- Publication: Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy, International Journal of Robotics Research (IJRR), 2025.
- Publication: Fast Task Planning with Neuro-Symbolic Relaxation, arXiv preprint arXiv:2507.15975, 2025.
- Award: Presidential Fellowship
Research Experience
- Research Assistant, Northeastern University, USA, Jul. 2023 - Dec. 2023
- Ph.D. in Computer Science and Engineering, University at Buffalo, USA, Aug. 2024 - Present
- B.Eng. in Computer Science and Technology, Tongji University, China, Sept. 2020 - Jun. 2024
Background
Research Interests: Neuro-Symbolic AI, robotic task and motion planning, and 3D computer vision. Focused on building scalable, interpretable systems that bridge symbolic reasoning and neural perception.