Scholar
Jack Lu
Google Scholar ID: iN5SFdsAAAAJ
New York University
Citations & Impact
Citations
59
H-index
3
i10-index
2
Publications
6
Co-authors
1
list available
Publications
Resume (English only)
Academic Achievements
- Publications:
- - Context Tuning for In-Context Optimization, ICML 2025 Test-Time Adaptation Workshop
- - ProCreate, Don’t Reproduce! Propulsive Energy Diffusion for Creative Generation, ECCV 2024
- - SceneControl: Diffusion for Controllable Traffic Scene Generation, ICRA 2024
- - Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression From Chest CT Images, Frontiers in Artificial Intelligence, 2021
- Awards: NSERC PGS-D Scholarship to support his PhD at NYU.
Research Experience
- Worked on autonomous driving and ML for health at NVIDIA, Waabi/Uber-ATG, IBM, and DarwinAI.
Education
- Ph.D.: New York University Courant, Computer Science, Advisor: Mengye Ren; B.S.: University of Waterloo, Computer Science and Mathematics.
Background
- Research Interests: LLM Reasoning, Adaptive Models and Agents. Currently a third-year Computer Science Ph.D. student at CILVR lab, NYU Courant, advised by Mengye Ren, and collaborating with Greg Durrett and Seunghoon Hong.
Miscellany
- Happy to discuss collaboration, mentorship, and research in general. You can email him for a virtual or in-person chat.
