Yaqi Xie

Postdoctoral Fellow of Carnegie Mellon University (CMU).

I am currently a postdoctoral researcher at Carnegie Mellon University (CMU) in the Robotics Institute advised by Prof. Katia Sycara. Before that, I received my Ph.D. in Computer Science from National University Singapore (NUS), where I was fortunated to be advised by Prof. Harold Soh.

Research: My interest spans multiple areas, including knowledge representation, human robot collaboration and multi-agent reinforcement learning. I am particularly interested in incorporating symbolic domain knowledge methods to enhance deep neural networks. In the long run, I want to make intelligent agents accessible to everyone and enhance people’s lives by making it sample efficient, reliable and interpretable.

Feel free to contact me if you are interested in my research and want to discuss relevant research topic or potential collaborations! :)


Feb 8, 2023 I joined Carnegie Mellow University (CMU) as a postdoctoral fellow.

selected publications

  1. Embedding Symbolic Knowledge into Deep Networks
    Yaqi Xie, Ziwei Xu, Mohan S Kankanhalli, Kuldeep S Meel, and 1 more author
    In Advances in Neural Information Processing Systems 2019
  2. ICRA
    Embedding Symbolic Temporal Knowledge into Deep Sequential Models
    Yaqi Xie, Fan Zhou, and Harold Soh
    In 2021 IEEE International Conference on Robotics and Automation (ICRA) 2021
  3. IJRR
    Multi-task trust transfer for human–robot interaction
    Harold Soh, Yaqi Xie, Min Chen, and David Hsu
    The International Journal of Robotics Research 2020
  4. HRI
    Robot Capability and Intention in Trust-Based Decisions Across Tasks
    Yaqi Xie, Indu P Bodala, Desmond C. Ong, David Hsu, and 1 more author
    In 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI) 2019
  5. Preprint
    Translating Natural Language to Planning Goals with Large-Language Models
    Yaqi Xie, Chen Yu, Tongyao Zhu, Jinbin Bai, and 2 more authors