Zhaowei Liu

According to our database, Zhaowei Liu authored at least 44 papers between 2016 and 2024.

Collaborative distances:

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

2024

An Energy Management Method for Magnetic Field Energy Harvesters Under Wide-Range Current in Railway Electrification Systems.

Zhaowei Liu, Yong Li, Na Duan, Zhengyou He

IEEE Trans. Ind. Electron., May, 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

Research on the Transformation Path of DevOps in the Digital Era.

Xiaoling Niu, Lingling Yang, Kailing Liu, Zhaowei Liu

Proceedings of the 26th International Conference on Advanced Communications Technology, 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

Impedance-Matching-Based Maximum Power Tracking for Magnetic Field Energy Harvesters Using Active Rectifiers.

Yong Li, Na Duan, Zhaowei Liu, Jiefeng Hu, Zhengyou He

IEEE Trans. Ind. Electron., October, 2023

Reducing inconsistencies of FAHP in structural safety assessment of diversion tunnels.

Kang Liu, Yongcan Chen, Haoran Wang, Hui Xie, Zhaowei Liu

Appl. Soft Comput., October, 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

An Accurate Power Model and High Power Density Design Method of Free-Standing Magnetic Field Energy Harvesters With H-Shaped Core.

Huanyu Yang, Yong Li, Zhaowei Liu, Haijun Luo, Yihua Yan, Zhengyou He

IEEE Trans. Ind. Electron., August, 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

An Accurate Model of Magnetic Energy Harvester in the Saturated Region for Harvesting Maximum Power: Analysis, Design, and Experimental Verification.

Zhaowei Liu, Yong Li, Huanyu Yang, Na Duan, Zhengyou He

IEEE Trans. Ind. Electron., 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

FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models.

Liwen Zhang, Weige Cai, Zhaowei Liu, Zhi Yang, Wei Dai, Yujie Liao, Qianru Qin, Yifei Li, Xingyu Liu, Zhiqiang Liu, Zhoufan Zhu, Anbo Wu, Xin Guo, Yun Chen

CoRR, 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

Computational bifurcation analysis of hyperelastic thin shells.

Zhaowei Liu, Andrew McBride, Abhishek Ghosh, Luca Heltai, Weicheng Huang, Tiantang Yu, Paul Steinmann, Prashant Saxena

CoRR, 2022

Untrained, physics-informed neural networks for structured illumination microscopy.

Zachary Burns, Zhaowei Liu

CoRR, 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

Neural representations of imagined speech revealed by frequency-tagged magnetoencephalography responses.

Lingxi Lu, Jingwei Sheng, Zhaowei Liu, Jia-Hong Gao

NeuroImage, 2021

A fuzzy spectral clustering algorithm for hyperspectral image classification.

Kang Li, Jindong Xu, Tianyu Zhao, Zhaowei Liu

IET Image Process., 2021

Vibration Analysis of Piezoelectric Kirchhoff-Love Shells based on Catmull-Clark Subdivision Surfaces.

Zhaowei Liu, Andrew McBride, Prashant Saxena, Luca Heltai, Yilin Qu, Paul Steinmann

CoRR, 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

Spatial Co-Location Pattern Mining Based on Hesitant Fuzzy Location.

Minhui Huang, Bo Wei, Zhaowei Liu

Proceedings of the ICITEE2020: The 3rd International Conference on Information Technologies and Electrical Engineering, 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

2019

Learning Intra-Video Difference for Person Re-Identification.

Wei Zhang, Yimeng Li, Weizhi Lu, Xinshun Xu, Zhaowei Liu, Xiangyang Ji

IEEE Trans. Circuits Syst. Video Technol., 2019

Aspects of Isogeometric Analysis with Catmull-Clark Subdivision Surfaces.

Zhaowei Liu, Andrew McBride, Prashant Saxena, Paul Steinmann

CoRR, 2019

2018

An isogeometric boundary element method for electromagnetic scattering with compatible B-spline discretizations.

R. N. Simpson, Zhaowei Liu, Rafael Vázquez Hernández, J. A. Evans

J. Comput. Phys., 2018

Cutting Cycles of Conditional Preference Networks with Feedback Set Approach.

Zhaowei Liu, Ke Li, Xinxin He

Comput. Intell. Neurosci., 2018

Learning CP-Nets Structure From Preference Data Streams.

Zhaowei Liu, Zhaolin Zhong, Chenghui Zhang, Yanwei Yu, Jinglei Liu

IEEE Access, 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

Effect of bending deformation on flight dynamics of a high-aspect-ratio flying wing.

Zhaowei Liu, Zhongxi Hou, Wenkai Wang

Proceedings of the 2016 IEEE International Conference on Robotics and Biomimetics, 2016

Modelling and simulation of flight dynamics for a gull-wing.

Tianhao Guo, Zhongxi Hou, Zhaowei Liu

Proceedings of the 2016 IEEE International Conference on Robotics and Biomimetics, 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