About me

I am a third-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 Bytedance during 2024 summer and, prior to that, a research intern at NEC Laboratories during 2023 summer. For more details, see my cv.

News

Publications

Symmetry-Informed Governing Equation Discovery

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

NeurIPS, 2024

Paper | Code | BibTeX

Latent Space Symmetry Discovery

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

International Conference on Machine Learning (ICML), 2023

Paper | Workshop Paper | Code | BibTeX

Generative Adversarial Symmetry Discovery

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

International Conference on Machine Learning (ICML), 2023

Paper | Code | BibTeX

Experiences

Bytedance | San Jose, CA

  • (06/2024 - 09/2024) Research Intern
    • Latent diffusion model for protein dynamics generation

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

Talks

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