Haohong Lin

Haohong Lin

Third-year PhD

Carnegie Mellon University

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