Tel (65) 9436 6748
Email jiaxing.xu@nus.edu.sg

I am a research fellow at Saw Swee Hock School of Public Health at National University of Singapore, with Prof. Mengling Feng. Previously, I defended my Ph.D. in College of Computing and Data Science, Nanyang Technological University in 2025.
My research interests include:

• Graph Representation Learning: graph classification, out-of-distribution generalization, expressiveness of GNNs
• Brain Network Analysis: fMRI, multi-modal brain networks, neurodegenerative disorders

My PhD thesis made some early attempts on these problems. I do believe these fields make invaluable contributions to the real world.

• NUS Saw Swee Hock School of Public Health

• AI for Healthcare
• Medical Imaging Analysis
• Brain Network Analysis
• Graph Representation Learning

• B.S. Beihang University, China. 2020
• Ph.D. Nanyang Technological University, Singapore. 2025
• Research Fellow, Nanyang Technological University, Singapore. 2025

• PREMIA Best Student Paper Honourable Mention Award, 2024

• Research Fellow, Nanyang Technological University, Singapore. 2025

• Xu, Jiaxing, et al. “Multi-Atlas Brain Network Classification through Consistency Distillation and Complementary Information Fusion.” IEEE Journal of Biomedical and Health Informatics, 2025.
• Xu, Jiaxing, et al. “BrainOOD: Out-of-Distribution Generalizable Brain Network Analysis.” Proceedings of the 13th International Conference on Learning Representations (ICLR), 2025.
• Xu, Jiaxing, et al. “BrainPrompt: Multi-Level Brain Prompt Enhancement for Neurological Condition Identification.” Proceedings of the 28th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025.
• Xu, Jiaxing, et al. “Contrastive Graph Pooling for Explainable Classification of Brain Networks.” IEEE Transactions on Medical Imaging, 2024.
• Xu, Jiaxing, et al. “Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification.” Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM), 2024.
• Xu, Jiaxing, et al. “Union Subgraph Neural Networks.” Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI), 2024.
• Xu, Jiaxing, Jinjie Ni, and Yiping Ke. “A Class-Aware Representation Refinement Framework for Graph Classification.” Information Sciences, 2024.
• Xu, Jiaxing, et al. “Data-Driven Network Neuroscience: On Data Collection and Benchmark.” Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS), 2023.