Wenying

Medical image processing; Documentary analysis; Machine learning; Biometrics recognition

Digital Image Processing, Image Analysis, Artificial Intelligence

期刊论文：

1.     Xinxin Shan, Yue Lu, Qingli Li and Ying Wen*, Model-based Transfer Learning and Sparse Coding for Partial Face Recognition, IEEE Transactions on Circuits and Systems for Video Technology, online, doi: 10.1109/TCSVT.2020.3047140.

2.     Ying Wen, Cheng Xu, Yue Lu, Qingli Li et al., Gabor Feature-Based LogDemons with Inertial Constraint for Nonrigid Image Registration, IEEE Transactions on Image Processing, Vol. 29, 2020, 8238-8250.

3.     Ying Wen, Le Zhang, et al., Incorporation of Structural Tensor and Driving Force into Log-Demons for Large-deformation Image Registration, IEEE Transactions on Image Processing, Vol. 28, No. 12, December 2019, 6091-6102.

4.     Shicheng Yang, Le Zhang, Ying Wen*, Sparse Low-Rank Component-Based Representation for Face Recognition with Low-Quality Images, IEEE Transaction on Information Forensics and Security, vol. 14, no. 1, January 2019, 251-261.

5.    Ying Wen, Le Zhang, Face Recognition Using Discriminative Locality Preserving Vectors, Digital signal processing, 50(2016) 103-113.

6.     Ying Wen, Le Zhang, Lili Hou, Discriminant Sparsity Preserving Analysis for Face Recognition, International journal of pattern recognition and artificial intelligence, 30(2) 2016, 1656003-1-12.

7.     Xiaohua Wei, Shujing Lu, Ying Wen, Yue Lu. Recognition of Handwritten Chinese Address with Writing Variations, Pattern Recognition Letters, 73(2016):68-75.

8.     Ying Wen et al., A Highly Accurate Symmetric Optical Flow based High-Dimensional Nonlinear Spatial Normalization of Brain Images, Magnetic Resonance Imaging 33 (2015) 465-473.

9.      Ying Wen, A statistical approach to segmentation of diffusion tensor imaging, Bio-medical Materials and Engineering, 2014, 24:1253-1259.

10.   Ying Wen et al., Multi-channel features based automated segmentation of diffusion tensor imaging using an improved FCM with spatial constraints, Neurocomputing, 2014, 137: 107-114.

11.   Ying Wen, Karen M. von Deneen, Yue Lu, Brain tissue classification based on DTI using an improved Fuzzy C-means algorithm with spatial constraints, Magnetic Resonance Imaging, 2013, 31(9):1623-1630.

12.   Ying Wen, Pengfei Shi, Face recognition using difference vector plus KPCA, Digital Signal Processing, 2012, 22(1): 140-146.

13.   Ying Wen, A classifier for Bangla handwritten numeral recognition, Expert Systems with Applications, 2012, 39(1): 948-953.

14.   Ying Wen, An improved discriminative common vectors and support vector machine based face recognition approach, Expert Systems with Applications, 2012, 39(4): 4628-4632.

15.   Ying Wen et al., An algorithm for license plate recognition applied to intelligent transportation system, IEEE transaction on intelligent transportation system, 2011, 12(3): 830-845.

16.   Ying Wen, Pengfei Shi, An improved locally linear embedding for sparse data sets, International Journal of Pattern Recognition and Artificial Intelligence, 2011, 25(5): 763-775.

17.   Ying Wen, Yue Lu, Pengfei Shi, Handwritten Bangla numeral recognition system and its application to postal automation, Pattern Recognition, 2007, 40(1): 99-107.

18.   Yue Lu, Xiaofu He, Ying Wen, Wang P.S.P, A new cow identification system based on iris analysis and recognition, International Journal of Biometrics, 2014, 6(1): 18-32.

19.  Ying Wen et al., Reduced field-of-view DTI segmentation of cervical spine tissue, Magnetic Resonance Imaging, 2013, 31(9): 1507-1514.

20.   Ying Wen et al., A conditional Granger causality model approach for group analysis in functional magnetic resonance imaging, Magnetic Resonance Imaging,2011,29(3):418-433.

21.   Ying Wen et al., Automated artifact detection and removal for improved tensor estimation in motion-corrupted DTI data sets using the combination of local binary patterns and 2D partial least squares, Magnetic Resonance Imaging, 2011, 29(2): 230-242.

22.   张子星，文颖*，基于分层置信度传播的光流估计方法，计算机系统应用，2018,27(9):25-32.

会议论文：

1.     Xinxin Shan, Ying Wen*, A New Framework based on Transfer Learning for Cross-database Pheumonia Detection, ICASSP 2021, 1235-1239.

2.      Xinxin Shan, Ying Wen*, Gaussian Mixture Model Based Semi-supervised Sparse Representation for Face Recognition, MMM 2021, LNCS 12572, 716–727, 2021.

3.     Ying Wen, Kai Xie, Segmenting Medical MRI via Recurrent Decoding Cell, The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20). 12452-12459.

4.     Cheng Xu, Ying Wen*, Bing He, Fractional order derivate based Log-demons with driving force for high accurate image registration, IEEE International Conference on Acoustics, Speech and Signal Processing, 1997-2001, Brighton, United Kingdom, 2019.

5.     Kai Xie, Ying Wen*, LSTM-MA: A LSTM method with multi-modality and adjacency constraint for brain image segmentation, IEEE International Conference on Image Processing, Sep.22-25, 2019, TaiPei, Taiwan, 240-244.

6.     Jialiang Hu and Ying Wen*, Adaptive Fuzzy Clustering Algorithm with Local Information and Markov Random Field for Image Segmentation, ICONIP 2018, LNCS 11304, pp. 170–180, 2018.

7.     Zixing Zhang, Ying Wen*, Inertial Constrained Hierarchical Belief Propagation for Optical Flow, PRICAI 2018, LNAI 11012, pp. 574–587, 2018.

8.     Shicheng Yang, Ying Wen*, Sparse low-rank component coding for face recognition with illumination and corruption, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2018), 1693-1697.

9.     Bing He, Ying Wen, Fully convolution neural network combined with K-means clustering algorithm for image segmentation, Tenth international Conference of Digital Image Processing, 2018, Shanghai, China, vol.108062o-1.

10.   Ying Wen, A Novel Dictionary Based SRC for Face Recognition, IEEE International Conference on Acoustics, Speech and Signal Processing, 2582-2586, New Orleans, USA, 2017.

11.   Yangshi Cheng, Ying Wen*, A novel SRC based method for face recognition with low quality images, ICIP2017, Beijing, China, 3805-3809.

12.   Ying Wen, Shicheng Yang, Lili Hou and Hongda Zhang, Face Recognition using Locality Sparsity Preserving Projections, International Joint Conference on Neural Networks, 2016, pp.3600-3607.

13.   Le Zhang and Ying Wen*, Log-Demons with Driving Force for Large Deformation Image Registration, International Joint Conference on Neural Networks, 2016, pp.3052-3059.

14.   Ying Wen, Lili Hou, Null Space based Discriminant Sparse Representation Large Margin for Face Recognition, 2015 International Joint Conference on Neural Networks (IJCNN2015), 1-8.

15.   Lili Hou, Le Zhang, Qiuying Yang, Ying Wen*, An Extended Fuzzy Local Information C-Means Clustering Algorithm, 2015 International Joint Conference on Neural Networks (IJCNN2015), 1-8.

16.   Qiuying Yang, Ying Wen*, Zernike Moments Descriptor Matching based Symmetric Optical Flow for Motion Estimation and Image Registration, 2014 International Joint Conference on Neural Networks (IJCNN2014), 350-357, 2014.7.6-2014.7.11.

17.   Ying Wen et al., A Highly Accurate, Optical Flow Based Algorithm for Nonlinear Spatial Normalization of Diffusion Tensor Images,2013 International Joint Conference on Neural Networks (IJCNN2013), 1-8, 2013.8.4-2013.8.9.

18.   Ying Wen, Yue Lu, Discriminative common vectors based on the Gram-Schmidt reorthogonalization for the small sample size problem, IEEE International Conference on Acoustics, Speech and Signal Processing, 1325-1328, Kyoto, 2012.03.25-2012.03.30.

19.   Ying Wen, Yue Lu, Discriminative common vectors based on the Gram-Schmidt reorthogonalization for the small sample size problem, IEEE International Conference on Acoustics, Speech and Signal Processing, 1325-1328, Kyoto, 2012.03.25-2012.03.30.

20.   Ying Wen et al., An improved locally linear embedding for sparse data sets, Proceedings of 2010 IEEE 17th International Conference on Image Processing, 2010.09.26-2010.09.29.

21.   Ying Wen, Pengfei Shi, A Novel Classifier for Handwritten Numeral Recognition, 2008 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2008.03.30-2008.04.04.

22.   Ying Wen, Pengfei Shi, An Approach to Numeral Recognition based on Improved LDA and Bhattacharyya Distance, The third international symposium on Communications, Control and Signal Processing, 2008.03.12-2008.03.14.

23.   Ying Wen, Pengfei Shi, Image PCA: A new approach for face recognition, 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2007.04.15-2007.04.20.

专利：

1. 文颖，阳求应，一种非刚性脑图像配准方法, ZL201310703933.2

2. 文颖，侯丽丽，张乐，一种鲁棒性的FCM图像分割方法, CN105654453B 

3. 文颖，张洪达, 侯丽丽，一种基于共同向量词典的稀疏表示分类器, CN105574475B 

4. 文颖，叶慎林，一种多路多通道高速数据流的实时分包解析方法, CN107172037B

5. 文颖，蒋婷，吕岳，一种塑封邮件图像地址块定位方法, CN201610801172.8

6. 文颖，谢恺，一种基于超像素和长短时记忆网络的图像分割方法，201811560271.7

7. 文颖，单昕昕，一种基于卷积神经网络和稀疏表示的部分人脸识别方法，202010267944.0

8. 文颖，沈庾涛，一种提高卷积神经网络分类性能的算法，201911291641.6

软件著作权

1. 基于复杂环境的车牌识别系统V1.0，No. 2014SR091540

2. 多路多通道数据流实时解析系统 [简称：数据流解析系统]V1.0，No. 2017SR672388

3. 基于模糊聚类和马尔可夫模型的图像分割软件V1.0，No. 2019SR0101614