Dr Shuo Zhou
School of Computer Science
Lecturer in Machine Learning
Deputy Head of AI Research Engineering
Member of the Machine Learning research group
  
  
    
         shuo.zhou@sheffield.ac.uk
    
          
          
        
      
    
  
  
      Regent Court (DCS)
  
Full contact details
        Dr Shuo Zhou
School of Computer Science
Regent Court (DCS)
211 Portobello
Sheffield
S1 4DP
          
      
  
School of Computer Science
Regent Court (DCS)
211 Portobello
Sheffield
S1 4DP
- Profile
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Shuo Zhou is a Lecturer in Machine Learning at the University of Sheffield in the Machine Learning group, School of Computer Science. His work is now focused on developing interpretable machine learning methods and tools for analysing medical images / neuroimaging data.
Shuo Zhou completed his MSc in Advanced Computer Science (2017) and PhD (2022) in machine learning at the University of Sheffield. He is also a core developer of open-source library PyKale ().
 
- Research interests
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- Interpretable Machine Learning
 - Medical Image Analysis
 - Statistical Learning Theory
 
 
- Publications
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Journal articles
- . Gigascience, 14.
 - . Methods, 242, 97-112.
 - . Medical Image Computing and Computer Assisted Intervention – MICCAI 2023: 26th International Conference, Vancouver, October 8-12, 2023, Proceedings, 14226.
 - . IEEE Transactions on Circuits and Systems for Video Technology, 33(12), 7774-7788.
 - . IEEE Transactions on Medical Imaging, 42(1), 55-65.
 - . European Heart Journal - Digital Health, 3(2), 265-275.
 - . Signal Processing, 196.
 - . European Heart Journal - Cardiovascular Imaging, 22(2), 236-245.
 - . Medical Image Analysis, 70.
 - , 256-264.
 - Domain Independent SVM for Transfer Learning in Brain Decoding.
 - . Nature Machine Intelligence.
 
Book chapters
- , Lecture Notes in Computer Science (pp. 238-248). Springer Nature Switzerland
 - , Lecture Notes in Computer Science (pp. 296-306). Springer Nature Switzerland
 - , Lecture Notes in Computer Science (pp. 265-273). Springer International Publishing
 
Conference proceedings
- Leveraging artificial intelligence for predicting placebo vs treatment response in painful diabetic neuropathy. DIABETOLOGIA, Vol. 67 (pp S444-S444)
 - . 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.
 - . Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI 2021) (pp 985-988). Virtual conference, 13 April 2021 - 13 April 2021.
 - . Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 34(4) (pp 6957-6964). New York, USA, 7 February 2020 - 7 February 2020.
 
Preprints
- Enhancing Speech Emotion Recognition via Fine-Tuning Pre-Trained Models and Hyper-Parameter Optimisation.
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- Grants
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- , EPRSC, 10/2023 - 03/2025, £445,540, as Co-PI
 - Towards Turing 2.0, RCUK, 07/2022 - 01/2023, £2,000, as PI.