An ECG dataset representing real-world signal characteristics for wearable computers. - Qingxue Zhang; Chakameh Zahed; Viswam Nathan; Drew A. Hall; Roozbeh Jafari (BioCAS, 2015)

A case study on minimum energy operation for dynamic time warping signal processing in wearable computers. - Javad Birjandtalab; Qingxue Zhang; Roozbeh Jafari (PerCom Workshops, 2015)

Hear the heart: Daily cardiac health monitoring using Ear-ECG and machine learning. - Qingxue Zhang; Dian Zhou; Xuan Zeng 001 (UEMCON, 2017)

PulsePrint: Single-arm-ECG biometric human identification using deep learning. - Qingxue Zhang; Dian Zhou; Xuan Zeng 001 (UEMCON, 2017)

A Machine Learning-Empowered System for Long-Term Motion-Tolerant Wearable Monitoring of Blood Pressure and Heart Rate With Ear-ECG/PPG. - Qingxue Zhang; Xuan Zeng 001; Wenchuang Walter Hu; Dian Zhou (IEEE Access, 2017)

HeartID: A Multiresolution Convolutional Neural Network for ECG-Based Biometric Human Identification in Smart Health Applications. - Qingxue Zhang; Dian Zhou; Xuan Zeng 001 (IEEE Access, 2017)

A Novel Framework for Motion-Tolerant Instantaneous Heart Rate Estimation by Phase-Domain Multiview Dynamic Time Warping. - Qingxue Zhang; Dian Zhou; Xuan Zeng 001 (IEEE Trans. Biomed. Eng., 2017)

Deep Learning of Electrocardiography Dynamics for Biometric Human Identification in era of IoT. - Qingxue Zhang (UEMCON, 2018)

Real-time Activity and Fall Risk Detection for Aging Population Using Deep Learning. - Qingxue Zhang; Shuang Zhu (UEMCON, 2018)

A novel single-arm-worn 24 h heart disease monitor empowered by machine intelligence. - Qingxue Zhang; Dian Zhou; Xuan Zeng 001 (Biomed. Signal Process. Control., 2018)

Phase-domain Deep Patient-ECG Image Learning for Zero-effort Smart Health Security. - Qingxue Zhang (EMBC, 2019)

DeepWave: Non-contact Acoustic Receiver Powered by Deep Learning to Detect Sleep Apnea. - Qingxue Zhang; Ryan Boente (BIBE, 2020)

Intelligent Mobile Electrocardiogram Monitor-empowered Personalized Cardiac Big Data. - Jiadao Zou; Qingxue Zhang; Kyle Frick (UEMCON, 2020)

Design Implementation and Evaluation of a Mobile Continuous Blood Oxygen Saturation Monitoring System. - Qingxue Zhang; David Arney; Julian M. Goldman; Eric M. Isselbacher; Antonis A. Armoundas (Sensors, 2020)

eyeSay: Make Eyes Speak for ALS Patients with Deep Transfer Learning-empowered Wearable. - Jiadao Zou; Qingxue Zhang (EMBC, 2021)

UbiEi-Edge: Human Big Data Decoding Using Deep Learning on Mobile Edge. - Jiadao Zou; Qingxue Zhang (EMBC, 2021)

eyeSay: Eye Electrooculography Decoding with Deep Learning. - Jiadao Zou; Qingxue Zhang (ICCE, 2021)

s2Cloud: A Novel Cloud System for Mobile Health Big Data Management. - Jake Stauffer; Qingxue Zhang (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2021)

IEEE Access Special Section Editorial: Advanced Information Sensing and Learning Technologies for Data-Centric Smart Health Applications. - Qingxue Zhang; Vincenzo Piuri; Edward A. Clancy; Dian Zhou; Thomas Penzel; Wenchuang Walter Hu (IEEE Access, 2021)

IEEE Access Special Section Editorial: Smart Health Sensing and Computational Intelligence: From Big Data to Big Impacts. - Qingxue Zhang; Vincenzo Piuri; Edward A. Clancy; Dian Zhou; Thomas Penzel; Wenchuang Walter Hu; Hui Zheng (IEEE Access, 2021)

Wearable Big Data Pertinence Learning with Deep Spatiotemporal co-Mining. - Junhua Wong; Qingxue Zhang (I2MTC, 2022)

Big Data Edge on Consumer Devices for Precision Medicine. - Jake Stauffer; Qingxue Zhang (ICCE, 2022)

Deep Convolutional Autoencoder for Energy-efficient Smart Health Wearables In the Era of Big Data. - Junhua Wong; Qingxue Zhang (IPCCC, 2022)

Deep Learning of Biomechanical Dynamics With Spatial Variability for Lifestyle Management. - Kiirthanaa Gangadharan; Qingxue Zhang (LifeTech, 2022)

Deep Reinforcement Learning with IoT System Characterization and Knowledge Adaptation. - Jiadao Zou; Qingxue Zhang (UEMCON, 2022)

SpikeBASE: Spiking Neural Learning Algorithm With Backward Adaptation of Synaptic Efflux. - Jake Stauffer; Qingxue Zhang (IEEE Trans. Computers, 2022)

Knowledge Transferring in Deep Learning of Wearable Dynamics. - Caroline Chavez; Kiirthanaa Gangadharan; Qingxue Zhang (ICCE, 2023)

Deep Knowledge Distillation Learning for Efficient Wearable Data Mining on the Edge. - Junhua Wong; Qingxue Zhang (ICCE, 2023)

Spiking Neural Network with Backpropagation Learning for Brain Visual Dynamics Decoding. - Jake Stauffer; Qingxue Zhang (NER, 2023)

Deep Learning of Sparse Patterns in Medical IoT for Efficient Big Data Harnessing. - Junhua Wong; Qingxue Zhang (IEEE Access, 2023)

Efficient IoT Big Data Streaming With Deep-Learning-Enabled Dynamics. - Junhua Wong; Vincenzo Piuri; Fabio Scotti; Qingxue Zhang (IEEE Internet Things J., 2023)

Machine Learning Electrocardiogram for Mobile Cardiac Pattern Extraction. - Qingxue Zhang; Dian Zhou (Sensors, 2023)

Deep Transferable Intelligence for Spatial Variability Characterization and Data-Efficient Learning in Biomechanical Measurement. - Kiirthanaa Gangadharan; Qingxue Zhang (IEEE Trans. Instrum. Meas., 2023)

Spatial Variability Learning of Biomechanical Dynamics in Daily Lives. - Ming Liu; Qingxue Zhang (CCWC, 2024)

Maximizing Energy Efficiency of Mobile Biomechanical Decoding with Spatial Variability Mining. - Kiirthanaa Gangadharan; Cody Daniel; Qingxue Zhang (ICCE, 2024)

Deep Mining of Wearable Spatial Variability for Efficient Edge Computing. - Kiirthanaa Gangadharan; Qingxue Zhang (ICCE, 2024)

Spatial Dynamics Complementarity Learning with Graph Convolutional Network for Wearable Massive-sensor Computers. - Jiadao Zou; Christopher Jackman; Qingxue Zhang (ICCE, 2024)

EEG Prediction with Deep Recurrent Learning. - Jiadao Zou; Qingxue Zhang (ICCE, 2024)

Ultra-Efficient Edge Cardiac Disease Detection Towards Real-Time Precision Health. - Junhua Wong; Jeanne Nerbonne; Qingxue Zhang (IEEE Access, 2024)

Efficient Massive-Device Orchestration Through Reinforcement Learning With Boosted Deep Deterministic Policy Gradient. - Haowei Shi; Jiadao Zou; Qingxue Zhang (IEEE Internet Things J., 2024)

s2Cloud: a novel cloud-based precision health system for smart and secure IoT big data harnessing. - Jake Stauffer; Qingxue Zhang (Discov. Internet Things, 2024)

Deep-Source EEG Generation with Deep Learning from Different Configurations of Surface EEG. - Jiadao Zou; Qingxue Zhang (ICCE, 2025)