文颖 - 华东师范大学 - 通信与电子工程学院

个人简介

致力于图像处理与人工智能领域研究，专注于医学图像处理、计算机视觉、机器学习、生物特征识别。先后主持国家自然科学基金面上项目、科技部、上海市科委、上海市教委等省部级以及企事业横向项目十余项。发表学术论文70余篇，包括IEEE Trans. Image Processing、IEEE Trans. Information Forensics and Security、IEEE Trans. ITS、IEEE Trans. CSVT、Neural Networks、Pattern Recognition、Neurocomputing、CVPR、MICCAI、AAAI、ICIP、ICASSP等多篇。申请发明专利二十余项，获授权8项。入选上海市浦江人才计划，上海市优秀技术带头人，获2015年度上海市科技进步一等奖、2019年度上海市科技进步二等奖、2019年度教育部科技进步二等奖，2022年度上海市科技进步一等奖。教育经历上海交通大学，电子信息与电气工程学院，博士研究生上海大学，自动化学院，硕士研究生合肥工业大学，电气工程学院自动化系，本科工作经历华东师范大学，通信与电子工程学院，教授华东师范大学，计算机科学与技术系，副教授美国哥伦比亚大学，脑图像实验室，博士后邮政科学上海研究院，研究开发部，高级工程师荣誉及奖励 2022年上海市科技进步一等奖 2021年上海市优秀技术带头人 2019年上海市科技进步二等奖 2019年教育部科技进步二等奖 2015年上海市科技进步一等奖 2012年上海市浦江人才计划

研究领域

计算机视觉、图像分析与理解、机器学习

近期论文

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部分期刊论文 Luyang Li, Tai Ma, Yue Lu, Qingli Li, Lianghua He, Ying Wen*, A multi-grained unsupervised domain adaptation approach for semantic segmentation, Pattern Recognition, 144 (2023) 109841. Xinxin Shan, Tai Ma, Ying Wen*, Prediction of common labels for universal domain adaptation, Neural Networks, 165 (2023) 463-471. Xinxin Shan, Tai Ma, Yutao Shen, Jiafeng Li, Ying Wen*, KAConv: Kernel attention convolutions, Neurocomputing, 514 (2022) 477-485. Xinxin Shan, Yutao Shen, Haibin Cai, Ying Wen*, Convolutional neural network optimization via channel reassessment attention module, Digital Signal Processing, 123 (2022) 103408. 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, Vol.31, No.11, November, 2021, 4347-4356. 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. 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. 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. Ying Wen, Le Zhang, Face Recognition Using Discriminative Locality Preserving Vectors, Digital signal processing, 50(2016) 103-113. 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. Xiaohua Wei, Shujing Lu, Ying Wen, Yue Lu. Recognition of Handwritten Chinese Address with Writing Variations, Pattern Recognition Letters, 73(2016):68-75. 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. Ying Wen, A statistical approach to segmentation of diffusion tensor imaging, Bio-medical Materials and Engineering, 2014, 24:1253-1259. Lianghua He, 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. 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. Ying Wen, Pengfei Shi, Face recognition using difference vector plus KPCA, Digital Signal Processing, 2012, 22(1): 140-146. Ying Wen, A classifier for Bangla handwritten numeral recognition, Expert Systems with Applications, 2012, 39(1): 948-953. Ying Wen, An improved discriminative common vectors and support vector machine based face recognition approach, Expert Systems with Applications, 2012, 39(4): 4628-4632. Ying Wen, Yue Lu, et al., An algorithm for license plate recognition applied to intelligent transportation system, IEEE transaction on intelligent transportation system, 2011, 12(3): 830-845. 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. Ying Wen, et al., Handwritten Bangla numeral recognition system and its application to postal automation, Pattern Recognition, 2007, 40(1): 99-107. 顾安琪, 单昕昕, 文颖*, 集成相异性准则与熵率超像素的图像分割模型,中国图象图形学报, 2022, 27(11): 3267-3279. 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. 单昕昕,文颖*,李凯, 集成全尺度融合和循环注意力的医学图像分割网络, 计算机科学, 2023, 录用. 部分会议论文 Tai Ma, Suwei Zhang, Jiafeng Li, Ying Wen*, IIRP-Net: Iterative Inference Residual Pyramid Network for Enhanced Image Registration, CVPR, 2024. Jiafeng Li, Zelin Li, Ying Wen*, EAN: An Efficient Attention Module Guided by Normalization for Deep Neural Networks, AAAI, 2024. Tai Ma, Xinru Dai, Ying Wen*, PIViT: Large Deformation Image Registration with Pyramid-Iterative Vision Transformer, MICCAI, 2023. Hao Zeng, Xin Shan, Yu Feng, Ying Wen*, MSAANet: Multi-scale Axial Attention Network for medical image segmentation, ICME, 2023. Jiafeng Li, Ying Wen*, et al. SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy, CVPR, 2023. Xinru Dai, Tai Ma, Haibin Cai, Ying Wen*, Unsupervised hierarchical translation-based for multi-modal medical image registration, ICASSP, 2022. Xinxin Shan, Tai Ma, Anqi Gu, Haibin Cai, Ying Wen*, TCRNET: make transformer, CNN and RNN complement each other, ICASSP, 2022. Xinxin Shan, Ying Wen*, Qingli Li, Yue Lu, Haibin Cai, Coherent Cooperative Learning Framework Based on Transfer Learning for Unsupervised Cross-Domain Classification, MICCAI, 2021. Xinxin Shan, Ying Wen*, A New Framework based on Transfer Learning for Cross-database Pheumonia Detection, ICASSP, 2021. Xinxin Shan, Ying Wen*, Gaussian Mixture Model Based Semi-supervised Sparse Representation for Face Recognition, MMM, 2021. Ying Wen, Kai Xie, Segmenting Medical MRI via Recurrent Decoding Cell, AAAI, 2020. Cheng Xu, Ying Wen*, et al. Fractional order derivate based Log-demons with driving force for high accurate image registration, ICASSP, 2019. Kai Xie, Ying Wen*, LSTM-MA: A LSTM method with multi-modality and adjacency constraint for brain image segmentation, ICIP, 2019. Jialiang Hu and Ying Wen*, Adaptive Fuzzy Clustering Algorithm with Local Information and Markov Random Field for Image Segmentation, ICONIP, 2018. Zixing Zhang, Ying Wen*, Inertial Constrained Hierarchical Belief Propagation for Optical Flow, PRICAI, 2018. Shicheng Yang, Ying Wen*, Sparse low-rank component coding for face recognition with illumination and corruption, ICASSP, 2018. Ying Wen, A Novel Dictionary Based SRC for Face Recognition, ICASSP, 2017. Yangshi Cheng, Ying Wen*, A novel SRC based method for face recognition with low quality images, ICIP, 2017. Ying Wen, Shicheng Yang, Lili Hou and Hongda Zhang, Face Recognition using Locality Sparsity Preserving Projections, IJCNN, 2016. Le Zhang and Ying Wen*, Log-Demons with Driving Force for Large Deformation Image Registration, IJCNN, 2016. Ying Wen, Lili Hou, Null Space based Discriminant Sparse Representation Large Margin for Face Recognition, IJCNN, 2015. Lili Hou, Le Zhang, Qiuying Yang, Ying Wen*, An Extended Fuzzy Local Information C-Means Clustering Algorithm, IJCNN, 2015. Qiuying Yang, Ying Wen*, Zernike Moments Descriptor Matching based Symmetric Optical Flow for Motion Estimation and Image Registration, IJCNN, 2014. Ying Wen et al., A Highly Accurate, Optical Flow Based Algorithm for Nonlinear Spatial Normalization of Diffusion Tensor Images, IJCNN, 2013. Ying Wen, Yue Lu, Discriminative common vectors based on the Gram-Schmidt reorthogonalization for the small sample size problem, ICASSP, 2012. Ying Wen et al., An improved locally linear embedding for sparse data sets, ICIP, 2010. Ying Wen, Pengfei Shi, A Novel Classifier for Handwritten Numeral Recognition, 2008 ICASSP, 2008. Ying Wen, Pengfei Shi, Image PCA: A new approach for face recognition, ICASSP, 2007.

学术兼职

IEEE member CCF 会员中国图象图形学学会会员