Jordan Lin

CS + Math @ UCLA | Student Researcher @ Zhou Lab | URC-Sciences Summer | LA Program PDT | ACM AI

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Hello! My name is Kuan Heng (Jordan) Lin, and I am a third-year Computer Science undergraduate at UCLA with a minor in Mathematics, working with Professor Bolei Zhou on computer vision and generative AI.

My research interests stem from generative AI to topics such as computer vision, interpretability, image processing, biomedical imaging, optimization, and natural language processing. Particularly, my work revolves around pushing the boundaries and applications of large text-to-image (T2I) models like Stable Diffusion with relatively training-free methods.

I am the Co-President of ACM AI @ UCLA (2023–2024), and I am part of the Program Development Team at the UCLA Learning Assistant Program.

My name: 林宽恒 (lín kuān héng), hence my legal name Kuan Heng Lin

News

Feb 26, 2024 FreeControl has just been accepted to CVPR 2024! :tada:
Dec 12, 2023 I just published my first paper FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition at UCLA, working with the amazing Sicheng Mo :D
Sep 6, 2023 After wranging with pure HTML + CSS + JS for a year, I finally gave in and created this website with Jekyll and al-folio :partying_face:
Jun 26, 2023 I am starting the URC-Sciences Summer Program as a full-time student researcher at Zhou Lab, working on extending image diffusion models to video generation and controllable generation!

Selected Publications

2024

  1. freecontrol/teaser_full.png
    FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition
    Sicheng Mo*Fangzhou Mu*Kuan Heng Lin, Yanli Liu, Bochen Guan, Yin Li, and Bolei Zhou
    In Computer Vision and Pattern Recognition (CVPR), 2024

Recent Projects & Blogs