| 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 |
| 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! :) |
| Jan 16, 2024 | Our paper Interpretable Diffusion via Information Decomposition has been accepted as a poster at ICLR 2024! It’s a great experience to collaborate with Oliver and Dani! |
| Nov 17, 2023 | I attend SoCalNLP 2023 to present Information-Theoretic Diffusion model and its applications: Interpretable Diffusion via Information Decomposition ! |
| Jan 20, 2023 | Our paper Information-Theoretic Diffusion has been accepted as a poster at ICLR 2023! It means a lot to me because it’s my first paper appears on the top-tier ML conference. Big thanks to Greg and Rob! |