Jordan Lin

CS + Math @ UCLA | Researcher @ Zhou Lab | URSP @ UCLA | Prev Research @ Snap

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Hello! My name is Kuan Heng (Jordan) Lin, and I am a fourth-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, multimodal generation, controllable generation, interpretability, image processing, biomedical imaging, and optimization. Particularly, my work revolves around pushing the boundaries and applications of large generative models to allow us to interact with them in a more human way.

I am previously a Research Intern at Snap’s Creative Vision team, where I worked on large-scale video diffusion models (SnapVideo V2) with Willi Menapace, particularly building Snap’s first Model Parallel framework and implementing variable-length multimodal training. I am also part of the Program Development Team at the UCLA Learning Assistant Program, and I am an Advisor and Ex-Co-President of ACM AI @ UCLA.

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

News

Sep 25, 2024 Ctrl-X has just been accepted to NeurIPS 2024! :tada: See y’all at Vancouver :D
Aug 20, 2024 I was selected for the 2024–2025 Undergraduate Research Scholars Program (URSP) at UCLA!
Jun 12, 2024 I just released the paper Ctrl-X: Controlling Structure and Appearance for Text-To-Image Generation Without Guidance, where I am co-first author with the incredible Sicheng Mo :D
Feb 26, 2024 FreeControl has just been accepted to CVPR 2024! :tada:
Dec 13, 2023 I just released 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

Selected Publications

2024

  1. ctrl-x.jpg
    Ctrl-X: Controlling Structure and Appearance for Text-To-Image Generation Without Guidance
    Kuan Heng Lin*Sicheng Mo*Ben KlingherFangzhou Mu, and Bolei Zhou
    In Neural Information Processing Systems (NeurIPS), 2024
  2. freecontrol.jpg
    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