Guowang Du

According to our database, Guowang Du authored at least 20 papers between 2018 and 2024.

Collaborative distances:

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

2024

Attributed network embedding with dual fusion strategies.

Kunjie Dong, Lihua Zhou, Tong Huang, Guowang Du, Yiting Jiang

J. Exp. Theor. Artif. Intell., October, 2024

A Survey and an Empirical Evaluation of Multi-View Clustering Approaches.

Lihua Zhou, Guowang Du, Kevin Lü, Lizhen Wang, Jingwei Du

ACM Comput. Surv., July, 2024

2023

Multiview Subspace Clustering With Multilevel Representations and Adversarial Regularization.

Guowang Du, Lihua Zhou, Kevin Lü, Hao Wu, Zhimin Xu

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Learning metric space with distillation for large-scale multi-label text classification.

Shaowei Qin, Hao Wu, Lihua Zhou, Jiahui Li, Guowang Du

Neural Comput. Appl., May, 2023

Neighbor-aware deep multi-view clustering via graph convolutional network.

Guowang Du, Lihua Zhou, Zhongxue Li, Lizhen Wang, Kevin Lü

Inf. Fusion, May, 2023

Self-supervised Multi-view Clustering Framework with Graph Filtering and Contrast Fusion.

Yongchao Lu, Bing Kong, Guowang Du, Chongming Bao, Lihua Zhou, Hongmei Chen

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

Information Diffusion Prediction Based on Deep Attention in Heterogeneous Networks.

Xingzhu Zou, Lihua Zhou, Guowang Du, Lizhen Wang, Yiting Jiang

Proceedings of the Spatial Data and Intelligence - Third International Conference, 2022

Heterogeneous Network Representation Learning Based on Adaptive Multi-channel Graph Convolution.

Jingwei Du, Lihua Zhou, Guowang Du, Lizhen Wang, Yiting Jiang

Proceedings of the Spatial Data and Intelligence - Third International Conference, 2022

2021

Deep multiple non-negative matrix factorization for multi-view clustering.

Guowang Du, Lihua Zhou, Kevin Lü, Haiyan Ding

Intell. Data Anal., 2021

A network-based sparse and multi-manifold regularized multiple non-negative matrix factorization for multi-view clustering.

Lihua Zhou, Guowang Du, Kevin Lü, Lizhen Wang

Expert Syst. Appl., 2021

Deep Multiple Auto-Encoder-Based Multi-view Clustering.

Guowang Du, Lihua Zhou, Yudi Yang, Kevin Lü, Lizhen Wang

Data Sci. Eng., 2021

2020

Attributed Network Embedding with Community Preservation.

Tong Huang, Lihua Zhou, Lizhen Wang, Guowang Du, Kevin Lü

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Multi-view Clustering via Multiple Auto-Encoder.

Guowang Du, Lihua Zhou, Yudi Yang, Kevin Lü, Lizhen Wang

Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2019

A tensor framework for geosensor data forecasting of significant societal events.

Lihua Zhou, Guowang Du, Ruxin Wang, Dapeng Tao, Lizhen Wang, Jun Cheng, Jing Wang

Pattern Recognit., 2019

Multi-View Clustering via Nonnegative Matrix Factorization with L₂₁ Norm.

Guowang Du, Lihua Zhou, Lizhen Wang, Qing Xiao, Hongmei Chen

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).

Renjian Liao, Lihua Zhou, Qing Xiao, Guowang Du

计算机科学, 2018

Clustering Multivariate Time Series Data via Multi-Nonnegative Matrix Factorization in Multi-Relational Networks.

Lihua Zhou, Guowang Du, Dapeng Tao, Hongmei Chen, Jun Cheng, Libo Gong

IEEE Access, 2018

Time Series Clustering via NMF in Networks.

Guowang Du, Lihua Zhou, Yuan Fang, Ming Yang

Proceedings of the 16th IEEE International Conference on Software Engineering Research, 2018

A Tensor-Based Method for Geosensor Data Forecasting.

Lihua Zhou, Guowang Du, Qing Xiao, Lizhen Wang

Proceedings of the Web and Big Data - Second International Joint Conference, 2018

Multivariate Time Series Clustering via Multi-relational Community Detection in Networks.

Guowang Du, Lihua Zhou, Lizhen Wang, Hongmei Chen

Proceedings of the Web and Big Data - Second International Joint Conference, 2018