Xianyuan Liu

I currently serve as a Senior AI Research Engineer at the School of Computer Science, and as the Assistant Head of AI Research Engineering at the Centre for Machine Intelligence, both at the University of Sheffield.

My current research focuses on developing machine learning methods and tools for materials science and multimodal learning. I take pride in co-founding and being the principal developer of PyKale, an open-source library that delivers a diverse range of easily accessible multi-modal and transfer learning algorithms.

I received my Ph.D. degree in Signal and Information Processing from the University of Chinese Academy of Sciences in 2023. My academic journey began with a B.Eng. degree in Measuring Control Technology and Instruments from Southeast University in 2016. Additionally, I was a visiting researcher at the Department of Computer Science, University of Sheffield from 2019 to 2021.

Selected Publications

IEEE TCSVT

First-person video domain adaptation with multi-scene cross-site datasets and attention-based methods

Xianyuan Liu, Shuo Zhou, Tao Lei, and 3 more authors

IEEE Transactions on Circuits and Systems for Video Technology, 2023

Bib HTML Code

@article{liu2023first,
  title = {First-person video domain adaptation with multi-scene cross-site datasets and attention-based methods},
  author = {Liu, Xianyuan and Zhou, Shuo and Lei, Tao and Jiang, Ping and Chen, Zhixiang and Lu, Haiping},
  journal = {IEEE Transactions on Circuits and Systems for Video Technology},
  volume = {33},
  number = {12},
  pages = {7774-7788},
  year = {2023},
  publisher = {IEEE},
  doi = {10.1109/TCSVT.2023.3281671},
}

IEEE TGRS

Single-frame infrared small target detection by high local variance, low-rank and sparse decomposition

Yujia Liu, Xianyuan Liu, Xuying Hao, and 3 more authors

IEEE Transactions on Geoscience and Remote Sensing, 2023

Bib HTML

@article{liu2023single,
  title = {Single-frame infrared small target detection by high local variance, low-rank and sparse decomposition},
  author = {Liu, Yujia and Liu, Xianyuan and Hao, Xuying and Tang, Wei and Zhang, Sanxing and Lei, Tao},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  volume = {61},
  number = {},
  pages = {1-17},
  year = {2023},
  publisher = {IEEE},
  doi = {10.1109/TGRS.2023.3291435},
}

CIKM

PyKale: Knowledge-aware machine learning from multiple sources in Python

Haiping Lu, Xianyuan Liu, Robert Turner, and 5 more authors

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

Bib HTML Code

@inproceedings{lu2021pykale,
  title = {PyKale: Knowledge-aware machine learning from multiple sources in Python},
  author = {Lu, Haiping and Liu, Xianyuan and Turner, Robert and Bai, Peizhen and Koot, Raivo E and Zhou, Shuo and Chasmai, Mustafa and Schobs, Lawrence},
  booktitle = {Proceedings of the 31st ACM International Conference on Information and Knowledge Management},
  year = {2022},
  doi = {10.1145/3511808.3557676},
}