Xianghao Kong
Hello/你好👋
I’m the last-year CS Ph.D. working with AMAZING ✨ Prof. Greg Ver Steeg ✨ at the University of California, Riverside.
My research interest focuses on Generative AI and Explainable ML. Specifically, we developed a brand-new diffusion model from the information theory perspective, i.e., Information-Theoretic Diffusion (ITD). Before joining UCR, my focus was on EEG data analysis within Brain-Computer Interface (BCI) 🧠 technology, merging neuroscience with computer science.
We are contributing more into the ITD universe 🌌! I am actively looking for collaborators, please feel free to contact me if you are also interested in information + diffusion!
I’m a foodie living at SoCal and love sketching 🎨🖌 and visiting museums 🏛️. You can find some pieces of my work if you are interested in.
💼 I’m currently on the job market for industry roles (Machine Learning Research Scientist about Diffusion Models).
news
| Nov 11, 2024 | New paper alter 🚨, we wrapped Diffusion Bridges up! A good collaboration with Shaorong: Exploring the Design Space of Diffusion Bridge Models via Stochasticity Control |
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| Oct 02, 2024 | I have been invited to the Advancing AI 2024 event by AMD on October 10th ✈️. If you’ll be in San Francisco, I’d love to grab a coffee ☕️ or explore some great food together! |
| Sep 25, 2024 | Time has flown by! This summer at Adobe, I had the pleasure of meeting so many wonderful people, and I will miss you all. However, my journey with Adobe isn’t over yet. I’m excited to continue working with Adobe Firefly to push the boundaries of diffusion models. |
| Jul 27, 2024 | 🔥💸 Training Diffusion Models within $2000 (8xH100) in only 3 days! Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget. Thanks to my mentor, Vikash, at SonyAI. |
| Mar 29, 2024 | I finished my internship about accelerating Stable Diffusion training at SonyAI, and am going to join Adobe Firefly this summer! :) |
selected publications
- Preprint
- ACL