Xuan Kan

48 papers A* 6B 4Misc 2Journal 26Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bi-Level Prompt Optimization for Multimodal LLM-as-a-Judge.
CoRR
Bo Pan, Xuan Kan, Kaitai Zhang, Yan Yan, Shunwen Tan, Zihao He, Zixin Ding, Junjie Wu, Liang Zhao
2026 J jnl
Multi-Task Reinforcement Learning for Enhanced Multimodal LLM-as-a-Judge.
CoRR
Junjie Wu, Xuan Kan, Zihao He, Shunwen Tan, Bo Pan, Kaitai Zhang
2025 J jnl
A review on knowledge graphs for healthcare: Resources, applications, and promises.
J. Biomed. Informatics
Hejie Cui, Jiaying Lu, Ran Xu, Shiyu Wang, Wenjing Ma, Yue Yu, Shaojun Yu, Xuan Kan, Chen Ling, Liang Zhao, Zhaohui S. Qin, Joyce C. Ho, Tianfan Fu, Jing Ma, Mengdi Huai, Fei Wang, Carl Yang
2025 J jnl
Atlas-free Brain Network Transformer.
CoRR
Shuai Huang, Xuan Kan, James J. Lah, Deqiang Qiu
2025 — conf
Multimodal Fusion of EHR in Structures and Semantics: Integrating Clinical Records and Notes with Hypergraph and LLM.
MedInfo
Hejie Cui, Xinyu Fang, Ran Xu, Xuan Kan, Joyce C. Ho, Carl Yang
2024 — conf
BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations.
BHI
Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Ying Guo, Yang Yang, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang
2024 J jnl
BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations.
CoRR
Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Yang Yang, Ying Guo, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang
2024 — conf
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models.
ACL (Findings)
Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, May Dongmei Wang, Wei Jin, Joyce C. Ho, Carl Yang
2024 — conf
Multi-task Learning for Brain Network Analysis in the ABCD Study.
BHI
Xuan Kan, Hejie Cui, Keqi Han, Ying Guo, Carl Yang
2024 J jnl
Multimodal Fusion of EHR in Structures and Semantics: Integrating Clinical Records and Notes with Hypergraph and LLM.
CoRR
Hejie Cui, Xinyu Fang, Ran Xu, Xuan Kan, Joyce C. Ho, Carl Yang
2024 J jnl
Parameter-Efficient Transfer Learning under Federated Learning for Automatic Speech Recognition.
CoRR
Xuan Kan, Yonghui Xiao, Tien-Ju Yang, Nanxin Chen, Rajiv Mathews
2023 J jnl
A Survey on Knowledge Graphs for Healthcare: Resources, Applications, and Promises.
CoRR
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
2023 J jnl
BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks.
IEEE Trans. Medical Imaging
Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang
2023 — conf
Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis.
ISBI
Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
2023 — conf
Dynamic Brain Transformer with Multi-Level Attention for Functional Brain Network Analysis.
BHI
Xuan Kan, Antonio Aodong Chen Gu, Hejie Cui, Ying Guo, Carl Yang
2023 J jnl
Dynamic Brain Transformer with Multi-level Attention for Functional Brain Network Analysis.
CoRR
Xuan Kan, Antonio Aodong Chen Gu, Hejie Cui, Ying Guo, Carl Yang
2023 J jnl
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models.
CoRR
Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, Wei Jin, Joyce C. Ho, Carl Yang
2023 A* conf
Neighborhood-Regularized Self-Training for Learning with Few Labels.
AAAI
Ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu, Joyce C. Ho, Chao Zhang, Carl Yang
2023 J jnl
Neighborhood-Regularized Self-Training for Learning with Few Labels.
CoRR
Ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu, Joyce C. Ho, Chao Zhang, Carl Yang
2023 A* conf
Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting.
NeurIPS
Hejie Cui, Xinyu Fang, Zihan Zhang, Ran Xu, Xuan Kan, Xin Liu, Yue Yu, Manling Li, Yangqiu Song, Carl Yang
2023 J jnl
Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting.
CoRR
Hejie Cui, Xinyu Fang, Zihan Zhang, Ran Xu, Xuan Kan, Xin Liu, Yue Yu, Manling Li, Yangqiu Song, Carl Yang
2023 A* conf
R-Mixup: Riemannian Mixup for Biological Networks.
KDD
Xuan Kan, Zimu Li, Hejie Cui, Yue Yu, Ran Xu, Shaojun Yu, Zilong Zhang, Ying Guo, Carl Yang
2023 J jnl
R-Mixup: Riemannian Mixup for Biological Networks.
CoRR
Xuan Kan, Zimu Li, Hejie Cui, Yue Yu, Ran Xu, Shaojun Yu, Zilong Zhang, Ying Guo, Carl Yang
2023 — conf
Transformer-Based Hierarchical Clustering for Brain Network Analysis.
ISBI
Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Sanne J. H. van Rooij, Carl Yang
2023 J jnl
Transformer-Based Hierarchical Clustering for Brain Network Analysis.
CoRR
Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Sanne J. H. van Rooij, Carl Yang
2022 B conf
BraceNet: Graph-Embedded Neural Network For Brain Network Analysis.
IEEE Big Data
Xuan Kan, Yunchuan Kong, Tianwei Yu, Ying Guo
2022 A* conf
Brain Network Transformer.
NeurIPS
Xuan Kan, Wei Dai, Hejie Cui, Zilong Zhang, Ying Guo, Carl Yang
2022 J jnl
Brain Network Transformer.
CoRR
Xuan Kan, Wei Dai, Hejie Cui, Zilong Zhang, Ying Guo, Carl Yang
2022 B conf
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks (Extended Abstract).
IEEE Big Data
Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang
2022 J jnl
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks.
CoRR
Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang
2022 A* conf
Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning.
KDD
Yi Yang, Yanqiao Zhu, Hejie Cui, Xuan Kan, Lifang He, Ying Guo, Carl Yang
2022 J jnl
Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning.
CoRR
Yi Yang, Yanqiao Zhu, Hejie Cui, Xuan Kan, Lifang He, Ying Guo, Carl Yang
2022 — conf
FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation.
MIDL
Xuan Kan, Hejie Cui, Joshua Lukemire, Ying Guo, Carl Yang
2022 J jnl
FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation.
CoRR
Xuan Kan, Hejie Cui, Joshua Lukemire, Ying Guo, Carl Yang
2022 B conf
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract).
IEEE Big Data
Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
2022 J jnl
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks.
CoRR
Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
2022 B conf
Transformer-Based Hierarchical Clustering for Brain Network Analysis (Extended Abstract).
IEEE Big Data
Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Carl Yang
2021 J jnl
A3CMal: Generating adversarial samples to force targeted misclassification by reinforcement learning.
Appl. Soft Comput.
Zhiyang Fang, Junfeng Wang, Jiaxuan Geng, Yingjie Zhou, Xuan Kan
2021 J jnl
Effective and Interpretable fMRI Analysis via Functional Brain Network Generation.
CoRR
Xuan Kan, Hejie Cui, Ying Guo, Carl Yang
2021 J jnl
The Application of Visual Sensors in the Artistic Design of College Campus Landscape.
J. Sensors
Xuan Kan, Deli Cao
2021 — conf
Zero-Shot Scene Graph Relation Prediction Through Commonsense Knowledge Integration.
ECML/PKDD (2)
Xuan Kan, Hejie Cui, Carl Yang
2021 J jnl
Zero-Shot Scene Graph Relation Prediction through Commonsense Knowledge Integration.
CoRR
Xuan Kan, Hejie Cui, Carl Yang
2019 A* conf
Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues.
WWW
Chris Xiaoxuan Lu, Xuan Kan, Bowen Du, Changhao Chen, Hongkai Wen, Andrew Markham, Niki Trigoni, John A. Stankovic
2019 J jnl
Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues.
CoRR
Chris Xiaoxuan Lu, Xuan Kan, Bowen Du, Changhao Chen, Hongkai Wen, Andrew Markham, Niki Trigoni, John A. Stankovic
2019 J jnl
Feature Selection for Malware Detection Based on Reinforcement Learning.
IEEE Access
Zhiyang Fang, Junfeng Wang, Jiaxuan Geng, Xuan Kan
2019 Misc conf
HydraDoctor: real-time liquids intake monitoring by collaborative sensing.
ICDCN
Bowen Du, Chris Xiaoxuan Lu, Xuan Kan, Kai Wu, Man Luo, Jianfeng Hou, Kai Li, Salil S. Kanhere, Yiran Shen, Hongkai Wen
2017 Misc conf
Towards Self-supervised Face Labeling via Cross-modality Association.
SenSys
Chris Xiaoxuan Lu, Xuan Kan, Stefano Rosa, Bowen Du, Hongkai Wen, Andrew Markham, Niki Trigoni
2017 — conf
VeriNet: User Verification on Smartwatches via Behavior Biometrics.
CrowdSenSys@SenSys
Chris Xiaoxuan Lu, Bowen Du, Xuan Kan, Hongkai Wen, Andrew Markham, Niki Trigoni