Linfeng Zhao

Linfeng Zhao

CS Ph.D. Student

Northeastern University


I am Linfeng Zhao (赵林风), a second-year CS Ph.D. student at Khoury College of Computer Sciences of Northeastern University, advised by Prof. Lawson L.S. Wong. My research interests include reinforcement learning, artificial intelligence, and robotics.

I am interested in enabling robots on learning abstracted and generalizable knowledge from the world, as well as applying the learned knowledge to simulated and real-world environments. I recently work on learning structured state representations and dynamics models for decision-making and various tasks.

In the undergraduate studies, I spent the defining time at UC San Diego and worked with Prof. Hao Su on reinforcement learning and computer vision. I was a research intern at Microsoft Research Asia on reinforcement learning during my senior year.


  • [2021/06] Started summer internship at Amazon Science on reinforcement learning.
  • [2021/01] One paper (parameterized action reinforcement learning) accepted to WWW 2021.
  • [2020/11] One paper (model-based navigation) accepted to Deep RL workshop at NeurIPS 2020.
  • [2020/09] One paper (bimanual manipulation using imitation learning) accepted to NeurIPS 2020.
  • [2019/09] Joined Northeastern as a CS Ph.D. student in robotics.
  • [2019/02] Started an intership at Microsoft Research Asia.

Recent Publications

Publication List

(2020). Model-based Navigation in Environments with Novel Layouts Using Abstract 2-D Maps. In Deep RL workshop at NeurIPS 2020.

PDF Poster Slides Video

(2020). Deep Imitation Learning for Bimanual Robotic Manipulation. In NeurIPS 2020.

PDF Poster NeurIPS Page

(2020). Match Plan Generation in Web Search with Parameterized Action Reinforcement Learning. In WWW 2021.


(2019). InterFact: Towards Interactive Factorization of Actionable Entities. In preparation.