Mi Zhang

About

Mi Zhang is an Associate Professor and the Director of AIoT and Machine Learning Systems Lab in the Department of Computer Science and Engineering at The Ohio State University.

Work

The Ohio State University
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Associate Professor

US

Publications

Artificial Intelligence of Things: A Survey

Published by

ACM Transactions on Sensor Networks

Summary

journal-article

ETP: Learning Transferable ECG Representations via ECG-Text Pre-Training

Published by

ICASSP

Summary

conference-paper

WiVelo: Fine-grained Wi-Fi Walking Velocity Estimation

Published by

ACM Transactions on Sensor Networks

Summary

journal-article

ChirpTransformer: Versatile LoRa Encoding for Low-power Wide-area IoT

Summary

conference-paper

Demeter: Reliable Cross-soil LPWAN with Low-cost Signal Polarization Alignment

Summary

conference-paper

FedMultimodal: A Benchmark for Multimodal Federated Learning

Summary

conference-paper

AttFL

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Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Summary

journal-article

Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias

Published by

Conference on Neural Information Processing Systems (NeurIPS)

Summary

conference-paper

Deep AutoAugment

Published by

International Conference on Learning Representations (ICLR)

Summary

conference-paper

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

Published by

Conference on Neural Information Processing Systems (NeurIPS)

Summary

conference-paper

CATE: Computation-aware Neural Architecture Encoding with Transformers

Published by

International Conference on Machine Learning (ICML)

Summary

conference-paper

The Untold Secrets of WiFi-Calling Services: Vulnerabilities, Attacks, and Countermeasures

Published by

IEEE Transactions on Mobile Computing

Summary

journal-article

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

Published by

ACM Conference on Embedded Networked Sensor Systems (SenSys)

Summary

conference-paper

FlexDNN: Input-Adaptive On-Device Deep Learning for Efficient Mobile Vision

Published by

ACM/IEEE Symposium on Edge Computing (SEC)

Summary

conference-paper

Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?

Published by

Conference on Neural Information Processing Systems (NeurIPS)

Summary

conference-paper

Health Care Provider Perceptions of Consumer-Grade Devices and Apps for Tracking Health: A Pilot Study

Published by

JMIR mHealth and uHealth

Summary

journal-article

Health Care Provider Perceptions of Consumer-Grade Devices and Apps for Tracking Health: A Pilot Study (Preprint)

Summary

other

Exploring User Needs for a Mobile Behavioral-Sensing Technology for Depression Management: Qualitative Study

Published by

Journal of Medical Internet Research

Summary

journal-article

Exploring User Needs for a Mobile Behavioral-Sensing Technology for Depression Management: Qualitative Study (Preprint)

Summary

other

NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for Continuous Mobile Vision

Published by

Proceedings of the 24th Annual International Conference on Mobile Computing and Networking (MobiCom)

Summary

conference-paper

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

Published by

Journal of Medical Internet Research

Summary

journal-article

MyBehavior: Automatic Personalized Health Feedback from User Behaviors and Preferences using Smartphones

Published by

ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)

Summary

conference-paper