Publications

My papers in reverse chronological order.

2025

  1. ICML
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    Context Tuning for In-Context Optimization
    Jack Lu, Ryan Teehan, Zhenbang Yang, and Mengye Ren
    ICML Test-Time Adaptation Workshop , Jul 2025
    PDF Video Website

2024

  1. ECCV
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    ProCreate, Don’t Reproduce! Propulsive Energy Diffusion for Creative Generation
    Jack Lu, Ryan Teehan, and Mengye Ren
    European Conference on Computer Vision (ECCV) , Oct 2024
    PDF Video Website
  2. ICRA
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    SceneControl: Diffusion for Controllable Traffic Scene Generation
    Jack Lu* , Kelvin Wong*, Chris Zhang, Simon Suo, and Raquel Urtasun
    IEEE International Conference on Robotics and Automation (ICRA) , May 2024
    PDF Video Website

2021

  1. Frontiers
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    Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression From Chest CT Images
    Alexander Wong, Jack Lu, Adam Dorfman, Paul McInnis, Mahmoud Famouri, Daniel Manary, James Ren Hou Lee, and Michael Lynch
    Frontiers in Artificial Intelligence , Nov 2021
    PDF Website