publications

2022

1. NeurIPS

   Brain Network Transformer

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

   Proceedings of the Conference on Neural Information Processing Systems 2022

   Also Presented in Workshop ICML-IMLH 2022 (Oral, no proceedings)
2. KDD

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

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

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

   arXiv
3. Under Review

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

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

   Arxiv (Under Review) 2022

   arXiv Code Website
4. MIDL

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

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

   Medical Imaging with Deep Learning 2022

   Also Presented in Workshop ICML-IMLH 2021 (no proceedings)

   arXiv Code

2021

1. ECML-PKDD

   Zero-shot Scene Graph Relation Prediction through Commonsense Knowledge Integration

   Kan, Xuan, Cui, Hejie, and Yang, Carl

   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

   Kan, Xuan, Guo, Ying, Manatunga, Amita, Stevens, Jennifer, and Peng, Limin

   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

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

   In The World Wide Web Conference 2019 (Co-first author)

   arXiv Code
2. ICDCN

   HydraDoctor: Real-Time Liquids Intake Monitoring by Collaborative Sensing

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

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

2017

1. CrowdSenSys

   VeriNet: User Verification on Smartwatches via Behavior Biometrics

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

   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

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

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

   PDF