Welcome!

I’m a postdoctoral researcher at the Computer Vision Laboratory, Linköping University, Sweden, where I earned my PhD in Electrical Engineering with a specialization in Computer Vision (focusing on Geometric Deep Learning), supervised by Michael Felsberg and funded by WASP. You can find more details in my CV. My research interests include geometry, equivariant neural networks, AI for Science, and AI for Good.

Interests
  • Geometric Deep Learning
  • 3D Vision
  • AI for Science
  • AI for Good
Education
  • PhD Computer Vision

    Linköping University, Sweden

  • MEng Computer Science and Technology

    Hunan University, China

  • BEng Information Security Systems

    DonNTU, Ukraine

News

My PhD Defense

On this day, I defended my PhD thesis on “Spherical Neur$\text{O}(n)$s for Geometric Deep Learning”.

Featured Publications

Embed Me If You Can: A Geometric Perceptron

Publications
(2024). O$n$ Learning Deep O$(n)$ Equivariant Hyperspheres. ICML 2024.
(2024). TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis. CVPR 2024.
(2022). Steerable 3D Spherical Neurons. ICML 2022.
(2021). Embed Me If You Can: A Geometric Perceptron. ICCV 2021.