Multivariate Time Series Clustering via Multi-relational Community Detection in Networks. - Guowang Du; Lihua Zhou; Lizhen Wang 001; Hongmei Chen 003 (APWeb/WAIM (1), 2018)

A Tensor-Based Method for Geosensor Data Forecasting. - Lihua Zhou; Guowang Du; Qing Xiao; Lizhen Wang 001 (APWeb/WAIM (2), 2018)

Time Series Clustering via NMF in Networks. - Guowang Du; Lihua Zhou; Yuan Fang; Ming Yang 041 (SERA, 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 002; Libo Gong (IEEE Access, 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)

Multi-View Clustering via Nonnegative Matrix Factorization with L21 Norm. - Guowang Du; Lihua Zhou; Lizhen Wang 001; Qing Xiao; Hongmei Chen 003 (FSDM, 2019)

A tensor framework for geosensor data forecasting of significant societal events. - Lihua Zhou; Guowang Du; Ruxin Wang 002; Dapeng Tao; Lizhen Wang 001; Jun Cheng 002; Jing Wang (Pattern Recognit., 2019)

Multi-view Clustering via Multiple Auto-Encoder. - Guowang Du; Lihua Zhou; Yudi Yang; Kevin Lü 001; Lizhen Wang 001 (APWeb/WAIM (1), 2020)

Attributed Network Embedding with Community Preservation. - Tong Huang; Lihua Zhou; Lizhen Wang 001; Guowang Du; Kevin Lü 001 (DSAA, 2020)

Deep Multiple Auto-Encoder-Based Multi-view Clustering. - Guowang Du; Lihua Zhou; Yudi Yang; Kevin Lü 001; Lizhen Wang 001 (Data Sci. Eng., 2021)

A network-based sparse and multi-manifold regularized multiple non-negative matrix factorization for multi-view clustering. - Lihua Zhou; Guowang Du; Kevin Lü 001; Lizhen Wang 001 (Expert Syst. Appl., 2021)

Deep multiple non-negative matrix factorization for multi-view clustering. - Guowang Du; Lihua Zhou; Kevin Lü 001; Haiyan Ding (Intell. Data Anal., 2021)

Heterogeneous Network Representation Learning Based on Adaptive Multi-channel Graph Convolution. - Jingwei Du; Lihua Zhou; Guowang Du; Lizhen Wang 001; Yiting Jiang (SpatialDI, 2022)

Information Diffusion Prediction Based on Deep Attention in Heterogeneous Networks. - Xingzhu Zou; Lihua Zhou; Guowang Du; Lizhen Wang 001; Yiting Jiang (SpatialDI, 2022)

Self-supervised Multi-view Clustering Framework with Graph Filtering and Contrast Fusion. - Yongchao Lu; Bing Kong; Guowang Du; Chongming Bao; Lihua Zhou; Hongmei Chen 003 (ADMA (4), 2023)

Neighbor-aware deep multi-view clustering via graph convolutional network. - Guowang Du; Lihua Zhou; Zhongxue Li; Lizhen Wang 001; Kevin Lü 001 (Inf. Fusion, 2023)

Learning metric space with distillation for large-scale multi-label text classification. - Shaowei Qin; Hao Wu 010; Lihua Zhou; Jiahui Li; Guowang Du (Neural Comput. Appl., 2023)

Multiview Subspace Clustering With Multilevel Representations and Adversarial Regularization. - Guowang Du; Lihua Zhou; Kevin Lü 001; Hao Wu 010; Zhimin Xu (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Survey and an Empirical Evaluation of Multi-View Clustering Approaches. - Lihua Zhou; Guowang Du; Kevin Lü 001; Lizhen Wang 001; Jingwei Du (ACM Comput. Surv., 2024)

Attributed network embedding with dual fusion strategies. - Kunjie Dong; Lihua Zhou; Tong Huang; Guowang Du; Yiting Jiang (J. Exp. Theor. Artif. Intell., 2024)

An Empirical Evaluation of Algorithms for Link Prediction. - Tong Huang; Lihua Zhou; Kevin Lü 001; Lizhen Wang 001; Hongmei Chen 003; Guowang Du (Inf. Syst. Frontiers, 2025)