Haohong Lin

Haohong Lin

PhD Candidate

Carnegie Mellon University

Biography

I am a fourth-year PhD student of SafeAI Lab at Carnegie Mellon University, and a Master in Machine Learning at School of Computer Science, advised by Professor Ding Zhao. I also work closely with Professor Bo Li and Huan Zhang from UIUC. My current research interest lies at the intersection of causal representation learning for generalizable embodied agents. Prior to CMU, I receive my B.S. Degree with highest honor in Automation (Robotics Track) from Zhejiang University in 2021. I also spent wonderful time collaborating with Huajie Shao, who is working at William and Mary as tenure-track assistant professor.

Education

  • PhD at SafeAI Lab, 2021-

    College of Engineering, CMU

  • MS in Machine Learning, 2021-2024

    School of Computer Science, CMU

  • BS in Automation (Robotics), 2017-2021

    Department of Control Science and Engineering, ZJU

Recent News

All news»

[03/2025] I have been awarded the William and Alice McGaw Graduate Fellowship at CMU!

[02/2025] One paper about causal reasoning and diffusion-based scenario generation is accepted by CVPR 2025!

[10/2024] Safebench for road safety improvement covered by CMU College of Engineering News!

[09/2024] Two papers: BECAUSE and OASIS accepted by NeurIPS 2024, huge thanks to all my coauthors and congratulations to Yihang!

[05/2024] Starting my summer intern at AI research team of Cruise LLC!

Recent Publications

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Causal Composition Diffusion Model for Closed-loop Traffic Simulation

CVPR 2025
Causal Composition Diffusion Model for Closed-loop Traffic Simulation

OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning

NeurIPS 2024
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning

Contact

  • 5000 Forbes Avenue, Pittsburgh, PA 15123
  • Hamerschleg Hall, Carnegie Mellon University
  • My LinkedIn