Guowang Du

Orcid: 0000-0002-8109-7152

According to our database1, Guowang Du authored at least 18 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Multiview Subspace Clustering With Multilevel Representations and Adversarial Regularization.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Learning metric space with distillation for large-scale multi-label text classification.
Neural Comput. Appl., May, 2023

Neighbor-aware deep multi-view clustering via graph convolutional network.
Inf. Fusion, May, 2023

Self-supervised Multi-view Clustering Framework with Graph Filtering and Contrast Fusion.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
Information Diffusion Prediction Based on Deep Attention in Heterogeneous Networks.
Proceedings of the Spatial Data and Intelligence - Third International Conference, 2022

Heterogeneous Network Representation Learning Based on Adaptive Multi-channel Graph Convolution.
Proceedings of the Spatial Data and Intelligence - Third International Conference, 2022

2021
Deep multiple non-negative matrix factorization for multi-view clustering.
Intell. Data Anal., 2021

A network-based sparse and multi-manifold regularized multiple non-negative matrix factorization for multi-view clustering.
Expert Syst. Appl., 2021

Deep Multiple Auto-Encoder-Based Multi-view Clustering.
Data Sci. Eng., 2021

2020
Attributed Network Embedding with Community Preservation.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Multi-view Clustering via Multiple Auto-Encoder.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2019
A tensor framework for geosensor data forecasting of significant societal events.
Pattern Recognit., 2019

Multi-View Clustering via Nonnegative Matrix Factorization with L<sub>21</sub> Norm.
Proceedings of the Fuzzy Systems and Data Mining V, 2019

2018
基于knnVAR模型的地理传感数据预测 (Prediction of Geosensor Data Based on knnVAR Model).
计算机科学, 2018

Clustering Multivariate Time Series Data via Multi-Nonnegative Matrix Factorization in Multi-Relational Networks.
IEEE Access, 2018

Time Series Clustering via NMF in Networks.
Proceedings of the 16th IEEE International Conference on Software Engineering Research, 2018

A Tensor-Based Method for Geosensor Data Forecasting.
Proceedings of the Web and Big Data - Second International Joint Conference, 2018

Multivariate Time Series Clustering via Multi-relational Community Detection in Networks.
Proceedings of the Web and Big Data - Second International Joint Conference, 2018


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