Haohong Lin

Haohong Lin

Third-year PhD

Carnegie Mellon University

Biography

I am a third-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. My current research interest lies at the intersection of causal representation learning and generalizable reinforcement learning, which can potentially be applied on robots and other autonomous systems. 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 joined William and Mary as tenure-track assistant professor.

Interests

  • Causal reasoning for Generalizable Reinforcement Learning
  • Safety-critical Scenario Generation for Autonomous Vehicles
  • Learning from Imperfect Demonstration

Education

  • Ph.D., SafeAI Lab, 2021-

    College of Engineering, Carnegie Mellon University

  • M.S., Machine Learning, 2021-

    School of Computer Science, Carnegie Mellon University

  • B.S. in Robotics (Honorable Degree), 2017-2021

    Department of Control Science and Engineering, Zhejiang University

Recent News

All news»

[02/2024] One paper about causal representation for safe autonomous driving accepted by RA-L, expected to present in IROS 2024!

[01/2024] One paper about hierarchical RL for generalizable robotic assembly accepted by ICRA 2024!

[05/2023] Starting summer research intern at optimization and robotics team of MERL!

[09/2022] I’ve passed my qualification and become a PhD candidate. I’m so grateful for everyone’s help from SafeAI Lab!

Contact

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