Jordan Lin

CS PhD @ Columbia | Research @ Netflix Eyeline Studios | Prev CS + Math @ UCLA | Prev Research @ Snap

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Hello! My name is Kuan Heng (Jordan) Lin, and I am a first-year PhD student at Columbia University, where I am fortunate to be advised by Aleksander Hołyński and Micah Goldblum. I am interested in understanding and controlling multimodal generative models to allows to interact with them in a more human way.

I graduated from UCLA with a B.S. in Computer Science and minor in Mathematics, during which I had a great time working with Bolei Zhou on controllable image generation.

I was a research intern at Netflix Eyeline Studios, where I worked on controllable video generation with Ning Yu. I was also a research engineering intern at Snap’s Creative Vision team, where I worked on 2D parallelism for scaling up video diffusion model training (Snap Video V2) with Willi Menapace.

I am also passionate about CS and ML education: I was part of the Program Development Team at the UCLA Learning Assistant Program, and I was an Advisor and Ex-President of ACM AI @ UCLA.

I do :camera: photography and :movie_camera: filmmaking.

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

News

Sep 2, 2025 I just started my Computer Science PhD at Columbia University! Very excited to be working on cool problems with Aleksander Hołyński and Micah Goldblum :D
Jun 13, 2025 I recently graduated Summa Cum Laude from UCLA with my B.S. in Computer Science and minor in Mathematics :)
Mar 31, 2025 I just joined Eyeline Studios (Scanline VFX) at Netflix as a research intern with Ning Yu! Excited to work on controlling video generation models :D
Jan 7, 2025 I was selected as a finalist for the 2024–25 CRA Outstanding Undergraduate Researcher Award :D I want to thank UCLA CS for nominating me, and Sicheng Mo and Prof. Bolei Zhou for all the invaluable mentorship along the way!
Sep 25, 2024 Ctrl-X has just been accepted to NeurIPS 2024! :tada: See y’all at Vancouver :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