Haiping Lu
Scholar

Haiping Lu

Google Scholar ID: CArrsDMAAAAJ
Professor of Machine Learning, University of Sheffield
Machine learningMultimodal AIAI4HealthAI4ScienceOpen-source software
Citations & Impact
All-time
Citations
2,526
 
H-index
24
 
i10-index
49
 
Publications
20
 
Co-authors
123
list available
Resume (English only)
Academic Achievements
  • Associate Editor of IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Cognitive and Developmental Systems
  • Recipient of the Turing Network Development Award
  • Recipient of an Amazon Research Award
  • Joint recipient of the Wellcome Trust Innovator Award and NIHR AI in Health and Care Award
  • Led high-impact research projects including: inverse protein folding via denoising diffusion, multimodal VAE for low-cost cardiac assessment, line graph transformer for molecular property prediction, bilinear attention network for drug–target interaction prediction, etc.
  • Developed and maintains the open-source multimodal learning library PyKale
Background
  • Professor of Machine Learning and Head of AI Research Engineering at the University of Sheffield, UK
  • Director of the UK Open Multimodal AI Network (UKOMAIN), funded by EPSRC
  • Research focuses on deployment-centric multimodal AI technologies for healthcare and scientific discovery
  • Research areas include: Multimodal AI (foundation models, generative AI, domain adaptation, transfer learning), Healthcare (brain/cardiac imaging, cancer diagnosis/treatment), Scientific Discovery (protein engineering, drug/materials discovery)
  • Leads the development of the open-source machine learning library PyKale, part of the PyTorch ecosystem, enabling interdisciplinary research