Jack (Yi Ao) Lu

me.jpeg

I am a first-year Ph.D. student in Computer Science at NYU Courant, advised by Prof. Mengye Ren in the CILVR lab. My research is supported by the NSERC PGS-D Scholarship. Prior to joining NYU, I got my Bachelor’s degree in Computer Science and Mathematics at the University of Waterloo. Recently, my work focused on generative modeling, few-shot learning, and AI-assisted design.

I did a mixture of research and software engineering work at NVIDIA, Waabi/Uber-ATG, IBM, DarwinAI, and Deep Trekker. During my undergrad, I was fortunate to have worked with Prof. Raquel Urtasun, Prof. Sanja Fidler, and Prof. Alexander Wong.

You can find my hopefully-up-to-date CV here.

news

Jul 01, 2024 Our work, “ProCreate, Don’t Reproduce! Propulsive Energy Diffusion for Creative Generation”, is accepted by ECCV 2024.
Apr 25, 2024 I have been selected to receive the NSERC PGS-D Scholarship to support my PhD at NYU.
Jan 29, 2024 Our work, SceneControl: Diffusion for Controllable Traffic Scene Generation, is accepted by ICRA 2024.
Sep 01, 2023 I started my PhD in Computer Science at NYU, advised by Mengye Ren.

selected publications

  1. ProCreate, Don’t Reproduce! Propulsive Energy Diffusion for Creative Generation
    Jack LuRyan Teehan, and Mengye Ren
    European Conference on Computer Vision (ECCV) , Oct 2024
  2. SceneControl: Diffusion for Controllable Traffic Scene Generation
    IEEE International Conference on Robotics and Automation (ICRA) , May 2024
  3. Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression From Chest CT Images
    Frontiers in Artificial Intelligence , Nov 2021