The one in pink is me :)
N410, 201 Dowman Drive
Atlanta, Georgia 30322
My name is Xuan Kan (阚璇). I obtained my bachelor’s degree in Software Engineering at Tongji University, Shanghai, advised by Prof. Lin Zhang. During my undergraduate study, my research focused on pervasive and trustworthy systems design and implementation using machine learning methods supervised by Dr. Xiaoxuan Lu at University of Oxford. Besides, I interned at Smart City Group of SenseTime, working on improving neural network efficiency with Neural Architecture Search.
Currently, I am pursuing my Ph.D. degree in computer science at Emory University under the joint supervision of Prof. Carl Yang and Prof. Ying Guo. My research goal aims to design more efficient and interpretable machine learning algorithms for fMRI data, which can assist in neurobiological findings and mental disease diagnosis.
|Sep 14, 2022||One paper entitled Brain Network Transformer has been accepted for NeurIPS 2022.|
|Jun 2, 2022||Our work on cross-data brain networks got accepted to KDD Health Day.|
|May 30, 2022||Our paper on GNNs with functional brain network generation has been selected for an oral presentation at MIDL 2022.|
|May 16, 2022||Start my intern on Meta Ads Core ML team!|
|Apr 30, 2022||We will be organizing the 1st International Workshop on Neural Network Models for Brain Connectome Analysis (BrainNN2022), at IEEE BigData 2022, in December 2022. Various types of submissions are welcomed!|
- NeurIPSBrain Network TransformerProceedings of the Conference on Neural Information Processing Systems 2022Also Presented in Workshop ICML-IMLH 2022 (Oral, no proceedings)
- MIDLFBNetGen: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation (Oral)Medical Imaging with Deep Learning 2022Also Presented in Workshop ICML-IMLH 2021 (no proceedings)
- ECML-PKDDZero-shot Scene Graph Relation Prediction through Commonsense Knowledge IntegrationThe European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2021