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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Haohong Lin*, Huajie Shao*, Yifei Yang*, Longzhong Lin, Yizhuo Chen, Qinmin Yang, Han Zhao (2022). Rethinking Controllable Variational Autoencoders. CVPR 2022.

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Wenhao Ding, Haohong Lin, Bo Li, Kim Ji Eun, Ding Zhao (2022). Semantically Adversarial Driving Scenario Generation with Explicit Knowledge Integration.

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Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao (2021). CausalAF: Causal Autoregressive Flow for Goal-Directed Safety-Critical Scenes Generation.

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Huajie Shao, Jun Wang, Haohong Lin, Xuezhou Zhang, Aston Zhang, Heng Ji, Tarek Abdelzaher (2020). Controllable and Diverse Text Generation in E-commerce. WWW 2021.

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