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ORCIDZhaowei Liu 0001
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Other persons with the same name
- Zhaowei Liu — disambiguation page
- Zhaowei Liu 0002
![[0000-0003-0179-815X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0179-815X")
- Zhaowei Liu 0003
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2020 – today
- 2025
[j9]Yihao Jiang, Zhaowei Liu, Yongchao Song, Yao Shan, Tengjiang Wang, Dong Yang:
DAG-HFC: Dual-domain attention and graph optimization network for heterogeneous graph feature completion. Expert Syst. Appl. 278: 127293 (2025)- [j8]Beihua Yang, Peng Song, Yuanbo Cheng, Shixuan Zhou, Zhaowei Liu:
Enhanced tensor based embedding anchor learning for multi-view clustering. Inf. Sci. 690: 121532 (2025) - [j7]Beihua Yang, Peng Song, Yuanbo Cheng, Zhaowei Liu, Yanwei Yu:
Label completion based concept factorization for incomplete multi-view clustering. Knowl. Based Syst. 310: 112953 (2025) - [j6]Zhaowei Liu, Miaosi Xie, Yongchao Song, Lihong Wang, Yunhong Lu, Haiyang Wang, Xiaolong Chen:
BAB-GSL: Using Bayesian influence with attention mechanism to optimize graph structure in basic views. Neural Networks 181: 106785 (2025) - 2024
- [j5]Zhaowei Liu, Dong Yang, Shenqiang Wang, Hang Su:
Adaptive multi-channel Bayesian graph attention network for IoT transaction security. Digit. Commun. Networks 10(3): 631-644 (2024) - [j4]Zhaowei Liu, Yixian Wang, Shenqiang Wang, Xiangfu Zhao, Haiyang Wang, Haoyu Yin:
Heterogeneous graphs neural networks based on neighbor relationship filtering. Expert Syst. Appl. 239: 122489 (2024) - [j3]Zongxing Zhao, Zhaowei Liu, Yingjie Wang, Dong Yang, Weishuai Che:
RA-HGNN: Attribute completion of heterogeneous graph neural networks based on residual attention mechanism. Expert Syst. Appl. 243: 122945 (2024) - [j2]Rufei Gao, Zhaowei Liu, Chenxi Jiang, Yingjie Wang, Shenqiang Wang, Pengda Wang:
BI-FedGNN: Federated graph neural networks framework based on Bayesian inference. Neural Networks 169: 143-153 (2024) - 2023
- [j1]Dezhi Guo, Zhaowei Liu, Ranran Li:
RegraphGAN: A graph generative adversarial network model for dynamic network anomaly detection. Neural Networks 166: 273-285 (2023)
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