An Improved Hybrid Model for Automatic Salient Region Detection. - Shangwang Liu; Dongjian He; Xinhong Liang (IEEE Signal Process. Lett., 2012)

A new multi-task learning based Wi-Fi location approach using L1/2-norm. - Wentao Mao; Haicheng Wang; Shangwang Liu (IJCNN, 2014)

Visual saliency based on frequency domain analysis and spatial information. - Shangwang Liu; Jianlan Hu (Multim. Tools Appl., 2016)

Modelling epidemic routing with heterogeneous infection rate. - Peiyan Yuan; Shangwang Liu; En Zhang (Int. J. High Perform. Comput. Netw., 2017)

A robust image watermarking scheme using Arnold transform and BP neural network. - Lin Sun 002; Jiucheng Xu; Shangwang Liu; Shiguang Zhang; Yuan Li; Chang'an Shen (Neural Comput. Appl., 2018)

Lévy Flight Shuffle Frog Leaping Algorithm Based on Differential Perturbation and Quasi-Newton Search. - Xinming Zhang 002; Zihao Fu; Haiyan Chen 002; Wentao Mao; Shangwang Liu; Guoqi Liu (IEEE Access, 2019)

Improved Laplacian Biogeography-Based Optimization Algorithm and Its Application to QAP. - Xinming Zhang 002; Doudou Wang; Haiyan Chen 002; Wentao Mao; Shangwang Liu; Guoqi Liu; Zhi Dou (Complex., 2020)

Hybrid Particle Swarm and Grey Wolf Optimizer and its application to clustering optimization. - Xinming Zhang 002; Qiuying Lin; Wentao Mao; Shangwang Liu; Zhi Dou; Guoqi Liu (Appl. Soft Comput., 2021)

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)

Visual Recognition of Traffic Signs in Natural Scenes Based on Improved RetinaNet. - Shangwang Liu; Tongbo Cai; Xiufang Tang; Yangyang Zhang; Changgeng Wang (Entropy, 2022)

BPDGAN: A GAN-Based Unsupervised Back Project Dense Network for Multi-Modal Medical Image Fusion. - Shangwang Liu; Lihan Yang (Entropy, 2022)

SFNet: Saliency fast Fourier convolutional Network for medical image segmentation. - Shangwang Liu; Danyang Liu; Yinghai Lin; Ziqi Wei 003 (MMAsia, 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, 2023)

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)

RTNet: a residual t-shaped network for medical image segmentation. - Shangwang Liu; Yinghai Lin; Danyang Liu; Guoqi Liu; Hualei Shen (Multim. Tools Appl., 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., 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., 2024)

CSUnet: a dual attention and hybrid convolutional network for polyp segmentation. - Shangwang Liu; Feiyan Si; Yinghai Lin (Signal Image Video Process., 2024)

DPNet: a dual-attention patching network for breast tumor segmentation in an ultrasound image. - Shangwang Liu; Danyang Liu; Yinghai Lin (Multim. Syst., 2024)

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)

IDSNet: Unifying local and global context for skin lesion image segmentation. - Shangwang Liu; Peixia Wang; Yinghai Lin; Bingyan Zhou (Biomed. Signal Process. Control., 2025)

Multi-scale feature fusion based SAM for high-quality few-shot medical image segmentation. - Shangwang Liu; Ruonan Xu (Comput. Vis. Image Underst., 2025)

Dual-domain guided vision Mamba network for medical image segmentation. - Shangwang Liu; Mengjiao Zhao; Yinghai Lin (Expert Syst. Appl., 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)

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., 2025)