Measurement of M2-Curve for Asymmetric Beams by Self-Referencing Interferometer Wavefront Sensor. - Yongzhao Du (Sensors, 2016)

Joint Feature and Similarity Deep Learning for Vehicle Re-identification. - Jianqing Zhu; Huanqiang Zeng; Yongzhao Du; Zhen Lei 001; Lixin Zheng; Canhui Cai (IEEE Access, 2018)

Correlation Tracking via Self-Adaptive Fusion of Multiple Features. - Zhi Chen 029; Peizhong Liu; Yongzhao Du; Yanmin Luo 001; Wancheng Zhang (Inf., 2018)

Breast Microcalcification Detection Algorithm Based on Contourlet and ASVM. - Sheng Cai; Peizhong Liu; Yan-Min Luo 001; Yongzhao Du; Jianeng Tang (Algorithms, 2019)

A Robust Visual Tracking Algorithm Based on Spatial-Temporal Context Hierarchical Response Fusion. - Wancheng Zhang; Yanmin Luo 001; Zhi Chen 029; Yongzhao Du; Daxin Zhu; Peizhong Liu (Algorithms, 2019)

Joint horizontal and vertical deep learning feature for vehicle re-identification. - Jianqing Zhu; Huanqiang Zeng; Xin Jin; Yongzhao Du; Lixin Zheng; Canhui Cai (Sci. China Inf. Sci., 2019)

Multiscale Cooperative Differential Evolution Algorithm. - Yongzhao Du; Yuling Fan; Xiaofang Liu; Yan-Min Luo 001; Jianeng Tang; Peizhong Liu (Comput. Intell. Neurosci., 2019)

Combining fractal hourglass network and skeleton joints pairwise affinity for multi-person pose estimation. - Yanmin Luo 001; Zhitong Xu; Peizhong Liu; Yongzhao Du; Jing-Ming Guo (Multim. Tools Appl., 2019)

Online convolution network tracking via spatio-temporal context. - Hongxiang Wang; Peizhong Liu; Yongzhao Du; Xiaofang Liu (Multim. Tools Appl., 2019)

VRSDNet: vehicle re-identification with a shortly and densely connected convolutional neural network. - Jianqing Zhu; Yongzhao Du; Yang Hu; Lixin Zheng; Canhui Cai (Multim. Tools Appl., 2019)

Multi-Person Pose Estimation via Multi-Layer Fractal Network and Joints Kinship Pattern. - Yanmin Luo 001; Zhitong Xu; Peizhong Liu; Yongzhao Du; Jing-Ming Guo (IEEE Trans. Image Process., 2019)

Adaptive Hyper-Feature Fusion for Visual Tracking. - Zhi Chen 029; Yongzhao Du; Jianhua Deng; Jiafu Zhuang; Peizhong Liu (IEEE Access, 2020)

CA-GAN: Class-Condition Attention GAN for Underwater Image Enhancement. - Jing Wang; Ping Li 036; Jianhua Deng; Yongzhao Du; Jiafu Zhuang; Peidong Liang; Peizhong Liu (IEEE Access, 2020)

Detection of cervical lesion region from colposcopic images based on feature reselection. - Bing Bai; Yongzhao Du; Peizhong Liu; Pengming Sun; Ping Li 056; Yuchun Lv (Biomed. Signal Process. Control., 2020)

Cervical precancerous lesions classification using pre-trained densely connected convolutional networks with colposcopy images. - Tao Zhang 054; Yan-min Luo 001; Ping Li 056; Peizhong Liu; Yongzhao Du; Pengming Sun; BinHua Dong; Huifeng Xue (Biomed. Signal Process. Control., 2020)

Texture Feature-Based Classification on Transrectal Ultrasound Image for Prostatic Cancer Detection. - Xiaofu Huang; Ming Chen 023; Peizhong Liu; Yongzhao Du; Lei Chen (Comput. Math. Methods Medicine, 2020)

A Benign and Malignant Breast Tumor Classification Method via Efficiently Combining Texture and Morphological Features on Ultrasound Images. - Mengwan Wei; Yongzhao Du; Xiuming Wu; Qichen Su; Jianqing Zhu; Lixin Zheng; Guorong Lv; Jiafu Zhuang; Lin Lu (Comput. Math. Methods Medicine, 2020)

Robust visual tracking using self-adaptive strategy. - Zhi Chen 029; Peizhong Liu; Yongzhao Du; Yanmin Luo 001; Jing-Ming Guo (Multim. Tools Appl., 2020)

Long-term correlation tracking via spatial-temporal context. - Zhi Chen 029; Peizhong Liu; Yongzhao Du; Yanmin Luo 001; Jing-Ming Guo (Vis. Comput., 2020)

Recognition of Thyroid Ultrasound Standard Plane Images Based on Residual Network. - Minghui Guo; Kangjian Wang; Shunlan Liu; Yongzhao Du; Peizhong Liu; Qichen Su; Guorong Lv (Comput. Intell. Neurosci., 2021)

Recognition of Fetal Facial Ultrasound Standard Plane Based on Texture Feature Fusion. - Xiaoli Wang; Zhonghua Liu; Yongzhao Du; Yong Diao; Peizhong Liu; Guorong Lv; Haojun Zhang (Comput. Math. Methods Medicine, 2021)

Manifold learning with structured subspace for multi-label feature selection. - Yuling Fan; Jinghua Liu; Peizhong Liu; Yongzhao Du; Weiyao Lan; Shunxiang Wu (Pattern Recognit., 2021)

Robust adaptive learning with Siamese network architecture for visual tracking. - Wancheng Zhang; Yongzhao Du; Zhi Chen 029; Jianhua Deng; Peizhong Liu (Vis. Comput., 2021)

DCAM-Net: A Rapid Detection Network for Strip Steel Surface Defects Based on Deformable Convolution and Attention Mechanism. - Haixin Chen; Yongzhao Du; Yuqing Fu; Jianqing Zhu; Huanqiang Zeng (IEEE Trans. Instrum. Meas., 2023)

Label-free microscopic cell images adaptive enhancement via weighted fusion of bright, dark, and weak structure features. - Yongzhao Du; Bo Liu; Haixin Chen; Yuqing Fu (Biomed. Signal Process. Control., 2024)

AFF-Net: A Strip Steel Surface Defect Detection Network via Adaptive Focusing Features. - Yongzhao Du; Haixin Chen; Yuqing Fu; Jianqing Zhu; Huanqiang Zeng (IEEE Trans. Instrum. Meas., 2024)

Learning correlation information for multi-label feature selection. - Yuling Fan; Jinghua Liu; Jianeng Tang; Peizhong Liu; Yaojin Lin; Yongzhao Du (Pattern Recognit., 2024)

MVE-Net: A label-free microscopic image visual enhancement network via mRetinex and nonreference loss guidance. - Bo Liu; Yongzhao Du (Comput. Biol. Medicine, 2025)