Publication

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PUBLICATIONS – Conference:

J. Zou, Q. Zhang, “Deep Learning with System Characterization and Knowledge Adaptation”, The 44th IEEE International Engineering in Medicine and Biology Conference 2022, Under Review

K. Gangadharan, Q. Zhang, “Deep Learning of Biomechanical Dynamics With Spatial Variability for Lifestyle Management”, IEEE Global Conference on Life Sciences and Technologies 2022

J. Wong, Q. Zhang, “Wearable Big Data Pertinence Learning with Deep Spatiotemporal co-Mining”, IEEE International Instrumentation and Measurement Technology Conference 2022, Canada

J. Stauffer, Q. Zhang, “Big Data Edge on Consumer Devices for Precision Medicine”, The 40th IEEE International Conference on Consumer Electronics 2022

J. Stauffer, Q. Zhang, “s2Cloud: A Novel Cloud System for Mobile Health Big Data Management”, IEEE SmartData Conference 2021

J. Zou and Q. Zhang, “eyeSay: Make Eyes Speak for ALS Patients with Deep Transfer Learning-empowered Wearable,“ IEEE EMBS Annual Conference, 2021

J. Zou and Q. Zhang, “UbiEi-Edge: Human Big Data Decoding Using Deep Learning on Edge,“ IEEE EMBS Annual Conference, 2021

J. Stauffer, Q. Zhang, A. C., C. J., “Deep Reconstruction Learning Towards Wearable Biomechanical Big Data,” IEEE EMBS Conference on Biomedical Engineering and Sciences, 2021.

J. Zou and Q. Zhang, “eyeSay: Eye Electrooculography Decoding with Deep Learning,” The 39th IEEE International Conference on Consumer Electronics, Virtual, USA, 2020.

Q. Zhang, R. B., “Non-contact Acoustic Receiver Powered by Deep Learning to Detect Sleep Apnea,” The 20th IEEE International Conference on BioInformatics And BioEngineering, Virtual, USA, 2020.

J. Zou and Q. Zhang, “Intelligent Mobile Electrocardiogram Monitor-empowered Personalized Cardiac Big Data”, The 11th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, Virtual, USA, 2020.

Q. Zhang, “All-ECG: a Least-Number of Leads ECG Monitor for Standard 12-Lead ECG Tracking During Motion,” The 6th annual IEEE EMB Strategic Conference on Healthcare Innovations and Point-of-care Technologies, USA, 2019.

Q. Zhang, “Deep Learning of Biomechanical Dynamics in Mobile Daily Activity and Fall Risk Monitoring,” The 6th annual IEEE EMB Strategic Conference on Healthcare Innovations and Point-of-care Technologies, USA, 2019.

Q. Zhang, “Phase-domain Deep Patient-ECG Image Learning for Zero-effort Smart Health Security,” The 41st IEEE International Engineering in Medicine and Biology Conference, Berlin, Germany, 2019.

Q. Zhang, S. Zhu, “Real-time Activity and Fall Risk Detection for Aging Population Using Deep Learning,” The 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference, New York, USA, 2018.

Q. Zhang, “Deep Learning of Electrocardiography Dynamics for Biometric Human Identification in era of IoT,” The 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference, New York, USA, 2018.

Q. Zhang, D. Zhou, X. Zeng, “PulsePrint: Single-arm-ECG Biometric Human Identification Using Deep Learning,” The 8th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference, New York, USA, 2017. (Best Paper Award)

Q. Zhang, D. Zhou, X. Zeng, “Hear the Heart: Daily Cardiac Health Monitoring Using Ear-ECG and Machine Learning,” The 8th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference, New York, USA, 2017.

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PUBLICATIONS – Journal: 

K. Gangadharan, Q. Zhang, “Deep Transferable Intelligence for Wearable Big Data Mining”, IEEE Transactions on Biomedical Engineering (Under Review), 2022

J. Wong, et. al, “Ultra-Efficient, Secure Edge Intelligence towards Real-time, Long-term Precision Health Big Data”, IEEE Transactions on Instrumentation & Measurement (Under Review), 2022

J. Wong, et. al., “Efficient IoT Big Data Streaming with Deep Learning-enabled Dynamics Sparsification,” IEEE Internet of Things Journal (Under Review), 2022

J. Stauffer and Q. Zhang, “A Novel Cloud System for Smart and Secure Big Data Management,“ IEEE Transactions (Under Review), 2022

Q. Zhang, et. al, “SpikeBASE: Spiking Neural Learning Algorithm with Backward Adaptation of Synaptic Efflux,“ IEEE Transactions on Computers, 2022

J. Zou and Q. Zhang, “Brain Visual Dynamics Decoding with Deep Learning & Edge Computing,“ IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022

Q. Zhang, V. Piuri, E. Clancy, D. Zhou, T. Penzel, W. Hu, H. Zheng, Special Section Editorial: Smart Health Sensing and Computational Intelligence: From Big Data to Big Impacts, IEEE Access Journal, 2021

Q. Zhang, V. Piuri, E. Clancy, D. Zhou, T. Penzel, W. Hu, Special Section Editorial: Advanced Information Sensing and Learning Technologies for Data-Centric Smart Health Applications, IEEE Access Journal, 2021

Q. Zhang, D. Arney, J. Goldman, E. Isselbacher, A. Armoundas, “Design Implementation and Evaluation of a Mobile Continuous Blood Oxygen Saturation Monitoring System,” Sensors Journal, vol. 20, 2020.

Q. Zhang, D. Zhou, X. Zeng, “A Novel Single-arm-worn 24-hour Heart Disease Monitor Empowered by Machine Intelligence,” Biomedical Signal Processing and Control, 2018.

Q. Zhang, D. Zhou, “Deep Arm/Ear-ECG Image Learning for Highly Wearable Biometric Human Identification,” Annals of Biomedical Engineering, vol. 46, p.122, 2018.

Q. Zhang, D. Zhou, X. Zeng, ” HeartID: A Multiresolution Convolutional Neural Network for ECG-based Biometric Human Identification in Smart Health Applications,” IEEE Access Journal, vol. 5, 2017.

Q. Zhang, D. Zhou, X. Zeng, “A Novel Framework for Motion-tolerant Instantaneous Heart Rate Estimation By Phase-domain Multi-view Dynamic Time Warping,” IEEE Transactions on Biomedical Engineering, vol. 64, p. 2562, 2017.

Q. Zhang, W. Hu, X. Zeng, D. Zhou, “A Machine Learning-empowered Motion-tolerant System for Long-term Wearable Monitoring of Blood Pressure and Heart Rate with Ear-ECG/PPG,” IEEE Access Journal, vol. 5, 2017. (Featured Article)

Q. Zhang, D. Zhou, X. Zeng, “Highly Wearable Cuff-less Blood Pressure and Heart Rate Monitoring with Single-arm-ECG and PPG Signals,” Biomedical Engineering Online, vol. 16, p. 23, 2017.

Q. Zhang, D. Zhou, X. Zeng, “Machine Learning-empowered Biometric Methods for Biomedicine Applications,” AIMS Medical Science, vol. 4, p.274, 2017.

Q. Zhang, D. Zhou, X. Zeng, “A Novel Machine Learning-Enabled Framework for Instantaneous Heart Rate Monitoring from Motion-artifact-corrupted ECG Signals,” Physiological Measurement, vol. 37, p. 1945, 2016.

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PUBLICATIONS – Patent:

Q. Zhang, Q. Xie, Y. Yang, “Granular, Real-time, and Low Power Signal Filtering Algorithm and Apparatus”, Granted CN 101800526 B

W. Xu, Q. Zhang, Y. Bai, “High-throughput and Efficient Algorithm and Apparatus for Fast Fourier Transformation”, Granted CN 101794275 B

Q. Zhang, T. Zhang, Y. Yang., “User Detection Algorithm and Device for Super-wide Coverage”, Granted US 8868061 B2; Granted CN 102036271 B

C. Zhao, Q. Zhang, “System and Storage Architecture for High-throughput, Hybrid, Random Access of Massive on-chip Data”, Granted US 9483428 B2; Granted EU 2829988 B1; Granted CN 103399827 B

Q. Zhang, Y. Xu, X. Wang, “Method and Apparatus for Automatic and Efficient Data Transfer”, Granted CN 101227689 B

B. Zhou, Q. Zhang, “Massive and Real-time User Detection Algorithm and Device”, Granted CN 101572565 B

Q. Zhang, C. Zhao, “Multiply–accumulate Architecture”, US, filed; CN 104252331 A

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PUBLICATIONS – Book Chapter:

Q. Zhang, “Artificial Intelligence-enabled ECG Big Data Mining for Pervasive Heart Health Monitoring,” Biomedical Signal Processing – Advances in Theory, Algorithms and applications, Springer, 2019.

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