Mi Zhang
Orcid: 0000-0001-7002-6757Affiliations:
- Ohio State University, Columbus, OH, USA
- Michigan State University, Department of Electrical and Computer Engineering, East Lansing, MI, USA (former)
- Cornell University, Ithaca, NY, USA (former)
- University of Southern California, Ming Hsieh Department of Electrical Engineering, Los Angeles, CA, USA (former)
According to our database1,
Mi Zhang
authored at least 82 papers
between 2009 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2023
AttFL: A Personalized Federated Learning Framework for Time-series Mobile and Embedded Sensor Data Processing.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2023
IEEE Internet Things J., August, 2023
IEEE Internet Things J., 2023
CoRR, 2023
Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias.
CoRR, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
GetMobile Mob. Comput. Commun., 2022
Federated Learning for the Internet of Things: Applications, Challenges, and Opportunities.
IEEE Internet Things Mag., 2022
CoRR, 2022
FedSEA: A Semi-Asynchronous Federated Learning Framework for Extremely Heterogeneous Devices.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022
Proceedings of the 19th Annual IEEE International Conference on Sensing, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
PyramidFL: a fine-grained client selection framework for efficient federated learning.
Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022
FedTune: Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective.
Proceedings of the IEEE Military Communications Conference, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
The Untold Secrets of WiFi-Calling Services: Vulnerabilities, Attacks, and Countermeasures.
IEEE Trans. Mob. Comput., 2021
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021
CoRR, 2021
Mercury: Efficient On-Device Distributed DNN Training via Stochastic Importance Sampling.
Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021
Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021
FedMask: Joint Computation and Communication-Efficient Personalized Federated Learning via Heterogeneous Masking.
Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021
Proceedings of the 40th IEEE Conference on Computer Communications, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
Distream: scaling live video analytics with workload-adaptive distributed edge intelligence.
Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020
Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
SecWIR: securing smart home IoT communications via wi-fi routers with embedded intelligence.
Proceedings of the MobiSys '20: The 18th Annual International Conference on Mobile Systems, 2020
SCYLLA: QoE-aware Continuous Mobile Vision with FPGA-based Dynamic Deep Neural Network Reconfiguration.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020
Proceedings of the IEEE International Conference on Image Processing, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
2019
Mobile Sensing of Alertness, Sleep, and Circadian Rhythm: Hardware & Software Platforms.
GetMobile Mob. Comput. Commun., 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
2018
When Mixed Reality meets Internet of Things: Toward the Realization of Ubiquitous Mixed Reality.
GetMobile Mob. Comput. Commun., 2018
When Virtual Reality Meets Internet of Things in the Gym: Enabling Immersive Interactive Machine Exercises.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018
The Untold Secrets of Operational Wi-Fi Calling Services: Vulnerabilities, Attacks, and Countermeasures.
CoRR, 2018
NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for Continuous Mobile Vision.
Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, 2018
Proceedings of the 2018 IEEE Conference on Communications and Network Security, 2018
2017
DeepASL: Enabling Ubiquitous and Non-Intrusive Word and Sentence-Level Sign Language Translation.
Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems, 2017
<i>MobileDeepPill</i>: A Small-Footprint Mobile Deep Learning System for Recognizing Unconstrained Pill Images.
Proceedings of the 15th Annual International Conference on Mobile Systems, 2017
2016
Proceedings of the 14th Annual International Conference on Mobile Systems, 2016
Proceedings of the 14th Annual International Conference on Mobile Systems, 2016
<i>BodyScan</i>: Enabling Radio-based Sensing on Wearable Devices for Contactless Activity and Vital Sign Monitoring.
Proceedings of the 14th Annual International Conference on Mobile Systems, 2016
HeadScan: A Wearable System for Radio-Based Sensing of Head and Mouth-Related Activities.
Proceedings of the 15th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2016
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016
2015
GetMobile Mob. Comput. Commun., 2015
An intelligent crowd-worker selection approach for reliable content labeling of food images.
Proceedings of the conference on Wireless Health, 2015
The relationship between clinical, momentary, and sensor-based assessment of depression.
Proceedings of the 9th International Conference on Pervasive Computing Technologies for Healthcare, 2015
Feasibility of B-mode diagnostic ultrasonic energy transfer and telemetry to a cm<sup>2</sup> sized deep-tissue implant.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015
DoppleSleep: a contactless unobtrusive sleep sensing system using short-range Doppler radar.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015
MyBehavior: automatic personalized health feedback from user behaviors and preferences using smartphones.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015
2014
Towards accurate non-intrusive recollection of stress levels using mobile sensing and contextual recall.
Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare, 2014
Proceedings of the 12th Annual International Conference on Mobile Systems, 2014
2013
IEEE J. Biomed. Health Informatics, 2013
Proceedings of the 2013 Asilomar Conference on Signals, 2013
2012
Robust Human Activity and Sensor Location Corecognition via Sparse Signal Representation.
IEEE Trans. Biomed. Eng., 2012
Proceedings of the 6th International Conference on Pervasive Computing Technologies for Healthcare, 2012
Proceedings of the ACM International Health Informatics Symposium, 2012
Sparse representation for motion primitive-based human activity modeling and recognition using wearable sensors.
Proceedings of the 21st International Conference on Pattern Recognition, 2012
USC-HAD: a daily activity dataset for ubiquitous activity recognition using wearable sensors.
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012
A preliminary study of sensing appliance usage for human activity recognition using mobile magnetometer.
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012
Beyond the standard clinical rating scales: Fine-grained assessment of post-stroke motor functionality using wearable inertial sensors.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Co-recognition of Human Activity and Sensor Location via Compressed Sensing in Wearable Body Sensor Networks.
Proceedings of the 2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks, 2012
2011
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
Proceedings of the CASEMANS@Ubicomp '11: The 5th ACM International workshop on context-awareness for self-managing systems, 2011
A feature selection-based framework for human activity recognition using wearable multimodal sensors.
Proceedings of the 6th International Conference on Body Area Networks, 2011
2009
Proceedings of the Mobile Computing, Applications, and Services, 2009