Jie Gui


Research Interests


I have a wide range of research interests, mainly including machine learning (ML), pattern recognition (PR), data mining (DM), artificial intelligence (AI), image processing (IP), and computer vision (CV), among which ML and PR are my core research areas. Currently I am interested in the following ML/PR topics:

  • Generative algorithms such as generative adversarial networks and diffusion model

  • Adversarial attack and defense, Adversarial machine learning

  • Self-supervised learning

  • Hashing

My favorite applications include

My previous research interests or the research areas that I am very familiar with

  • Dimensionality reduction, subspace learning, manifold learning, feature selection, metric learning, and non-negative matrix factorization

  • Sparse learning and low-rank

  • Kernel learning

  • Semi-supervised learning

  • Multi-view learning

  • Classification and clustering

My previous applications or the applications that I am very familiar with

  • Biometric recognition (face recognition and palmprint recognition)

  • Image classification

  • Digit recognition

  • Text classification