个人简介:
王瑜,女,教授,博士研究生导师,电子信息系主任,2011年6月清华大学多维多尺度计算摄像北京市重点实验室优秀博士后出站,并于同年7月入职obao欧宝娱乐 ,2012年入选北京市组织部优秀人才,2014年入选北京市属高校青年拔尖人才,2015年入选北京市高创计划青年拔尖人才,2019年入选obao欧宝娱乐 高层次人才队伍建设团队,享受年薪待遇。
科研工作经历:
2019.10 -至今obao欧宝娱乐教授博士生导师
2012.10-2019.09obao欧宝娱乐副教授硕士生导师
2011.07- 2012.09obao欧宝娱乐讲师
2009.04 - 2011.06清华大学博士后
2005.09 - 2009.04北京科技大学工学博士
2016.02-2017.02美国宾夕法尼亚大学医学院放射系访问学者
联系方式
邮箱(Email):wangyu@btbu.edu.cn
电话(Tel.):+86-010-68985506
主讲课程:模式识别,数据挖掘,图像工程等。
主要研究领域:人工智能,模式识别,图像处理,基于大数据的系统建模与分析。
主要学术成果
近年来已在科学出版社出版学术专著3部,在Optics Letters、Optics Communications、Optical Engineering、Journal of Visual Communication and Image Representation、电子学报、ICPR等国际国内期刊与会议发表论文百余篇,其中SCI收录20余篇。申请国家发明专利23项,其中已授权19项,获批软件著作权9项。主持国家自然科学基金面上项目2项,北京市“高创计划”青年拔尖人才资助项目1项,北京市自然基金-北京市教委重点联合基金项目1项,北京市自然科学基金面上项目1项,北京市属高等学校高层次人才引进与培养计划项目1项,北京市组织部优秀人才培养资助项目1项,中国博士后科学基金面上项目1项,国家留学基金委资助项目1项,obao欧宝娱乐 青年教师科研启动基金项目1项。目前为中国教育发展战略学会人工智能与机器人教育专业委员会常务理事,中国人工智能学会生物信息学与人工生命专委会委员,中国自动化学会、中国电子学会、中国人工智能学会和中国计算机学会高级会员,CCF YOCSEF委员,Optics Letters、Optics Communications、IEEE Transactions on Instrumentation & Measurement等国际期刊审稿人,国家自然科学基金函评专家。
主持项目:
[1]融合结构和功能磁共振成像的阿尔茨海默型痴呆辅助鉴别关键技术研究,国家自然科学基金面上资助项目(No. 61671028)(已结题);
[2]荧光显微样本3D重建与分析关键技术研究,国家自然科学基金面上资助项目(No. 61171068)(已结题);
[3]基于多模态磁共振成像与深度学习的脑肿瘤辅助诊断关键技术研究,北京市自然科学基金-北京市教育委员会科技计划重点项目联合项目(No. KZ202110011015)(在研);
[4]免于释文解释的精细图像分类新方法研究,北京市自然科学基金面上资助项目(No.4162018)(已结题);
[5]绿色植物物种识别关键技术研究,北京市“高创计划”青年拔尖人才支持计划项目(No. 2014000026833ZK14)(已结题);
[6]计算机视觉中从属层对象分类关键技术研究,北京市属高等学校高层次人才引进与培养计划项目(No.CIT&TCD201504010)(已结题);
[7]3D光场显微镜基础理论研究,北京市优秀人才培养资助项目(No. 2012D005003000010)(已结题);
[8]基于磁共振成像的脑部疾病的分析与诊断,国家留学基金委公派高级研究学者及访问学者资助项目(No.201508110012)(已结题);
[9]微观光场高质量获取与三维重建研究,中国博士后科学基金面上资助项目(No. 20100480273)(已结题);
[10]薄样本显微图像3D重建与分析,obao欧宝娱乐 青年教师科研启动基金项目(No. QNJJ2012-22)(已结题)。
出版专著:
王瑜,《局部边缘模式及应用》,科学出版社,2020;
王瑜,《荧光显微图像3D重建技术与应用》,科学出版社,2015;
王瑜,《多模态生物特征识别——基于人脸与人耳信息》,科学出版社,2013。
发表文章:
[1]Yu Wang*, Yarong Ji, Hongbing Xiao.A data augmentation method for fully automatic brain tumorsegmentation[J].Computers inbiology and medicine, 2022, 149: 106039.(SCI, EI)
[2]Yu Wang*, Jiantong Shi, Hongbing Xiao.Using Regularized Multi-Task Learning for Schizophrenia MRI Data Classification[J].Journal of Integrative Neuroscience,2022, 21(4):119.(SCI, EI)
[3]Yahu Yang, Xiangzhou Gao, Yu Wang, Shenmin Song.VAMYOLOX: anaccurate andeffificientobjectdetectionalgorithmbased onvisualattentionmechanism for UAVopticalsensors[J].IEEE SENSORS JOURNAL,2022.DOI:10.1109/JSEN.2022.3219199.(SCI, EI)
[4]Jiantong Shi, Yu Wang*.Dual-Template Siamese Network with Attention Feature Fusion for Object Tracking[J].Radioengineering,2022.(accepted,SCI, EI)
[5]Xiaoyan Luo, Sen Li, Yu Wang,et al.MaMiNet: Memory-attended multi-inference network for surface-defect detection[J].Computers in Industry,2023,145:103834.(SCI, EI)
[6]Yu Wang*, Ning Gong, Changyang Fu.Major depression disorder diagnosis and analysis based onstructural magnetic resonance imaging and deep learning[J].Journal of Integrative Neuroscience,2021,20(4):977-984.(SCI, EI)
[7] Yu Wang*, Mengru Sun, Yifan Duan.Metagenomic Sequencing Analysis for Acne Using MachineLearning Methods Adapted to Single or Multiple Data[J].Computational and Mathematical Methods in Medicine, 2021, 2021:8008731-1-11. (SCI, EI)
[8]Yu Wang*, Xi Liu, Chongchong Yu.Assisted Diagnosis of Alzheimer’s Disease Based on Deep Learning and Multimodal Feature Fusion[J].Complexity, 2021, 2021: 6626728-1-10. (SCI, EI)
[9]Hongfei Jia, Yu Wang*, Yifan Duan, Hongbing Xiao.Alzheimer’s Disease Classification Based on ImageTransformation and Features Fusion[J].Computational and Mathematical Methods in Medicine, 2021, 2021:9624269-1-11. (SCI, EI:)
[10]Changchun Zhang, Qingjie Zhao, Yu Wang.Hybrid adversarial network for unsupervised domain adaptation[J].Information Sciences, 2020, 514: 44-55.(SCI, EI)
[11]Changchun Zhang, Qingjie Zhao, Yu Wang. Transferable attention networks foradversarial domain adaptation[J].Information Sciences, 2020,539:422-433.(SCI, EI)
[12]Yu Wang*,Changsheng Li,Ting Zhu,Jingyang Zhang.Multimodal brain tumor image segmentation using WRN-PPNet[J].Computerized Medical Imaging and Graphics.2019, 75: 56-65.(SCI, EI)
[13]Wang Yu*, Zhang Na, et al. Magnetic Resonance Imaging Study of Gray Matter Based on XGBoost in Schizophrenia[J].Journal of Integrative Neuroscience, 2018, 17(4): 331-336. (SCI, EI)
[14]Yu Wang*, Na Zhang, Huaixin Yan. Using Local Edge Pattern Descriptors for Edge Detection[J].International Journal of Pattern Recognition and Artificial Intelligence, 2018, 32(3): 1-16.(SCI, EI)
[15]YuWang*,Xiaomeng Chen, Qiang Cai, Haisheng Li.Common Green Plants Recognition Based on Wavelet Transformation and Varied Local Edge Patterns[J].International Journal of Pattern Recognition and Artificial Intelligence, 2018, 32(12): 1850045-1-14.(SCI,EI))
[16]Yu Wang*, Yongsheng Zhao, et al.A varied local edge pattern descriptor and its application to texture classification[J].Journal of Visual Communication and Image Representation, 2016, 34(1): 108-117.(SCI, EI)
[17]YuWang*, HuanJiang. Three-dimensional reconstruction of microscopic images using different order intensity derivatives[J].Optical Engineering, 2015, 54(2): 023103-023103.(SCI, EI)
[18]Yu Wang*, Yongsheng Zhao,et al.Texture Classification Using Rotation Invariant Models on Integrated Local Binary Pattern and Zernike Moments[J].EURASIP Journal on Advances in Signal Processing, 2014,182(1): 1-12.(SCI, EI)
[19]YuWang*,Qionghai Dai, et al. Blinddeconvolution subject to sparse representation for fluorescence microscopy[J].OpticsCommunications, 2013, 286(1): 60-68.(SCI, EI)
[20]Yu Wang*, Dejian He, et al.Multimodalbiometricsapproachusingfaceandearrecognitiontoovercomeadverseeffectsofposechanges[J].Journal of Electronic Imaging, 2012, 21(4):043026-043026.(SCI, EI)
[21]Wang Yu*, Ji Xiangyang, Dai Qionghai. Fourth-order Oriented Partial-differential Equations for Noise Removal of Two-photon Fluorescence Images[J].Optics Letters, 2010, 35(17): 2943-2945.(SCI, EI)
[22] Wang Yu*, JI XiangYang, Dai QiongHai. Key Technologies of Light Field Capture for 3D Reconstruction in Microscopic Scene[J].Science in China Series F: Information Sciences, 2010, 53(10): 1917-1930.(SCI, EI)
[23] Wang Yu*, Ji Yarong.TensorMixup Data Augmentation Method for Fully Automatic Brain Tumor Segmentation[C].The26th International Conference on Pattern Recognition (ICPR22), Quebec,Canada, 2022.(EI)
[24] Yu Wang*, Changsheng Li,Ting Zhu,Chongchong Yu. A Deep Learning Algorithm for Fully Automatic Brain Tumor Segmentation[C].In proceedings ofInternational Joint Conference on Neural Networks (IJCNN),Budapest,Hungary,July 14-19, 2019. (EI)
[25]Yu Wang*, Huan Jiang.Light field creating and imaging with different order intensity derivatives[C].SPIE/COS Photonics Asia 2014:Optoelectronic Imaging and Multimedia Technology III, Beijing, China, October 9-11, 2014.(EI)
[26] Yu Wang*, Zhichun Mu, Hui Zeng. Block-based and Multi-resolution Methods for Ear Recognition Using Wavelet Transform and Uniform Local Binary Patterns[C].The 19th International Conference on Pattern Recognition (ICPR 08),Tampa, USA,2008.(EI)
[27]王瑜*,穆志纯,付冬梅.基于小波变换和规范型纹理谱描述子的人耳识别研究[J].电子学报, 2010, 38(1): 239-243.(EI)
专利与软著:
[1]戴琼海,王瑜.一种微观光场采集与三维重建方法及装置. (授权)
[2]戴琼海,王瑜.一种图像去噪方法(基于四阶偏微分方程与对比度增强).(授权)
[3]王瑜等.基于盲反卷积和稀疏表示的荧光显微图像复原方法和装置.(授权)
[4]王瑜等.一种人脸检测与跟踪方法及系统.(授权)
[5]王瑜等.相似图像分类方法及系统.(授权)
[6]王瑜等.基于局部二值模式和Zernike矩的纹理图像分类方法及系统.(授权)
[7]王瑜等.基于局部边缘模式的纹理图像分类方法及系统.(授权)
[8]王瑜.图像局部边缘模式与非边缘模式判别方法及其判别装置.(授权)
[9]王瑜等.基于图像强度各阶导数的荧光显微图像3D重建方法及装置.(授权)
[10]王瑜等.基于空间变化点扩散函数的荧光显微图像重建方法及系统.(授权)
[11]王瑜等.基于复合正则化技术的荧光显微图像3D重建方法及装置.(授权).
[12]王瑜等.一种基于多尺度多分辨率的方形算子边缘提取方法及系统.(授权)
[13]王瑜等.基于改进的分裂Bregman算法的荧光显微图像复原方法和装置.
[14]王瑜.一种基于颜色-形状特征的自动目标跟踪方法及系统.
[15]王瑜等.一种基于圆形算子的图像边缘提取方法和装置.(授权)
[16]王瑜等.基于多通路卷积神经网络的图像分类方法及系统.
[17]王瑜等.一种基于宽残差金字塔池化网络的图像分类方法及系统.(授权)
[18]王瑜等.基于LP正则化的多任务学习分类方法与系统.(授权)
[19]王瑜等.基于视觉显著性检测的高纹理图像分类方法及系统.
[20]王瑜等.基于分线性整数规划的卷纸分切和排产优化方法及系统.
[21]王瑜等.全自动机械设备安装泄露检测方法及装置.(授权)
[22]王瑜等.基于频率调谐全局显著度和深度学习的图像分割方法及系统.(授权)
[23]王瑜等.绿色植物识别系统V1.0.登记号:2014SR177053.
[24]王瑜等.基于视频文件的车牌分析系统V1.0.登记号:2014SR161214.
[25]王瑜等.荧光显微图像显示与分析系统V1.0.登记号:2015SR150801.
[26]王瑜等.人脸识别门禁系统V1.0.登记号:2016SR235108.
[27]王瑜等.荧光显微图像显示与分析系统V2.0.登记号:2016SR226823.
[28]王瑜等.卷纸分切系统软件V1.0.登记号:2018SR150801.
[29]王瑜等.基于骨架与色调的铅笔画生成系统V1.0.登记号:2020SR1066143.
[30]王瑜等.阿尔茨海默病辅助诊断系统V1.0版.登记号:2020SR1066161.
获奖情况:
[1]2021年,荣获obao欧宝娱乐本科生教育教学成果奖二等奖,排名第1;
[2]2019年,荣获obao欧宝娱乐 优秀研究生导师称号;
[3]2018年,荣获obao欧宝娱乐 科学技术奖三等奖,排名第1;
[4]2017年,荣获obao欧宝娱乐 研究生教育教学成果奖二等奖,排名第1;
[5]2010年,成果《光场处理理论与光场系统》通过教育部科技成果鉴定,排名第10;
[6]2022年,“青创北京”“挑战杯”首都大学生创业计划竞赛“青系四海”专项赛金奖指导教师;
[7]2022年,第十届全国大学生光电设计竞赛华北赛区一等奖,二等奖,优秀指导教师;
[8]2022年,第八届中国国际"互联网+"大学生创新创业大赛高教主赛道北京赛区三等奖;
[9]2022年,中国机器人及人工智能大赛北京赛区三等奖指导教师;
[10]2021年,第二十三界中国机器人及人工智能大赛国家级一等奖指导教师;
[11]2021年,北京高校大学生优秀创业团队二等奖指导教师;
[12]2021年,第七届中国国际“互联网+”大学生创新创业大赛(北京赛区)二等奖1项,三等奖1项指导教师;
[13]连续4年指导研究生荣获国家奖学金(2015姜欢,2016闫怀鑫,2017张娜,2018陈肖蒙),1人次荣获obao欧宝娱乐 和北京市普通高等学校优秀毕业生(2016闫怀鑫);
[14]2015年,院级优秀班主任,所带班级荣获校级优良学风班,北京市优秀班集体;
[15]2018年,国际虚拟现实技术及应用创新大赛(IVRTC2018)国际三等奖优秀指导教师;
[16]2014年,“中国软件杯”大学生软件设计大赛北京市一等奖、二等奖、全国优秀奖、最佳学校组织奖,以及优秀指导教师;
[17]2011年,作为指导教师参加全国大学生电子设计大赛,荣获北京市二等奖1组。
社会工作:
[1]2012-至今,IEEE (美国电气与电子工程师协会),会员;
[2]2013-至今,中国自动化学会,高级会员;
[3]2015-至今,中国电子学会,高级会员;
[4]2013-至今,中国人工智能学会,高级会员,生物信息学与人工生命专委会委员;
[5]2019-至今,中国教育发展战略学会人工智能与机器人教育专业委员会常务理事;
[6]2013-至今,中国计算机学会高级会员,YOCSEF委员;
[7]2012-至今,国家自然基金函评专家;
[8]2010-至今,Optics Letters、Optics Communications、IEEE Transactions on Instrumentation & Measurement、Journal of Electronic Imaging等国际期刊审稿人;
CurriculumVitae
Yu Wang
Email: wangyu@btbu.edu.cn
Tel.: +86-010-68985506
Educationand Employment
lOct.2019 ~ PresentProfessor,Beijing Technology and Business University,China
lOct.2012~Sep.2019Associate Professor,Beijing Technology and Business University,China
lJul.2011~Sep.2012Lecturer,Beijing Technology and Business University,China
lApr. 2009 ~ Jun. 2011Postdoctor,Tsinghua University,China
lSep. 2005 ~ Jan. 2009Ph. D.,University of Science and Technology Beijing, China
lFeb. 2016~Feb.2017Visiting Scholar,University of Pennsylvania, USA
Research Interests
lImage processing
lPattern recognition
lComputer vision
Projects
Principal Investigator
lKey Technologies Research on 3D Reconstruction of Fluorescence MicroscopicSpecimen. National NaturalScienceFoundation of China(No. 61171068)
lKey Technologies Research on aided discrimination of Alzheimer'sdisease fusing structural and functional magnetic resonance imaging. National NaturalScienceFoundation of China(No.61671028)
lKey Technologies Research on Aided Diagnosis of Brain Glioma Based on Multi-model Magnetic Resonance and Deep Learning. Joint Project ofBeijing Natural Science FoundationandBeijing Municipal Education Commission(No. KZ202110011015)
lNew annotation-free methods research on fine-grained image categorization. BeijingNaturalScienceFoundation(No. 4162018)
lAnalysis and Diagnosis forHuman Brain Diseasesbased onMagnetic Resonance Imaging.Foundation ofChina Scholarship Council(No. 201508110012)
lKey Technologies Research onObject Categorization Belonging toSubordinateLevel.The Importation and Development of High-Caliber Talents Project ofBeijing Municipal Institutions(No.CIT&TCD201504010)
lKey Technologies Research ongreen plant recognition. Beijing Talents Fund(No.2014000026833ZK14)
lResearch onHigh-qualityAcquisition and 3DReconstruction forMicroscopicLightField.ChinaPostdoctoralScienceFoundation(No. 20100480273)
lResearch on Basic Theories of 3D Light Field Microscope.Excellent TalentsTraining Foundation of Beijing (No. 2012D005003000010)
l3DReconstruction andAnalysis onMicroscopicImages ofThinSpecimen.Research Foundation for Youth Scholars of BeijingTechnology and Business University (No. QNJJ2012-22).
Participator
lMulti-dimensionMediaPerception andUnderstanding ofDataDriven.National NaturalScienceFoundation of China(No.61035002)
lResearch onMultimodalBiometricsRecognitionBased ontheInformationFusion ofFace andEar.National NaturalScienceFoundation of China(No.60573058)
lResearch onEarRecognitionTechnologies.National NaturalScienceFoundation of China(No.60375002)
Publications
Books
[1]Yu Wang. Local edge pattern and its application.China, Beijing: Science Press, 2020.10.
[2]Yu Wang. 3D reconstruction technologies and applications offluorescencemicroscopic images. China, Beijing: Science Press, 2015.10.
[3] Yu Wang. Multi-modal biometrics recognition based on face and ear. China,Beijing: SciencePress, 2013.12.
Papers
[1]Yu Wang*, Xi Liu, Chongchong Yu.Assisted Diagnosis of Alzheimer’s Disease Based on Deep Learning and Multimodal Feature Fusion[J].Complexity, 2021.https://doi.org/10.1155/2021/6626728.
[2]Zhang Changchun, Zhao Qingjie, Wang Yu. Hybrid adversarial network for unsupervised domain adaptation[J].Information Sciences, 2020, 514: 44-55.
[3]Zhang Changchun, Zhao Qingjie, Wang Yu.Transferable Attention Networks for Adversarial Domain Adaptation.Information Sciences, 2020, 539: 422-433.
[4]Yu Wang*, Changsheng Li,Ting Zhu,Jingyang Zhang.Multimodal brain tumor image segmentation using WRN-PPNet.Computerized Medical Imaging and Graphics. 2019, 75: 56-65.
[5]Wang Yu*, Zhang Na, et al. Magnetic Resonance Imaging Study of Gray Matter Based on XGBoost in Schizophrenia.Journal of Integrative Neuroscience, 2018, 17(4): 331-336.
[6]Yu Wang*, Na Zhang, Huaixin Yan. Using Local Edge Pattern Descriptors for Edge Detection.International Journal of Pattern Recognition and Artificial Intelligence, 2018, 32(3): 1-16.
[7]YuWang*,Xiaomeng Chen, Qiang Cai, Haisheng Li.Common Green Plants Recognition Based on Wavelet Transformation and Varied Local Edge Patterns.International Journal of Pattern Recognition and Artificial Intelligence, 2018, 32(12): 1850045-1-14.
[8]Yu Wang*, Yongsheng Zhao, et al. A varied local edge pattern descriptor and its application to texture classification.Journal of Visual Communication and Image Representation, 2016, 34(1): 108-117.
[9]YuWang*, HuanJiang. Three-dimensional reconstruction of microscopic images using different order intensity derivatives.Optical Engineering, 2015, 54(2): 023103-023103.
[10]Yu Wang*, Yongsheng Zhao,et al.Texture Classification Using Rotation Invariant Models on Integrated Local Binary Pattern and Zernike Moments.EURASIP Journal on Advances in Signal Processing, 2014, 182(1): 1-12.
[11]YuWang*,Qionghai Dai, et al. Blinddeconvolution subject to sparse representation for fluorescence microscopy.OpticsCommunications, 2013, 286(1): 60-68.
[12]Yu Wang*, Dejian He, et al.Multimodal biometrics approach using face and ear recognition to overcome adverse effects of pose changes.Journal of Electronic Imaging, 2012, 21(4):043026-043026.
[13]Wang Yu*, Ji Xiangyang, Dai Qionghai. Fourth-order Oriented Partial-differential Equations for Noise Removal of Two-photon Fluorescence Images.Optics Letters, 2010, 35(17): 2943-2945.
[14]Wang Yu*, JI XiangYang, Dai QiongHai. Key Technologies of Light Field Capture for 3D Reconstruction in Microscopic Scene.Science in China Series F: Information Sciences, 2010, 53(10): 1917-1930.
[15]Yu Wang*, Changsheng Li,Ting Zhu,Chongchong Yu. A Deep Learning Algorithm for Fully Automatic Brain Tumor Segmentation.In proceedings ofInternational Joint Conference on Neural Networks (IJCNN),Budapest,Hungary,July 14th-19th, 2019.
[16]Yu Wang*, Huan Jiang.Light field creating and imaging with different order intensity derivatives.SPIE/COS Photonics Asia 2014:Optoelectronic Imaging and Multimedia Technology III, Beijing, China, October 9-11, 2014.
[17]Yu Wang*, Zhichun Mu, Hui Zeng. Block-based and Multi-resolution Methods for Ear Recognition Using Wavelet Transform and Uniform Local Binary Patterns.The 19th International Conference on Pattern Recognition (ICPR), Tampa, USA, 2008.