Jordan Lin
CS + Math @ UCLA | Research @ Zhou Lab | URSP @ UCLA | Prev Research @ Snap
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/3D generation, controllable generation, generative vision for autonomy, and foundation & world models. 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 2D (Data + Model) Parallel framework and implementing variable-length multimodal training. I am also passionate about CS and ML education: I am part of the Program Development Team at the UCLA Learning Assistant Program, and I am an Advisor and Ex-President of ACM AI @ UCLA.
I also do photography and filmmaking.
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! See y’all at Vancouver :D |
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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! |
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
Recent Projects & Blogs
Apr 23, 2023 | 🤝 people2vec: LA Hacks 2023 3rd Prize Overall |
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Mar 27, 2023 | 🔁 DDIM Inversion and Latent Space Manipulation |
Mar 22, 2023 | 📢 KaoGPT: Studying the Performance of Text Generating Models |