Xuan Kan

According to our database, Xuan Kan authored at least 30 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

Xuan Kan, Yonghui Xiao, Tien-Ju Yang, Nanxin Chen, Rajiv Mathews

CoRR, 2024

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

Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Yang Yang, Ying Guo, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang

CoRR, 2024

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

Hejie Cui, Xinyu Fang, Ran Xu, Xuan Kan, Joyce C. Ho, Carl Yang

CoRR, 2024

Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models.

Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, May Dongmei Wang, Wei Jin, Joyce C. Ho, Carl Yang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks.

Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang

IEEE Trans. Medical Imaging, February, 2023

Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models.

Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, Wei Jin, Joyce C. Ho, Carl Yang

CoRR, 2023

A Survey on Knowledge Graphs for Healthcare: Resources, Applications, and Promises.

Hejie Cui, Jiaying Lu, Shiyu Wang, Ran Xu, Wenjing Ma, Shaojun Yu, Yue Yu, Xuan Kan, Chen Ling, Joyce C. Ho, Fei Wang, Carl Yang

CoRR, 2023

Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting.

Hejie Cui, Xinyu Fang, Zihan Zhang, Ran Xu, Xuan Kan, Xin Liu, Yue Yu, Manling Li, Yangqiu Song, Carl Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

R-Mixup: Riemannian Mixup for Biological Networks.

Xuan Kan, Zimu Li, Hejie Cui, Yue Yu, Ran Xu, Shaojun Yu, Zilong Zhang, Ying Guo, Carl Yang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis.

Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Transformer-Based Hierarchical Clustering for Brain Network Analysis.

Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Sanne van Rooij, Carl Yang

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Dynamic Brain Transformer with Multi-Level Attention for Functional Brain Network Analysis.

Xuan Kan, Antonio Aodong Chen Gu, Hejie Cui, Ying Guo, Carl Yang

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

Neighborhood-Regularized Self-Training for Learning with Few Labels.

Ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu, Joyce C. Ho, Chao Zhang, Carl Yang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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

Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang

CoRR, 2022

Brain Network Transformer.

Xuan Kan, Wei Dai, Hejie Cui, Zilong Zhang, Ying Guo, Carl Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Xuan Kan, Hejie Cui, Joshua Lukemire, Ying Guo, Carl Yang

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

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

Yi Yang, Yanqiao Zhu, Hejie Cui, Xuan Kan, Lifang He, Ying Guo, Carl Yang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract).

Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang

Proceedings of the IEEE International Conference on Big Data, 2022

BraceNet: Graph-Embedded Neural Network For Brain Network Analysis.

Xuan Kan, Yunchuan Kong, Tianwei Yu, Ying Guo

Proceedings of the IEEE International Conference on Big Data, 2022

Transformer-Based Hierarchical Clustering for Brain Network Analysis (Extended Abstract).

Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Carl Yang

Proceedings of the IEEE International Conference on Big Data, 2022

BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks (Extended Abstract).

Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang

Proceedings of the IEEE International Conference on Big Data, 2022

2021

The Application of Visual Sensors in the Artistic Design of College Campus Landscape.

Xuan Kan, Deli Cao

J. Sensors, 2021

Effective and Interpretable fMRI Analysis via Functional Brain Network Generation.

Xuan Kan, Hejie Cui, Ying Guo, Carl Yang

CoRR, 2021

A3CMal: Generating adversarial samples to force targeted misclassification by reinforcement learning.

Zhiyang Fang, Junfeng Wang, Jiaxuan Geng, Yingjie Zhou, Xuan Kan

Appl. Soft Comput., 2021

Zero-Shot Scene Graph Relation Prediction Through Commonsense Knowledge Integration.

Xuan Kan, Hejie Cui, Carl Yang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2019

Feature Selection for Malware Detection Based on Reinforcement Learning.

Zhiyang Fang, Junfeng Wang, Jiaxuan Geng, Xuan Kan

IEEE Access, 2019

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

Chris Xiaoxuan Lu, Xuan Kan, Bowen Du, Changhao Chen, Hongkai Wen, Andrew Markham, Niki Trigoni, John A. Stankovic

Proceedings of the World Wide Web Conference, 2019

HydraDoctor: real-time liquids intake monitoring by collaborative sensing.

Bowen Du, Chris Xiaoxuan Lu, Xuan Kan, Kai Wu, Man Luo, Jianfeng Hou, Kai Li, Salil S. Kanhere, Yiran Shen, Hongkai Wen

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

2017

Towards Self-supervised Face Labeling via Cross-modality Association.

Chris Xiaoxuan Lu, Xuan Kan, Stefano Rosa, Bowen Du, Hongkai Wen, Andrew Markham, Niki Trigoni

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

VeriNet: User Verification on Smartwatches via Behavior Biometrics.

Chris Xiaoxuan Lu, Bowen Du, Xuan Kan, Hongkai Wen, Andrew Markham, Niki Trigoni

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