刘兆伟｜烟台大学｜学者主页

2026

ATGFB-MFF: Adaptive Text-Guided Fiber Bundle Feature Fusion with LLMs for Multimodal Sentiment Analysis and Emotion Recognition in Conversations

Zhaowei Liu, Sheng Liu, Wei-Qing Yan, Peng Song, Yongchao Song, Rufei Gao

The Web Conference

DOI

2026

Wavelet Spectral–Spatial Mamba Network for Hyperspectral Image Classification

Junhao Zhang, Yongchao Song, Zhaowei Liu, Weiqing Yan, Zengmao Wang, Xuan Wang

IEEE Transactions on Circuits and Systems for Video Technology

DOI

2026

Collaborative Subgraph Learning based Spectrum Sensing under Partial Observations

Zhaowei Liu, Chang Liu, Dong Lin Yang, Weiqing Yan, Yongchao Song, Anzuo Jiang

ACM Web Conference (WWW)

DOI

2026

DA-DFGAS:Differentiable Federated Graph Neural Architecture Search with Distribution-Aware Attentive Aggregation

Zhaowei Liu, Yihao Jiang, Rufei Gao, Jinglei Liu, Dong Yang

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2026

Multi-dimensional Adaptive Mix-hop Contextual Learning Framework for Universal Graph Anomaly Detection

Zhaowei Liu, Leilei Jiang, Haitao Yang

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2026

Fusion decomposition and backbone gathering based multimodal sentiment analysis under uncertain missing modalities

Hongxiang Sun, Zhizhong Liu, Zhizhong Liu, Dianhui Chu, Quan Z. Sheng, Zhaowei Liu, Zhaowei Liu, Yingjie Wang, Adnan Mahmood

Information Processing & Management

DOI

2026

Dynamic Graph Consistent Weighted Subspace Learning for Cross-Domain Speech Emotion Recognition

Yifan Wang, Peng Song, Siqi Fu, Zhaowei Liu, Chenxi Wang, Wenming Zheng

IEEE Transactions on Computational Social Systems

DOI

2026

GLF-Net: Global-local fusion network for radar signal modulation recognition

Xingnong Liu, Xiaolin Du, Xiaolong Chen, Guolong Cui, Jibin Zheng, Wenming Ma, Jinglei Liu, Zhaowei Liu, Weiqing Yan

Expert Systems with Applications

DOI

2026

Dynamic Riemannian Geometry Relational Distillation for Lightweight 3D Object Detection

Changhong Bu, Weiqing Yan, Zhaowei Liu, Yongchao Song, Chang Tang

IEEE Transactions on Artificial Intelligence

DOI

2026

Mamba-Enhanced Lightweight Remote Sensing Object Detection

Jiyang Dong, Peipei Song, Yongchao Song, Xuan Wang, Zhaowei Liu, Weiqing Yan

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

DOI

2026

Hybrid Conditional Diffusion With Implicit Repair for Incomplete Multiview Clustering

Weiqing Yan, Kanglong Liu, Chang Tang, Zhaowei Liu

IEEE Transactions on Neural Networks and Learning Systems

DOI

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 Systems With Applications，Vol. 278

DOI

2025

Multi-view subspace clustering via slack consistency and double-side orthogonal diversity

Yixuan Luo, Wenming Ma, Shudong Liu, Xiangrong Tong, Xiaolin Du, Zhaowei Liu, Mingqi Li, Hongwei Jiang

Expert Systems With Applications，Vol. 277

DOI

2025

Robust structure-preservation tensorized representation for multi-view unsupervised feature selection

Chen Wang, Peng Song, Chang-Jia Wang, Beihua Yang, Zhaowei Liu

Neural Networks

DOI

2025

Label completion based concept factorization for incomplete multi-view clustering

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

Knowledge-Based Systems

DOI

2025

High-order similarity learning based domain adaptation for speech emotion recognition

Hao Wang, Yixuan Ji, Peng Song, Zhaowei Liu

Applied Acoustics

DOI

2025

Analyzing the Properties of Graph Neural Networks with Evolutionary Algorithms

Zhaowei Liu, Zhifei Lu, Haiyang Wang, Dawei Chen, Shaoyu Wang, Jie Chu, Rufei Gao, Anzuo Jiang

Mathematics

DOI

2025

RM-BGNN: A weakly informative Bayesian graph neural network based on residual mechanism

Jihao Dong, Zhaowei Liu, Dong Lin Yang, Peng Song, Jinglei Liu, Anzuo Jiang

Neurocomputing

DOI

2025

Federated Graph Neural Networks Based on Multiscale Residuals in Industrial Internet of Things

Zhaowei Liu, Yifan Jiang, Jiaojiao Gu, Diantong Liu, Yongchao Song, Anzuo Jiang, Peiyong Duan

IEEE Transactions on Computational Social Systems

DOI

2025

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

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

IEEE Transactions on Computational Social Systems

DOI

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 Transactions on Intelligent Transportation Systems

DOI

2025

Parallel graph neural architecture search optimization with incomplete features

Haitao Yang, Zhaowei Liu, Dong Lin Yang, Lihong Wang

Applied Soft Computing

DOI

2025

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

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

Applied Soft Computing

DOI

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 Transactions on Intelligent Transportation Systems

DOI

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 Transactions on Geoscience and Remote Sensing

DOI

2024

[Review] 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 Systems With Applications，Vol. 243

DOI

2024

Heterogeneous graphs neural networks based on neighbor relationship filtering

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

Expert Systems With Applications，Vol. 239

DOI

2024

基于深度学习的肺部疾病辅助诊断系统设计

刘兆伟

《西南科技大学》

2024

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

Kai-Ge Jiang, Yingjie Wang, Hai-Peng Wang, Zhaowei Liu, Qi-Long Han, Ao Zhou, Chao-Can Xiang, Z. Cai

IEEE Transactions on Computational Social Systems

DOI

2024

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

Guanghao Du, Peng Song, Yuanbo Cheng, Zhaowei Liu, Yanwei Yu, Wen-Ming Zheng

Neurocomputing

DOI

2024

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

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

IEEE Transactions on Computational Social Systems

DOI

2024

Enhanced tensor based embedding anchor learning for multi-view clustering

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

Information Sciences

DOI

2024

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

DOI

2024

Graph generative adversarial networks with evolutionary algorithm

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

Applied Soft Computing

DOI

2024

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

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

IEEE Transactions on Emerging Topics in Computational Intelligence

DOI

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 Transactions on Emerging Topics in Computational Intelligence

DOI

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 Transactions on Computational Social Systems

DOI

2024

Adaptive multi-channel Bayesian Graph Neural Network

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

Neurocomputing

DOI

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 and Automation Letters

DOI

2024

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

Haojie Sun, Zhaowei Liu, Shenqiang Wang, Haiyang Wang

IEEE Transactions on Network Science and Engineering

DOI

2023

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

Zhongwei Zhan, Yingjie Wang, Peiyong Duan, A. Sai, Zhaowei Liu, Chao-Can Xiang, Xiangrong Tong, Wei-Long Wang, Z. Cai

IEEE Transactions on Mobile Computing

DOI

2023

Internet Financial Fraud Detection Based on Graph Learning

Ranran Li, Zhaowei Liu, Yuanqing Ma, D. Yang, Shuaijie Sun

IEEE Transactions on Computational Social Systems

DOI

2023

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

Zhaowei Liu, D. Yang, Yingjie Wang, Mingjie Lu, Ranran Li

Applied Soft Computing

DOI

2023

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 of Things Journal

DOI

2023

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

DOI

2023

Merit: multi-level graph embedding refinement framework for large-scale graph

Weishuai Che, Zhaowei Liu, Yingjie Wang, Jinglei Liu

Complex & Intelligent Systems

DOI

2023

Toward Safe Human-Robot Interaction: More Efficient Safety Monitoring Technology For Robotic Arms

Zihang Gong, Zhaowei Liu, Hang Su

WRC Symposium on Advanced Robotics and Automation (WRC SARA)

DOI

2023

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

Dezhi Guo, Zhaowei Liu, Ranran Li

Neural Networks

DOI

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

Computer Networks

DOI

2023

Ensuring security in edge computing through effective blockchain node detection

Shenqiang Wang, Zhaowei Liu, Haiyang Wang, Jianping Wang

Journal of Cloud Computing Advances Systems and Applications

DOI

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, Mengying Ni

Remote Sensing

DOI

2023

Fuzzy neighbourhood neural network for high-resolution remote sensing image segmentation

Tingting Qu, Jindong Xu, Qianpeng Chong, Zhaowei Liu, Weiqing Yan, Xuan Wang, Yongchao Song, Mengying Ni

European Journal of Remote Sensing

DOI

2023

Deep Video Stabilization via Robust Homography Estimation

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

IEEE Signal Processing Letters

DOI

2022

基于区块链的车联网安全信息共享机制设计

李永强，刘兆伟

《郑州大学学报(工学版)》

2022

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

Mingze Wang, Yingjie Wang, A. Sai, Zhaowei Liu, Yang Gao, Xiang-Rong Tong, Z. Cai

Applied Soft Computing

DOI

2022

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

Zhaowei Liu, Dong Lin Yang, Shenqiang Wang, Hang Su

Digital Communications and Networks

DOI

2022

A multiscale fuzzy dual-domain attention network for urban remote sensing image segmentation

Qianpeng Chong, Jindong Xu, Fei Jia, Zhaowei Liu, Weiqing Yan, Xuan Wang, Yongchao Song

International Journal of Remote Sensing

DOI

2022

Heterogeneous Network Representation Learning Approach for Ethereum Identity Identification

Yixian Wang, Zhaowei Liu, Jindong Xu, Weiqing Yan

IEEE Transactions on Computational Social Systems

DOI

2022

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

Yongli Ma, Jindong Xu, Fei Jia, Weiqing Yan, Zhaowei Liu, Mengying Ni

IET Image Processing

DOI

2022

Blockchain-based Secure Data Sharing Mechanism Design in the Vehicular Networks

Yongqiang Li, LIU Zhaowei

DOAJ (DOAJ: Directory of Open Access Journals)

DOI

2021

A fuzzy spectral clustering algorithm for hyperspectral image classification

Kang Li, Jindong Xu, Tianyu Zhao, Zhaowei Liu

IET Image Processing

DOI

2020

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

Meng Shuai Zhu, Jindong Xu, Zhaowei Liu

Lecture notes in computer science

DOI

2017

Research on the humanlike trajectories control of robots based on the k-nearest neighbors

Lei Wang, Zhaowei Liu

Chinese Automation Congress

DOI

2014

Construction of a GAI Tree with Hypergraph Decompositions

Zhaowei Liu, Liu Jinglei

DOAJ (DOAJ: Directory of Open Access Journals)

2006

Adaptive fuzzy control for SISO nonlinear time-delay systems

Zifang Qu, Zhenbin Du, Zhaowei Liu

Chinese Control Conference (CCC)

DOI

精选作品

期刊论文

ATGFB-MFF: Adaptive Text-Guided Fiber Bundle Feature Fusion with LLMs for Multimodal Sentiment Analysis and Emotion Recognition in Conversations

Wavelet Spectral–Spatial Mamba Network for Hyperspectral Image Classification

Collaborative Subgraph Learning based Spectrum Sensing under Partial Observations

DA-DFGAS:Differentiable Federated Graph Neural Architecture Search with Distribution-Aware Attentive Aggregation

Multi-dimensional Adaptive Mix-hop Contextual Learning Framework for Universal Graph Anomaly Detection

Fusion decomposition and backbone gathering based multimodal sentiment analysis under uncertain missing modalities

Dynamic Graph Consistent Weighted Subspace Learning for Cross-Domain Speech Emotion Recognition

GLF-Net: Global-local fusion network for radar signal modulation recognition

Dynamic Riemannian Geometry Relational Distillation for Lightweight 3D Object Detection

Mamba-Enhanced Lightweight Remote Sensing Object Detection

Hybrid Conditional Diffusion With Implicit Repair for Incomplete Multiview Clustering

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

Multi-view subspace clustering via slack consistency and double-side orthogonal diversity

Robust structure-preservation tensorized representation for multi-view unsupervised feature selection

Label completion based concept factorization for incomplete multi-view clustering

High-order similarity learning based domain adaptation for speech emotion recognition

Analyzing the Properties of Graph Neural Networks with Evolutionary Algorithms

RM-BGNN: A weakly informative Bayesian graph neural network based on residual mechanism

Federated Graph Neural Networks Based on Multiscale Residuals in Industrial Internet of Things

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

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

Parallel graph neural architecture search optimization with incomplete features

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

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

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

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

Heterogeneous graphs neural networks based on neighbor relationship filtering

基于深度学习的肺部疾病辅助诊断系统设计

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

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

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

Enhanced tensor based embedding anchor learning for multi-view clustering

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

Graph generative adversarial networks with evolutionary algorithm

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

Diversity-Induced Bipartite Graph Fusion for Multiview Graph Clustering

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

Adaptive multi-channel Bayesian Graph Neural Network

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

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

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

Internet Financial Fraud Detection Based on Graph Learning

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

A Personalized Location Privacy Protection System in Mobile Crowdsourcing

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

Merit: multi-level graph embedding refinement framework for large-scale graph

Toward Safe Human-Robot Interaction: More Efficient Safety Monitoring Technology For Robotic Arms

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

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

Ensuring security in edge computing through effective blockchain node detection

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

Fuzzy neighbourhood neural network for high-resolution remote sensing image segmentation

Deep Video Stabilization via Robust Homography Estimation

基于区块链的车联网安全信息共享机制设计

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

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

A multiscale fuzzy dual-domain attention network for urban remote sensing image segmentation

Heterogeneous Network Representation Learning Approach for Ethereum Identity Identification

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

Blockchain-based Secure Data Sharing Mechanism Design in the Vehicular Networks

A fuzzy spectral clustering algorithm for hyperspectral image classification

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

Research on the humanlike trajectories control of robots based on the k-nearest neighbors

Construction of a GAI Tree with Hypergraph Decompositions

Adaptive fuzzy control for SISO nonlinear time-delay systems

研究方向