Jiaxing Xu （徐家兴）

PhD Candidate
Nanyang Technological University
Email: jiaxing003@e.ntu.edu.sg

Hi! I am a final-year PhD candidate at College of Computing and Data Science, Nanyang Technological University, supervised by Prof. Yiping Ke.
Prior to NTU, I received a B.S. in Software Engineering from Beihang University in 2020. I worked with Prof. Jie Tang at Tsinghua University on Natural Language Processing. In 2019 and 2020, I was a research intern in Knowledge Computing Group, Microsoft Research Asia.

My research interests lie in representation learning and healthcare, especially on graph neural networks. I do believe these fields make invaluable contributions to the real world.

Curriculum Vitae

Education

Publications

Jiaxing Xu, Kai He, Mengcheng Lan, Qingtian Bian, Wei Li, Tieying Li, Yiping Ke, and Miao Qiao. Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification. In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM'24).

Jiaxing Xu, Jinjie Ni, and Yiping Ke. A Class-Aware Representation Refinement Framework for Graph Classification. In Information Sciences.

Jiaxing Xu, Qingtian Bian, Xinhang Li, Aihu Zhang, Yiping Ke, Miao Qiao, Wei Zhang, Wei Khang Jeremy Sim, and Balázs Gulyás. Contrastive Graph Pooling for Explainable Classification of Brain Networks. In IEEE Transactions on Medical Imaging (TMI‘24). PREMIA Best Student Paper Honourable Mention Award

Tieying Li, Lingdu Kong, Xiaochun Yang#, Bin Wang, Jiaxing Xu. Bridging Modalities: A Survey of Cross-Modal Image-Text Retrieval. In Chinese Journal of Information Fusion, 2024.

Tieying Li, Xiaochun Yang, Yiping Ke, Bin Wang, Yinan Liu, and Jiaxing Xu. Alleviating the Inconsistency of Multimodal Data in Cross-Modal Retrieval. In Proceeding of the IEEE International Conference of Data Engineering (ICDE'24).

Jiaxing Xu*, Aihu Zhang*, Qingtian Bian, and Yiping Ke. Union Subgraph Neural Network. In Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence (AAAI‘24).

Jiaxing Xu*, Yunhan Yang*, David Tse Jung Huang*, Sophi Shilpa Gururajapathy*, Yiping Ke, Miao Qiao, Alan Wang, Haribalan Kumar, Josh McGeown, and Eryn Kwon. Data-Driven Network Neuroscience: On Data Collection and Benchmark. In Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS'23)

Mengcheng Lan, Xinjiang Wang, Yiping Ke, Jiaxing Xu, Litong Feng, and Wayne Zhang. SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation. In Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS'23).

Qingtian Bian, Jiaxing Xu, Hui Fang, and Yiping Ke. CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM'23). Oral

Xinhang Li, Xiangyu Zhao, Jiaxing Xu, Yong Zhang, and Chunxiao Xing. IMF: Interactive Multimodal Fusion Model for Link Prediction. In Proceedings of The ACM Web Conference (WWW'23).

Professional Experience

• Knowledge Computing Group, Microsoft Research Asia
  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
  Research Intern, advised by Börje Karlsson
  Mar 2019 - Jun 2019
  
• School of Software, Beihang University
  Teaching Assistant of The Practice of Programming
  Aug 2018 - Sep 2018
• Jiuyi (Beijing) Information Technology Co., Ltd.
  R&D Engineer, Research and Development Department
  Jun 2017 - Sep 2017

Conference/Journal Referee

• • International Conference on Machine Learning (ICML), 2025
• International Conference on Learning Representations (ICLR), 2025
• Conference on Neural Information Processing Systems (NeurIPS), 2024
• International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
• ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2025
• AAAI Conference on Artificial Intelligence (AAAI), 2024, 2025
• The Web Conference (WWW), 2025
• International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD), 2024
• Learning on Graphs Conference (LOG), 2024
• IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
• Neural Networks, 2023, 2024
• Engineering Applications of Artificial Intelligence (EAAI), 2022, 2024
• Memetic Computing (MEME), 2021

Honors

• 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

Community & Organization Experience

• Student Union of Software School, Beihang University
  Minister of Public Relations Department
  Jul 2017 - Jul 2019
  
• HP DreamWorks, Beihang University
  Campus Captain
  Jun 2017 - Jun 2019

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.