Dr Shuo Zhou

简介

Shuo Zhou is a Lecturer in Machine Learning at the School of Computer Science, University of Sheffield, and a member of the Machine Learning research group. He received his PhD in computer science (machine learning) from the same institution and previously worked as a Research Software Engineer, Research Assistant, and later as an Academic Fellow in Machine Learning. He is also one of the organisers of the Meta-Learning for Multimodal Data Interest Group at the Alan Turing Institute.His work focuses on robustness, interpretability, and automation in machine learning, with applications in biomedical data analysis, particularly in neuroimaging and protein modelling. He also develops open-source software to support reproducible and scalable research, and co-founded the open-source library PyK

代表成果

• Tripathi PC, Tabakhi S, Suvon MNI, Schöb L, Alabed S, Swift AJ, Zhou S & Lu H (2026) Interpretable Multimodal Learning for Cardiovascular Hemodynamics Assessment. IEEE Transactions on Medical Imaging, 1-1.
• Zhou S, Luo J, Jiang Y, Wang H, Lu H & Gong G (2025) Group-specific discriminant analysis enhances detection of sex differences in brain functional network lateralization. Gigascience, 14. View this article in WRRO
• Liu X, Rastegari S, Huang Y, Cheong SC, Liu W, Zhao W, Tian Q, Wang H, Guo Y, Zhou S , Tabakhi S et al (2025) Interpretable multimodal learning for tumor protein-metal binding: Progress, challenges, and perspectives. Methods, 242, 97-112.
• Tripathi P, Suvon M, Schobs L, Zhou S, Alabed S, Swift A & Lu H (2023) Tensor-based multimodal learning for prediction of pulmonary arterial wedge pressure from cardiac MRI. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023: 26th International Conference, Vancouver, October 8-12, 2023, Proceedings, 14226. View this article in WRRO
• Liu X, Zhou S, Lei T, Jiang P, Chen Z & Lu H (2023) First-person video domain adaptation with multi-scene cross-site datasets and attention-based methods. IEEE Transactions on Circuits and Systems for Video Technology, 33(12), 7774-7788. View this article in WRRO
• Kunda M, Zhou S, Gong G & Lu H (2022) Improving multi-site autism classification via site-dependence minimization and second-order functional connectivity. IEEE Transactions on Medical Imaging, 42(1), 55-65. View this article in WRRO
• Alabed S, Uthoff J, Zhou S, Garg P, Dwivedi K, Alandejani F, Gosling R, Schobs L, Brook M, Capener D , Johns C et al (2022) Machine learning cardiac-MRI features predict mortality in newly diagnosed pulmonary arterial hypertension. European Heart Journal - Digital Health, 3(2), 265-275. View this article in WRRO
• Song L, Zhou S & Lu H (2022) Direct ICA on data tensor via random matrix modeling. Signal Processing, 196. View this article in WRRO
• Swift AJ, Lu H, Uthoff J, Garg P, Cogliano M, Taylor J, Metherall P, Zhou S, Johns CS, Alabed S , Condliffe RA et al (2021) A machine learning cardiac magnetic resonance approach to extract disease features and automate pulmonary arterial hypertension diagnosis. European Heart Journal - Cardiovascular Imaging, 22(2), 236-245. View this article in WRRO
• Schirmer MD, Venkataraman A, Rekik I, Kim M, Mostofsky SH, Nebel MB, Rosch K, Seymour K, Crocetti D, Irzan H , Hütel M et al (2021) Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroImaging transfer learning challenge. Medical Image Analysis, 70. View this article in WRRO