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Qingxue Zhang
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- affiliation: University of Texas at Dallas, Department of Electrical Engineering, Richardson, TX, USA
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2020 – today
- 2024
- [j15]Junhua Wong, Jeanne Nerbonne, Qingxue Zhang
:
Ultra-Efficient Edge Cardiac Disease Detection Towards Real-Time Precision Health. IEEE Access 12: 9940-9951 (2024) - [j14]Jake Stauffer, Qingxue Zhang:
s2Cloud: a novel cloud-based precision health system for smart and secure IoT big data harnessing. Discov. Internet Things 4(1): 3 (2024) - [j13]Haowei Shi, Jiadao Zou, Qingxue Zhang
Efficient Massive-Device Orchestration Through Reinforcement Learning With Boosted Deep Deterministic Policy Gradient. IEEE Internet Things J. 11(3): 5143-5154 (2024) - [c26]Ming Liu, Qingxue Zhang:
Spatial Variability Learning of Biomechanical Dynamics in Daily Lives. CCWC 2024: 626-629 - [c25]Kiirthanaa Gangadharan, Cody Daniel, Qingxue Zhang:
Maximizing Energy Efficiency of Mobile Biomechanical Decoding with Spatial Variability Mining. ICCE 2024: 1-2 - [c24]Kiirthanaa Gangadharan, Qingxue Zhang:
Deep Mining of Wearable Spatial Variability for Efficient Edge Computing. ICCE 2024: 1-2 - [c23]Jiadao Zou, Christopher Jackman, Qingxue Zhang:
Spatial Dynamics Complementarity Learning with Graph Convolutional Network for Wearable Massive-sensor Computers. ICCE 2024: 1-4 - [c22]Jiadao Zou, Qingxue Zhang:
EEG Prediction with Deep Recurrent Learning. ICCE 2024: 1-3 - 2023
- [j12]Junhua Wong, Qingxue Zhang
Deep Learning of Sparse Patterns in Medical IoT for Efficient Big Data Harnessing. IEEE Access 11: 25856-25864 (2023) - [j11]Junhua Wong, Vincenzo Piuri
Efficient IoT Big Data Streaming With Deep-Learning-Enabled Dynamics. IEEE Internet Things J. 10(6, March 15): 4770-4782 (2023) - [j10]Qingxue Zhang, Dian Zhou:
Machine Learning Electrocardiogram for Mobile Cardiac Pattern Extraction. Sensors 23(12): 5723 (2023) - [j9]Kiirthanaa Gangadharan
Deep Transferable Intelligence for Spatial Variability Characterization and Data-Efficient Learning in Biomechanical Measurement. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [c21]Caroline Chavez, Kiirthanaa Gangadharan, Qingxue Zhang:
Knowledge Transferring in Deep Learning of Wearable Dynamics. ICCE 2023: 1-4 - [c20]Junhua Wong, Qingxue Zhang:
Deep Knowledge Distillation Learning for Efficient Wearable Data Mining on the Edge. ICCE 2023: 1-3 - [c19]Jake Stauffer, Qingxue Zhang:
Spiking Neural Network with Backpropagation Learning for Brain Visual Dynamics Decoding. NER 2023: 1-6 - 2022
- [j8]Jake Stauffer, Qingxue Zhang
SpikeBASE: Spiking Neural Learning Algorithm With Backward Adaptation of Synaptic Efflux. IEEE Trans. Computers 71(11): 2707-2716 (2022) - [c18]Junhua Wong, Qingxue Zhang:
Wearable Big Data Pertinence Learning with Deep Spatiotemporal co-Mining. I2MTC 2022: 1-4 - [c17]Jake Stauffer, Qingxue Zhang:
Big Data Edge on Consumer Devices for Precision Medicine. ICCE 2022: 1-3 - [c16]Junhua Wong, Qingxue Zhang:
Deep Convolutional Autoencoder for Energy-efficient Smart Health Wearables In the Era of Big Data. IPCCC 2022: 202-206 - [c15]Kiirthanaa Gangadharan, Qingxue Zhang:
Deep Learning of Biomechanical Dynamics With Spatial Variability for Lifestyle Management. LifeTech 2022: 514-515 - [c14]Jiadao Zou, Qingxue Zhang:
Deep Reinforcement Learning with IoT System Characterization and Knowledge Adaptation. UEMCON 2022: 24-27 - 2021
- [j7]Qingxue Zhang
IEEE Access Special Section Editorial: Advanced Information Sensing and Learning Technologies for Data-Centric Smart Health Applications. IEEE Access 9: 30404-30407 (2021) - [j6]Qingxue Zhang
IEEE Access Special Section Editorial: Smart Health Sensing and Computational Intelligence: From Big Data to Big Impacts. IEEE Access 9: 30452-30455 (2021) - [c13]Jiadao Zou, Qingxue Zhang:
eyeSay: Make Eyes Speak for ALS Patients with Deep Transfer Learning-empowered Wearable. EMBC 2021: 377-381 - [c12]Jiadao Zou, Qingxue Zhang:
UbiEi-Edge: Human Big Data Decoding Using Deep Learning on Mobile Edge. EMBC 2021: 1861-1864 - [c11]Jiadao Zou, Qingxue Zhang:
eyeSay: Eye Electrooculography Decoding with Deep Learning. ICCE 2021: 1-3 - [c10]Jake Stauffer, Qingxue Zhang:
s2Cloud: A Novel Cloud System for Mobile Health Big Data Management. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2021: 380-383 - 2020
- [j5]Qingxue Zhang, David Arney, Julian M. Goldman
Design Implementation and Evaluation of a Mobile Continuous Blood Oxygen Saturation Monitoring System. Sensors 20(22): 6581 (2020) - [c9]Qingxue Zhang, Ryan Boente:
DeepWave: Non-contact Acoustic Receiver Powered by Deep Learning to Detect Sleep Apnea. BIBE 2020: 723-727 - [c8]Jiadao Zou, Qingxue Zhang, Kyle Frick:
Intelligent Mobile Electrocardiogram Monitor-empowered Personalized Cardiac Big Data. UEMCON 2020: 280-284
2010 – 2019
- 2019
- [c7]Qingxue Zhang:
Phase-domain Deep Patient-ECG Image Learning for Zero-effort Smart Health Security. EMBC 2019: 2622-2628 - 2018
- [j4]Qingxue Zhang, Dian Zhou, Xuan Zeng:
A novel single-arm-worn 24 h heart disease monitor empowered by machine intelligence. Biomed. Signal Process. Control. 42: 129-133 (2018) - [c6]Qingxue Zhang:
Deep Learning of Electrocardiography Dynamics for Biometric Human Identification in era of IoT. UEMCON 2018: 885-888 - [c5]Qingxue Zhang, Shuang Zhu:
Real-time Activity and Fall Risk Detection for Aging Population Using Deep Learning. UEMCON 2018: 1055-1059 - 2017
- [j3]Qingxue Zhang
A Machine Learning-Empowered System for Long-Term Motion-Tolerant Wearable Monitoring of Blood Pressure and Heart Rate With Ear-ECG/PPG. IEEE Access 5: 10547-10561 (2017) - [j2]Qingxue Zhang
HeartID: A Multiresolution Convolutional Neural Network for ECG-Based Biometric Human Identification in Smart Health Applications. IEEE Access 5: 11805-11816 (2017) - [j1]Qingxue Zhang
A Novel Framework for Motion-Tolerant Instantaneous Heart Rate Estimation by Phase-Domain Multiview Dynamic Time Warping. IEEE Trans. Biomed. Eng. 64(11): 2562-2574 (2017) - [c4]Qingxue Zhang, Dian Zhou, Xuan Zeng:
Hear the heart: Daily cardiac health monitoring using Ear-ECG and machine learning. UEMCON 2017: 448-451 - [c3]Qingxue Zhang, Dian Zhou, Xuan Zeng:
PulsePrint: Single-arm-ECG biometric human identification using deep learning. UEMCON 2017: 452-456 - 2015
- [c2]Qingxue Zhang, Chakameh Zahed, Viswam Nathan, Drew A. Hall
An ECG dataset representing real-world signal characteristics for wearable computers. BioCAS 2015: 1-4 - [c1]Javad Birjandtalab, Qingxue Zhang, Roozbeh Jafari
A case study on minimum energy operation for dynamic time warping signal processing in wearable computers. PerCom Workshops 2015: 415-420
Coauthor Index
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last updated on 2024-10-07 22:13 CEST by the dblp team
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