publications

2025

1. MedInfo

   Multimodal Fusion of EHR in Structures and Semantics: Integrating Clinical Records and Notes with Hypergraph and LLM

   Hejie Cui, Xinyu Fang, Ran Xu, and 3 more authors

   MedInfo, 2025

2024

1. IEEE BHI

   Multi-task Learning for Brain Network Analysis in the ABCD study

   Xuan Kan, Hejie Cui, Keqi Han, and 2 more authors

   In The IEEE-EMBS International Conference on Biomedical and Health Informatics, 2024
2. IEEE BHI

   BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations

   Kaiqiao Han, Yi Yang, Zijie Huang, and 8 more authors

   In The IEEE-EMBS International Conference on Biomedical and Health Informatics, 2024
3. ISBI

   Convergent Brain Connectome Analysis with Brain Graph Transformers

   Keqi Han, Xuan Kan, and Carl Yang

   In IEEE International Symposium on Biomedical Imaging, 2024
4. arXiv

   Parameter-Efficient Transfer Learning under Federated Learning for Automatic Speech Recognition

   Xuan Kan, Yonghui Xiao, Tien-Ju Yang, and 2 more authors

   arXiv preprint arXiv:2408.11873, 2024
5. ACL

   Knowledge-Infused Prompting Improves Clinical Text Generation with Large Language Models

   Ran Xu, Hejie Cui, Yue Yu, and 6 more authors

   In The 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023

1. NeurIPS

   Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting

   Hejie Cui, Xinyu Fang, Zihan Zhang, and 6 more authors

   Proceedings of the Conference on Neural Information Processing Systems, 2023
2. IEEE BHI

   Dynamic Brain Transformer with Multi-level Attention for Functional Brain Network Analysis

   Xuan Kan, Aodong Chen Gu, Hejie Cui, and 2 more authors

   The IEEE-EMBS International Conference on Biomedical and Health Informatics, 2023

   arXiv Code
3. KDD

   R-Mixup: Riemannian Mixup for Biological Networks

   Xuan Kan, Zimu Li, Hejie Cui, and 6 more authors

   Proceedings of the ACM International Conference on Knowledge Discovery and Data Mining, 2023

   arXiv
4. ISBI

   Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks

   Yue Yu, Xuan Kan, Hejie Cui, and 9 more authors

   The IEEE International Symposium on Biomedical Imaging, 2023

   arXiv
5. ISBI

   Transformer Based Hierarchical Clus- tering On Brain Networks

   Wei Dai, Hejie Dai, Xuan Kan, and 2 more authors

   The IEEE International Symposium on Biomedical Imaging, 2023
6. AAAI

   Neighborhood-regularized Self-Training for Learning with Few Labels

   Ran Xu, Yue Yu, Hejie Cui, and 5 more authors

   The AAAI International Conference on Artificial Intelligence, 2023

2022

1. Big Data

   BraceNet: Graph-Embedded Neural Network For Brain Network Analysis

   Xuan Kan, Yunchuan Kong, Tianwei Yu, and 1 more author

   IEEE International Conference on Big Data, 2022
2. TMI

   BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks

   Hejie Cui, Wei Dai, Yanqiao Zhu, and 7 more authors

   IEEE Transactions on Medical Imaging, 2022

   arXiv Code Website
3. NeurIPS

   Brain Network Transformer

   Xuan Kan, Wei Dai, Hejie Cui, and 3 more authors

   Proceedings of the Conference on Neural Information Processing Systems, 2022

   arXiv Code Poster
4. KDD

   Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning

   Yi Yang, Yanqiao Zhu, Hejie Cui, and 4 more authors

   Proceedings of the ACM International Conference on Knowledge Discovery and Data Mining, 2022

   arXiv
5. MIDL

   FBNetGen: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation

   Xuan Kan, Hejie Cui, Joshua Lukemire, and 2 more authors

   Medical Imaging with Deep Learning, 2022

   arXiv Code

2021

1. ECML-PKDD

   Zero-shot Scene Graph Relation Prediction through Commonsense Knowledge Integration

   Xuan Kan, Hejie Cui, and Carl Yang

   The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

   arXiv Code Poster
2. ENAR

   Investigating Linked Latent Constructs in Brain Connectivity and PTSD Symptoms using PLS

   Xuan Kan, Ying Guo, Amita Manatunga, and 2 more authors

   The Eastern North American Region Meeting, 2021

   Abs Poster

   There has been a growing interest in applying neuroimaging to investigate neurological underpinning of complex mental disorders such as post-traumatic stress disorder (PTSD). In this work, we investigate the phenotypes of neuroimaging (e.g., brain connectivity) in relation to the self-reported clinical assessments of psychiatric scales of PTSD in an inner-city high risk population. We employ partial least square regression method to identify latent factors that explain connections between neuroimage phenotype and the PTSD psychiatric scales, while accommodating the high dimensionality of the neuroimaging phenotype. We conduct a comprehensive analysis of a dataset from the Grady Trauma project and discuss our findings.

2019

1. WWW

   Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues

   Chris Xiaoxuan Lu, Xuan Kan, Bowen Du, and 5 more authors

   In The World Wide Web Conference, 2019

   arXiv Code
2. ICDCN

   HydraDoctor: Real-Time Liquids Intake Monitoring by Collaborative Sensing

   Bowen Du, Chris Xiaoxuan Lu, Xuan Kan, and 7 more authors

   In Proceedings of the 20th International Conference on Distributed Computing and Networking, 2019

2017

1. CrowdSenSys

   VeriNet: User Verification on Smartwatches via Behavior Biometrics

   Chris Xiaoxuan Lu, Bowen Du, Xuan Kan, and 3 more authors

   In Proceedings of the First ACM Workshop on Mobile Crowdsensing Systems and Applications, 2017

   PDF
2. SenSys

   Towards Self-supervised Face Labeling via Cross-modality Association

   Chris Xiaoxuan Lu, Xuan Kan, Stefano Rosa, and 4 more authors

   In Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems, 2017

   PDF