Haohong Lin

Haohong Lin

Second-year PhD

Carnegie Mellon University


I am a second year PhD student of SafeAI Lab at Carnegie Mellon University, 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 spent wonderful time collaborating with Huajie Shao, who joined William and Mary as tenure-track assistant professor.


  • Causal Representation Learning
  • Generalizable Reinforcement Learning
  • Robotics


  • Ph.D., SafeAI Lab, 2021-

    Carnegie Mellon University

  • B.Eng. in Robotics Track @ CSE, CKC Honors College, 2017-2021

    Zhejiang University

  • Science Course of High School, 2014-2017

    Fuzhou No.1 High School

Recent News

All news»

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

[09/2022] One paper about causality and generalizeble RL accepted by NeurIPS 2022, congratulations to Wenhao!

[09/2022] One paper about causality and generative model accepted by CoRL 2022, congratulations to Wenhao!

[03/2022] One paper about controllable generative model accepted by CVPR 2022, congratulations to Huajie!

Recent Publications

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Rethinking Controllable Variational Autoencoders

CVPR 2022
Rethinking Controllable Variational Autoencoders

Controllable and Diverse Text Generation in E-commerce

WWW 2021
Controllable and Diverse Text Generation in E-commerce


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