VeriNet: User Verification on Smartwatches via Behavior Biometrics. - Chris Xiaoxuan Lu; Bowen Du 002; Xuan Kan; Hongkai Wen 001; Andrew Markham; Niki Trigoni (CrowdSenSys@SenSys, 2017)

Towards Self-supervised Face Labeling via Cross-modality Association. - Chris Xiaoxuan Lu; Xuan Kan; Stefano Rosa; Bowen Du 002; Hongkai Wen 001; Andrew Markham; Niki Trigoni (SenSys, 2017)

HydraDoctor: real-time liquids intake monitoring by collaborative sensing. - Bowen Du 002; Chris Xiaoxuan Lu; Xuan Kan; Kai Wu; Man Luo 001; Jianfeng Hou; Kai Li 002; Salil S. Kanhere; Yiran Shen 001; Hongkai Wen 001 (ICDCN, 2019)

Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues. - Chris Xiaoxuan Lu; Xuan Kan; Bowen Du 002; Changhao Chen; Hongkai Wen 001; Andrew Markham; Niki Trigoni; John A. Stankovic (WWW, 2019)

Feature Selection for Malware Detection Based on Reinforcement Learning. - Zhiyang Fang; Junfeng Wang 003; Jiaxuan Geng; Xuan Kan (IEEE Access, 2019)

Zero-Shot Scene Graph Relation Prediction Through Commonsense Knowledge Integration. - Xuan Kan; Hejie Cui; Carl Yang 001 (ECML/PKDD (2), 2021)

A3CMal: Generating adversarial samples to force targeted misclassification by reinforcement learning. - Zhiyang Fang; Junfeng Wang 003; Jiaxuan Geng; Yingjie Zhou; Xuan Kan (Appl. Soft Comput., 2021)

Effective and Interpretable fMRI Analysis via Functional Brain Network Generation. - Xuan Kan; Hejie Cui; Ying Guo 003; Carl Yang 001 (CoRR, 2021)

The Application of Visual Sensors in the Artistic Design of College Campus Landscape. - Xuan Kan; Deli Cao (J. Sensors, 2021)

BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks (Extended Abstract). - Hejie Cui; Wei Dai 013; Yanqiao Zhu 001; Xuan Kan; Antonio Aodong Chen Gu; Joshua Lukemire; Liang Zhan; Lifang He 001; Ying Guo 003; Carl Yang 001 (IEEE Big Data, 2022)

Transformer-Based Hierarchical Clustering for Brain Network Analysis (Extended Abstract). - Wei Dai 013; Hejie Cui; Xuan Kan; Ying Guo 003; Carl Yang 001 (IEEE Big Data, 2022)

BraceNet: Graph-Embedded Neural Network For Brain Network Analysis. - Xuan Kan; Yunchuan Kong; Tianwei Yu; Ying Guo 003 (IEEE Big Data, 2022)

Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract). - Yue Yu 001; Xuan Kan; Hejie Cui; Ran Xu 002; Yujia Zheng 001; Xiangchen Song; Yanqiao Zhu 001; Kun Zhang 001; Razieh Nabi; Ying Guo 003; Chao Zhang 014; Carl Yang 001 (IEEE Big Data, 2022)

Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning. - Yi Yang 094; Yanqiao Zhu 001; Hejie Cui; Xuan Kan; Lifang He 001; Ying Guo 003; Carl Yang 001 (KDD, 2022)

FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation. - Xuan Kan; Hejie Cui; Joshua Lukemire; Ying Guo 003; Carl Yang 001 (MIDL, 2022)

Brain Network Transformer. - Xuan Kan; Wei Dai 013; Hejie Cui; Zilong Zhang; Ying Guo 003; Carl Yang 001 (NeurIPS, 2022)

Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks. - Yue Yu 001; Xuan Kan; Hejie Cui; Ran Xu 002; Yujia Zheng 001; Xiangchen Song; Yanqiao Zhu 001; Kun Zhang 001; Razieh Nabi; Ying Guo 003; Chao Zhang 014; Carl Yang 001 (CoRR, 2022)

Neighborhood-Regularized Self-Training for Learning with Few Labels. - Ran Xu 002; Yue Yu 001; Hejie Cui; Xuan Kan; Yanqiao Zhu 001; Joyce C. Ho; Chao Zhang 014; Carl Yang 001 (AAAI, 2023)

Dynamic Brain Transformer with Multi-Level Attention for Functional Brain Network Analysis. - Xuan Kan; Antonio Aodong Chen Gu; Hejie Cui; Ying Guo 003; Carl Yang 001 (BHI, 2023)

Transformer-Based Hierarchical Clustering for Brain Network Analysis. - Wei Dai 013; Hejie Cui; Xuan Kan; Ying Guo 003; Sanne J. H. van Rooij; Carl Yang 001 (ISBI, 2023)

Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis. - Yue Yu 001; Xuan Kan; Hejie Cui; Ran Xu 002; Yujia Zheng 001; Xiangchen Song; Yanqiao Zhu 001; Kun Zhang 001; Razieh Nabi; Ying Guo 003; Chao Zhang 014; Carl Yang 001 (ISBI, 2023)

R-Mixup: Riemannian Mixup for Biological Networks. - Xuan Kan; Zimu Li; Hejie Cui; Yue Yu 001; Ran Xu 002; Shaojun Yu; Zilong Zhang; Ying Guo 003; Carl Yang 001 (KDD, 2023)

Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting. - Hejie Cui; Xinyu Fang; Zihan Zhang; Ran Xu 002; Xuan Kan; Xin Liu 039; Yue Yu 001; Manling Li; Yangqiu Song; Carl Yang 001 (NeurIPS, 2023)

A Survey on Knowledge Graphs for Healthcare: Resources, Applications, and Promises. - Hejie Cui; Jiaying Lu 001; Shiyu Wang 002; Ran Xu 002; Wenjing Ma; Shaojun Yu; Yue Yu 001; Xuan Kan; Chen Ling 003; Joyce C. Ho; Fei Wang; Carl Yang 001 (CoRR, 2023)

Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. - Ran Xu 002; Hejie Cui; Yue Yu 001; Xuan Kan; Wenqi Shi; Yuchen Zhuang; Wei Jin 009; Joyce C. Ho; Carl Yang 001 (CoRR, 2023)

BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks. - Hejie Cui; Wei Dai 013; Yanqiao Zhu 001; Xuan Kan; Antonio Aodong Chen Gu; Joshua Lukemire; Liang Zhan; Lifang He 001; Ying Guo 003; Carl Yang 001 (IEEE Trans. Medical Imaging, 2023)

Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. - Ran Xu 002; Hejie Cui; Yue Yu 001; Xuan Kan; Wenqi Shi; Yuchen Zhuang; May Dongmei Wang; Wei Jin 009; Joyce C. Ho; Carl Yang 001 (ACL (Findings), 2024)

BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations. - Kaiqiao Han; Yi Yang 001; Zijie Huang 002; Xuan Kan; Ying Guo 003; Yang Yang 009; Lifang He 001; Liang Zhan; Yizhou Sun; Wei Wang 010; Carl Yang 001 (BHI, 2024)

Multi-task Learning for Brain Network Analysis in the ABCD Study. - Xuan Kan; Hejie Cui; Keqi Han; Ying Guo 003; Carl Yang 001 (BHI, 2024)

Multimodal Fusion of EHR in Structures and Semantics: Integrating Clinical Records and Notes with Hypergraph and LLM. - Hejie Cui; Xinyu Fang; Ran Xu 002; Xuan Kan; Joyce C. Ho; Carl Yang 001 (CoRR, 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)

A review on knowledge graphs for healthcare: Resources, applications, and promises. - Hejie Cui; Jiaying Lu 001; Ran Xu 002; Shiyu Wang 002; Wenjing Ma; Yue Yu 001; Shaojun Yu; Xuan Kan; Chen Ling 003; Liang Zhao 002; Zhaohui S. Qin; Joyce C. Ho; et al. (J. Biomed. Informatics, 2025)