Shuo Zhou

I am a lecturer in machine learning at the Machine Learning Research Group, School of Computer Science, and deputy head of AI research engineering at Centre for Machine Intelligence, University of Sheffield.

My current research focuses on developing interpretable machine learning methods and tools for healthcare. I am a co-creator and core developer of open-source library PyKale, which provides a range of accessible multimodal and transfer learning algorithms.

I serve as a reviewer for the IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Cognitive and Developmental Systems (TCDS), IEEE Transactions on Neural Systems & Rehabilitation Engineering (TNSRE), and Cerebral Cortex. Additionally, I served as a PC member for the International Joint Conference on Artificial Intelligence (IJCAI) in 2022, 2023, and 2024, as well as for the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2024. I am also an organiser of the Meta-Learning for Multimodal Data Turing interest group and a recipient of the Post-Doctoral Enrichment Awards (PDEA) 2022 programme from the Alan Turing Institute.

selected publications

IEEE TMI

Improving Multi-Site Autism Classification via Site-Dependence Minimization and Second-Order Functional Connectivity

Mwiza Kunda, Shuo Zhou, Gaolang Gong, and 1 more author

IEEE Transactions on Medical Imaging, 2022

DOI Bib HTML Code

@article{kunda2022improving,
  title = {Improving Multi-Site Autism Classification via Site-Dependence Minimization and Second-Order Functional Connectivity},
  author = {Kunda, Mwiza and Zhou, Shuo and Gong, Gaolang and Lu, Haiping},
  journal = {IEEE Transactions on Medical Imaging},
  doi = {10.1109/TMI.2022.3203899},
  year = {2022},
  publisher = {IEEE},
  url = {https://ieeexplore.ieee.org/document/9874890},
}

CIKM

PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python

Haiping Lu, Xianyuan Liu, Shuo Zhou, and 6 more authors

In Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM), 2022

DOI Bib HTML Code

@inproceedings{pykale-cikm2022,
  title = {{PyKale}: Knowledge-Aware Machine Learning from Multiple Sources in {Python}},
  author = {Lu, Haiping and Liu, Xianyuan and Zhou, Shuo and Turner, Robert and Bai, Peizhen and Koot, Raivo and Chasmai, Mustafa and Schobs, Lawrence and Xu, Hao},
  booktitle = {Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM)},
  doi = {10.1145/3511808.3557676},
  year = {2022},
}

PhD Thesis

Interpretable Domain-Aware Learning for Neuroimage Classification

Shuo Zhou

University of Sheffield, 2022

Bib HTML

@phdthesis{zhou2022interpretable,
  title = {Interpretable Domain-Aware Learning for Neuroimage Classification},
  author = {Zhou, Shuo},
  year = {2022},
  school = {University of Sheffield},
  url = {https://etheses.whiterose.ac.uk/31044/},
}

AAAI

Side information dependence as a regularizer for analyzing human brain conditions across cognitive experiments

Shuo Zhou, Wenwen Li, Christopher Cox, and 1 more author

In Proceedings of the AAAI Conference on Artificial Intelligence, 2020

Bib HTML Code

@inproceedings{zhou2020side,
  title = {Side information dependence as a regularizer for analyzing human brain conditions across cognitive experiments},
  author = {Zhou, Shuo and Li, Wenwen and Cox, Christopher and Lu, Haiping},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
  volume = {34},
  number = {04},
  pages = {6957--6964},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6179},
}