About me

I am a second-year PhD student at UC San Diego Department of CSE, advised by Prof. Rose Yu. My current research interest lies in generative AI, physics-guided deep learning, and geometric deep learning. I am particularly excited about machine learning methods for scientific discovery, such as symmetry discovery and governing equation discovery. I was a research intern at NEC Laboratories during 2023 summer, focusing on physics-informed human motion generation. For more details, see my cv.

News

Experiences

NEC Laboratories | Princeton, NJ

  • (06/2023 - 09/2023) Research Intern
    • Diffusion model for 3D human motion generation
    • Incorporate physics simulator into training to perform physically valid generation

USC Melady Lab | Los Angeles, CA

  • (06/2021 - 09/2021) Research Assistant
    • Federated learning under distribution shift

Publications

Latent Space Symmetry Discovery

Jianke Yang, Nima Dehmamy, Robin Walters, and Rose Yu.

International Conference on Machine Learning (ICML), 2023

Paper | Workshop Paper | BibTeX

Generative Adversarial Symmetry Discovery

Jianke Yang, Robin Walters, Nima Dehmamy, Rose Yu.

International Conference on Machine Learning (ICML), 2023

Paper | Code | BibTeX

Talks

  • Generative Adversarial Symmetry Discovery , UMich SciML Webinar
    Video  |  Slides
  • Equivariant Neural Networks and Symmetry Discovery , UCSD Physics 239 Guest Lecture
    Slides