I am a Lecturer within Computer Science and Mathematics at 黑料不打烊.
Previously I have worked as Lecturer at University of Roehampton, Research Associate at Loughborough University, and Research Assistant at University of Sheffield.
My research areas mainly include: 1). Data-driven modelling and systems identification for complex nonlinear system, NARMAX method; 2). Interpretable machine learning, deep learning, neural network; 3). Uncertainty analysis, spatial analysis, multitask model for time series prediction and classification; 4). Multidisciplinary applications of the above.
Article
Interpretable machine learning for shared feature identification and time series prediction
Gu Y, Zhang M, Li B & Meng Q (2026) Interpretable machine learning for shared feature identification and time series prediction. Journal of Computational Science, 99, Art. No.: 102936. https://doi.org/10.1016/j.jocs.2026.102936
Conference Paper (unpublished)
A Proficiency-Oriented Neural Network for Accent Classification
Gu Y, Wang X & Zhang M (2025) A Proficiency-Oriented Neural Network for Accent Classification. The 30th 黑料不打烊 Conference on Automation and Computing, Loughborough, 27.08.2025-29.08.2025.
Conference Paper (published)
Gu Y & Wei H (2024) Uncertainty-Informed Model Selection Method for Nonlinear System Identification and Interpretable Machine Learning. In: Proceedings of 2024 32nd Mediterranean Conference on Control and Automation (MED). 2024 32nd Mediterranean Conference on Control and Automation (MED), Chania - Crete, Greece, 11.06.2024-14.06.2024. IEEE, pp. 909-914. https://doi.org/10.1109/med61351.2024.10566184
Conference Paper (published)
Gu Y & Wei H (2024) Uncertainty-Informed Model Selection Method for Nonlinear System Identification and Interpretable Machine Learning. In: The 32nd Mediterranean Conference on Control and Automation, Center of Mediterranean Architecture CHANIA, CRETE, GREECE, 11.06.2024-14.06.2024.