Mi Zhang
Publications
For a complete list of my publications, please visit my Google Scholar Profile.
* indicates equal contributions.

    Book

  • 创新工场讲AI课：从知识到实践 (Chinese)
    李开复, 王咏刚, 张潼, 宋彦, 屠可伟, 张发恩, 唐剑, 张弥, 吴佳洪, 刘宁.
    电子工业出版社, 2021.
    [Purchase Link]

    • Survey and Vision Papers

    Artificial Intelligence of Things: A Survey

    Shakhrul Iman Siam, Hyunho Ahn, Li Liu, Samiul Alam, Hui Shen, Zhichao Cao, Ness Shroff, Bhaskar Krishnamachari, Mani Srivastava, Mi Zhang.
    ACM Transactions on Sensor Networks (ACM TOSN), August 2024.
    Paper BibTex Paper List

    The Internet of Things in the Era of Generative AI: Vision and Challenges

    Xin Wang, Zhongwei Wan, Arvin Hekmati, Mingyu Zong, Samiul Alam, Mi Zhang, Bhaskar Krishnamachari.
    IEEE Internet Computing Magazine (IEEE IC), August 2024.
    Feature Article
    Paper BibTex

    Efficient Large Language Models: A Survey

    Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang.
    Transactions on Machine Learning Research (TMLR), May 2024.
    Paper BibTex Paper List

    Federated Learning for Internet of Things: Applications, Challenges, and Opportunities

    Tuo Zhang, Lei Gao, Chaoyang He, Mi Zhang, Bhaskar Krishnamachari, and Salman Avestimehr.
    IEEE Internet of Things Magazine (IEEE IoTM), March 2022.
    Paper BibTex

    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), March 2017.
    Impact Factor: 17.8
    Invited Article
    Link Paper BibTex

    Preprint

    MEIT: Multi-Modal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation

    Zhongwei Wan, Che Liu, Xin Wang, Chaofan Tao, Hui Shen, Zhenwu Peng, Jie Fu, Rossella Arcucci, Huaxiu Yao, Mi Zhang.
    Paper

    GPT-FL: Generative Pre-trained Model-Assisted Federated Learning

    Tuo Zhang, Tiantian Feng, Samiul Alam, Mi Zhang, Shrikanth S Narayanan, Salman Avestimehr.
    Paper

    2025

    SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

    Xin Wang, Yu Zheng, Zhongwei Wan, Mi Zhang.
    International Conference on Learning Representations (ICLR'25).
    Acceptance Rate: 32.08%
    Paper Code

    D2O: Dynamic Discriminative Operations for Efficient Generative Inference of Large Language Models

    Zhongwei Wan, Xinjian Wu, Yu Zhang, Yi Xin, Chaofan Tao, Zhihong Zhu, Xin Wang, Siqi Luo, Jing Xiong, Mi Zhang.
    International Conference on Learning Representations (ICLR'25).
    Acceptance Rate: 32.08%
    Paper

    GeoFL: A Framework for Efficient Geo-Distributed Cross-Device Federated Learning

    Maolin Gan, Lanpeng Li, Samiul Alam, Li Liu, Luyang Liu, Mi Zhang, Zhichao Cao.
    IEEE International Conference on Computer Communications (INFOCOM'25).
    Acceptance Rate: 272/1458 = 18.7%
    Paper

    2024

    ChirpTransformer: Versatile LoRa Encoding for Low-Power Wide-Area IoT

    Chenning Li, Yidong Ren, Shuai Tong, Shakhrul Iman Siam, Mi Zhang, Jiliang Wang, Yunhao Liu, Zhichao Cao.
    ACM International Conference on Mobile Systems, Applications, and Services (MobiSys'24).
    Acceptance Rate: 43/263 = 16.3%
    Paper BibTex

    Demeter: Reliable Cross-Soil LPWAN with Low-Cost Signal Polarization Alignment

    Yidong Ren, Wei Sun, Jialuo Du, Huaili Zeng, Younsuk Dong, Mi Zhang, Shigang Chen, Yunhao Liu, Tianxing Li, Zhichao Cao.
    ACM International Conference on Mobile Computing and Networking (MobiCom'24).
    Acceptance Rate: 103/494 = 20.9%
    Paper BibTex

    FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things

    Samiul Alam, Tuo Zhang, Tiantian Feng, Hui Shen, Zhichao Cao, Dong Zhao, JeongGil Ko, Kiran Somasundaram, Shrikanth S. Narayanan, Salman Avestimehr, Mi Zhang.
    Journal of Data-centric Machine Learning Research (DMLR), 2024.
    Paper BibTex Code

    ETP: Learning Transferable ECG Representations via ECG-Text Pre-Training

    Che Liu, Zhongwei Wan, Sibo Cheng, Mi Zhang, Rossella Arcucci.
    IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'24).
    Paper BibTex

    Famba-V: Fast Vision Mamba with Cross-Layer Token Fusion

    Hui Shen, Zhongwei Wan, Xin Wang, and Mi Zhang.
    European Conference on Computer Vision (ECCV'24) Workshop on Computational Aspects of Deep Learning.
    Best Paper Award
    Paper BibTex

    Ph.D. Thesis: Efficient Architecture and Data Manipulation for Deep Learning Systems

    Yu Zheng, 2024.

    2023

    AttFL: A Personalized Federated Learning Framework for Time-series Mobile and Embedded Sensor Data Processing

    JaeYeon Park, Kichang Lee, Sungmin Lee, Mi Zhang, JeongGil Ko.
    ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'23).
    Paper BibTex

    FedMultimodal: A Benchmark For Multimodal Federated Learning

    Tiantian Feng, Digbalay Bose, Tuo Zhang, Rajat Hebbar, Anil Ramakrishna, Rahul Gupta, Mi Zhang, Salman Avestimehr, and Shrikanth Narayanan.
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'23).
    Paper BibTex

    FedAudio: A Federated Learning Benchmark for Audio Tasks

    Tuo Zhang, Tiantian Feng, Samiul Alam, Sunwoo Lee, Mi Zhang, Shrikanth Narayanan, and Salman Avestimehr.
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'23).
    Paper BibTex

    TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training

    Tuo Zhang, Lei Gao, Sunwoo Lee, Mi Zhang, and Salman Avestimehr.
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR'23) Workshop on Federated Learning for Computer Vision.
    Paper BibTex

    NELoRa-Bench: A Benchmark for Neural-enhanced LoRa Demodulation

    Jialuo Du, Yidong Ren, Mi Zhang, Yunhao Liu, and Zhichao Cao.
    International Conference on Learning Representations (ICLR'23) Workshop on Machine Learning for IoT.
    Oral
    Paper BibTex

    VideoCoCa: Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners

    Shen Yan, Tao Zhu, Zirui Wang, Yuan Cao, Mi Zhang, Soham Ghosh, Yonghui Wu, Jiahui Yu.
    arXiv:2212.04979
    Paper BibTex

    AutoTaskFormer: Searching Vision Transformers for Multi-task Learning

    Yang Liu, Shen Yan, Yuge Zhang, Kan Ren, Quanlu Zhang, Zebin Ren, Deng Cai, Mi Zhang.
    arXiv:2304.08756
    Paper BibTex

    Master Thesis: Federated Learning Benchmarks and Frameworks for Artificial Intelligence of Things

    Samiul Alam, 2023.

    2022

    FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction

    Samiul Alam, Luyang Liu, Ming Yan, and Mi Zhang.
    Conference on Neural Information Processing Systems (NeurIPS'22).
    Acceptance Rate: 2665/10411 = 25.6%
    Paper BibTex Code Poster

    PyramidFL: A Fine-grained Client Selection Framework for Efficient Federated Learning

    Chenning Li, Xiao Zeng, Mi Zhang, and Zhichao Cao.
    ACM International Conference on Mobile Computing and Networking (MobiCom'22).
    Acceptance Rate: 56/314 = 17.8%
    Paper BibTex

    FedSEA: A Semi-Asynchronous Federated Learning Framework for Extremely Heterogeneous Devices

    Jingwei Sun, Ang Li, Lin Duan, Samiul Alam, Xuliang Deng, Xin Guo, Haiming Wang, Maria Gorlatova, Mi Zhang, Hai Li, Yiran Chen.
    ACM Conference on Embedded Networked Sensor Systems (SenSys'22).
    Acceptance Rate: 52/208 = 25%
    Paper BibTex

    FedTune: Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective

    Huanle Zhang, Mi Zhang, Xin Liu, Prasant Mohapatra, and Michael Delucia.
    IEEE Military Communications Conference (MILCOM'22).
    Paper BibTex

    Deep AutoAugment

    Yu Zheng, Zhi Zhang, Shen Yan, and Mi Zhang.
    International Conference on Learning Representations (ICLR'22).
    Acceptance Rate: 1095/3391 = 32.3%
    Paper BibTex Code Leaderboard Poster Slides
    Media Coverage: Synced

    Multiview Transformers for Video Recognition

    Shen Yan, Xuehan Xiong, Anurag Arnab, Zhichao Lu, Mi Zhang, Chen Sun, Cordelia Schmid.
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'22).
    Acceptance Rate: 2067/8161 = 25.3%
    Paper BibTex Code Leaderboard

    Ph.D. Thesis: New Perspectives in Neural Architecture Search: Architecture Embeddings, Efficient Performance Estimations, and their Applications

    Shen Yan, 2022.

    2021

    A Field Guide to Federated Optimization

    Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Aguera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horvath, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecny, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtarik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu.
    Paper BibTex

    Mercury: Efficient On-Device Distributed DNN Training via Stochastic Importance Sampling

    Xiao Zeng, Ming Yan, and Mi Zhang.
    ACM Conference on Embedded Networked Sensor Systems (SenSys'21).
    Acceptance Rate: 25/139 = 18%
    Paper BibTex

    FedMask: Joint Computation and Communication-Efficient Personalized Federated Learning via Heterogeneous Masking

    Ang Li, Jingwei Sun, Xiao Zeng, Mi Zhang, Hai Li, and Yiran Chen.
    ACM Conference on Embedded Networked Sensor Systems (SenSys'21).
    Acceptance Rate: 25/139 = 18%
    Paper BibTex

    NELoRa: Towards Ultra-low SNR LoRa Communication with Neural-enhanced Demodulation

    Chenning Li, Hanqing Guo, Shuai Tong, Xiao Zeng, Zhichao Cao, Mi Zhang, Qiben Yan, Li Xiao, Jiliang Wang, and Yunhao Liu.
    ACM Conference on Embedded Networked Sensor Systems (SenSys'21).
    Acceptance Rate: 25/139 = 18%
    Best Paper Award | ACM SIGMOBILE Research Highlight
    Highlight Article Paper BibTex

    DeepLoRa: Learning Accurate Path Loss Model for Long Distance Links in LPWAN

    Li Liu, Yuguang Yao, Zhichao Cao, and Mi Zhang.
    IEEE International Conference on Computer Communications (INFOCOM'21).
    Acceptance Rate: 252/1266 = 19.9%
    Paper BibTex

    CATE: Computation-aware Neural Architecture Encoding with Transformers

    Shen Yan, Kaiqiang Song, Fei Liu, and Mi Zhang.
    International Conference on Machine Learning (ICML'21).
    Acceptance Rate: 166/5513 = 3% (Long Talk)
    Paper BibTex Code Poster Presentation

    Deep AutoAugment

    Yu Zheng, Zhi Zhang, Shen Yan, and Mi Zhang.
    International Conference on Machine Learning (ICML'21) Workshop on Machine Learning for Data.
    Note: the full version is accepted to ICLR'22.

    Towards Position-Independent Sensing for Gesture Recognition with Wi-Fi

    Ruiyang Gao, Mi Zhang, Jie Zhang, Yang Li, Enze Yi, Dan Wu, Leye Wang, and Daqing Zhang.
    ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'21).
    Paper BibTex

    Ph.D. Thesis: Collaborative Distributed Deep Learning Systems on the Edges

    Xiao Zeng, 2021.

    2020

    Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?

    Shen Yan, Yu Zheng, Wei Ao, Xiao Zeng, and Mi Zhang.
    Conference on Neural Information Processing Systems (NeurIPS'20).
    Acceptance Rate: 1900/9454 = 20.1%
    Paper BibTex Code Poster Presentation

    FedML: A Research Library and Benchmark for Federated Machine Learning

    Chaoyang He, Songze Li, Jinhyun So, Xiao Zeng, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman Avestimehr.
    Conference on Neural Information Processing Systems (NeurIPS'20) Federated Learning Workshop.
    Spotlight | Best Paper Award
    Paper BibTex Code

    MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution

    Taojiannan Yang, Sijie Zhu, Chen Chen, Shen Yan, Mi Zhang, and Andrew Willis.
    European Conference on Computer Vision (ECCV'20).
    Acceptance Rate: 104/5025 = 2%
    Oral
    Paper BibTex Code

    FlexDNN: Input-Adaptive On-Device Deep Learning for Efficient Mobile Vision

    Biyi Fang, Xiao Zeng, Faen Zhang, Hui Xu, and Mi Zhang.
    ACM/IEEE Symposium on Edge Computing (SEC'20).
    Acceptance Rate: 21/96 = 21.9%
    Best Paper Award Nominee
    Paper BibTex

    Distream: Scaling Live Video Analytics with Workload-Adaptive Distributed Edge Intelligence

    Xiao Zeng, Biyi Fang, Haichen Shen, and Mi Zhang.
    ACM Conference on Embedded Networked Sensor Systems (SenSys'20).
    Acceptance Rate: 43/213 = 20.2%
    Paper BibTex

    Wi-Fi See It All: Generative Adversarial Network-augmented Versatile Wi-Fi Imaging

    Chenning Li, Zheng Liu, Yuguang Yao, Zhichao Cao, Mi Zhang, and Yunhao Liu.
    ACM Conference on Embedded Networked Sensor Systems (SenSys'20).
    Acceptance Rate: 43/213 = 20.2%
    Paper BibTex

    SecWIR: Securing Smart Home IoT Communications via Wi-Fi Routers with Embedded Intelligence

    Xinyu Lei, Guan-Hua Tu, Chi-Yu Li, Tian Xie, and Mi Zhang.
    ACM International Conference on Mobile Systems, Applications, and Services (MobiSys'20).
    Acceptance Rate: 34/175 = 19.4%
    Paper BibTex

    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%
    Paper BibTex

    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, 2020.
    Invited Article
    Paper BibTex

    2019

    MSUNet: A Framework for Designing Tiny Neural Networks for On-Device AI

    Yu Zheng*, Shen Yan*, and Mi Zhang.
    Conference on Neural Information Processing Systems (NeurIPS'19) Google MicroNet Challenge.
    Google MicroNet Challenge (CIFAR-100 Track) 4th Place Winner (1st Place in U.S. and Canada)
    Code
    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 Candidate
    Paper BibTex
    Media Coverage: JiQiZhiXin

    Federated Learning: The Future of Distributed Machine Learning

    Mi Zhang.
    SyncedReview @ Medium, 2019.
    Invited Article
    Link

    AutoML Mobile: Automated ML Model Design for Every Mobile Device

    Mi Zhang.
    SyncedReview @ Medium, 2019.
    Invited Article
    Link

    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 (GetMobile), Volume 23, Issue 3, 2019.
    Invited Article
    Paper 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.
    Impact Factor: 4.41
    Guest Editors' Introduction

    Ph.D. Thesis: Adaptive On-device Deep Learning Systems

    Biyi Fang, 2019.

    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%
    Paper BibTex Video
    Media Coverage: JiQiZhiXin

    Efficient Federated Learning via Variational Dropout

    Wei Du, Xiao Zeng, Ming Yan, and Mi Zhang.
    OpenReview
    Paper

    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
    Paper 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).
    Paper 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
    Paper 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 Paper 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 First Place Winner
    Paper 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%
    Paper 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

    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%
    Paper 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%
    Paper 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%
    Paper BibTex
    Media Coverage: The Atlantic Futurity MSU Today

    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 Award Honorable Mention
    Paper BibTex 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%
    Paper BibTex MIT Technology Review Mashable

    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 Paper 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%
    Paper 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 Paper BibTex

    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%
    Paper BibTex

    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 Research Highlight
    Highlight Article Paper 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%
    Paper 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
    Paper

    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.
    Paper

    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%
    Paper

    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%
    Paper

    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.
    Paper

    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, 2012.
    Paper

    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, 2012.
    Paper

    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.
    Paper

    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
    Paper

    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.
    Paper

    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%
    Paper

    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.
    Paper

    Context-Aware Fall Detection Using A Bayesian Network

    Mi Zhang and Alexander A. Sawchuk.
    ACM International Conference on Ubiquitous Computing (UbiComp) Workshop, 2011.
    Paper

    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.
    Paper

    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.
    Paper
© 2025 Mi Zhang
Contact
Email: mizhang.1@osu.edu
Office: 495 Dreese Labs
2015 Neil Ave, Columbus, OH 43210
Affiliations
Department of Computer Science and Engineering
Institute for Cybersecurity and Digital Trust
Translational Data Analytics Institute
5G and Broadband Connectivity Center