Jiaxing Xu (徐家兴) | Nanyang Technological University

About Me

I am a research fellow at College of Computing and Data Science, Nanyang Technological University, with Prof. Yiping Ke. Previously, I defended my Ph.D. in CCDS at NTU in 2024. Prior to NTU, I received a B.S. in Software Engineering from Beihang University in 2020. I worked with Prof. Jie Tang on Natural Language Processing.

Research Interests

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. Meanwhile, I am always open for collaborations and communications. If you are interested in working with me, please feel free to drop me an email.

News

[Apr. 2025] Our paper about the OOD problem of brain networks is selected for oral presentation at AI4X 2025!
[Feb. 2025] I finally complete my oral defence of my Ph.D.!
[Jan. 2025] Our paper about the OOD problem of brain networks is accepted by ICLR 2025!

Education

Nanyang Technological University (NTU)

College of Computing and Data Science

Ph.D. in Computer Science, [Oct 2021 - Feb 2025]

Thesis: Brain Network Analysis by Graph Representation Learning

Beihang University (BUAA)

School of Software

BS in Software Engineering, [Sep 2016 - Jun 2020]

Selected Publications [Google Scholar] (* indicates equally contributions)

ICLR

BrainOOD: Out-of-distribution Generalizable Brain Network Analysis

Jiaxing Xu*, Yongqiang Chen*, Xia Dong, Mengcheng Lan, Tiancheng Huang, Qingtian Bian, James Cheng, Yiping Ke.

In Proceedings of the 13th International Conference on Learning Representations (ICLR'25).

PDF Code BibTex AI4X Conference Oral Presentation

CIKM

Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification

Jiaxing Xu, Kai He, Mengcheng Lan, Qingtian Bian, Wei Li, Tieying Li, Yiping Ke, Miao Qiao

In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM'24).

PDF Code BibTex

IEEE TMI

Contrastive Graph Pooling for Explainable Classification of Brain Networks

Jiaxing Xu, Qingtian Bian, Xinhang Li, Aihu Zhang, Yiping Ke, Miao Qiao, Wei Zhang, Wei Khang Jeremy Sim, and Balázs Gulyás.

In IEEE Transactions on Medical Imaging, 2024.

PDF Code BibTex PREMIA Best Student Paper Honourable Mention Award

AAAI

Union Subgraph Neural Networks

Jiaxing Xu*, Aihu Zhang*, Qingtian Bian, Vijay Prakash Dwivedi and Yiping Ke.

In Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence (AAAI'24).

PDF Code BibTex

INS

A Class-Aware Representation Refinement Framework for Graph Classification

Jiaxing Xu, Jinjie Ni, Yiping Ke.

In Information Sciences, 2024.

PDF BibTex

NeurIPS

Data-Driven Network Neuroscience: On Data Collection and Benchmark

Jiaxing Xu*, Yunhan Yang*, David Tse Jung Huang*, Sophi Shilpa Gururajapathy*, Yiping Ke, Miao Qiao, Alan Wang, Haribalan Kumar, Josh McGeown, and Eryn Kwon.

In Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS'23), Datasets and Benchmarks Track.

PDF Code BibTex

Services

Conference Reviewers

International Conference on Machine Learning (ICML), 2025
International Conference on Learning Representations (ICLR), 2025
Conference on Neural Information Processing Systems (NeurIPS), 2024
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2025
AAAI Conference on Artificial Intelligence (AAAI), 2024, 2025
International Joint Conference on Artificial Intelligence (IJCAI), 2025
The Web Conference (WWW), 2025
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025
International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD), 2024
European Conference on Artificial Intelligence (ECAI), 2025
Learning on Graphs Conference (LOG), 2024

Journal Reviewers

IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Pattern Recognition, 2024
Neural Networks, 2023 - 2025
Engineering Applications of Artificial Intelligence (EAAI), 2022, 2024, 2025
Memetic Computing (MEME), 2021

Experience

Teaching Experience

School of Computer Science and Engineering, Nanyang Technological University

Teaching Assistant of Undergraduate Final Year Project, Oct 2021 - Present
School of Software, Beihang University

Teaching Assistant of Practice of Programming, Aug 2018 - Sep 2018

Professional Experience

Automatic Drive Group, SenseTime Group Limited.

Research Intern, Sep 2020 – Jan 2021
Knowledge Computing Group, Microsoft Research Asia (MSRA)

Research Intern, advised by Börje Karlsson, Dec 2019 - Jun 2020
Knowledge Engineering Group, Tsinghua University

Research Intern, advised by Jie Tang, Jun 2018 - Jun 2020
Computational Intelligence Lab, Nanyang Technological University

Research Intern, advised by Yiping Ke, Jul 2019 - Sep 2019
Big Data Mining Team, Microsoft Research Asia (MSRA)

Research Intern, advised by Börje Karlsson, Mar 2019 - Jun 2019

Awards

2024 PREMIA Best Student Paper Honourable Mention Award
2019 Software College Innovation and Entrepreneurship Scholarship
2019 Software College Excellent Student Leader Award
2019 Yuanhang Undergraduate Summer Overseas Research Scholarship
2019 3rd Prize of the 29th Feng Ru Cup Science and Technology Competition
2018 Software College Innovation and Entrepreneurship Scholarship
2018 3rd Prize of the 28th Feng Ru Cup Science and Technology Competition
2017 Software College Excellent Student Leader Award

Miscellaneous

Aside from my curiosity about computer science and my study preoccupation, I am also a big fan of music and go game. I would like to listen to the concert, play guitar or watch go game competition in my free time. If this involves sports, I favor swimming since it enhances my self-control and it is a benefit in my health insurance and spirit.