Xianyuan Liu

Academic Fellow In Multimodal AI at The University of Sheffield

Sheffield, England, United Kingdom
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
Xianyuan Liu is an Academic Fellow in Multimodal AI and Assistant Head of AI Research Engineering at the University of Sheffield, with eight years of experience building robust, deployable multimodal ML systems. His research focuses on decision-support models for materials design and drug discovery, bridging signal-processing rigor from his PhD with practical engineering for real-world deployment. He has progressed through roles from visiting researcher to senior AI research engineer and now fellow, reflecting a track record of translating advanced models into usable tools. Based in Sheffield, he contributes to institutional ML engineering efforts (SheffieldML, Shef-AIRE, pykale) and emphasizes data-driven robustness and reproducibility—often tackling noisy, heterogeneous scientific data that typical ML pipelines struggle with.
code8 years of coding experience
job5 years of employment as a software developer
bookDoctor of Philosophy - PhD, Signal and Information Processing, Doctor of Philosophy - PhD, Signal and Information Processing at University of Chinese Academy of Sciences
bookBachelor of Engineering - BE, Measuring Control Technology & Instruments, Bachelor of Engineering - BE, Measuring Control Technology & Instruments at Southeast University
github-logo-circle

Github Skills (50)

pytorch10
python10
data-science10
ecosystem10
meta-learning10
incremental-learning10
machine-learning10
graph-analysis10
multimodal10
datasets10
deep-learning10
medical-image-analysis10
natural-language-processing10
torchvision10
computer-vision10

Programming languages (4)

C++SCSSHTMLPython

Github contributions (5)

github-logo-circle
Contributions:4 PRs, 93 pushes, 1 branch in 1 year 2 months
xianyuanliu/pykale

Nov 2020 - Dec 2023

Knowledge-aware machine learning for medical imaging, graph analysis, and computer vision. KALE stands for Knowledge-Aware LEarning.
Contributions:1 review, 36 PRs, 728 pushes in 3 years 1 month
graph-analysisvisionknowledgedeep-learningcomputer-vision
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Xianyuan Liu - Academic Fellow In Multimodal AI at The University of Sheffield