Zhaowei Liu

According to our database, Zhaowei Liu authored at least 9 papers between 2023 and 2025.

Collaborative distances:

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

2025

BAB-GSL: Using Bayesian influence with attention mechanism to optimize graph structure in basic views.

Zhaowei Liu, Miaosi Xie, Yongchao Song, Lihong Wang, Yunhong Lu, Haiyang Wang, Xiaolong Chen

Neural Networks, 2025

Label completion based concept factorization for incomplete multi-view clustering.

Beihua Yang, Peng Song, Yuanbo Cheng, Zhaowei Liu, Yanwei Yu

Knowl. Based Syst., 2025

Enhanced tensor based embedding anchor learning for multi-view clustering.

Beihua Yang, Peng Song, Yuanbo Cheng, Shixuan Zhou, Zhaowei Liu

Inf. Sci., 2025

DAG-HFC: Dual-domain attention and graph optimization network for heterogeneous graph feature completion.

Yihao Jiang, Zhaowei Liu, Yongchao Song, Yao Shan, Tengjiang Wang, Dong Yang

Expert Syst. Appl., 2025

2024

BI-FedGNN: Federated graph neural networks framework based on Bayesian inference.

Rufei Gao, Zhaowei Liu, Chenxi Jiang, Yingjie Wang, Shenqiang Wang, Pengda Wang

Neural Networks, January, 2024

RA-HGNN: Attribute completion of heterogeneous graph neural networks based on residual attention mechanism.

Zongxing Zhao, Zhaowei Liu, Yingjie Wang, Dong Yang, Weishuai Che

Expert Syst. Appl., 2024

Heterogeneous graphs neural networks based on neighbor relationship filtering.

Zhaowei Liu, Yixian Wang, Shenqiang Wang, Xiangfu Zhao, Haiyang Wang, Haoyu Yin

Expert Syst. Appl., 2024

Adaptive multi-channel Bayesian graph attention network for IoT transaction security.

Zhaowei Liu, Dong Yang, Shenqiang Wang, Hang Su

Digit. Commun. Networks, 2024

2023

RegraphGAN: A graph generative adversarial network model for dynamic network anomaly detection.

Dezhi Guo, Zhaowei Liu, Ranran Li

Neural Networks, September, 2023