Xianghao Kong

I’m the last-year CS Ph.D. working with AMAZING Prof. ✨ Greg Ver Steeg ✨ at the University of California, Riverside.

My research focuses on Generative Models (Diffusion Models & Energy-Based Models), particularly their interpretability, alignment, and compositionality. Specifically, we interpret diffusion models from a novel information theory perspective, i.e., Information-Theoretic Diffusion (ITD). Our findings show that Pointwise Mutual Information (PMI) enhances compositional understanding and modality alignment (e.g. text and image). We’re continuing to expand the ITD universe 🌌 and are actively seeking collaborators! Feel free to reach out! 🚀

Before joining UCR, my focus was on EEG data analysis within Brain-Computer Interface (BCI) 🧠 technology, merging neuroscience with computer science. I’m a foodie living at SoCal and love sketching 🎨🖌 and visiting museums 🏛️.