代表性论文
[1]Wei Wang, Ruiming Guo, Yapeng Tian, Wenming Yang, CFSNet: Toward a Controllable Feature Space for Image Restoration[C],International Conference on Computer Vision(ICCV2019),Oct.27-Nov.2, 2019, Seoul, Korea (Accepted)
[2]Wenming Yang, Xuechen Zhang, Yapeng Tian, Wei Wang, Jing-Hao Xue, Qingmin Liao LCSCNet: Linear Compressing Based Skip-Connecting Network for Image Super-Resolution[J], IEEE Transactions on Image Processing.(Accepted,IF=6.790)
[3]Wenming Yang, Xuechen Zhang, Wei Wang, Jing-Hao Xue, Qingmin Liao,Deep Learning for Single Image Super-Resolution: A Brief Review,IEEE Transactions on Multimedia(accepted, IF=5.425)
[4]Jingna Sun,Wenming Yang,Riqiang Gao,Jing-Hao Xue,Qingmin Liao, Inter-class angular margin loss for face recognition, Signal Processing: Image Communications(accepted, IF=2.813)
[5]Wenming Yang, Changqing Hui, Zhiquan Chen, Jing-Hao Xue, Qingmin Liao,FV-GAN: Finger Vein Representation Using Generative Adversarial Networks, IEEE Transactions on Information Forensics & Security, 2019, 14(9):pp.2512-2524(IF=6.211)
[6]Wenming Yang, Changqing Hui, Daren Sun, Xiang Sun, Qingmin Liao, Clustering Through Probability Distribution Analysis Along Eigenpaths, IEEE Transactions on Systems, Man and Cybernetics: Systems,2018, Early Access, pp.1-10 (IF=7.350)
[7]Wenming Yang, Wei Wang, Xuechen Zhang, Shuifa Sun, Qingmin Liao, Lightweight Feature Fusion Network for Single Image Super-Resolution, IEEE Signal Processing Letters, 2019, 26(4): pp.538-542.(IF=3.268)
[8]Wenming Yang, Wenyang Ji, Jing-Hao Xue, Yong Ren, Qingmin Liao. A Hybrid Finger Identification Pattern Using Polarized Depth-weighted Binary Direction Coding. Neurocomputing, 2019, 325(24): pp.260-268(IF=4.071)
[9]Wenming Yang, Zhiquan Chen, Chuan Qin, Qingmin Liao, α-Trimmed Weber Representation and Cross Section Asymmetrical Coding for Human Identification using Finger Images, IEEE Transactions on Information Forensics & Security,2019, 14(1): 90-101 (IF=6.211)
[10]Rui Zhu, Fei Zhou, Wenming Yang, Jing-Hao Xue, OnHypothesisTestingforComparingImageQualityAssessmentMetrics,IEEE Signal Processing Magazine, 2018, 35(4): pp.133- 136.(IF=7.451)
[11]Zhengda Zeng, Wenming Yang, Wen Sun, Jing-Hao Xue, Qingmin Liao, No-reference Image Quality Assessment for Photographic Images Based on Robust Statistics, Neurocomputing,2018, 313(11): pp. 111-118.(IF=4.071)
[12]Riqiang Gao, Wenming Yang, Qingmin Liao, Margin Loss: Making Faces more Separable, IEEE Signal Processing Letters, 2018, 25(2): pp.308-312.(IF=3.268)
[13]Fuwei Yang, Wenming Yang, Riqiang Gao, Qingmin Liao, Discriminative Multidimensional Scaling for Low-resolution Face Recognition, IEEE Signal Processing Letters, 2018, 25(2): pp.388-392.(IF=3.268)
[14]Wenming Yang, Tingrong Yuan, Wei Wang, Fei Zhou, and Qingmin Liao,Single-Image Super-Resolution by Subdictionary Coding and Kernel Regression,IEEE Transactions on Systems, Man and Cybernetics: Systems, 2017, 47(9):pp.2478-2488. (IF=7.350)
[15]Wenming Yang,Xiang Sun,Qingmin Liao, Cascaded Elastically Progressive Model for Face Alignment,IEEE Transactions on Systems, Man and Cybernetics: Systems, 2017, 47(9):pp.2613-2621(IF=7.350)
[16]Wenming Yang, Yapeng Tian, Fei Zhou, Qingmin liao,Consistent Coding Scheme for Single Image Super-Resolution via Independent Dictionaries,IEEE Transactions on Multimedia,2016,18(3):pp.313-325. (IF=5.425)
[17]Fei Zhou, Tingrong Yuan,Wenming Yang, Qingmin Liao, Single-Image Super-Resolution Based on Compact KPCA Coding and Kernel Regression,IEEE Signal Processing Letters,2015,22(3): pp.336-339. (IF=3.268)
[18]Wenming Yang, Xiaola Huang, Qingmin Liao, Comparative Competitive Coding for Personal Identification by Using Finger Vein and Finger Dorsal Texture Fusion,Information Sciences, 2014, 268(4):pp.20-32. (IF=5.524)
[19]Jianfeng Shen,Wenming Yang, Qingmin Liao,Part template: 3D representation for multiview human pose estimation,Pattern Recognition, 2013, 46(1): pp.1920-1932. (IF=5.898)
[20]Fei Zhou,Wenming Yang, and Qingmin Liao, A coarse-to-fine subpixel registration method to recover local perspective deformation in the application of image super-resolution,IEEE Trans. on Image Processing, 2012, 21(1): pp. 53–66. (IF=6.790)
[21]Fei Zhou,Wenming Yang, and Qingmin Liao, Interpolation-Based Image Super-Resolution Using Multisurface Fitting. IEEE Trans. On Image Processing,2012, 21(7): pp.3312-3318. (IF=6.790)
[22]Biao Wang, Weifeng Li, Wenming Yang, Qingmin Liao, Illumination Normalization Based on Weber's Law With Application to Face Recognition,IEEE Signal Processing Letters, 2011, 18(8): pp. 462-465. (IF=3.268)
[23]Wenming Yang, Yaxing Cao, Qian Zhao, Qingmin Liao, Lesion Classification of Wireless Capsule Endoscopy Images,2019 IEEE International Symposium on Biomedical Imaging(IEEEISBI), April, Venice, Italy.
[24]Wenming Yang, Zirui Wang, Kaiquan Chen, Zhide Li, Qingmin Liao,A Comprehensive Classification System for Breast Cancer Diagnosis Based on Dynamic Optical Breast Imaging,IEEEEMBC2019, Jul. 2019, Berlin, Germany.
[25]Wenming Yang, Jiamin Fan, Xingjun Wang, Qingmin Liao, Sleep apnea and hypopnea events detection based on airflow signals using LSTM network,IEEE EMBC2019, Jul. 2019, Berlin, Germany.
专利
[1]杨文明,田亚鹏,周飞,郑成林,陈海,图像重建方法及装置,国际公布号:WO2018/120043 A1国际公布日2018-7-5
[2]杨文明,田亚鹏,周飞,郑成林,陈海,图像处理方法和装置,国际公布号:WO2017/070841 A1国际公布日2017-5-4
[3]梁超,杨文明,廖庆敏,傅翼,一种数显仪表判读方法,专利号:CN102254159 B,授权日期2014-7-2
[4]杨文明,李得第,谢正伟,张丽,廖庆敏,一种基于多特征建模的分块多尺度工程车识别方法及系统,专利号:ZL201410191630.1授权日期2017-7-14
[5]杨文明,廖庆敏,杨帆,基于联动摄像机的视频监控装置及其跟踪记录方法,专利号:ZL200910106883.3授权日期2010-9-1
[6]杨文明,杨帆,廖庆敏,一种身份信息识别方法及系统,专利号:ZL200910109432.5 授权日期2011-6-18
[7]杨文明,杨帆,廖庆敏,一种基于图像纹理分析的的检测粗糙度方法及系统,专利号:ZL200910109431.0 授权日期2011-4-3
[8]杨文明,廖庆敏,杨帆,基于手指静脉纹与手指背纹的成像设备及多模态身份认证方法,专利号:ZL200910106894.1授权日期2011-5-25