| 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 | 856 | 2015 |
| 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 | 821 | 2017 |
| 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 | 630 | 2012 |
| 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 | 423 | 2021 |
| 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 | 407 | 2012 |
| NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for Continuous Mobile Vision B Fang, X Zeng, M Zhang ACM MobiCom 2018, 2018 | 333 | 2018 |
| Multiview Transformers for Video Recognition S Yan, X Xiong, A Arnab, Z Lu, M Zhang, C Sun, C Schmid CVPR 2022, 2022 | 330 | 2022 |
| 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 | 328 | 2022 |
| 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 | 315 | 2011 |
| 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 | 304 | 2015 |
| MyBehavior: Automatic Personalized Health Feedback from User Behaviors and Preferences using Smartphones M Rabbi, MH Aung, M Zhang, T Choudhury ACM UbiComp 2015, 2015 | 301 | 2015 |
| 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 | 244 | 2013 |
| 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 | 233 | 2015 |
| 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 | 233 | 2014 |
| 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 | 196 | 2012 |
| 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 | 161 | 2021 |
| 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 | 154 | 2023 |
| FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction S Alam, L Liu, M Yan, M Zhang NeurIPS 2022, 2022 | 152 | 2022 |
| PyramidFL: A Fine-grained Client Selection Framework for Efficient Federated Learning C Li, X Zeng, M Zhang, Z Cao ACM MobiCom 2022, 2022 | 149 | 2022 |
Xiao ZengAmazon Lab126msu.edu의 이메일 확인됨
