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 knowledge-guided generation 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.


  • Knowledge-guided Deep Generative Models
  • Generalizable Reinforcement Learning


  • 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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