Scholar
Xie Yaqi
Google Scholar ID: lBCCo0EAAAAJ
Carnegie Mellon University
Citations & Impact
Citations
985
H-index
12
i10-index
12
Publications
20
Co-authors
20
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published multiple papers, including NeurIPS Spotlight (3%), RSS Workshop Best Paper Award, etc. For a complete list of publications, please visit the Google Scholar page.
Research Experience
- Currently a postdoctoral researcher at the Robotics Institute, Carnegie Mellon University (CMU). Previously, received a Ph.D. in Computer Science from National University Singapore (NUS).
Education
- Ph.D. in Computer Science from National University Singapore (NUS), advised by Prof. Harold Soh; Postdoctoral Fellow at Carnegie Mellon University (CMU), advised by Prof. Katia Sycara.
Background
- Research Interests: Human-AI Synergy through neural-symbolic fusion, bridging the complementary strengths of symbolic reasoning and deep learning to create adaptive, interpretable intelligence systems. Aims to integrate structured domain knowledge with neural architectures to enhance robustness, efficiency, and trustworthiness in dynamic environments. Research applications span perception, decision-making, and generative models.
Miscellany
- Long-term goal is 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.
