zhe

Zhe Xu

Email: zhexu3 [at] illinois (dot) edu


I obtained my Ph.D. from University of Illinois Urbana-Champaign, honorably advised by Dr. Hanghang Tong. My research interest lies in generative modeling and graph machine learning.

Before Ph.D., I spent a wonderful year at Arizona State University. I got my bachelor's degree from Fudan University, supervised by Dr. Yanghua Xiao.

Publications

  1. [Preprint] How to make LLMs strong node classifiers?
    Zhe Xu, Kaveh Hassani, Si Zhang, Hanqing Zeng, Michihiro Yasunaga, Limei Wang, Dongqi Fu, Ning Yao, Bo Long, Hanghang Tong
    [Paper]
  2. [Preprint] Fine-grained Graph Rationalization
    Zhe Xu, Menghai Pan, Yuzhong Chen, Huiyuan Chen, Yuchen Yan, Mahashweta Das, Hanghang Tong
    [Paper]
  3. [Preprint] THeGCN: Temporal Heterophilic Graph Convolutional Network
    Yuchen Yan, Yuzhong Chen, Huiyuan Chen, Xiaoting Li, Zhe Xu, Zhichen Zeng, Zhining Liu, Hanghang Tong
    [Paper]
  4. [Preprint] Learning Optimal Propagation for Graph Neural Networks
    Beidi Zhao, Boxin Du, Zhe Xu, Liangyue Li, Hanghang Tong
    [Paper]
  5. [ICLR'25] Ask, and it shall be given: Turing completeness of prompting
    Ruizhong Qiu, Zhe Xu, Wenxuan Bao, Hanghang Tong
    [Paper]
  6. [NeurIPS'24] Discrete-state Continuous-time Diffusion for Graph Generation
    Zhe Xu, Ruizhong Qiu, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Menghai Pan, Zhichen Zeng, Mahashweta Das, Hanghang Tong
    [Paper] [Code]
  7. [CIKM'24] Graph Anomaly Detection with Adaptive Node Mixup
    Qinghai Zhou, Yuzhong Chen, Zhe Xu, Yuhang Wu, Menghai Pan, Mahashweta Das, Hao Yang, Hanghang Tong
    [Paper]
  8. [ICML'24] Graph Mixup on Approximate Gromov–Wasserstein Geodesics
    Zhichen Zeng, Ruizhong Qiu, Zhe Xu, Zhining Liu, Yuchen Yan, Tianxin Wei, Lei Ying, Jingrui He, Hanghang Tong
    [Paper]
  9. [ICML'24] SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter
    Haobo Xu, Yuchen Yan, Dingsu Wang, Zhe Xu, Zhichen Zeng, Tarek F Abdelzaher, Jiawei Han, Hanghang Tong
    [Paper]
  10. [ICML'24] Class-Imbalanced Graph Learning without Class Rebalancing
    Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong
    [Paper]
  11. [SIGIR'24] Masked Graph Transformer for Large-Scale Recommendation
    Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong
    [Paper]
  12. [KAIS] Generalized Few-Shot Node Classification: Toward an Uncertainty-based Solution
    Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong.
    [Paper] [Code]
  13. [TVCG'23] 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.
    [Paper]
  14. [KDD'23] Kernel Ridge Regression-Based Graph Dataset Distillation
    Zhe Xu, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hao Yang, Hanghang Tong.
    [Paper][Code]
  15. [KDD'23] Node Classification Beyond Homophily: Towards a General Solution
    Zhe Xu, Yuzhong Chen, Qinghai Zhou, Yuhang Wu, Menghai Pan, Hao Yang, Hanghang Tong.
    [Paper][Code]
  16. [WSDM'23] Natural and Artificial Dynamics in GNNs: A Tutorial
    Dongqi Fu, Zhe Xu, Hanghang Tong, Jingrui He
    [Tutorial]
  17. [SIGKDD explorations] Data Augmentation for Deep Graph Learning: A Survey
    Kaize Ding, Zhe Xu, Hanghang Tong, Huan Liu
    [Paper] [Website]
  18. [ICDM'22] Generalized Few-Shot Node Classification
    Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong.
    [Paper] [Code]
  19. [TheWebConf'22] Graph Sanitation with Application to Node Classification
    Zhe Xu, Boxin Du, Hanghang Tong.
    [Paper] [Code]
  20. [CIKM'21] DESTINE: Dense Subgraph Detection on Multi-Layered Networks
    Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Jiejun Xu, Hanghang Tong.
    [Paper] [Code]
  21. [IEEE Big Data'20] Ranking on Network of Heterogeneous Information Networks
    Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Hanghang Tong.
    [Paper]
  22. [CIKM'20] A View-Adversarial Framework for Multi-View Network Embedding
    Dongqi Fu*, Zhe Xu*, Bo Li, Hanghang Tong, Jingrui He.
    [Paper] [Code]
  23. [IJCAI'19] 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.
    [Paper]

Experience