Yanjie Song

Yanjie Song


Mr Yanjie Song, PhD Candidate at the University of Leeds (UoL).

He focuses mainly on solving multi-physics coupled equations with Artificial Intelligence methods. Specifically, he is dedicated to the development of attention-based deep learning model under physics-informed frameworks and finding surrogate AI architectures in solving complex coupled problems. His loss-attentional based approaches have attracted widespread interest from the academic and industrial communities.

He also serves as the Editor Assistant for Geomechanics and Geoengineering.

Research interests

  • Physics-Informed Machine Learning.
  • Surrogate Solution Methods for Multi-Physics Coupling Equations.
  • Transformer-based Deep Learning Models.
  • Generative Adversarial Networks, GANs.
  • Graph Neural Networks, GNN.
  • Reinforcement Learning Model.
  • Operator Learning.


  • PhD Candidate, University of Leeds
  • M.Eng., Shandong University
  • B.Eng., Sichuan University