Qingxue Zhang

Orcid: 0000-0001-7125-7928

Affiliations:
  • University of Texas at Dallas, Department of Electrical Engineering, Richardson, TX, USA


According to our database1, Qingxue Zhang authored at least 41 papers between 2015 and 2024.

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Bibliography

2024
s<sup>2</sup>Cloud: a novel cloud-based precision health system for smart and secure IoT big data harnessing.
Discov. Internet Things, December, 2024

Efficient Massive-Device Orchestration Through Reinforcement Learning With Boosted Deep Deterministic Policy Gradient.
IEEE Internet Things J., February, 2024

Ultra-Efficient Edge Cardiac Disease Detection Towards Real-Time Precision Health.
IEEE Access, 2024

EEG Prediction with Deep Recurrent Learning.
Proceedings of the IEEE International Conference on Consumer Electronics, 2024

Spatial Dynamics Complementarity Learning with Graph Convolutional Network for Wearable Massive-sensor Computers.
Proceedings of the IEEE International Conference on Consumer Electronics, 2024

Deep Mining of Wearable Spatial Variability for Efficient Edge Computing.
Proceedings of the IEEE International Conference on Consumer Electronics, 2024

Maximizing Energy Efficiency of Mobile Biomechanical Decoding with Spatial Variability Mining.
Proceedings of the IEEE International Conference on Consumer Electronics, 2024

Spatial Variability Learning of Biomechanical Dynamics in Daily Lives.
Proceedings of the 14th IEEE Annual Computing and Communication Workshop and Conference, 2024

2023
Deep Transferable Intelligence for Spatial Variability Characterization and Data-Efficient Learning in Biomechanical Measurement.
IEEE Trans. Instrum. Meas., 2023

Machine Learning Electrocardiogram for Mobile Cardiac Pattern Extraction.
Sensors, 2023

Efficient IoT Big Data Streaming With Deep-Learning-Enabled Dynamics.
IEEE Internet Things J., 2023

Deep Learning of Sparse Patterns in Medical IoT for Efficient Big Data Harnessing.
IEEE Access, 2023

Spiking Neural Network with Backpropagation Learning for Brain Visual Dynamics Decoding.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

Deep Knowledge Distillation Learning for Efficient Wearable Data Mining on the Edge.
Proceedings of the IEEE International Conference on Consumer Electronics, 2023

Knowledge Transferring in Deep Learning of Wearable Dynamics.
Proceedings of the IEEE International Conference on Consumer Electronics, 2023

2022
SpikeBASE: Spiking Neural Learning Algorithm With Backward Adaptation of Synaptic Efflux.
IEEE Trans. Computers, 2022

Deep Reinforcement Learning with IoT System Characterization and Knowledge Adaptation.
Proceedings of the 13th IEEE Annual Ubiquitous Computing, 2022

Deep Learning of Biomechanical Dynamics With Spatial Variability for Lifestyle Management.
Proceedings of the 4th IEEE Global Conference on Life Sciences and Technologies, 2022

Deep Convolutional Autoencoder for Energy-efficient Smart Health Wearables In the Era of Big Data.
Proceedings of the IEEE International Performance, 2022

Big Data Edge on Consumer Devices for Precision Medicine.
Proceedings of the IEEE International Conference on Consumer Electronics, 2022

Wearable Big Data Pertinence Learning with Deep Spatiotemporal co-Mining.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022

2021
IEEE Access Special Section Editorial: Smart Health Sensing and Computational Intelligence: From Big Data to Big Impacts.
IEEE Access, 2021

IEEE Access Special Section Editorial: Advanced Information Sensing and Learning Technologies for Data-Centric Smart Health Applications.
IEEE Access, 2021

s<sup>2</sup>Cloud: A Novel Cloud System for Mobile Health Big Data Management.
Proceedings of the 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2021

eyeSay: Eye Electrooculography Decoding with Deep Learning.
Proceedings of the IEEE International Conference on Consumer Electronics, 2021

UbiEi-Edge: Human Big Data Decoding Using Deep Learning on Mobile Edge.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

eyeSay: Make Eyes Speak for ALS Patients with Deep Transfer Learning-empowered Wearable.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Design Implementation and Evaluation of a Mobile Continuous Blood Oxygen Saturation Monitoring System.
Sensors, 2020

Intelligent Mobile Electrocardiogram Monitor-empowered Personalized Cardiac Big Data.
Proceedings of the 11th IEEE Annual Ubiquitous Computing, 2020

DeepWave: Non-contact Acoustic Receiver Powered by Deep Learning to Detect Sleep Apnea.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019
Phase-domain Deep Patient-ECG Image Learning for Zero-effort Smart Health Security.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
A novel single-arm-worn 24 h heart disease monitor empowered by machine intelligence.
Biomed. Signal Process. Control., 2018

Real-time Activity and Fall Risk Detection for Aging Population Using Deep Learning.
Proceedings of the 9th IEEE Annual Ubiquitous Computing, 2018

Deep Learning of Electrocardiography Dynamics for Biometric Human Identification in era of IoT.
Proceedings of the 9th IEEE Annual Ubiquitous Computing, 2018

2017
A Novel Framework for Motion-Tolerant Instantaneous Heart Rate Estimation by Phase-Domain Multiview Dynamic Time Warping.
IEEE Trans. Biomed. Eng., 2017

HeartID: A Multiresolution Convolutional Neural Network for ECG-Based Biometric Human Identification in Smart Health Applications.
IEEE Access, 2017

A Machine Learning-Empowered System for Long-Term Motion-Tolerant Wearable Monitoring of Blood Pressure and Heart Rate With Ear-ECG/PPG.
IEEE Access, 2017

PulsePrint: Single-arm-ECG biometric human identification using deep learning.
Proceedings of the 8th IEEE Annual Ubiquitous Computing, 2017

Hear the heart: Daily cardiac health monitoring using Ear-ECG and machine learning.
Proceedings of the 8th IEEE Annual Ubiquitous Computing, 2017

2015
A case study on minimum energy operation for dynamic time warping signal processing in wearable computers.
Proceedings of the 2015 IEEE International Conference on Pervasive Computing and Communication Workshops, 2015

An ECG dataset representing real-world signal characteristics for wearable computers.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2015


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