Haohong Lin

Haohong Lin

First-year PhD

Carnegie Mellon University

Biography

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.

Interests

  • Knowledge-guided Deep Generative Models
  • Generalizable Reinforcement Learning

Education

  • 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

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(2022). Rethinking Controllable Variational Autoencoders. CVPR 2022.

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

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

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Contact

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