Mi Zhang

Orcid: 0000-0001-7002-6757

Affiliations:
  • 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 93 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
WiVelo: Fine-grained Wi-Fi Walking Velocity Estimation.
ACM Trans. Sens. Networks, July, 2024

WiCGesture: Meta-Motion-Based Continuous Gesture Recognition With Wi-Fi.
IEEE Internet Things J., May, 2024

Efficient Large Language Models: A Survey.
Trans. Mach. Learn. Res., 2024

D2O: Dynamic Discriminative Operations for Efficient Generative Inference of Large Language Models.
CoRR, 2024

Creating a Lens of Chinese Culture: A Multimodal Dataset for Chinese Pun Rebus Art Understanding.
CoRR, 2024

Benchmarking and Boosting Radiology Report Generation for 3D High-Resolution Medical Images.
CoRR, 2024

SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression.
CoRR, 2024

Electrocardiogram Instruction Tuning for Report Generation.
CoRR, 2024

IoT in the Era of Generative AI: Vision and Challenges.
CoRR, 2024

ChirpTransformer: Versatile LoRa Encoding for Low-power Wide-area IoT.
Proceedings of the 22nd Annual International Conference on Mobile Systems, 2024

Demeter: Reliable Cross-soil LPWAN with Low-cost Signal Polarization Alignment.
Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

ETP: Learning Transferable ECG Representations via ECG-Text Pre-Training.
Proceedings of the IEEE International Conference on Acoustics, 2024

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

Federated Learning Hyperparameter Tuning From a System Perspective.
IEEE Internet Things J., August, 2023

Client Selection in Federated Learning: Principles, Challenges, and Opportunities.
IEEE Internet Things J., 2023

FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things.
CoRR, 2023

GPT-FL: Generative Pre-trained Model-Assisted Federated Learning.
CoRR, 2023

NELoRa-Bench: A Benchmark for Neural-enhanced LoRa Demodulation.
CoRR, 2023

AutoTaskFormer: Searching Vision Transformers for Multi-task Learning.
CoRR, 2023

Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FedMultimodal: A Benchmark for Multimodal Federated Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

FedAudio: A Federated Learning Benchmark for Audio Tasks.
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
NELoRa: Neural-enhanced Demodulation for Low-Power WANs.
GetMobile Mob. Comput. Commun., 2022

Federated Learning for the Internet of Things: Applications, Challenges, and Opportunities.
IEEE Internet Things Mag., 2022

Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners.
CoRR, 2022

Federated Learning Hyper-Parameter Tuning from a System Perspective.
CoRR, 2022

Client Selection in Federated Learning: Principles, Challenges, and Opportunities.
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

WiVelo: Fine-grained Walking Velocity Estimation for Wi-Fi Passive Tracking.
Proceedings of the 19th Annual IEEE International Conference on Sensing, 2022

FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction.
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

Deep AutoAugment.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Multiview Transformers for Video Recognition.
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

Towards Position-Independent Sensing for Gesture Recognition with Wi-Fi.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective.
CoRR, 2021

A Field Guide to Federated Optimization.
CoRR, 2021

CATE: Computation-aware Neural Architecture Encoding with Transformers.
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

NELoRa: Towards Ultra-low SNR LoRa Communication with Neural-enhanced Demodulation.
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

DeepLoRa: Learning Accurate Path Loss Model for Long Distance Links in LPWAN.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

CATE: Computation-aware Neural Architecture Encoding with Transformers.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Deep Learning in the Era of Edge Computing: Challenges and Opportunities.
CoRR, 2020

FedML: A Research Library and Benchmark for Federated Machine Learning.
CoRR, 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

Wi-fi see it all: generative adversarial network-augmented versatile wi-fi imaging.
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

FlexDNN: Input-Adaptive On-Device Deep Learning for Efficient Mobile Vision.
Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020

Deep Subclass Linear Discriminant Analysis For Multimodal Feature Space Learning.
Proceedings of the IEEE International Conference on Image Processing, 2020

MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution.
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

Communication Challenges in the IoT.
IEEE Pervasive Comput., 2019

A closer look at network resolution for efficient network design.
CoRR, 2019

HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking.
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

The Dark Side of Operational Wi-Fi Calling Services.
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
Demo: Towards Immersive and Interactive Gym Exercises.
Proceedings of the 14th Annual International Conference on Mobile Systems, 2016

Poster: Towards Radio-based Sensing on Wearables.
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

AirSense: an intelligent home-based sensing system for indoor air quality analytics.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

2015
BodyBeat: Eavesdropping on our Body Using a Wearable Microphone.
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

BodyBeat: a mobile system for sensing non-speech body sounds.
Proceedings of the 12th Annual International Conference on Mobile Systems, 2014

2013
Human Daily Activity Recognition With Sparse Representation Using Wearable Sensors.
IEEE J. Biomed. Health Informatics, 2013

Towards practical energy expenditure estimation with mobile phones.
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

Towards pervasive physical rehabilitation using Microsoft Kinect.
Proceedings of the 6th International Conference on Pervasive Computing Technologies for Healthcare, 2012

Motion primitive-based human activity recognition using a bag-of-features approach.
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
Manifold Learning and Recognition of Human Activity Using Body-Area Sensors.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Context-aware fall detection using a Bayesian network.
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
OCRdroid: A Framework to Digitize Text Using Mobile Phones.
Proceedings of the Mobile Computing, Applications, and Services, 2009


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