Xuan Kan - researchr alias

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Viewing Publication 1 - 22 from 22

2023

BrainGB: A Benchmark for Brain Network Analysis With Graph Neural NetworksHejie Cui, Wei Dai, Yanqiao Zhu 0001, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He 0001, Ying Guo, Carl Yang. tmi, 42(2):493-506, February 2023. [doi]

Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model PromptingHejie Cui, XinYu Fang, Zihan Zhang, Ran Xu, Xuan Kan, Xin Liu, Yue Yu, Manling Li, Yangqiu Song, Carl J. Yang 0001. nips 2023: [doi]

Transformer-Based Hierarchical Clustering for Brain Network AnalysisWei Dai, Hejie Cui, Xuan Kan, Ying Guo, Sanne van Rooij, Carl Yang. isbi 2023: 1-5 [doi]

Dynamic Brain Transformer with Multi-Level Attention for Functional Brain Network AnalysisXuan Kan, Antonio Aodong Chen Gu, Hejie Cui, Ying Guo, Carl J. Yang. bhi 2023: 1-4 [doi]

R-Mixup: Riemannian Mixup for Biological NetworksXuan Kan, Zimu Li, Hejie Cui, Yue Yu, Ran Xu, Shaojun Yu, Zilong Zhang, Ying Guo, Carl Yang. kdd 2023: 1073-1085 [doi]

Neighborhood-Regularized Self-Training for Learning with Few LabelsRan Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu 0001, Joyce C. Ho, Chao Zhang 0014, Carl Yang. AAAI 2023: 10611-10619 [doi]

Deep Dag Learning of Effective Brain Connectivity for FMRI AnalysisYue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu 0001, Kun Zhang 0001, Razieh Nabi, Ying Guo, Chao Zhang 0014, Carl Yang. isbi 2023: 1-5 [doi]

2022

BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks (Extended Abstract)Hejie Cui, Wei Dai, Yanqiao Zhu 0001, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He 0001, Ying Guo, Carl Yang. bigdataconf 2022: 4968-4969 [doi]

Transformer-Based Hierarchical Clustering for Brain Network Analysis (Extended Abstract)Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Carl Yang. bigdataconf 2022: 4970-4971 [doi]

BraceNet: Graph-Embedded Neural Network For Brain Network AnalysisXuan Kan, Yunchuan Kong, Tianwei Yu, Ying Guo. bigdataconf 2022: 4979-4987 [doi]

FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network GenerationXuan Kan, Hejie Cui, Joshua Lukemire, Ying Guo, Carl Yang. midl 2022: 618-637 [doi]

Brain Network TransformerXuan Kan, Wei Dai, Hejie Cui, Zilong Zhang, Ying Guo, Carl Yang. nips 2022: [doi]

Data-Efficient Brain Connectome Analysis via Multi-Task Meta-LearningYi Yang, Yanqiao Zhu 0001, Hejie Cui, Xuan Kan, Lifang He 0001, Ying Guo, Carl Yang. kdd 2022: 4743-4751 [doi]

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 0001, Kun Zhang 0001, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang. bigdataconf 2022: 4995-4996 [doi]

2021

A3CMal: Generating adversarial samples to force targeted misclassification by reinforcement learningZhiyang Fang, Junfeng Wang 0003, Jiaxuan Geng, Yingjie Zhou, Xuan Kan. asc, 109:107505, 2021. [doi]

Zero-Shot Scene Graph Relation Prediction Through Commonsense Knowledge IntegrationXuan Kan, Hejie Cui, Carl Yang. pkdd 2021: 466-482 [doi]

The Application of Visual Sensors in the Artistic Design of College Campus LandscapeXuan Kan, Deli Cao. js, 2021:1-12, 2021. [doi]

2019

2017

Towards Self-supervised Face Labeling via Cross-modality AssociationChris Xiaoxuan Lu, Xuan Kan, Stefano Rosa, Bowen Du, Hongkai Wen, Andrew Markham, Niki Trigoni. sensys 2017: [doi]

VeriNet: User Verification on Smartwatches via Behavior BiometricsChris Xiaoxuan Lu, Bowen Du, Xuan Kan, Hongkai Wen, Andrew Markham, Niki Trigoni. sensys 2017: 68-73 [doi]

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