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Mi Zhang
Mi Zhang
Associate Professor, Director of AIoT and MLSys Lab, The Ohio State University
Verificeret mail på osu.edu - Startside
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Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study
S Saeb, M Zhang, CJ Karr, SM Schueller, ME Corden, KP Kording, ...
JMIR (All-Time Top Article) 17 (7), e175, 2015
8502015
Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning
DC Mohr, M Zhang, S Schueller
Annual Review of Clinical Psychology 13 (1), 2017
8382017
FedML: A Research Library and Benchmark for Federated Machine Learning
C He, S Li, J So, M Zhang, H Wang, X Wang, P Vepakomma, A Singh, ...
NeurIPS 2020 Federated Learning Workshop (Best Paper Award), 2020
696*2020
USC-HAD: A Daily Activity Dataset for Ubiquitous Activity Recognition Using Wearable Sensors
M Zhang, AA Sawchuk
ACM UbiComp 2012 Workshop, 2012
6332012
A Field Guide to Federated Optimization
J Wang, Z Charles, Z Xu, G Joshi, HB McMahan, M Al-Shedivat, G Andrew, ...
arXiv preprint arXiv:2107.06917, 2021
4362021
Towards Pervasive Physical Rehabilitation Using Microsoft Kinect
CY Chang, B Lange, M Zhang, S Koenig, P Requejo, N Somboon, ...
International Conference on Pervasive Computing Technologies for Healthcare …, 2012
4032012
Federated Learning for Internet of Things: Applications, Challenges, and Opportunities
T Zhang, L Gao, C He, M Zhang, B Krishnamachari, S Avestimehr
IEEE Internet of Things Magazine (IEEE IoTM) 5 (1), 2022
3382022
Multiview Transformers for Video Recognition
S Yan, X Xiong, A Arnab, Z Lu, M Zhang, C Sun, C Schmid
CVPR 2022, 2022
3352022
NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for Continuous Mobile Vision
B Fang, X Zeng, M Zhang
ACM MobiCom 2018, 2018
3312018
A Feature Selection-based Framework for Human Activity Recognition using Wearable Multimodal Sensors
M Zhang, AA Sawchuk
International Conference on Body Area Networks (BodyNets), 2011
3132011
MyBehavior: Automatic Personalized Health Feedback from User Behaviors and Preferences using Smartphones
M Rabbi, MH Aung, M Zhang, T Choudhury
ACM UbiComp 2015, 2015
3052015
Automated Personalized Feedback for Physical Activity and Dietary Behavior Change with Mobile Phones: A Randomized Controlled Trial on Adults
M Rabbi, A Pfammatter, M Zhang, B Spring, T Choudhury
JMIR mHealth and uHealth 3 (2), e42, 2015
3052015
Human Daily Activity Recognition with Sparse Representation Using Wearable Sensors
M Zhang, AA Sawchuk
IEEE Journal of Biomedical and Health Informatics (Highlighted Article) 17 …, 2013
2452013
BodyBeat: A Mobile System for Sensing Non-Speech Body Sounds
T Rahman, AT Adams, M Zhang, E Cherry, B Zhou, H Peng, T Choudhury
ACM MobiSys 2014 (ACM SIGMOBILE Highlighted Article), 2014
2332014
DoppleSleep: A Contactless Unobtrusive Sleep Sensing System using Short-Range Doppler Radar
T Rahman, AT Adams, RV Ravichandran, M Zhang, SN Patel, JA Kientz, ...
ACM UbiComp 2015 (Best Paper Award Honorable Mention), 2015
2312015
Motion Primitive-based Human Activity Recognition Using a Bag-of-Features Approach
M Zhang, AA Sawchuk
ACM SIGHIT Symposium on International Health Informatics (IHI), 2012
1892012
Client Selection in Federated Learning: Principles, Challenges, and Opportunities
L Fu, H Zhang, G Gao, H Wang, M Zhang, X Liu
IEEE Internet of Things Journal (IoT-J), 2023
1642023
FedMask: Joint Computation and Communication-Efficient Personalized Federated Learning via Heterogeneous Masking
A Li, J Sun, X Zeng, M Zhang, H Li, Y Chen
ACM SenSys 2021, 2021
1632021
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction
S Alam, L Liu, M Yan, M Zhang
NeurIPS 2022, 2022
1582022
PyramidFL: A Fine-grained Client Selection Framework for Efficient Federated Learning
C Li, X Zeng, M Zhang, Z Cao
ACM MobiCom 2022, 2022
1512022
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Artikler 1–20