Zhang, Mi

Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study

Saeb, S., Zhang, M., Karr, C. J., Schueller, S. M., Corden, M. E., Kording, K. P., & Mohr, D. C. (2015) · Journal of Medical Internet Research

Mental Health Research TopicsDigital Mental Health Interventions

Cited by 782

Federated learning for the Internet of Things: Applications, challenges, and opportunities

Zhang, T., Gao, L., He, C., Zhang, M., Krishnamachari, B., & Avestimehr, A. S. (2022) · IEEE Internet of Things Magazine

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 412

DoppleSleep: a contactless unobtrusive sleep sensing system using short-range Doppler radar

Rahman, T., Adams, A. T., Ravichandran, R. V., Zhang, M., Patel, S. N., Kientz, J. A., & Choudhury, T. (2015) · Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Non-Invasive Vital Sign MonitoringContext-Aware Activity Recognition Systems

Cited by 175

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

Li, A., Sun, J., Zeng, X., Zhang, M., Li, H., & Chen, Y. (2021) · Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems

Privacy-Preserving Technologies in DataDomain Adaptation and Few-Shot Learning

Cited by 139

The Relationship between Clinical, Momentary, and Sensor-based Assessment of Depression

Saeb, S., Zhang, M., Kwasny, M., Karr, C., Kording, K., & Mohr, D. (2015) · Proceedings of the 9th International Conference on Pervasive Computing Technologies for Healthcare

Mental Health Research TopicsDigital Mental Health Interventions

Cited by 89

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

Zeng, X., Yan, M., & Zhang, M. (2021) · Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems

IoT and Edge/Fog ComputingPrivacy-Preserving Technologies in Data

Cited by 43