Publications

Jul 8, 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.

  • Weijiao Mou, Cheng Yang, Waiping Shan, Chenzhen Du, Zhiqiang Huo, Haotian Gu, David G. Armstrong, Dongfeng Tang, Yanzhong Wang, Wuquan Deng. “An Interpretable Machine Learning Model for Predicting Recurrence Risk in Patients with Diabetic Foot Ulcers: A Multicenter Cohort Study” BMJ Open Diabetes & Research Care, SUBMITTED, April 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, 26(4), 37443, 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), 8, 108 (2025). https://doi.org/10.1038/s41746-025-01465-w

  • 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.