Publications

Feb 2, 2025 · 6 min read

Full publications can be found on my Google Scholar.

📓 Journal Articles

  • Milan Kapur, Kezhi Li, Alexander Brown, Zhiqiang Huo, Philip Knight, Gwyneth Davies, Padmanabhan Ramnarayan
    “Identification of physiological adverse events using continuous vital signs monitoring during paediatric critical care transport: a novel data-driven approach” medRxiv, SUBMITTED, March 2025.

  • Tony Liu, Andrew J Krentz, Zhiqiang Huo, Vasa Curcin. “Opportunities and challenges of cardiovascular disease risk prediction for primary prevention using machine learning and electronic health records: a systematic review” Reviews In Cardiovascular Medicine, ACCEPTED, March, 2025.

  • Zhiqiang Huo, John Booth, Thomas Monks, Philip Knight, Liam Watson, Mark Peters, Christina Pagel, Padmanabhan Ramnarayan, Kezhi Li.
    “Dynamic Mortality Prediction in Critically Ill Children during Inter-hospital Transports to PICUs Using Explainable AI.”
    npj Digital Medicine (5-year IF: 15.2), ACCEPTED, Jan. 2025.

  • Xiao, Yiming, Haidong Shao, Jian Lin, Zhiqiang Huo, and Bin Liu.
    “BCE-FL: A Secure and Privacy-Preserving Federated Learning System for Device Fault Diagnosis Under Non-IID Condition in IIoT.”
    IEEE Internet of Things Journal (5-year IF: 9), 2023.

  • Zhiqiang Huo, John Booth, Thomas Monks, Philip Knight, Liam Watson, Mark Peters, Christina Pagel, Padmanabhan Ramnarayan, Kezhi Li.
    “Distribution and Trajectory of Vital Signs from High-Frequency Continuous Monitoring during Pediatric Critical Care Transport.”
    Intensive Care Medicine – Paediatric and Neonatal (ICMPN), 2023.

  • Xing Yang, Lei Shu, Kailiang Li, Zhiqiang Huo, Sheng Shu, Edmond Nurellari.
    “A Lightweight Fault-Detection Scheme for Resource-Constrained Solar Insecticidal Lamp IoTs.”
    Sensors (5-year IF: 3.7), 23, 6672, 2023.

  • X. Zou, W. Liu, Zhiqiang Huo, S. Wang, et al.
    “Current Status and Prospects of Research on Sensor Fault Diagnosis of Agricultural Internet of Things.”
    Sensors (5-year IF: 3.7), 23 (5), 2528, 2023.

  • Yiming Xiao, Haidong Shao, Songyu Han, Zhiqiang Huo, Jiafu Wan.
    “Novel Joint Transfer Network for Unsupervised Bearing Fault Diagnosis from Simulation Domain to Experimental Domain.”
    IEEE/ASME Transactions on Mechatronics (5-year IF: 6.4), 27 (6), 5254-5263, 2023.

  • Zhiqiang Huo, Miguel Martínez-García, Yu Zhang, Lei Shu.
    “A Multi-sensor Information Fusion Method for High-Reliability Fault Diagnosis of Rotating Machinery.”
    IEEE Transactions on Instrumentation and Measurement (5-year IF: 5.6), 2021.

  • Ye Liu, Lei Shu, Zhiqiang Huo, Kim F. Tsang, Gerhard P. Hancke.
    “Collaborative Industrial Internet of Things for Noise Mapping: Prospects and Research Opportunities.”
    IEEE Industrial Electronics Magazine (5-year IF: 7.5), 2021.

  • Zhiqiang Huo, Miguel Martínez-García, Yu Zhang, Ruqiang Yan, Lei Shu.
    “Entropy Measures in Machine Fault Diagnosis: Insights and Applications.”
    IEEE Transactions on Instrumentation and Measurement (5-year IF: 5.6), 69(6), 2607-2620, 2020.

  • Zhiqiang Huo, Yu Zhang, Gbanaibolou Jombo, Lei Shu.
    “Adaptive Multiscale Weighted Permutation Entropy for Rolling Bearing Fault Diagnosis.”
    IEEE Access (5-year IF: 3.7), 8, 87529 – 87540, 2020.

  • Ye Liu, Xiaoyuan Ma, Lei Shu, Qing Yang, Yu Zhang, Zhiqiang Huo, Zhangbing Zhou.
    “Internet of Things for Noise Mapping in Smart Cities: State-of-the-Art and Future Directions.”
    IEEE Network (5-year IF: 8.5), 2020.

  • Weifeng Sun, Min Tang, Lijun Zhang, Zhiqiang Huo, Lei Shu.
    “A Survey of Using Swarm Intelligence Algorithms in IoT.”
    Sensors 5-year IF: 3.7, 20(5), 1420, 2020.

  • Zhiqiang Huo, Yu Zhang, Pierre Francq, Lei Shu, Jianfeng Huang.
    “Incipient Fault Diagnosis of Roller Bearing using Optimized Wavelet Transform based Multi-speed Vibration Signatures.”
    IEEE Access (5-year IF: 3.7), 5, 19442-19456, 2017.

  • Lei Shu, Yuanfang Chen, Zhiqiang Huo, Neil Bergmann, Lei Wang.
    “When Mobile Crowd Sensing Meets Traditional Industry.”
    IEEE Access (5-year IF: 3.7), 5, 15300-15307, 2017.

🗣 Conference Papers

  • Zhiqiang Huo, lan Volkov, Timothy Neate, Lei Lu, David Wyatt, Sophie Rowland-Coomber, Martin Chapman, Charles Wolfe, Iain Marshall, Vasa Curcin “Developing One-Click Android-based App to Support Home Blood Pressure Monitoring for Stroke Survivors” The 11th European Stroke Organisation Conference – (ESOC) 2025, Abstract, ACCEPTED, 2025.

  • Zhiqiang Huo, Chun Hin Ko, Timothy Neate, Lei Lu, David Wyatt, Sophie Rowland-Coomber, Martin Chapman, Charles Wolfe, Iain Marshall, Vasa Curcin. “Exploring the Use of Large Language Models to Recognize Measurement Values from Blood Pressure Monitors” The 11th European Stroke Organisation Conference – (ESOC) 2025, Abstract, ACCEPTED, 2025.

  • Zhiqiang Huo, Timothy Neate, Fara Hamidi, David Wyatt, Sophie Rowland-Coomber, Martin Chapman, Charles Wolfe, Iain J. Marshall, Vasa Curcin. “A Preliminary Usability Evaluation Study of a Co-Designed Patient Portal for Enhancing Stroke Survivors’ Self-Management”
    The 12th IEEE International Conference on Healthcare Informatics (IEEE ICHI 2025), ACCEPTED, 2025.

  • Zhiqiang Huo, T. Neate, D. Wyatt, S. Rowland-Coomber, M. Chapman, I. Marshall, C. Wolfe, V. Curcin.
    “A Preliminary Case Study of Developing A Web-based Digital Portal for Stroke Survivors using Synthetic Personal Health Data.”
    The 12th IEEE International Conference on Healthcare Informatics (IEEE ICHI 2024), 2024.

  • Zhiqiang Huo, T. Neate, D. Wyatt, S. Rowland-Coomber, M. Chapman, I. Marshall, C. Wolfe, V. Curcin.
    “Co-designing a User-Centred Digital Portal to Support Health-related Self-management for Stroke Survivors.”
    The 12th IEEE International Conference on Healthcare Informatics (IEEE ICHI 2024), 2024.

  • Zhiqiang Huo, D. Wyatt, S. Rowland-Coomber, T. Neate, M. Chapman, V. Curcin, I. Marshall, C. Wolfe.
    “From Insights to Empowerment: Co-designing a Data-driven Self-management Patient Portal for Stroke Survivors with Integrated Knowledge Translation.”
    2023 UK Stroke Forum, Birmingham, UK, December 2023.

  • Zhiqiang Huo, T. Neate, I. Marshall, M. Chapman, V. Curcin.
    “Designing User-Centred Patient Portals for Stroke Patients: Challenges in Accessibility, Engagement, and Interpretability.”
    CHI’23 Workshop on Intelligent Data-Driven Health Interfaces, April 2022.

  • Zhiqiang Huo, Yu Zhang, Lei Shu, Xiaowen Liao.
    “Edge Permutation Entropy: An Improved Entropy Measure for Time-Series Analysis.”
    The 45th Annual Conference of the IEEE Industrial Electronics Society (IECON), 2019.

  • Mei Li, Zhiqiang Huo, Fabien Caus, Yu Zhang.
    “Comparative Study of Combined Fault Diagnosis Schemes Based on Convolutional Neural Network.”
    Proceedings of ICPCSEE, 2019.

  • Zhiqiang Huo, Yu Zhang, Lei Shu, Yunrong Lv, Shuiquan Lin.
    “Bearing Fault Diagnosis using Multi-sensor Fusion based on Weighted D-S Evidence Theory.”
    Proceedings of Mechatronika, 2018.

  • Zhiqiang Huo, Yu Zhang, Lei Shu.
    “Fine-to-Coarse Multiscale Permutation Entropy for Bearing Fault Diagnosis.”
    Proceedings of IWCMC, 2018.

  • Zhiqiang Huo, Yu Zhang, Lei Shu.
    “A Comparative Study of WPD and EMD for Shaft Fault Diagnosis.”
    Proceedings of IEEE IECON, 2017.

  • Zhiqiang Huo, Yu Zhang, Richard Sath, Lei Shu.
    “Self-adaptive Fault Diagnosis of Roller Bearings using Infrared Thermal Images.”
    Proceedings of IEEE IECON, 2017.

  • Zhiqiang Huo, Yu Zhang, Zhangbing Zhou, Jianfeng Huang.
    “Crack Detection in Rotating Shafts using Wavelet Analysis, Shannon Entropy, and Multi-class SVM.”
    Proceedings of INISCOM, 2017.

  • Zhiqiang Huo, Yu Zhang, Lei Shu.
    “A Short Survey on Fault Diagnosis of Rotating Machinery using Entropy Techniques.”
    Proceedings of INISCOM, 2017.

  • Zhiqiang Huo, Mithun Mukherjee, Lei Shu, Yuanfang Chen, Zhangbing Zhou.
    “Cloud-based Data-intensive Framework towards Fault Diagnosis in Large-scale Petrochemical Plant.”
    Proceedings of IEEE IWCMC, 2016.

  • Xuhui Zhang, Lei Shu, Zhiqiang Huo, Mithun Mukherjee, Yu Zhang.
    “A Short Review of Constructing Noise Map using Crowdsensing Technology.”
    Proceedings of CollaborateCom, 2017.

  • Zhiqiang Huo, Lei Shu, Zhangbing Zhou, Yuanfang Chen, Kailiang Li, Junlin Zeng.
    “Data Collection Middleware for Crowdsourcing-based Industrial Sensing Intelligence.”
    Proceedings of Mobihoc, 2015.

  • Lei Shu, Junlin Zeng, Kailiang Li, Zhiqiang Huo, Xiaoling Wu, Xianjun Wu, and Huilin Sun.
    “WIFI-based Smart Car for Toxic Gas Monitoring in Large-scale Petrochemical Plants.”
    Proceedings of IEEE ICCE-TW, 2015.

  • Lei Shu, Kailiang Li, Junlin Zeng, Xiangjie Li, Huilin Sun, Zhiqiang Huo, and Guangjie Han.
    “Demo Abstract: A Smart Helmet for Network-Level Early Warning in Large-Scale Petrochemical Plants.”
    Proceedings of ACM/IEEE IPSN, 2015.

  • Lei Shu, Zhiqiang Huo, Zhangbing Zhou, Kailiang Li, Junlin Zeng, and Huilin Sun.
    “Poster Abstract: Using Wearable Equipment to Construct Monitoring Maps in Large-scale Petrochemical Plants.”
    Proceedings of ACM/IEEE IPSN, 2015.