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.

My work centers on Human-AI Synergy through neural-symbolic fusion, bridging the complementary strengths of symbolic reasoning and deep learning to create adaptive, interpretable intelligence systems. I aim to integrate structured domain knowledge with neural architectures to enhance robustness, efficiency, and trustworthiness in dynamic environments. My research applications span perception, decision-making, and generative models.

In the long run, I strive to build adaptive AI agents that not only learn from data but also incorporate human knowledge and feedback, work seamlessly with humans, and align with human needs to enhance everyday life.

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

news

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

selected publications

For a complete list of publications, please visit my Google Scholar page.

  1. ICLR
    Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models
    Ce Zhang, Zifu Wan, Zhehan Kan, Martin Q. Ma, Simon Stepputtis, Deva Ramanan, Russ Salakhutdinov, Louis-Philippe Morency, Katia Sycara, and Yaqi Xie
    In International Conference on Learning Representations (ICLR) 2025
  2. Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models
    Ce Zhang, Simon Stepputtis, Katia Sycara, and Yaqi Xie
    In Advances in Neural Information Processing Systems (NeurIPS) 2024
  3. RA-L
    Let Me Help You! Neuro-Symbolic Short-Context Action Anticipation
    Sarthak Bhagat, Samuel Li, Joseph Campbell, Yaqi Xie, Katia Sycara, and Simon Stepputtis
    IEEE Robotics and Automation Letters (RA-L) 2024
  4. WACV
    Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation
    Zifu Wan, Pingping Zhang, Yuhao Wang, Silong Yong, Simon Stepputtis, Katia Sycara, and Yaqi Xie
    In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025
  5. CVPR
    HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation
    Ce Zhang, Simon Stepputtis, Joseph Campbell, Katia Sycara, and Yaqi Xie
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024
  6. Preprint
    Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis
    Yafei Hu, Quanting Xie, Vidhi Jain, Jonathan Francis, Jay Patrikar, Nikhil Keetha, Seungchan Kim, Yaqi Xie, Tianyi Zhang, Hao-Shu Fang, Shibo Zhao, Shayegan Omidshafiei, Dong-Ki Kim, Ali-akbar Agha-mohammadi, Katia Sycara, Matthew Johnson-Roberson, Dhruv Batra, Xiaolong Wang, Sebastian Scherer, Chen Wang, Zsolt Kira, Fei Xia, and Yonatan Bisk
    2024
  7. Embedding Symbolic Knowledge into Deep Networks
    Yaqi Xie, Ziwei Xu, Mohan S Kankanhalli, Kuldeep S Meel, and Harold Soh
    In Advances in Neural Information Processing Systems (NeurIPS) 2019
  8. ICRA
    Embedding Symbolic Temporal Knowledge into Deep Sequential Models
    Yaqi Xie, Fan Zhou, and Harold Soh
    In IEEE International Conference on Robotics and Automation (ICRA) 2021
  9. IJRR
    Multi-task trust transfer for human–robot interaction
    Harold Soh, Yaqi Xie, Min Chen, and David Hsu
    The International Journal of Robotics Research (IJRR) 2019
  10. HRI
    Robot Capability and Intention in Trust-Based Decisions Across Tasks
    Yaqi Xie, Indu P Bodala, Desmond C. Ong, David Hsu, and Harold Soh
    In ACM/IEEE International Conference on Human-Robot Interaction (HRI) 2019
  11. Preprint
    Translating Natural Language to Planning Goals with Large-Language Models
    Yaqi Xie, Chen Yu, Tongyao Zhu, Jinbin Bai, Ze Gong, and Harold Soh
    2023