王绍宇  (副教授)


王绍宇

男、副教授


个人简介

2006年获上海交通大学计算机应用技术专业工学博士学位,2008-2010于复旦微电子集团上海复控华龙微系统技术有限公司从事博士后研究,2016-2017美国北卡罗来纳大学教堂山分校IDEA实验室访问学者。曾主持上海市博士后科研资助计划重点项目及多项中央高校基金项目, 参与多项国家自然科学基金项目。上海市计算机学会会员及上海市计算机开放系统协会会员。


主要研究方向:

人工智能、医学图像处理、服装图像处理、数据分析及智能视频处理。


讲授课程:

《计算机图像处理》、《多媒体技术》等


主要论文研究成果:

1.Runlong Lin,Shaoyu Wang, Qiang Chen,Zhengwei Cai, Yian Zhu, Yun Hu, Combining  K-Means Attention and Hierarchical Mimicking Strategy for 3D U-net based Brain Tumor Segmentation, 2021 IEEE International Conference on Information Communication and Software Engineering , March 19, 2021 

2. Zhengwei Cai, Shaoyu Wang, Qiang Chen, Runlong Lin, Yun Hu, Yian Zhu, A Two-stage Special Feature Deep Fusion Network With Spatial Attention For Hippocampus Segmentation, 2021 IEEE International Conference on Information Communication and Software Engineering , ,  March 19, 2021

3.Shaoyu Wang;Yi, Lirong;Chen, Qiang;Meng,Zhaoxin;Dong,Huawei;He,Zhi. Edge-aware Fully Convolutional Network with CRF-RNN Layer for Hippocampus Segmentation ,Proceedings of 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference,  p 803-806, May 2019

4.Chen, Qiang;Shaoyu Wang; Yi, Lirong; Shu, WentingWang, RuiChen, Jue,Traffic Signs Recognition Using Dynamic-scale CNN, Proceedings of 2019 International Conference on Artificial Intelligence, Information Processing and Cloud Computing, December 19, 2019

5.Wenting Shu, Shaoyu Wang; Qaing Chen,Yun Hu, etc. Pathological image classification of breast cancer based on residual network and focal loss. Proceedings of 2019 3rd International Conference on Computer Science and Artificial Intelligence, p 211-214, December 6, 2019,

6.陶君,王绍宇,智能跑步机项目迭代进度计划探析,中国管理信息化,p 97-99,2019,22(19)

7. Qing Yang, Shaoyu Wang, Tingting Zhang, Pruning and Summarizing the Discovered Time Series Association Rules from Mechanical Sensor Data,  3rd Annual International Conference on Electronics, Electrical Engineering and Information Science ,EEEIS 2017,p40-45,Sept. 8,2017

8.Shaoyu Wang, Minjeong Kim, Guorong Wu, Dinggang Shen, Scalable High Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning. Deep Learning for Medical Image Analysis, p 245-269. January 30, 2017.

9.Shaoyu Wang, Xiaoling Xia, Yongfeng Huang, Jiajin Le. Biologically-Inspired Aging Face Recognition Using C1 and Shape Features, Proceedings of 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics,2, 574-577,2013

10.Shaoyu Wang, Xiaoling Xia, Zhidong Qing, Hongya Wang, Jiajing Le. Aging Face Identification Using Biologically Inspired Features2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013

11.Shaoyu wang, Xiaoling Xia, Jiajin Le. Practice on the Establishment of National Engineering Practice Education Center of Intelligent Medical Treatment. Computer Education (Chinese), Vol. 24, Dec. 2013

12.王绍宇,夏小玲, 乐嘉锦,智慧医疗”国家级工程实践教育中心建设实践,《计算机教育》23,p112-116,2013

13.Shaoyu Wang, Yongfeng Huang, Zhidong Qin, Xiaoyong Liao, Youjun.Luo. Minimum description length Shape Model based on bio-inspired features, ICACTE 2010, 3rd International Conference on Advanced Computer Theory and Engineering, 5, 565-568, 2010  

14.Shaoyu Wang, Xiaoling Xia, Jiajin Le, Songshao Yang, Xiaoyong Liao. Classifying Children’s and Adults’ Faces by Bio-inspired Features, Proceedings - 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems, 3, 332-336, 2010  

15.王绍宇,戚飞虎,夏小玲,基于MDL Shape ModelEFD的行人轮廓2D+time表示, 中国图象图形学报,13, 1898~1901, 2008

16.王绍宇基于小波和ICA的面部特征定位,《计算机科学》,9, 199-200, 2006

17.Shaoyu Wang, Feihu Qi, Huaqing Li. Minimum Description Length Shape Model Based On Elliptic Fourier Descriptors. Lecture Notes in Computer Science 2006  

18.Shaoyu Wang, Feihu QiHuaqing Li. Add Cartesian Differential Invariants to Minimum Description Length Shape Models, 9th IAPR Conference on Machine Vision Applications (Japan) 2005

19.Shaoyu Wang, Feihu Qi. Compute Aided Diagnosis of Facial Paralysis Based on Pface, Annual International Conference of the IEEE Engineering in Medicine and Biology, Vol 7, 4353-4356,2005

20.Shaoyu WangHuaqing Li, Feihu Qi. Objective facial paralysis grading based on Pface and eigenflow, Medical & Biological Engineering& Computing, 42, 598-603, 2004


近期主持的科研项目:

1.企业横向技术研发项目  数据库及服务器监控web系统模块设计 2019年 主持

2.上海市松江区科学技术委员会项目  向G60科创走廊企业人工智能人才产学研创新培养机制研究  2018年 主持

3.企业横向技术研发项目  基于深度学习的电子病历特征抽取算法模块设计 2018年 主持

4.上海市松江区科学技术委员会科普项目 神奇的医疗大数据分析—能预知未来健康的千里眼  2017年主持

5.国家自然科学基金委员会 基于单应计算的视觉平面几何表示与认知研究  2017年 参与

6.上海市松江区科学技术委员会项目:松江区大数据产业发展规划研究,2014年,主持

7.上海市科学技术委员会博士后资助计划重点项目:突发公共事件下异常行人主动检测与跟踪技术研究,2010年,主持

8.中央高校基本科研业务费专项资金项目:仿大脑视皮层功能行人目标图像识别算法研究,2012年,主持

9.中央高校基本科研业务费专项资金项目:基于统计形状模型及HMM的行人异常行为检测研究,2010年,主持


近几年的论著、专利:

1王绍宇, 杨松绍,廖小勇等,"基于椭圆傅立叶分解的行人时空轮廓表示方法"专利号:CN 101799865 B, 已授权,授权日:April 18, 2012

2王绍宇, 杨松绍,廖小勇等,"一种婴幼儿主动跟踪监护的方法及其实现系统”专利号:CN 101195400 B, 已授权,授权日:March 27, 2013


联系方式:

Email: sywang@dhu.edu.cn

办公室:东华大学1号学院楼107

电话:021-67792163