Zenghui Xu

According to our database, Zenghui Xu authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A graph-powered large-scale fraud detection system.

Zhao Li, Biao Wang, Jiaming Huang, Yilun Jin, Zenghui Xu, Ji Zhang, Jianliang Gao

Int. J. Mach. Learn. Cybern., January, 2024

A Novel Multi-scale Spatiotemporal Graph Neural Network for Epidemic Prediction.

Zenghui Xu, Mingzhang Li, Ting Yu, Linlin Hou, Peng Zhang, Rage Uday Kiran, Zhao Li, Ji Zhang

Proceedings of the Database and Expert Systems Applications, 2024

2023

Research on the Characteristic Spectral Band Determination for Water Quality Parameters Retrieval Based on Satellite Hyperspectral Data.

Xietian Xia, Hui Lu, Zenghui Xu, Xiang Li, Yu Tian

Remote. Sens., December, 2023

Irregularly Sampled Multivariate Time Series Classification: A Graph Learning Approach.

Zhen Wang, Ting Jiang, Zenghui Xu, Ji Zhang, Jianliang Gao

IEEE Intell. Syst., 2023

Uncovering Multivariate Structural Dependency for Analyzing Irregularly Sampled Time Series.

Zhen Wang, Ting Jiang, Zenghui Xu, Jianliang Gao, Ou Wu, Ke Yan, Ji Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Research on the Preparation Method and Performance Analysis of Insulation Components Suitable for High-voltage Switchgear.

Zhenwei Guo, Zenghui Xu, Hui Zhang, Yingchun Yang, Yang He, Chengfeng Liu

Proceedings of the IEEE Sustainable Power and Energy Conference, 2023

2022

IDGMS: a One-Stop Graph Mining System for Infectious Diseases.

Zenghui Xu, Ting Yu, Xingyun Hong, Mingzhang Li, Yang Zhang, Zujie Ren, Ji Zhang

Proceedings of the IEEE International Conference on Big Data, 2022

Event Detection from Web Data in Chinese Based on Bi-LSTM with Attention.

Yuxin Wu, Zenghui Xu, Hongzhou Li, Yuquan Gan, Josh Jia-Ching Ying, Ting Yu, Ji Zhang

Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

2020

Effective Tuple-based Anonymization for Massive Streaming Categorical Data.

Qiqiang Xu, Ji Zhang, Zenghui Xu, Yonglong Luo, Fulong Chen, Xiaoyao Zheng, Gaoming Yang

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020