Zhaowei Liu

According to our database, Zhaowei Liu authored at least 51 papers between 2016 and 2025.

Collaborative distances:

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

2025

Phishing Detection on Ethereum via Graph Neural Architecture Search of Transaction Subgraph.

Zhaowei Liu, Haitao Yang, Zhizhong Liu, Xiangfu Zhao, Jindong Zhao, Dong Yang, Yao Shan

IEEE Trans. Comput. Soc. Syst., October, 2025

Freq-3DLane: 3D Lane Detection From Monocular Images via Frequency-Aware Feature Fusion.

Yongchao Song, Jiping Bi, Lijun Sun, Zhaowei Liu, Yahong Jiang, Xuan Wang

IEEE Trans. Intell. Transp. Syst., September, 2025

Common Discriminative Latent Space Learning for Cross-Domain Speech Emotion Recognition.

Siqi Fu, Peng Song, Hao Wang, Zhaowei Liu, Wenming Zheng

IEEE Trans. Comput. Soc. Syst., August, 2025

Lane Detection for Autonomous Driving: Comprehensive Reviews, Current Challenges, and Future Predictions.

Jiping Bi, Yongchao Song, Yahong Jiang, Lijun Sun, Xuan Wang, Zhaowei Liu, Jindong Xu, Siwen Quan, Zhe Dai, Weiqing Yan

IEEE Trans. Intell. Transp. Syst., May, 2025

Improving Optical Remote Sensing Image Quality Through Random Degradation and Adaptive Fusion Super-Resolution Networks.

Lijun Sun, Jiping Bi, Yongchao Song, Zhaowei Liu, Xuan Wang

IEEE Trans. Geosci. Remote. Sens., 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

Personalized multimodal sentiment analysis under uncertain modalities missing via pretraining and online learning.

Hongxiang Sun, Zhizhong Liu, Dianhui Chu, Quan Z. Sheng, Zhaowei Liu, Jian 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

Deep learning for hyperspectral image classification: A comprehensive review and future predictions.

Yongchao Song, Junhao Zhang, Zhaowei Liu, Yang Xu, Siwen Quan, Lijun Sun, Jiping Bi, Xuan Wang

Inf. Fusion, 2025

Weighted tensor-based consistent anchor graph learning for multi-view clustering.

Guanghao Du, Peng Song, Yuanbo Cheng, Zhaowei Liu, Yanwei Yu, Wenming Zheng

Neurocomputing, 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

Parallel graph neural architecture search optimization with incomplete features.

Haitao Yang, Zhaowei Liu, Dong Yang, Lihong Wang

Appl. Soft Comput., 2025

A Bayesian graph structure inference neural network based on adaptive connection sampling.

Mingjie Lu, Zhaowei Liu, Pengda Wang, Haiyang Wang, Dong Yang

Appl. Soft Comput., 2025

2024

Graph Structure Learning With Automatic Search of Hyperparameters Based on Genetic Programming.

Pengda Wang, Mingjie Lu, Weiqing Yan, Dong Yang, Zhaowei Liu

IEEE Trans. Emerg. Top. Comput. Intell., December, 2024

Enhancing Worker Recruitment in Collaborative Mobile Crowdsourcing: A Graph Neural Network Trust Evaluation Approach.

Zhongwei Zhan, Yingjie Wang, Peiyong Duan, Akshita Maradapu Vera Venkata Sai, Zhaowei Liu, Chaocan Xiang, Xiangrong Tong, Weilong Wang, Zhipeng Cai

IEEE Trans. Mob. Comput., October, 2024

Diversity-Induced Bipartite Graph Fusion for Multiview Graph Clustering.

Weiqing Yan, Xinying Zhao, Guanghui Yue, Jinlai Ren, Jindong Xu, Zhaowei Liu, Chang Tang

IEEE Trans. Emerg. Top. Comput. Intell., June, 2024

Mobile Crowdsourcing Quality Control Method Based on Four-Party Evolutionary Game in Edge Cloud Environment.

Ying Zhao, Yingjie Wang, Peiyong Duan, Haijing Zhang, Zhaowei Liu, Xiangrong Tong, Zhipeng Cai

IEEE Trans. Comput. Soc. Syst., June, 2024

Multiattribute E-CARGO Task Assignment Model Based on Adaptive Heterogeneous Residual Networks.

Zhaowei Liu, Zongxing Zhao

IEEE Trans. Comput. Soc. Syst., June, 2024

A Reinforcement Learning-Based Incentive Mechanism for Task Allocation Under Spatiotemporal Crowdsensing.

Kaige Jiang, Yingjie Wang, Haipeng Wang, Zhaowei Liu, Qilong Han, Ao Zhou, Chaocan Xiang, Zhipeng Cai

IEEE Trans. Comput. Soc. Syst., April, 2024

A Personalized Location Privacy Protection System in Mobile Crowdsourcing.

Chenghao Zhang, Yingjie Wang, Weilong Wang, Haijing Zhang, Zhaowei Liu, Xiangrong Tong, Zhipeng Cai

IEEE Internet Things J., March, 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

Adaptive Attention-Based Graph Representation Learning to Detect Phishing Accounts on the Ethereum Blockchain.

Haojie Sun, Zhaowei Liu, Shenqiang Wang, Haiyang Wang

IEEE Trans. Netw. Sci. Eng., 2024

Human-Robot Collaboration Through a Multi-Scale Graph Convolution Neural Network With Temporal Attention.

Zhaowei Liu, Xilang Lu, Wenzhe Liu, Wen Qi, Hang Su

IEEE Robotics Autom. Lett., 2024

Adaptive multi-channel Bayesian Graph Neural Network.

Dong Yang, Zhaowei Liu, Yingjie Wang, Jindong Xu, Weiqing Yan, Ranran Li

Neurocomputing, 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

Consensus and discriminative non-negative matrix factorization for multi-view unsupervised feature selection.

Meng Duan, Peng Song, Shixuan Zhou, Jinshuai Mu, Zhaowei Liu

Digit. Signal Process., 2024

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

Zhaowei Liu, Dong Yang, Shenqiang Wang, Hang Su

Digit. Commun. Networks, 2024

Graph generative adversarial networks with evolutionary algorithm.

Pengda Wang, Zhaowei Liu, Zhanyu Wang, Zongxing Zhao, Dong Yang, Weiqing Yan

Appl. Soft Comput., 2024

2023

Ensuring security in edge computing through effective blockchain node detection.

Shenqiang Wang, Zhaowei Liu, Haiyang Wang, Jianping Wang

J. Cloud Comput., December, 2023

A large-scale data security detection method based on continuous time graph embedding framework.

Zhaowei Liu, Weishuai Che, Shenqiang Wang, Jindong Xu, Haoyu Yin

J. Cloud Comput., December, 2023

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

Dezhi Guo, Zhaowei Liu, Ranran Li

Neural Networks, September, 2023

Planning-based mobile crowdsourcing bidirectional multi-stage online task assignment.

Xinhao Li, Yingjie Wang, Bingyi Xie, Lingkang Meng, Zhaowei Liu, Xiangrong Tong, Ao Zhou, Zhipeng Cai

Comput. Networks, September, 2023

SSANet: An Adaptive Spectral-Spatial Attention Autoencoder Network for Hyperspectral Unmixing.

Jie Wang, Jindong Xu, Qianpeng Chong, Zhaowei Liu, Weiqing Yan, Haihua Xing, Qianguo Xing, Meng-ying Ni

Remote. Sens., April, 2023

Graph-filtering and high-order bipartite graph based multiview graph clustering.

Xinying Zhao, Weiqing Yan, Jinlai Ren, Jindong Xu, Zhaowei Liu, Guanghui Yue, Chang Tang

Digit. Signal Process., March, 2023

EGNN: Graph structure learning based on evolutionary computation helps more in graph neural networks.

Zhaowei Liu, Dong Yang, Yingjie Wang, Mingjie Lu, Ranran Li

Appl. Soft Comput., March, 2023

Heterogeneous Network Representation Learning Approach for Ethereum Identity Identification.

Yixian Wang, Zhaowei Liu, Jindong Xu, Weiqing Yan

IEEE Trans. Comput. Soc. Syst., 2023

Internet Financial Fraud Detection Based on Graph Learning.

Ranran Li, Zhaowei Liu, Yuanqing Ma, Dong Yang, Shuaijie Sun

IEEE Trans. Comput. Soc. Syst., 2023

Deep Video Stabilization via Robust Homography Estimation.

Weiqing Yan, Yiqiu Sun, Wujie Zhou, Zhaowei Liu, Runmin Cong

IEEE Signal Process. Lett., 2023

Collaborative structure and feature learning for multi-view clustering.

Weiqing Yan, Meiqi Gu, Jinlai Ren, Guanghui Yue, Zhaowei Liu, Jindong Xu, Weisi Lin

Inf. Fusion, 2023

Efficient Recruitment Strategy for Collaborative Mobile Crowd Sensing Based on GCN Trustworthiness Prediction.

Zhongwei Zhan, Yingjie Wang, Peiyong Duan, Akshita Maradapu Vera Venkata Sai, Zhaowei Liu, Chaocan Xiang, Xiangrong Tong, Weilong Wang, Zhipeng Cai

CoRR, 2023

2022

Single image dehazing using generative adversarial networks based on an attention mechanism.

Yongli Ma, Jindong Xu, Fei Jia, Weiqing Yan, Zhaowei Liu, Meng-ying Ni

IET Image Process., 2022

Task assignment for hybrid scenarios in spatial crowdsourcing: A Q-Learning-based approach.

Mingze Wang, Yingjie Wang, Akshita Maradapu Vera Venkata Sai, Zhaowei Liu, Yang Gao, Xiangrong Tong, Zhipeng Cai

Appl. Soft Comput., 2022

2021

A fuzzy spectral clustering algorithm for hyperspectral image classification.

Kang Li, Jindong Xu, Tianyu Zhao, Zhaowei Liu

IET Image Process., 2021

2020

Two-Layer Pulsewidth Modulation Strategy for Common-Mode Voltage and Current Harmonic Distortion Reduction in Vienna Rectifier.

Xiangyang Xing, Xiaoyan Li, Changwei Qin, Zhaowei Liu, Chenghui Zhang

IEEE Trans. Ind. Electron., 2020

Remote Sensing Image Fusion Based on Multi-morphological Convolutional Neural Network.

Meng Zhu, Jindong Xu, Zhaowei Liu

Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

Structure Learning of CP-nets Based on Constraint and Scoring Search.

Yang Zhu, Zhaowei Liu, Yuanqing Ma

Proceedings of the 13th International Congress on Image and Signal Processing, 2020

2018

Cutting Cycles of Conditional Preference Networks with Feedback Set Approach.

Zhaowei Liu, Ke Li, Xinxin He

Comput. Intell. Neurosci., 2018

Structure Learning of Conditional Preference Networks Based on Dependent Degree of Attributes From Preference Database.

Zhaowei Liu, Zhaolin Zhong, Ke Li, Chenghui Zhang

IEEE Access, 2018

2016

MR-Swarm: Mining Swarms from Big Spatio-Temporal Trajectories Using MapReduce.

Yanwei Yu, Jianpeng Qi, Yunhui Lu, Yonggang Zhang, Zhaowei Liu

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016