Dr Shuo Zhou

School of Computer Science

Lecturer in Machine Learning

Deputy Head of AI Research Engineering

Member of the Machine Learning research group

Shou Zhou headshot
Profile picture of Shou Zhou headshot
shuo.zhou@sheffield.ac.uk
Regent Court (CS)

Full contact details

Dr Shuo Zhou
School of Computer Science
Regent Court (CS)
211 Portobello
Sheffield
S1 4DP
Profile

Please replace my current profile with the following text: 

Shuo Zhou is a Lecturer in Machine Learning at the School of Computer Science, ±¬ÁÏTV, 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 .

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 , a multimodal AI library in the PyTorch ecosystem, developed and maintained in academia.

Research interests
  • Interpretable Machine Learning
  • Medical Image Analysis
  • Statistical Learning Theory
Publications

Journal articles

  • Tripathi PC, Tabakhi S, Suvon MNI, Schöb L, Alabed S, Swift AJ, Zhou S & Lu H (2026) . IEEE Transactions on Medical Imaging, 1-1.
  • Zhou S, Luo J, Jiang Y, Wang H, Lu H & Gong G (2025) . Gigascience, 14.
  • 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) . Methods, 242, 97-112.
  • Tripathi P, Suvon M, Schobs L, Zhou S, Alabed S, Swift A & Lu H (2023) . Medical Image Computing and Computer Assisted Intervention – MICCAI 2023: 26th International Conference, Vancouver, October 8-12, 2023, Proceedings, 14226.
  • Liu X, Zhou S, Lei T, Jiang P, Chen Z & Lu H (2023) . IEEE Transactions on Circuits and Systems for Video Technology, 33(12), 7774-7788.
  • Kunda M, Zhou S, Gong G & Lu H (2022) . IEEE Transactions on Medical Imaging, 42(1), 55-65.
  • 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) . European Heart Journal - Digital Health, 3(2), 265-275.
  • Song L, Zhou S & Lu H (2022) . Signal Processing, 196.
  • 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) . European Heart Journal - Cardiovascular Imaging, 22(2), 236-245.
  • 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) . Medical Image Analysis, 70.
  • Li W, Lou J, Zhou S & Lu H (2019) , 256-264.
  • Zhou S, Li W, Cox CR & Lu H (2019) Domain Independent SVM for Transfer Learning in Brain Decoding.
  • Liu X, Zhang J, Zhou S, van der Plas TL, Vijayaraghavan A, Grishina A, Zhuang M, Schofield D, Tomlinson C, Wang Y , Li R et al () . Nature Machine Intelligence.

Book chapters

  • Fan W, Rizky LMR, Zhang J, Chen C, Lu H, Teh K, Selvarajah D & Zhou S (2026) , Lecture Notes in Computer Science (pp. 238-248). Springer Nature Switzerland
  • Suvon MNI, Tripathi PC, Fan W, Zhou S, Liu X, Alabed S, Osmani V, Swift AJ, Chen C & Lu H (2024) , Lecture Notes in Computer Science (pp. 296-306). Springer Nature Switzerland
  • Zhou S, Cox CR & Lu H (2019) , Lecture Notes in Computer Science (pp. 265-273). Springer International Publishing

Conference proceedings

  • Selvarajah D, Tripathi P, Teh K, Zhou S, Suvon MNI, Tesfaye S, Wild J, Bennett D, Segerdahl A, Steel D , Colvin L et al (2024) Leveraging artificial intelligence for predicting placebo vs treatment response in painful diabetic neuropathy. DIABETOLOGIA, Vol. 67 (pp S444-S444)
  • Lu H, Liu X, Zhou S, Turner R, Bai P, Koot RE, Chasmai M, Schobs L & Xu H (2022) . CIKM '22: Proceedings of the 31st ACM International Conference on Information & Knowledge Management (pp 4274-4278). Atlanta GA USA, 17 October 2022 - 17 October 2022.
  • Schobs L, Zhou S, Cogliano M, Swift AJ & Lu H (2021) . Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI 2021) (pp 985-988). Virtual conference, 13 April 2021 - 13 April 2021.
  • Zhou S, Li W, Cox CR & Lu H (2020) . Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 34(4) (pp 6957-6964). New York, USA, 7 February 2020 - 7 February 2020.

Preprints

  • Golbaghi A & Zhou S (2025) Enhancing Speech Emotion Recognition via Fine-Tuning Pre-Trained Models and Hyper-Parameter Optimisation.
  • Liu X, Zhang J, Zhou S, van der Plas TL, Vijayaraghavan A, Grishina A, Zhuang M, Schofield D, Tomlinson C, Wang Y , Li R et al (2025) , arXiv.
  • Suvon MNI, Zhou S, Tripathi PC, Fan W, Alabed S, Khanal B, Osmani V, Swift AJ, Chen , Chen & Lu H (2025) , arXiv.
  • 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) , arXiv.
  • Fan W, Rizky LMR, Zhang J, Chen C, Lu H, Teh K, Selvarajah D & Zhou S (2025) , arXiv.
  • Zhou S, Luo J, Jiang Y, Wang H, Lu H & Gong G (2024) , arXiv.
  • Suvon MNI, Tripathi PC, Fan W, Zhou S, Liu X, Alabed S, Osmani V, Swift AJ, Chen C & Lu H (2024) , arXiv.
  • Fan W, Suvon MNI, Zhou S, Liu X, Alabed S, Osmani V, Swift AJ, Chen C & Lu H (2024) , arXiv.
  • Tripathi PC, Suvon MNI, Schobs L, Zhou S, Alabed S, Swift AJ & Lu H (2023) , arXiv.
  • Schirmer MD, Venkataraman A, Rekik I, Kim M, Mostofsky SH, Nebel MB, Rosch K, Seymour K, Crocetti D, Irzan H , Hütel M et al (2020) , arXiv.
  • Lu H, Liu X, Turner R, Bai P, Koot RE, Zhou S, Chasmai M & Schobs L () .
Grants
  • , EPRSC, 10/2023 - 03/2025, £445,540, as Co-PI
  • Towards Turing 2.0, RCUK, 07/2022 - 01/2023, £2,000, as PI.

Links

Machine Learning research group