About Me

Hello! I'm Calvin Luo, a PhD Student at Brown University, where I am advised by the wonderful Chen Sun. Before that, I was an AI Resident at Google in Mountain View, where I worked on representation learning, model-based reinforcement learning, generalization, and adversarial robustness. Welcome to my little corner of the web!

Currently I am visiting the Robotics and Embodied AI Lab at Stanford University for the final year of my PhD, hosted by Shuran Song - thank you Shuran!

Music

I'm currently listening to The Background by Third Eye Blind

News!

  • (06/25) I received the Research Mobility Fellowship to visit Stanford via IvyPlus - thank you Brown!
  • (01/25) One paper accepted to ICLR 2025 - see you all in Singapore!
  • (09/24) One paper accepted to NeurIPS 2024 - see you all in Vancouver!
  • (09/24) I am delighted to serve as co-instructor of CSCI2470: Deep Learning for Fall'24.

Selected Work

Self-Adapting Improvement Loops for Robotic Learning
Under Review
Calvin Luo*, Zilai Zeng*, Mingxi Jia, Yilun Du, Chen Sun
[arXiv] | [Project] | [Code (Coming Soon!)]
Solving New Tasks by Adapting Internet Video Knowledge
ICLR 2025 (Singapore)
Calvin Luo*, Zilai Zeng*, Yilun Du, Chen Sun
[arXiv] | [Project] | [Code]
Text-Aware Diffusion for Policy Learning
NeurIPS 2024 (Vancouver, Canada)
Calvin Luo, Mandy He*, Zilai Zeng*, Chen Sun
[arXiv] | [Project] | [Code]
Self-Correcting Self-Consuming Loops for Generative Model Training
ICML 2024 (Vienna, Austria)
Nate Gillman, Michael Freeman, Daksh Aggarwal, Chia-Hong Hsu, Calvin Luo, Yonglong Tian, Chen Sun
[arXiv] | [Project] | [Code]
Does Visual Pretraining Help End-to-End Reasoning?
NeurIPS 2023 (New Orleans, Louisiana)
Chen Sun, Calvin Luo, Xingyi Zhou, Anurag Arnab, Cordelia Schmid
[arXiv]
Intriguing Properties of Contrastive Losses
NeurIPS 2021 (Virtual)
Ting Chen, Calvin Luo, Lala Li
[arXiv] | [Project] | [Code]