Profile Photo
Xu Guo 郭旭
Research Scientist
Wallenberg-NTU Presidential Postdoctoral Fellow
LILY Research Center, College of Computing and Data Science
Nanyang Technological University, Singapore
Email: xu.guo@ntu.edu.sg
I study how AI systems reason, adapt, and interact reliably and efficiently in data-constrained settings.
Short Bio
Dr. Xu Guo is a Research Scientist at the LILY Research Center, Nanyang Technological University (NTU), Singapore. Her research develops efficient and trustworthy human-AI systems for health and social impact, integrating generative AI and synthetic data, reliable and efficient LLM reasoning, and affective human-centered AI.

From 2023 to 2026, Xu held the prestigious Wallenberg-NTU Presidential Postdoctoral Fellowship, working on AI for healthy aging (with Prof. Chunyan Miao). In 2025, she was a researcher at the Department of Information Science and Engineering, KTH Royal Institute of Technology, Sweden, working on information-theoretic approaches for understanding LLM reasoning (with Prof. Mikael Skoglund). Xu received her Ph.D. from NTU in June 2023 under the supervision of Prof. Han Yu, focusing on data-efficient algorithms for domain adaptation.

Research internship and research attachment opportunities for students at NTU and CSC students. Topics include LLM reasoning, AI agents, VLM compression, EEG/EMG modeling, and health analytics. Minimum commitment 6 months.

🌱 Join Us 🌱

Looking for motivated students to join us! Current research projects include (but not limited to):

🧑‍🎓 Open to NTU or Singapore-based students, and CSC students. A minimum commitment of 6 months is expected.

Please send your CV and a brief statement of research interests to 📩

Selected Publications View full list →
🌿 Academic Service
Area Chair
ACL Rolling Review (ACL / EMNLP / NAACL / EACL / COLING), 2025–present
Session Chair
IJCAI 2024, CIKM 2023
Publication Chair
Federated Learning Workshop @IJCAI 2021
Reviewer / PC Member
ACL Rolling Review (2022-2025), NeurIPS 2025, COLM 2025, AAAI 2023-2025, Nature Computational Science 2025, Pattern Recognition 2025, IEEE TNNLS 2023-2025, IEEE TASLP 2023-2024, etc.