Haohong Lin

Haohong Lin

First-year PhD

Carnegie Mellon University


I am a first year PhD student of SafeAI Lab at Carnegie Mellon University, advised by Professor Ding Zhao. 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.


  • 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 Publications

Quickly discover relevant content by filtering publications.
(2022). Rethinking Controllable Variational Autoencoders. CVPR 2022.

PDF Code

(2022). Semantically Adversarial Driving Scenario Generation with Explicit Knowledge Integration.


(2020). Controllable and Diverse Text Generation in E-commerce. WWW 2021.



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