[1]Zhenzhen Yang, Lu Fan, Yongpeng Yang,
et al. Generalized nuclear norm and Laplacian scale mixture based low-rank and
sparse decomposition for video foreground-background separation. Signal
Processing, 2020, 172:1-10. (SCI)
[2]Zhenzhen Yang, Lu Fan, Yongpeng Yang,
et al. Generalized singular value thresholding operator based nonconvex
low-rank and sparse decomposition for moving object detection. Journal of the
Franklin Institute-Engineering and Applied Mathematics, 2019, 356(16):10138-10154.
(SCI)
[3]Zhenzhen Yang, Pengfei Xu, Yongpeng
Yang, et al. A densely connected network based on U-Net for medical image
segmentation. ACM Transactions on Multimedia Computing Communications and
Applications, 2021, 17(3):1-14. (SCI)
[4]Zhenzhen Yang, Yongpeng Yang, Lu Fan,
et al. Truncatedγnorm-based low-rank and sparse decomposition. Multimedia Tools
and Applications, 2022, 81:1-17. (SCI)
[5]Zhenzhen Yang, Pengfei Xu, Yongpeng
Yang, et al. Noise robust intuitionistic fuzzy c-means clustering algorithm
incorporating local information. IET Image Processing, 2021, 15(3):805-817. (SCI)
[6]Zhenzhen Yang, Nan Kuang, Yongpeng
Yang, et al. Brain MR multimodal medical image registration based on image
segmentation and symmetric self-similarity. KSII Transactions on Internet and
Information Systems, 2020, 14(3):1167-1187. (SCI)
[7]Zhenzhen Yang, Zhen Yang, Deren Han.
Alternating direction method of multipliers for sparse and low-rank
decomposition based on nonconvex nonsmooth weighted nuclear norm. IEEE Access, 2018,
6(1):56945-56953. (SCI)
[8]Zhenzhen Yang, Zhen Yang, Guan Gui. A
convex constraint variational method for restoring blurred images in the
presence of alpha-stable noises. Sensors, 2018, 18(4):1-19. (SCI)
[9]Zhenzhen Yang, Zhen Yang. Fast linearized
alternating direction method of multipliers for the augmented l1-regularized
problem. Signal Image and Video Processing, 2015, 9(7):1601-1612. (SCI)
[10]Zhenzhen
Yang,
Zhen Yang. Noisy image reconstruction via fast linearized Lagrangian dual
alternating direction method of multipliers. Wireless Personal Communications,
2015, 82(1):143-156. (SCI)
[11] Zhenzhen
Yang,
Zhen Yang. Novel multifocus image fusion and reconstruction framework based on
compressed sensing. IET Image Processing, 2013, 7(9):837-847. (SCI)
[12] Zhenzhen
Yang,
Zhen Yang. Fast linearized Bregman method for compressed sensing. KSII Transactions
on Internet and Information Systems, 2013, 7(9):2284-2298. (SCI)
[13] Zhenzhen
Yang,
Zhen Yang. Sparse and low-rank matrices recovery from incomplete and noisy
measurement. Journal of Computational Information Systems, 2013,
9(19):7703-7710. (EI)
[14] Zhenzhen
Yang,
Zhen Yang. Accelerated augmented Lagrangian method for image reconstruction[C].
IEEE Proceeding of 2013 International Conference on Wireless Communications and
Signal Processing, Hangzhou, 2013:1-5. (EI)
[15] Zhenzhen
Yang,
Lei Li, Yongpeng Yang. Membership based on combining center with affinity in FSVR
and its application in soft sensor modeling[C]. IEEE Proceeding of 2010
International Conference on Machine Learning and Cybernetics, 2010:571-575. (EI)
[16] 杨真真,乐俊,杨永鹏,范露.基于非凸运动辅助低秩稀疏分解的目标检测.系统工程与电子技术, 2020,42(6):1218-1225.
(EI)
[17] 杨真真,范露,杨永鹏,匡楠,杨震.改进的低秩稀疏分解及其在目标检测中的应用.仪器仪表学报,2019,40(4): 198-206. (EI)
[18] 杨真真,杨震,李雷,金正猛.Alpha稳态噪声下基于Meridian范数的全变分图像去噪算法.电子与信息学报,2017,39(5):1109-1115.(EI)
[19] 杨真真,杨震.信号压缩与重构的交替方向外点持续法.电子学报,2014,42(3):485-490. (EI)
[20] 杨真真,杨震.压缩感知中基于快速交替方向乘子法的l0-正则化信号重构.电子与信息学报,
2013, 35(4):826-831. (EI)
[21] 杨真真,杨震.含噪语音压缩与重构的自适应共轭梯度投影算法.仪器仪表学报,
2012, 33(10):2200-2207. (EI)
[22] 杨真真,邵静,杨永鹏,吴心怡. 基于精确特征分布匹配和多域信息融合的跨域行人重识别. 信号处理,
2023,39:1-11.
[23] 杨真真,郑艺欣,邵静,杨永鹏. 基于改进路径聚合和池化YOLOv4的目标检测.南京邮电大学学报(自然科学版), 2022,42(5):1-7.
[24] 杨真真,孙雪,邵静,杨永鹏.基于多尺度偶数卷积注意力U-Net
的医学图像分割. 信号处理, 2022,38(9):1912-1921.
[25] 杨真真,匡楠,杨永鹏,许鹏飞.基于改进蜘蛛网局部图像特征的图像配准算法.南京邮电大学学报(自然科学版), 2020,40(2):27-34.
[26] 杨真真,匡楠,范露,康彬.基于卷积神经网络的图像分类算法综述.信号处理, 2018,34(12):1474-1489.
[27] 杨真真,杨震,李雷,金正猛. Cauchy噪声下基于全变分的两阶段模糊图像分割算法. 南京邮电大学学报(自然科学版),2017,
37(2):9-14.
[28] 杨真真,杨震.语音压缩感知硬阈值梯度追踪重构算法.信号处理, 2014, 30(4):390-398.
[29] 杨真真,杨震,孙林慧.信号压缩重构的正交匹配追踪类算法综述.信号处理, 2013, 29(4):486-496.
[30] 杨真真,杨震,李雷.语音重构的DCT域加速Landweber迭代硬阈值算法.信号处理,
2012, 28(2):172-178.
[31] 杨真真,李雷,杨永鹏.基于组合隶属度FSVM的图像边缘检测.南京邮电大学学报(自然科学版),
2011, 31(6):21- 26.
2.专利:
[1]杨真真,许鹏飞,孙雪,郑艺欣.基于改进U-Net网络的图像分割模型及训练方法, 20220826,中国, ZL202010546283.5,已授权.
[2]杨真真,乐俊,范露,许鹏飞,孙雪.一种基于非凸运动辅助的目标检测方法, 20220826,中国, ZL201911271901.3,已授权.
[3]杨真真,范露,杨震,桂冠.基于改进的低秩稀疏分解的视频前背景分离方法,20220802,中国, ZL
201910744766.3,已授权.
[4]杨真真,范露,王鸿宇,徐荣荣,唐浪.一种基于非凸低秩稀疏分解的运动目标检测方法,20220729,中国, ZL201910264942.3,已授权.
[5]杨真真,范露,杨震,匡楠.基于低秩稀疏分解的运动目标检测方法,20220510,中国,ZL
201811072276.5,已授权.
[6]杨真真,许鹏飞,康彬,匡楠,乐俊,郑艺欣. 基于改进直觉模糊c均值聚类的图像分割方法及存储介质, 20220211,中国, ZL201910887555.5,已授权.
[7]杨真真,匡楠,乐俊,许鹏飞. 一种大脑MR医学图像配准方法, 20211207,中国, ZL201910289162.4,已授权.
[8]杨真真,杨震,李雷,杨永鹏,金正猛.一种基于全变分的图像去噪方法, 20181218,中国,ZL201610711547.1,已授权.
[9]杨真真,杨震.一种基于压缩感知的多聚焦图像融合方法及装置,20160921,中国,ZL201310078170.7,已授权.
[10] 杨真真,杨震.一种压缩感知信号重构方法,20150408,中国, ZL201210343893.0,已授权.
[11] 杨永鹏,杨真真,杨震.一种基于图神经网络系统的文献分类方法, 20221014,中国, ZL202210915495.5,已授权.
[12] 杨震,杨真真,孙林慧.一种基于压缩感知的含噪语音信号重构方法及装置,20140604,中国,ZL201210357116.1,已授权.
[13] 周飞飞,杨真真,李雷.一种基于压缩感知的图像重构方法,20170616,中国,ZL201410854478.0,已授权.
[14] 石曼曼,李雷,杨真真.一种分段迭代匹配追踪算法的图像重构方法,20200424,中国,ZL201710088200.0,已授权.
[15] 宋欢欢,李雷,杨真真,郭青青.一种基于分块压缩感知的信号重构方法,20180403,中国,ZL 201510124656.9,已授权.
[16]
金正猛,赵敏钧,郭少健,冯子朋,杨真真.一种基于颜色转移和修正的图像着色方法,20180612,中国,ZL201610112647.2,已授权.
[17] 杨真真,陈亚楠,杨永鹏,陈亚杰,蔡云峰.一种基于Transformer的遮挡行人重识别方法, 申请号: 202211738758.6,已申请.
[18] 杨真真,林泽龙,杨永鹏,李佳奇.一种基于双路径异构图链路预测的音乐推荐方法, 申请号:202211550869.4,已申请.
[19] 杨真真,闫孟儒,杨永鹏,王东涛.基于邻居增强的图神经网络会话推荐方法、系统及设备, 申请号: 202210867990.3,已公开.
[20] 杨真真,王东涛,杨永鹏,闫孟儒. 基于时序增强的异构图推荐方法, 申请号: 202210842552.1,已公开.
[21] 杨真真,邵静,杨永鹏,杨震,蔡云峰.一种基于改进CycleGAN数据增强的行人重识别方法, 申请号: 202210463431.6,已公开.
[22] 杨真真,郑艺欣,杨永鹏,邵静. 基于扩张坐标注意力的改进YOLOv3目标检测方法, 申请号: 202111120554.1,已公开.
[23] 杨真真,孙雪,杨永鹏,杨震. 一种基于MEDU-Net+网络的医学图像分割方法和系统, 申请号:202110981758.8,已公开.
