- 'Generating Synthetic Net Load Data with Physics-Informed Diffusion Models' accepted by IEEE Transactions on Smart Grid.
- 'Exploring the Design Space of Diffusion Bridge Models' accepted by NeurIPS 2025.
Other papers include but are not limited to 'Local MAP Sampling for Diffusion Models' and 'Measurement-Aligned Flow for Inverse Problems' under review.
Research Experience
No specific work experience or position information provided.
Education
PhD student in Electrical and Computer Engineering at University of California Riverside since 2024, advised by Greg Ver Steeg; Master's degree in Control Science and Engineering from Xi'an Jiaotong University in 2022; Bachelor's degree in Automation from Xi'an Jiaotong University in 2019.
Background
Research Interests: Fundamental diffusion (bridge) models, discrete diffusion models, diffusion posterior sampling, guidance and alignment.
Miscellany
No personal interests or additional information provided.