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华东师范大学通信与电子工程学院导师教师师资介绍简介-王妍

本站小编 Free考研考试/2021-01-16

王妍 青年研究员紫江青年研究员
通信与电子工程学院??????


导航
个人资料
研究方向
开授课程
科研项目
学术成果
荣誉及奖励







个人资料
部门: 通信与电子工程学院
毕业院校: 新加坡南洋理工大学
学位: 博士
学历: 研究生
邮编:
联系电话:
传真:
电子邮箱: ywang@cee.ecnu.edu.cn
办公地址: 华东师范大学(闵行)信息楼
通讯地址: 上海市闵行区东川路500号华东师范大学信息楼524

教育经历
Ph.D., School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 2017. Advisor: Prof. Alex Kot.
B.E., Information Engineering, Huazhong University of Science and Technology, Wuhan, China 2011.


工作经历
Oct 2020– Present,Zijiang Young Scholar,School of Communication and Electronic Engineering,East China Normal University
Feb 2017 – Aug 2020,Postdoc Researcher, Dept of Computer Science, John Hopkins University. Advisor: Prof. Alan Yuille (Prof. Stephen Hawking's PhD student)
Feb 2016 – Jan 2017,Research Scholar, Dept of Electrical and Electronic Engineering, The Ohio State University. Advisor: Prof.Aleix Martinez

个人简介
Yan Wang received her B.E. degree in electronics and information engineering from Huazhong University of Science and Technology in 2011, and completed her Ph.D. in electrical and electronic engineering at NanyangTechnological University in 2017. She was a research scholar with the Department of Electrical and Computer Engineering at the Ohio State University (2016-2017). She then held a postdoctoral position with the Center for Imaging Science, the Johns Hopkins University (2017-2020). She is currently a Zijiang Young Scholar at the School of Communication and Electronic Engineering at East China Normal University. She has over 30 peer-reviewed publications in medical image analysis and computer vision related areas, including IEEE Trans. PAMI, IEEE Trans. Image Processing, IEEE Trans. Medical Imaging, IEEE Trans. Multimedia, Medical Image Analysis, CVPR, ICCV and MICCAI. She served as a Guest Editor for theEURASIP Journal on Image and Video Processingspecial issue on ‘Modeling and Representation for Big Visual Data’ in 2018. She was the recipient ofNanyang Engineering Doctoral Scholarship (NEDS) award in 2011.

社会兼职


研究方向
Medical Imaging,Computer Vision,Skeleton-Based Shape Modeling, Object Recognition


开授课程


科研项目


学术成果
Selected publications:
1. Yan Wang, Xu Wei, Fengze Liu, Jieneng Chen, Yuyin Zhou, Wei Shen, Elliot Fishman, Alan Yuille. Deep Distance Transform for Tubular Structure Segmentation in CT Scans. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), Seattle, USA, 2020 (Oral presentation)
2.Wei Shen, Yilu Guo,Yan Wang*, Kai Zhao, Bo Wang, Alan Yuille. Deep Differentiable Random Forests for Age Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 (*Corresponding author)
3. Yan Wang, Yuyin Zhou, Wei Shen, Seyoun Park, Elliot Fishman and Alan Yuille. Abdominal Multi-organ Segmentation with Organ-attention Networks and Statistical Fusion. Medical Image Analysis, 2019
4.Lingxi Xie, Qihang Yu, Yuyin Zhou, Yan Wang*, Elliot Fishman and Alan Yuille. Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans. IEEE Transactions on Medical Imaging, 2019 (*Corresponding author)
5. Yan Wang, Yuyin Zhou, Peng Tang, Wei Shen, Elliot Fishman and Alan Yuille. Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound. International Conference on Medical Image Computing and Computer Assisted Intervention(MICCAI), Granada, Spain, 2018 (Early accept)
6. Ruiqi Zhao, Yan Wangand Aleix M. Martinez. A Simple, Fast and Highly-Accurate Algorithm to Recover 3D Shape from 2D Landmarks on a Single Image. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017
7. Fabian Benitez-Quiroz, Yan Wang, and Aleix M. Martinez. Recognition of Action Units in the Wild with Deep Nets and a New Global-Local Loss. IEEE International Conference on Computer Vision (ICCV), Venice, Italy, 2017
8.Yan Wang, Sheng Li, and Alex C. Kot. On Branded Handbag Recognition. IEEE Transactions on Multimedia, 2016
9. Yan Wang, Sheng Li, and Alex C. Kot. DeepBag: Recognizing Handbag Models. IEEE Transactions on Multimedia, 2015
10. Yan Wang, Sheng Li, and Alex C. Kot. Joint Learning for Image-based Handbag Recommendation. IEEE International Conference on Multimedia and Expo (ICME), Torino, Italy, 2015 (Oral)
11. Yan Wang, Sheng Li and Alex C. Kot. Complementary Feature Extraction for Branded Handbag Recognition. IEEE International Conference on Image Processing(ICIP), Paris, France, 2014
12. Wei Shen, Yan Wang,Xiang Bai, Hongyuan Wang, and Longin Jan Latecki. Shape Clustering: Common Structure Discovery. Pattern Recognition, 2013

Selected co-authored publications:
1. Shuhao Fu, Yongyi Lu,Yan Wang, Yuyin Zhou, Wei Shen, Elliot Fishman, Alan Yuille. Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Lima Peru, 2020.
2. Zhishuai Zhang, Wei Shen, Siyuan Qiao,Yan Wang, Bo Wang, Alan Yuille. Robust Face Detection via Learning Small Faces on Hard Images. IEEE Winter Conference on Applications of Computer Vision (WACV), Colorado, USA, 2020
3. Yuyin Zhou, Yingwei Li, Zhishuai Zhang,Yan Wang, Angtian Wang, Elliot Fishman, Alan Yuille and Seyoun Park. Hyper-pairing Network for Multi-phase Pancreatic Ductal Adenocarcinoma Segmentation. International Conference on Medical Image Computing and Computer Assisted Intervention(MICCAI). Shenzhen, China, 2019
4. Yuyin Zhou,Yan Wang, Peng Tang, Song Bai, Wei Shen, Elliot K. Fishman, Alan Yuille. “Semi-Supervised 3D Multi-Organ Segmentation via Deep Multi-Planar Co-Training”. IEEE Winter Conference on Applications of Computer Vision (WACV), Hawaii, USA, 2019
5. Qihang Yu, Lingxi Xie,Yan Wang, Yuyin Zhou, Elliot Fishman and Alan Yuille. Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), Salt Lake City, USA, 2018
6. Wei Shen, Yilu Guo,Yan Wang, Kai Zhao, Bo Wang and Alan Yuille. Deep Regression Forests for Age Estimation. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), Salt Lake City, USA, 2018
7. Wei Shen, Kai Zhao, Yuan Jiang,Yan Wang, Xiang Bai, and Alan Yuille. DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images. IEEE Transactions on Image Processing, 2017
8. Wei Shen, Bin Wang, Yuan Jiang,Yan Wang, and Alan Yuille. Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection. IEEE International Conference on Computer Vision(ICCV), Venice, Italy, 2017
9. Yuyin Zhou, Lingxi Xie, Wei Shen,Yan Wang, Elliot Fishman and Alan Yuille. A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans. International Conference on Medical Image Computing and Computer Assisted Intervention(MICCAI), Quebec City, Canada, 2017
10. Wei Shen, Kai Zhao, Yuan Jiang,Yan Wang, Zhijiang Zhang, Xiang Bai. Object Skeleton Extraction in Natural Images by Fusing Scale-associated Deep Side Outputs.IEEE Conference on Computer Vision and Pattern Recognition(CVPR), Las Vegas, USA, 2016
11. Wei Shen, Xinggang Wang,Yan Wang, Xiang Bai, and Zhijiang Zhang. DeepContour: A Deep Convolutional Feature Learned by Positive-sharing Loss for Contour Detection. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), Boston, USA, 2015


荣誉及奖励

Student travel award in MICCAI 2018
Nanyang Engineering Doctoral Scholarship (NEDS) award in 2011
Best speaker awards in the Graduate Student Workshop (organized by IEEE Circuits and Systems Society) in 2014



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