Xianyuan Liu

Senior AI Research Engineer, @The University of Sheffield.

prof_pic.jpg

I currently serve as a Senior AI Research Engineer at the Department 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

  1. 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
  2. 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
  3. 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