Linfeng Zhao

Linfeng Zhao

CS Ph.D. Student

Northeastern University


I am Linfeng Zhao (赵林风), a CS Ph.D. student at Khoury College of Computer Sciences of Northeastern University. I’m advised by Prof. Lawson L.S. Wong and also working with Prof. Robin Walters. My research interests lie in the intersection of machine learning, robotics and artificial intelligence.

I focus on decision-making side in robotics. To enable mobile-manipulation robots (e.g., Boston Dynamics Spot) to act in novel environments, I use planning (in symbolic and physical level) and learning (world models and RL control policies). A large body of my research involves how geometric/algebraic structure helps improve generalization and scalability, including: (1) symmetric representation learning of state and action, (2) symmetric/object-centric world modeling and planning, etc.

During PhD, I was a research intern at Boston Dynamics AI Institute with Jennifer L. Barry in 2023 Spring-Summer, and a research intern at Amazon Science with Kari Torkkola and Dhruv Madeka in 2021 Summer. During undergraduate, I interned at Microsoft Research Asia and earlier worked with Prof. Hao Su at UC San Diego.



Publication List

(2023). E(2)-Equivariant Graph Planning for Navigation. In RA-L 2024, Present at IROS 2024.

Project arXiv

(2023). Can Euclidean Symmetry Help in Reinforcement Learning and Planning?. In Conference Submission.


(2023). Equivariant Single View Pose Prediction Via Induced and Restriction Representations. In NeurIPS 2023.


(2022). Integrating Symmetry into Differentiable Planning with Steerable Convolutions. In ICLR 2023, RLDM 2022.

PDF Code Poster Slides ICLR page OpenReview arXiv Webpage (Available soon)

(2022). Learning to Navigate in Mazes with Novel Layouts Using Abstract Top-down Maps. Under Conference Review.

Extended version (with Appendix)

(2022). Toward Compositional Generalization in Object‑Oriented World Modeling. In ICML 2022 (Long Presentation, 2.1%), RLDM 2022.

PDF Code ICML Page Website (Available soon) Poster (ICML) Slides (ICML oral)

(2022). Learning Symmetric Embeddings for Equivariant World Models. In ICML 2022.

PDF Code ICML Page

(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.

PDF Video Source Document

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