zhe

Zhe Xu

Email: zhexu3 [at] illinois (dot) edu


I am a Ph.D. student from University of Illinois Urbana-Champaign, under the supervision of my great advisor Dr. Hanghang Tong. My research interest lies in graph machine learning under various settings such as heterogeneous networks, few-shot learning, and graph data augmentation.

Before moving to UIUC, I spent a wonderful year at Arizona State University. I got my bachelor's degree from Fudan University, under the supervision of Dr. Yanghua Xiao.

Publications

  1. Learning Optimal Propagation for Graph Neural Networks
    Beidi Zhao, Boxin Du, Zhe Xu, Liangyue Li, Hanghang Tong
    Preprint.
    [Paper]
  2. Generalized Few-Shot Node Classification: Toward an Uncertainty-based Solution
    Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong.
    Knowledge and Information Systems (KAIS).
    [Paper] [code]
  3. Calliope-Net: Automatic Generation of Graph Data Facts via Annotated Node-link Diagrams
    Qing Chen, Nan Chen, Guande Wu, Ziyan Liu, Zhe Xu, Hanghang Tong, and Nan Cao.
    IEEE Transactions on Visualization and Computer Graphics 2023. (TVCG).
    [Paper]
  4. Kernel Ridge Regression-Based Graph Dataset Distillation
    Zhe Xu, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hao Yang, Hanghang Tong.
    ACM Special Interest Group on Knowledge Discovery and Data Mining (KDD) 2023.
    [Paper][code]
  5. Node Classification Beyond Homophily: Towards a General Solution
    Zhe Xu, Yuzhong Chen, Qinghai Zhou, Yuhang Wu, Menghai Pan, Hao Yang, Hanghang Tong.
    ACM Special Interest Group on Knowledge Discovery and Data Mining (KDD) 2023.
    [Paper][code]
  6. Natural and Artificial Dynamics in GNNs: A Tutorial
    Dongqi Fu, Zhe Xu, Hanghang Tong, Jingrui He
    The ACM International Conference on Web Search and Data Mining (WSDM) 2023.
    [Tutorial]
  7. Data Augmentation for Deep Graph Learning: A Survey
    Kaize Ding, Zhe Xu, Hanghang Tong, Huan Liu
    SIGKDD explorations 2022.
    [Paper] [website]
  8. Generalized Few-Shot Node Classification
    Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong.
    International Conference on Data Mining (ICDM) 2022.
    [Paper] [code]
  9. Graph Sanitation with Application to Node Classification
    Zhe Xu, Boxin Du, Hanghang Tong.
    The ACM Web Conference (TheWebConf) 2022.
    [Paper] [code]
  10. DESTINE: Dense Subgraph Detection on Multi-Layered Networks
    Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Jiejun Xu, Hanghang Tong.
    International Conference on Information & Knowledge Management (CIKM) 2021.
    [Paper] [code]
  11. Ranking on Network of Heterogeneous Information Networks
    Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Hanghang Tong.
    International Conference on Big Data (Big Data) 2020.
    [Paper]
  12. A View-Adversarial Framework for Multi-View Network Embedding
    Dongqi Fu*, Zhe Xu*, Bo Li, Hanghang Tong, Jingrui He.
    International Conference on Information & Knowledge Management (CIKM) 2020.
    [Paper] [code]
  13. Relation Extraction Using Supervision from Topic Knowledge of Relation Labels
    Haiyun Jiang, Li Cui, Zhe Xu, Deqing Yang, Jindong Chen, Chenguang Li, Jingping Liu, Jiaqing Liang, Chao Wang, Yanghua Xiao, Wei Wang.
    International Joint Conference on Artificial Intelligence (IJCAI) 2019.
    [Paper]

Experience