Shangwang Liu

According to our database, Shangwang Liu authored at least 32 papers between 2012 and 2026.

Collaborative distances:

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

2026

DTCF: dual task correction framework for semi-supervised medical image segmentation.

Shangwang Liu, Defu Wan

Multim. Syst., April, 2026

WA-UKAN:Wavelet-Enhanced Attention Kolmogorov-Arnold Networks for medical image segmentation.

Shangwang Liu, Kun Wang

Signal Process. Image Commun., 2026

FVBLNet: A dual-domain network with vision LSTM and multi-feature calibration for medical image segmentation.

Shangwang Liu, Hongwei Wang, Yuhui Ren, Guoqi Liu, Hualei Shen

Expert Syst. Appl., 2026

WMamba: A frequency decoupling enhancement network based on Wavelet Transform and Mamba for medical image segmentation.

Shangwang Liu, Ruonan Xu, Yinghai Lin, Guoqi Liu, Hualei Shen

Biomed. Signal Process. Control., 2026

Window-xLSTMUnet: A medical image segmentation network fusing improved xLSTM with multi-scale receptive fields.

Shangwang Liu, Yusen Wang, Guoqi Liu, Hualei Shen

Appl. Soft Comput., 2026

2025

A Cross-Scale residual attention network with convolutional kolmogorov-arnold for medical image segmentation.

Shangwang Liu, Yulin Cheng, Yinghai Lin, Xianglian Jin, Hongwei Wang, Yusen Wang

Signal Image Video Process., November, 2025

Context-aware network with enhanced local information for medical image segmentation.

Shangwang Liu, Hongwei Wang, Yinghai Lin, Xianglian Jin, Yusen Wang, Yulin Cheng

Pattern Anal. Appl., September, 2025

Frequency-Enhanced Lightweight Vision Mamba Network for Medical Image Segmentation.

Shangwang Liu, Yinghai Lin, Danyang Liu, Peixia Wang, Bingyan Zhou, Feiyan Si

IEEE Trans. Instrum. Meas., 2025

Multiscale Rolling Attention Network With Enhanced Local and Global Features for Medical Image Segmentation.

Shangwang Liu, Yusen Wang, Yinghai Lin, Xianglian Jin, Hongwei Wang, Yulin Cheng

Int. J. Imaging Syst. Technol., 2025

Dual-domain guided vision Mamba network for medical image segmentation.

Shangwang Liu, Mengjiao Zhao, Yinghai Lin

Expert Syst. Appl., 2025

Multi-scale feature fusion based SAM for high-quality few-shot medical image segmentation.

Shangwang Liu, Ruonan Xu

Comput. Vis. Image Underst., 2025

IDSNet: Unifying local and global context for skin lesion image segmentation.

Shangwang Liu, Peixia Wang, Yinghai Lin, Bingyan Zhou

Biomed. Signal Process. Control., 2025

TPCP-Net: An efficient information enhancement network with a parameter quantity below 1M for Polyp segmentation.

Guoqi Liu, Chang Liu, Dong Liu, Baofang Chang, Jiajia Wang, Shangwang Liu

Biomed. Signal Process. Control., 2025

2024

DPNet: a dual-attention patching network for breast tumor segmentation in an ultrasound image.

Shangwang Liu, Danyang Liu, Yinghai Lin

Multim. Syst., December, 2024

CSUnet: a dual attention and hybrid convolutional network for polyp segmentation.

Shangwang Liu, Feiyan Si, Yinghai Lin

Signal Image Video Process., November, 2024

Efficient and real-time skin lesion image segmentation using spatial-frequency information and channel convolutional networks.

Shangwang Liu, Bingyan Zhou, Yinghai Lin, Peixia Wang

J. Real Time Image Process., October, 2024

SMRU-Net: skin disease image segmentation using channel-space separate attention with depthwise separable convolutions.

Shangwang Liu, Peixia Wang, Yinghai Lin, Bingyan Zhou

Pattern Anal. Appl., September, 2024

RTNet: a residual t-shaped network for medical image segmentation.

Shangwang Liu, Yinghai Lin, Danyang Liu, Guoqi Liu, Hualei Shen

Multim. Tools Appl., September, 2024

MS-UNet: A Novel Multi-scale U-shaped Network for COVID-19 CT Image Segmentation.

Shangwang Liu, Feiyan Si, Xiufang Tang, Tongbo Cai

Inf. Technol. Control., 2024

2023

MRL-Net: Multi-Scale Representation Learning Network for COVID-19 Lung CT Image Segmentation.

Shangwang Liu, Tongbo Cai, Xiufang Tang, Changgeng Wang

IEEE J. Biomed. Health Informatics, September, 2023

SFNet: Saliency fast Fourier convolutional Network for medical image segmentation.

Shangwang Liu, Danyang Liu, Yinghai Lin, Ziqi Wei

Proceedings of the ACM Multimedia Asia 2023, 2023

2022

BPDGAN: A GAN-Based Unsupervised Back Project Dense Network for Multi-Modal Medical Image Fusion.

Shangwang Liu, Lihan Yang

Entropy, December, 2022

Visual Recognition of Traffic Signs in Natural Scenes Based on Improved RetinaNet.

Shangwang Liu, Tongbo Cai, Xiufang Tang, Yangyang Zhang, Changgeng Wang

Entropy, 2022

COVID-19 diagnosis via chest X-ray image classification based on multiscale class residual attention.

Shangwang Liu, Tongbo Cai, Xiufang Tang, Yangyang Zhang, Changgeng Wang

Comput. Biol. Medicine, 2022

2021

Hybrid Particle Swarm and Grey Wolf Optimizer and its application to clustering optimization.

Xinming Zhang, Qiuying Lin, Wentao Mao, Shangwang Liu, Zhi Dou, Guoqi Liu

Appl. Soft Comput., 2021

2020

Improved Laplacian Biogeography-Based Optimization Algorithm and Its Application to QAP.

Xinming Zhang, Doudou Wang, Haiyan Chen, Wentao Mao, Shangwang Liu, Guoqi Liu, Zhi Dou

Complex., 2020

2019

Lévy Flight Shuffle Frog Leaping Algorithm Based on Differential Perturbation and Quasi-Newton Search.

Xinming Zhang, Zihao Fu, Haiyan Chen, Wentao Mao, Shangwang Liu, Guoqi Liu

IEEE Access, 2019

2018

A robust image watermarking scheme using Arnold transform and BP neural network.

Lin Sun, Jiucheng Xu, Shangwang Liu, Shiguang Zhang, Yuan Li, Chang'an Shen

Neural Comput. Appl., 2018

2017

Modelling epidemic routing with heterogeneous infection rate.

Peiyan Yuan, Shangwang Liu, En Zhang

Int. J. High Perform. Comput. Netw., 2017

2016

Visual saliency based on frequency domain analysis and spatial information.

Shangwang Liu, Jianlan Hu

Multim. Tools Appl., 2016

2014

A new multi-task learning based Wi-Fi location approach using L1/2-norm.

Wentao Mao, Haicheng Wang, Shangwang Liu

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2012

An Improved Hybrid Model for Automatic Salient Region Detection.

Shangwang Liu, Dongjian He, Xinhong Liang

IEEE Signal Process. Lett., 2012