Hongkai Zheng

I'm a Ph.D. student in Computing and Mathematical Science at Caltech. My research interest includes generative models, inverse problems, operator learning, etc. I'm currently focusing on diffusion model for inverse problems.

Academic service (Reviewer):

- Journal of Machine Learning Research (JMLR)

- Transactions on Machine Learning Research (TMLR)

- Conference on Neural Information Processing Systems (NeurIPS)

- International Conference on Machine Learning (ICML)

- International Conference on Learning Representations (ICLR)

Publications

- Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse Problems, preprint 2024

- Fast Training of Diffusion Models with Masked Transformers, TMLR 2024

- Fast Sampling of Diffusion Models via Operator Learning, ICML 2023

- Langevin monte carlo for contextual bandits, ICML 2022

- Physics-informed neural operator for learning partial differential equations, 2021

- Implicit competitive regularization in GANs, ICML 2020

Awards & Honors

- 2024: PIMCO Fellowship