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
- October 2023: Invited talk about symmetry discovery at UMich SciML Webinar!
- September 2023: Latent Space Symmetry Discovery available on arXiv!
- June 2023: Interning at NEC Laboratories Princeton!
- April 2023: LieGAN accepted at ICML 2023!
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.
arXiv preprint, 2023
Generative Adversarial Symmetry Discovery
Jianke Yang, Robin Walters, Nima Dehmamy, Rose Yu.
International Conference on Machine Learning (ICML), 2023