Employing unlabeled data to improve the classification performance of SVM, and its application in audio event classification. - Yan Leng; Chengli Sun; Xinyan Xu; Qi Yuan; Shuning Xing; Honglin Wan; Jingjing Wang 002; Dengwang Li (Knowl. Based Syst., 2016)

Application of Vis-NIR hyperspectral imaging in agricultural products detection. - Nannan Hu; Dongmei Wei; Liren Zhang; Jingjing Wang 002; Huaqiang Xu; Yuefeng Zhao (ICAIT, 2017)

The principle and application of hyperspectral imaging technology in detection of handwriting. - Weili Wang; Liren Zhang; Dongmei Wei; Yuefeng Zhao; Jingjing Wang 002 (ICAIT, 2017)

Ensemble clustering model of hyperspectral image segmentation. - Mengmeng Wu; Yuefeng Zhao; Liren Zhang; Jingjing Wang 002; Huaqiang Xu; Dongmei Wei (ICAIT, 2017)

A Novel Multi-Atlas and Multi-Channel (MAMC) Approach for Multiple Sclerosis Lesion Segmentation in Brain MRI. - Changjun Hu; Liansong Song; Meiru Liu; Jingjing Wang 002; Liren Zhang (ISICDM, 2018)

An Effective Feature Segmentation Algorithm for a Hyper-Spectral Facial Image. - Yuefeng Zhao; Mengmeng Wu; Liren Zhang; Jingjing Wang 002; Dongmei Wei (Inf., 2018)

A Novel Approach of Slope Detection Combined with Lv's Distribution for Airborne SAR Imagery of Fast Moving Targets. - Yuefeng Zhao; Shengliang Han; Jimin Yang; Liren Zhang; Huaqiang Xu; Jingjing Wang 002 (Remote. Sens., 2018)

Continuity Pattern Structure of Target Scene in Support of Multiple-Channel ISAR Imagery. - Jingjing Wang 002; Meiru Liu; Hang Zhang 025; Shengliang Han; Liren Zhang (IEEE Access, 2019)

A Bio-Inspired Gateway Selection Scheme for Hybrid Mobile Ad Hoc Networks. - Huaqiang Xu; Yuefeng Zhao; Liren Zhang; Jingjing Wang 002 (IEEE Access, 2019)

Hyper-Spectral Characteristics in Support of Object Classification and Verification. - Liren Zhang; Hao Lu 005; Hang Zhang 025; Yuefeng Zhao; Huaqiang Xu; Jingjing Wang 002 (IEEE Access, 2019)

The application of near-infrared reflectance hyperspectral imaging for the detection and extraction of bloodstains. - Yuefeng Zhao; Nannan Hu; Yunuan Wang; Yonglei Liu; Xiaofei Li; Jingjing Wang 002 (Clust. Comput., 2019)

A novel multi-atlas and multi-channel (MAMC) approach for multiple sclerosis lesion segmentation in brain MRI. - Jingjing Wang 002; Changjun Hu; Huaqiang Xu; Yan Leng; Liren Zhang; Yuefeng Zhao (Signal Image Video Process., 2019)

A Novel Brain Tumor Segmentation Approach Based on Deep Convolutional Neural Network and Level Set. - Jingjing Wang 002; Jun Gao; Jinwen Ren; Yanhua Zhao; Liren Zhang (ICAIT, 2020)

Trust-Based Probabilistic Broadcast Scheme for Mobile Ad Hoc Networks. - Huaqiang Xu; Haipeng Si; Hang Zhang 025; Liren Zhang; Yan Leng; Jingjing Wang 002; Dengwang Li (IEEE Access, 2020)

An adaptive sparse Bayesian model combined with probabilistic label fusion for multiple sclerosis lesion segmentation in brain MRI. - Jingjing Wang 002; Meiru Liu; Chunhui Zhang; Huaqiang Xu; Liren Zhang; Yuefeng Zhao (Future Gener. Comput. Syst., 2020)

A Convolutional Neural Network Based on Self-Attention Mechanism for Molecular Property Prediction Using Molecular Hidden Fingerprints: An efficient molecular property prediction method. - Hongzhen Li; Wenhan Zhao; Jingjing Wang 002; Zengzhao Sun; Jinwen Ren; Bo Zhang; Zhenye Luan; Zishu Yu (ICNCC, 2021)

DFP-ResUNet: Convolutional Neural Network with a Dilated Convolutional Feature Pyramid for Multimodal Brain Tumor Segmentation. - Jingjing Wang 002; Jun Gao; Jinwen Ren; Zhenye Luan; Zishu Yu; Yanhua Zhao; Yuefeng Zhao (Comput. Methods Programs Biomed., 2021)

A Noisy SAR Image Fusion Method Based on NLM and GAN. - Jing Fang; Xiaole Ma; Jingjing Wang 002; Kai Qin; Shaohai Hu; Yuefeng Zhao (Entropy, 2021)

Comparison of two internal fixation systems in lumbar spondylolysis by finite element methods. - Le Li; Shuhao Jiang; Junyong Zhao; Mengmeng Zhao; Xin Zhou; Kunpeng Li; Chen Liu; Wencan Zhang; Junfei Chen; Qun Yu; Yuefeng Zhao; Jingjing Wang 002; et al. (Comput. Methods Programs Biomed., 2022)

An adaptive sparse Bayesian model combined with joint information-based label fusion for brain tumor segmentation in MRI. - Jingjing Wang 002; Zhenye Luan; Zishu Yu; Jun Gao; Jinwen Ren; Khushal Khan; Kejiang Yuan; Huaqiang Xu (Signal Image Video Process., 2022)

Superpixel segmentation with squeeze-and-excitation networks. - Jingjing Wang 002; Zhenye Luan; Zishu Yu; Jinwen Ren; Jun Gao; Kejiang Yuan; Huaqiang Xu (Signal Image Video Process., 2022)

A multi-focus image fusion network combining dilated convolution with learnable spacings and residual dense network. - Jing Fang; Xinglin Ning; Taiyong Mao; Mengting Zhang; Yuefeng Zhao; Shaohai Hu; Jingjing Wang 002 (Comput. Electr. Eng., 2024)

Design of a Near-Field Synthetic Aperture Radar Imaging System Based on Improved RMA. - Yongcheng Li; Huaqiang Xu; Jiawei Xu; Hao Chen; Qiying An; Kangming Hou; Jingjing Wang 002 (Remote. Sens., 2024)