Nicholas D. Lane, Mi Zhang, Aidan Boran, and Fahim Kawsar.
    ACM International Conference on Mobile Systems, Applications, and Services (MobiSys'16).

  • 2015


  • DoppleSleep: A Contactless Unobtrusive Sleep Sensing System Using Short-Range Doppler Radar
    Tauhidur Rahman, Alexander Adams, Ruth Ravichandran, Mi Zhang, Shwetak Patel, Julie Kientz, and Tanzeem Choudhury.
    ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'15).
    Acceptance Rate: 93/394 = 23.6%
    Best Paper Honorable Mention Award
    [PDF | BibTex]
    Media Coverage: [MIT Technology Review]
  • MyBehavior: Automatic Personalized Health Feedback from User Behavior and Preference using Smartphones
    Mashfiqui Rabbi, Min Hane Aung, Mi Zhang, and Tanzeem Choudhury.
    ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'15).
    Acceptance Rate: 93/394 = 23.6%
    [PDF | BibTex]
    Media Coverage: [MIT Technology Review | Mashable]
  • BodyBeat: Eavesdropping on our Body Using a Wearable Microphone
    Tauhidur Rahman, Alexander Adams, Mi Zhang, Erin Cherry, and Tanzeem Choudhury.
    ACM SIGMOBILE Mobile Computing and Communications Review (GetMobile), Volume 19, Issue 1, Pages 14-17, 2015.
    Invited Article
    [PDF | BibTex]
  • Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study
    Sohrob Saeb, Mi Zhang, Christopher J. Karr, Stephen M. Schueller, Marya E. Corden, Konrad P. Kording, and David C. Mohr.
    Journal of Medical Internet Research (JMIR), Volume 17, Issue 7, Pages e175, 2015.
    Impact Factor: 5.175
    JMIR All-Time Top Article
    [Link | PDF | BibTex]
    Media Coverage: [TIME | CNN | TechCrunch | The Verge | CBS News | Fox News | Discovery News | Daily Mail | The Times | Newsweek | Mirror | The Telegraph | The Washington Post | The Huffington Post | Los Angeles Times | Chicago Tribune | Futurity | WebMD | US News]
  • The Relationship between Clinical, Momentary, and Sensor-based Assessment of Depression
    Sohrob Saeb, Mi Zhang, Mary Kwasney, Christopher J. Karr, Konrad Kording, and David C. Mohr.
    International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth'15).
    Acceptance Rate: 38%
    [PDF | BibTex]
  • Automated Personalized Feedback for Physical Activity and Dietary Behavior Change with Mobile Phones: A Randomized Controlled Trial on Adults
    Mashfiqui Rabbi, Angela Pfammatter, Mi Zhang, Bonnie Spring, and Tanzeem Choudhury.
    Journal of Medical Internet Research (JMIR) mHealth and uHealth, Volume 3, Issue 2, Pages e42, 2015.
    Impact Factor: 4.636
    [Link | PDF | BibTex]
    Media Coverage: [MobiHealth News]
  • An Intelligent Crowd-Worker Selection Approach for Reliable Content Labeling of Food Images
    Mashfiqui Rabbi, Jean Costa, Fabian Okeke, Max Schachere, Mi Zhang, and Tanzeem Choudhury.
    ACM International Conference on Wireless Health (WH'15).
    Acceptance Rate: 28/106 = 26.4%
    [PDF | BibTex]
  • Feasibility of B-mode Diagnostic Ultrasonic Energy Transfer and Telemetry to a cm2 Sized Deep-Tissue Implant
    Biyi Fang, Tao Feng, Mi Zhang, and Shantanu Chakrabartty.
    IEEE International Symposium on Circuits and Systems (ISCAS'15).
    [PDF | BibTex]
  • SAINT: A Scalable Sensing and Inference Toolkit (Poster)
    Mashfiqui Rabbi, Thiago Caetano, Jean Costa, Saeed Abdullah, Mi Zhang, and Tanzeem Choudhury.
    ACM International Workshop on Mobile Computing Systems and Applications (HotMobile'15).

  • 2014


  • BodyBeat: A Mobile System for Sensing Non-Speech Body Sounds
    Tauhidur Rahman, Alexander Adams, Mi Zhang, Erin Cherry, Bobby Zhou, Huaishu Peng, and Tanzeem Choudhury.
    ACM International Conference on Mobile Systems, Applications, and Services (MobiSys'14).
    Acceptance Rate: 25/185 = 13.5%
    ACM SIGMOBILE Highlighted Article
    [PDF | BibTex]
    Media Coverage: [MIT Technology Review | Wall Street Journal | New Scientist]

  • Towards Accurate Non-Intrusive Recollection of Stress Levels Using Mobile Sensing and Contextual Recall
    Tauhidur Rahman, Mi Zhang, Stephen Voida, and Tanzeem Choudhury.
    International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth'14).
    Acceptance Rate: 26%
    [PDF | BibTex]

  • 2013 and Earlier


  • Human Daily Activity Recognition with Sparse Representation Using Wearable Sensors
    Mi Zhang and Alexander A. Sawchuk.
    IEEE Journal of Biomedical and Health Informatics (J-BHI), Volume 17, Issue 3, Pages 553-560, 2013.
    Impact Factor: 3.451
    Highlighted Article
  • Towards Practical Energy Expenditure Estimation with Mobile Phones
    Harshvardhan Vathsangam, Mi Zhang, Alexander Tarashansky, Alexander A. Sawchuk, and Gaurav S. Sukhatme.
    The Annual Asilomar Conference on Signals, Systems, and Computers (ASILOMAR), 2013.
    Invited Article
  • Motion Primitive-Based Human Activity Recognition Using a Bag-of-Features Approach
    Mi Zhang and Alexander A. Sawchuk.
    ACM SIGHIT International Health Informatics Symposium (IHI), 2012.
    Acceptance Rate: 18%
  • Towards Pervasive Physical Rehabilitation Using Microsoft Kinect
    Chien-Yen Chang, Belinda Lange, Mi Zhang, Sebastian Koenig, Phil Requejo, Noom Somboon, Alexander Sawchuk, Albert Rizzo.
    International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2012.
    Acceptance Rate: 30%
  • Beyond the Standard Clinical Rating Scales: Fine-Grained Assessment of Post-Stroke Motor Functionality Using Wearable Inertial Sensors
    Mi Zhang, Belinda Lange, Chien-Yen Chang, Alexander A. Sawchuk, and Albert A. Rizzo.
    International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2012.
  • USC-HAD: A Daily Activity Dataset for Ubiquitous Activity Recognition Using Wearable Sensors
    Mi Zhang and Alexander A. Sawchuk.
    ACM International Conference on Ubiquitous Computing (UbiComp) Workshop on Situation, Activity and Goal Awareness, 2012.
  • A Preliminary Study of Sensing Appliance Usage for Human Activity Recognition Using Mobile Magnetometer
    Mi Zhang and Alexander A. Sawchuk.
    ACM International Conference on Ubiquitous Computing (UbiComp) Workshop on Ubiquitous Mobile Instrumentation, 2012.
  • Sparse Representation for Motion Primitive-Based Human Activity Modeling and Recognition Using Wearable Sensors
    Mi Zhang, Wenyao Xu, Alexander A. Sawchuk, and Majid Sarrafzadeh.
    International Conference on Pattern Recognition (ICPR), 2012.
  • Robust Human Activity and Sensor Location Co-Recognition via Sparse Signal Representation
    Wenyao Xu, Mi Zhang, Alexander A. Sawchuk, and Majid Sarrafzadeh.
    IEEE Transactions on Biomedical Engineering (TBME), Volume 59, Issue 11, Pages 3169-3176, 2012.
    Impact Factor: 3.577
  • Co-Recognition of Human Activity and Sensor Location via Compressed Sensing in Wearable Body Sensor Networks
    Wenyao Xu, Mi Zhang, Alexander A. Sawchuk, and Majid Sarrafzadeh.
    IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN), 2012.
  • Manifold Learning and Recognition of Human Activity Using Body-Area Sensors
    Mi Zhang and Alexander A. Sawchuk.
    IEEE International Conference on Machine Learning and Applications (ICMLA), 2011.
    Acceptance Rate: 27%
  • A Feature Selection-Based Framework for Human Activity Recognition Using Wearable Multimodal Sensors
    Mi Zhang and Alexander A. Sawchuk.
    International Conference on Body Area Networks (BodyNets), 2011.
  • A Bag-Of-Feature-Based Framework for Human Activity Representation and Recognition
    Mi Zhang and Alexander A. Sawchuk.
    ACM International Conference on Ubiquitous Computing (UbiComp) Workshop on Situation, Activity and Goal Awareness, 2011.
  • Context-Aware Fall Detection Using A Bayesian Network
    Mi Zhang and Alexander A. Sawchuk.
    ACM International Conference on Ubiquitous Computing (UbiComp) Workshop on Context-Awareness for Self-Managing Systems, 2011.
  • Towards Supporting Contextual Privacy in Body Sensor Networks for Health Monitoring Service
    Fuming Shih and Mi Zhang.
    W3C Workshop on Privacy and Data Usage Control, 2010.
  • OCRdroid: A Framework to Digitize Text Using Mobile Phones
    Mi Zhang, Anand Joshi, Ritesh Kadmawala, Karthik Dantu, Sameera Poduri, and Gaurav S. Sukhatme.
    International Conference on Mobile Computing, Applications and Services (MobiCASE), 2009.
  • A Customizable Framework of Body Area Sensor Network for Rehabilitation
    Mi Zhang and Alexander A. Sawchuk.
    International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL), 2009.
  • Evaluation of Learning Algorithms for Optimal Policy Representation in Sensor-Network based Human Health Monitoring Systems
    Shuping Liu and Mi Zhang.
    International Conference on Information, Communications and Signal Processing (ICICS), 2009.



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