متابعة
Mi Zhang
Mi Zhang
Associate Professor, Director of AIoT and MLSys Lab, The Ohio State University
بريد إلكتروني تم التحقق منه على osu.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
8562015
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
8212017
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
685*2020
USC-HAD: A Daily Activity Dataset for Ubiquitous Activity Recognition Using Wearable Sensors‏
M Zhang, AA Sawchuk‏
ACM UbiComp 2012 Workshop, 2012‏
6302012
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
4232021
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
4072012
NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for Continuous Mobile Vision‏
B Fang, X Zeng, M Zhang‏
ACM MobiCom 2018, 2018‏
3332018
Multiview Transformers for Video Recognition‏
S Yan, X Xiong, A Arnab, Z Lu, M Zhang, C Sun, C Schmid‏
CVPR 2022, 2022‏
3302022
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
3282022
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
3152011
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
3042015
MyBehavior: Automatic Personalized Health Feedback from User Behaviors and Preferences using Smartphones‏
M Rabbi, MH Aung, M Zhang, T Choudhury‏
ACM UbiComp 2015, 2015‏
3012015
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
2442013
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
2332015
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
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
1962012
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
1612021
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
1542023
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction‏
S Alam, L Liu, M Yan, M Zhang‏
NeurIPS 2022, 2022‏
1522022
PyramidFL: A Fine-grained Client Selection Framework for Efficient Federated Learning‏
C Li, X Zeng, M Zhang, Z Cao‏
ACM MobiCom 2022, 2022‏
1492022
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20