Kun Liu

According to our database, Kun Liu authored at least 15 papers between 2019 and 2024.

Collaborative distances:

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

2024

A fusion-attention swin transformer for cardiac MRI image segmentation.

Ruiping Yang, Kun Liu, Yongquan Liang

IET Image Process., 2024

2022

A 3D Grouped Convolutional Network Fused with Conditional Random Field and Its Application in Image Multi-target Fine Segmentation.

Jian Yin, Zhibo Zhou, Shaohua Xu, Ruiping Yang, Kun Liu

Int. J. Comput. Intell. Syst., 2022

An FA-SegNet Image Segmentation Model Based on Fuzzy Attention and Its Application in Cardiac MRI Segmentation.

Ruiping Yang, Jiguo Yu, Jian Yin, Kun Liu, Shaohua Xu

Int. J. Comput. Intell. Syst., 2022

A dense R-CNN multi-target instance segmentation model and its application in medical image processing.

Ruiping Yang, Jiguo Yu, Jian Yin, Kun Liu, Shaohua Xu

IET Image Process., 2022

2021

A CNN model embedded with local feature knowledge and its application to time-varying signal classification.

Ruiping Yang, Xianyu Zha, Kun Liu, Shaohua Xu

Neural Networks, 2021

A weighted fuzzy process neural network model and its application in mixed-process signal classification.

Shaohua Xu, Naidan Feng, Kun Liu, Yongquan Liang, Xiaoyu Liu

Expert Syst. Appl., 2021

A Generative Adversarial Network Fused with Dual-Attention Mechanism and Its Application in Multitarget Image Fine Segmentation.

Jian Yin, Zhibo Zhou, Shaohua Xu, Ruiping Yang, Kun Liu

Comput. Intell. Neurosci., 2021

A Fuzzy Radial Basis Adaptive Inference Network and Its Application to Time-Varying Signal Classification.

Long Huang, Shaohua Xu, Kun Liu, Ruiping Yang, Lu Wu

Comput. Intell. Neurosci., 2021

An RBF-LVQPNN model and its application to time-varying signal classification.

Lu Wu, Yinglong Wang, Shaohua Xu, Kun Liu, Xuegui Li

Appl. Intell., 2021

A Fuzzy Radial Basis Inference Network With Grouped Signal Feature Embedding and Its Application in Multi-Source Signals Classification.

Xianyu Zha, Shaohua Xu, Kun Liu, Long Huang

IEEE Access, 2021

2020

A CNN-RBPNN Model With Feature Knowledge Embedding and its Application to Time-Varying Signal Classification.

Lu Wu, Yinglong Wang, Shaohua Xu, Kun Liu, Xuegui Li

IEEE Access, 2020

2019

A fuzzy process neural network model and its application in process signal classification.

Shaohua Xu, Kun Liu, Xuegui Li

Neurocomputing, 2019

A radial basis probabilistic process neural network model and corresponding classification algorithm.

Kun Liu, Shaohua Xu, Naidan Feng

Appl. Intell., 2019

A Parallel GRU Recurrent Network Model and its Application to Multi-Channel Time-Varying Signal Classification.

Shaohua Xu, Jingjing Li, Kun Liu, Lu Wu

IEEE Access, 2019

A Probabilistic Process Neural Network and Its Application in ECG Classification.

Naidan Feng, Shaohua Xu, Yongquan Liang, Kun Liu

IEEE Access, 2019