Xuan Kan

Department of Computer Science, Emory University

The one in pink is me :)

N410, 201 Dowman Drive

Atlanta, Georgia 30322

My name is Xuan Kan (้˜š็’‡). I obtained my bachelorโ€™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.

news

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!

selected publications

  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. 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
  3. 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