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2020 – today
- 2024
[j11]Lihua Zhou
, Guowang Du, Kevin Lü, Lizhen Wang, Jingwei Du:
A Survey and an Empirical Evaluation of Multi-View Clustering Approaches. ACM Comput. Surv. 56(7): 187:1-187:38 (2024)- [j10]Kunjie Dong, Lihua Zhou, Tong Huang, Guowang Du, Yiting Jiang:
Attributed network embedding with dual fusion strategies. J. Exp. Theor. Artif. Intell. 36(7): 1307-1330 (2024) - 2023
- [j9]Guowang Du, Lihua Zhou, Zhongxue Li, Lizhen Wang, Kevin Lü:
Neighbor-aware deep multi-view clustering via graph convolutional network. Inf. Fusion 93: 330-343 (2023) - [j8]Shaowei Qin, Hao Wu, Lihua Zhou, Jiahui Li, Guowang Du:
Learning metric space with distillation for large-scale multi-label text classification. Neural Comput. Appl. 35(15): 11445-11458 (2023) - [j7]Guowang Du, Lihua Zhou, Kevin Lü, Hao Wu, Zhimin Xu:
Multiview Subspace Clustering With Multilevel Representations and Adversarial Regularization. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10279-10293 (2023) - [c9]Yongchao Lu, Bing Kong, Guowang Du, Chongming Bao, Lihua Zhou, Hongmei Chen:
Self-supervised Multi-view Clustering Framework with Graph Filtering and Contrast Fusion. ADMA (4) 2023: 123-138 - 2022
- [c8]Xingzhu Zou, Lihua Zhou, Guowang Du, Lizhen Wang, Yiting Jiang:
Information Diffusion Prediction Based on Deep Attention in Heterogeneous Networks. SpatialDI 2022: 99-112 - [c7]Jingwei Du, Lihua Zhou, Guowang Du, Lizhen Wang, Yiting Jiang:
Heterogeneous Network Representation Learning Based on Adaptive Multi-channel Graph Convolution. SpatialDI 2022: 133-153 - 2021
- [j6]Guowang Du, Lihua Zhou, Yudi Yang, Kevin Lü, Lizhen Wang:
Deep Multiple Auto-Encoder-Based Multi-view Clustering. Data Sci. Eng. 6(3): 323-338 (2021) - [j5]Lihua Zhou, Guowang Du, Kevin Lü, Lizhen Wang:
A network-based sparse and multi-manifold regularized multiple non-negative matrix factorization for multi-view clustering. Expert Syst. Appl. 174: 114783 (2021) - [j4]Guowang Du, Lihua Zhou, Kevin Lü, Haiyan Ding:
Deep multiple non-negative matrix factorization for multi-view clustering. Intell. Data Anal. 25(2): 339-357 (2021) - 2020
- [c6]Guowang Du, Lihua Zhou, Yudi Yang, Kevin Lü, Lizhen Wang:
Multi-view Clustering via Multiple Auto-Encoder. APWeb/WAIM (1) 2020: 612-626 - [c5]Tong Huang, Lihua Zhou, Lizhen Wang, Guowang Du, Kevin Lü:
Attributed Network Embedding with Community Preservation. DSAA 2020: 334-343
2010 – 2019
- 2019
- [j3]Lihua Zhou, Guowang Du, Ruxin Wang, Dapeng Tao, Lizhen Wang, Jun Cheng, Jing Wang:
A tensor framework for geosensor data forecasting of significant societal events. Pattern Recognit. 88: 27-37 (2019) - [c4]Guowang Du, Lihua Zhou, Lizhen Wang, Qing Xiao, Hongmei Chen:
Multi-View Clustering via Nonnegative Matrix Factorization with L21 Norm. FSDM 2019: 363-370 - 2018
- [j2]Lihua Zhou, Guowang Du, Dapeng Tao, Hongmei Chen, Jun Cheng, Libo Gong:
Clustering Multivariate Time Series Data via Multi-Nonnegative Matrix Factorization in Multi-Relational Networks. IEEE Access 6: 74747-74761 (2018) - [j1]Renjian Liao, Lihua Zhou, Qing Xiao, Guowang Du:
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 45(11A): 431-435 (2018) - [c3]Guowang Du, Lihua Zhou, Lizhen Wang, Hongmei Chen:
Multivariate Time Series Clustering via Multi-relational Community Detection in Networks. APWeb/WAIM (1) 2018: 138-145 - [c2]Lihua Zhou, Guowang Du, Qing Xiao, Lizhen Wang:
A Tensor-Based Method for Geosensor Data Forecasting. APWeb/WAIM (2) 2018: 306-313 - [c1]Guowang Du, Lihua Zhou, Yuan Fang, Ming Yang:
Time Series Clustering via NMF in Networks. SERA 2018: 87-92
Coauthor Index
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