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西安电子科技大学空间科学与技术学院导师教师师资介绍简介-余航
本站小编 Free考研考试/2021-07-10
基本信息
余航，博士，副教授，硕导
学院：空间科学与技术学院
导航控制系
学科：仪器科学与技术（080400）
航天工程（085233）
联系方式
通信地址：西安电子科技大学279信箱
办公电话：
办公地点：南校区G-205(东)
电子邮箱：hyu@xidian.edu.cn
新增栏目4
个人简介
教育经历
09/2008-09/2014，西安电子科技大学，电子工程学院，电路与系统专业，工学博士（硕博连读）
09/2007-09/2008，西安电子科技大学，电子工程学院，电路与系统专业，工学硕士（报送）
09/2001-06/2005，西安电子科技大学，电子工程学院，电子信息工程，工学学士
工作经历
10/2019-11/2020，美国德州大学西南医学中心（UTSW），放射肿瘤学院，访问****（UTSW资助）
07/2017-至今， 西安电子科技大学，空间科学与技术学院，副教授
04/2016-06/2017，西安电子科技大学，空间科学与技术学院，讲师
03/2014-04/2016，西安电子科技大学，空间科学与技术学院，师资博士后
07/2005-08/2007，西安电子科技大学，电子工程学院，政治辅导员
研究兴趣
图像理解与解译、计算机视觉、机器学习、信息融合、智能算法、视觉导航、视觉测量、SAR图像处理、医学图像处理。
最新动态
2020.12.08，一项发明专利获得授权。
2020.10.19，一篇论文被《自动化学报》录用。
2020.09.28，祝贺赵乐同学顺利签约中电20研究所。
2020.07,12，余航副教授应邀在空间颠覆技术青年论坛作报告。
2020.05.11，一篇论文被美国AAPM会议录用，评为BLUE RIBBON ePOSTER。
基本信息
余航，博士，副教授，硕导
学院：空间科学与技术学院
导航控制系
学科：仪器科学与技术（080400）
航天工程（085233）
联系方式
通信地址：西安电子科技大学279信箱
办公电话：
办公地点：南校区G-205(东)
电子邮箱：hyu@xidian.edu.cn
新增栏目4
个人简介
教育经历
09/2008-09/2014，西安电子科技大学，电子工程学院，电路与系统专业，工学博士（硕博连读）
09/2007-09/2008，西安电子科技大学，电子工程学院，电路与系统专业，工学硕士（报送）
09/2001-06/2005，西安电子科技大学，电子工程学院，电子信息工程，工学学士
工作经历
10/2019-11/2020，美国德州大学西南医学中心（UTSW），放射肿瘤学院，访问****（UTSW资助）
07/2017-至今， 西安电子科技大学，空间科学与技术学院，副教授
04/2016-06/2017，西安电子科技大学，空间科学与技术学院，讲师
03/2014-04/2016，西安电子科技大学，空间科学与技术学院，师资博士后
07/2005-08/2007，西安电子科技大学，电子工程学院，政治辅导员
研究兴趣
图像理解与解译、计算机视觉、机器学习、信息融合、智能算法、视觉导航、视觉测量、SAR图像处理、医学图像处理。
最新动态
2020.12.08，一项发明专利获得授权。
2020.10.19，一篇论文被《自动化学报》录用。
2020.09.28，祝贺赵乐同学顺利签约中电20研究所。
2020.07,12，余航副教授应邀在空间颠覆技术青年论坛作报告。
2020.05.11，一篇论文被美国AAPM会议录用，评为BLUE RIBBON ePOSTER。
科学研究
相关研究成果发表论文20余篇，得到了同行的认可。先后主持和参与国家自然科学基金项目、国家863计划项目、中国博士后科学基金面上项目等10余项（主持5项），相关成果申请国家发明专利26项，转让1项。
辅导3门和主讲11门本科生课程，指导2个国创项目，16名本科毕业设计，12名硕士生，担任1届班主任，参与2项省级教改项目，获省级教学奖1项。
目前为中国计算机学会、IEEE、AAPM会员，并受邀担任《IEEE Transactions on Geoscience and Remote Sensing》、《IEEE Transactions on Intelligent Transportation Systems》、《Pattern Recognition》、《IEEE Transactions on Systems, Man and Cybernetics Systems》、《自动化学报》、《计算机学报》等30个期刊评审人，先后审稿60余次，被IEEE GRSL评委优秀审稿人，被《计算机工程与应用》和《计算机科学与探索》聘为审稿专家。
主持的科研方向：
（1）智能优化算法
对多种启发式优化算法和聚类算法进行研究，成功引入了多种不同的机理，包括正交实验设计、免疫调节算子、最优参考排序、区域增长、异质特征集成等，有效的提高了算法的准确性和运行效率。相比于当前的最优算法，所提算法具有搜索准确率高、对噪声鲁棒性强、和收敛速度快的特点。这些工作可以利用多种异质信息，并且同时处理多目标优化。
（2）图像分割
从特征提取到算法设计，系统的对SAR图像分割进行研究，对分割的本质问题进行分析，并首次尝试研究基于异质特征集成的无监督SAR图像分割方法。该工作致力于从图像中提取更多的信息，有效集成异质特征，准确计算目标之间的相似性，并设计出性能更优的分割算法。与当前最先进的算法相比，所提算法具有分割精度高，对斑点噪声的鲁棒性强，并且运行速度快的特点，这为进一步SAR系统的发展和应用提供了极大的帮助。
（3）计算机视觉及其应用
探索了各种特征提取方法，以准确、完整描述图像中的目标，设计了多种异质特征集成策略，包括上下文机制，水平集模型，稀疏表示和跨子空间模型，以解决不同计算机视觉任务。应用场景包括SAR图像分割，X射线脉冲星导航，跑道末端安全区域中的飞机姿态估计，自然场景文本检测，车辆定位方法和空间姿态测量。该工作丰富了计算机视觉中多种异质特征提取和集成的研究和理论，并从技术的角度为许多视觉系统提供了可行的解决方案。
（4）视觉测量
设计发明了一种主动视觉测量系统（AVS），对大尺度空间目标的位置和姿态进行测量。该工作从硬件平台到软件系统，全面的提高测量的精度和效率，包括移动显示终端、激光准直仪、目标靶板、接口设备、转换设备、三自由度支架、以及测量软件，产生了许多先进的发明专利，已在工业领域中得到广泛使用。
主持项目
基于上下文感知和异质特征集成的SAR图像分割与评价, 项目编号：**, 国家自然科学基金, 起止时间：2016.1-2018.12.
面向合成孔径雷达图像分割的异质特征集成方法研究, 项目编号：2014M562376, 中国博士后科学基金面上项目, 起止时间：2014.3-2016.3.
面向合成孔径雷达图像的多属性特征提取与集成策略研究, 陕西省博士后科研项目, 起止时间：2014.3-2016.3.
基于异质特征集成的SAR图像分割算法及其定量评价指标研究, 项目编号：S2015YFJQ0573, 陕西省自然科学基础研究计划-青年人才项目, 起止时间：2015.1-2016.12.
面向SAR图像分割的异质特征集成策略研究, 项目编号：JB151308, 中央高校基本科研业务费专项资金, 起止时间：2015.1-2016.12.
参与项目
基于单像素成像体制的制导信息提取方法研究, 项目编号：**, 国家自然科学基金, 起止时间：2012.01-2015.12,主要承担人.
大规模迁移学习理论及其在SAR图像分类中的应用, 项目编号：**,国家自然科学基金项目, 起止时间：2011.1-2013.12, 主要承担人.
基于视觉先验学习和混合因子分析的极化SAR图像识别与分类, 项目编号：**, 国家自然科学基金项目, 起止时间：2013.1-2016.12, 主要承担人.
量子免疫多目标优化模型与算法研究, 项目编号：**, 国家自然科学基金项目, 起止时间：2011.1-2013.12, 主要承担人.
自适应XXXXX关键技术研究, 项目编号：ZZ, *科研项目*, 主要承担人.
XX转移策略设计及轨道保持研究, 项目编号：HX, 横向项目, 主要承担人.
、快速提取、图像判读和解译技术, 编号：*****0103, “十一五”*科研项目*, 起止时间：2006.1-2010.12, 参与人.
多尺度几何SAR遮挡目标检测与识别, 编号：**, 国家自然科学基金项目, 起止时间：2008.1-2010.12, 参与人.
自适应多尺度网络的图像识别与分类, 编号：3, 国家教育部博士点基金项目, 起止时间：2009.1-2010.12, 参与人.
基于多尺度几何学习网络的复杂图像语义分析与理解,编号：2008AA01Z125, 国家863计划项目, 起止时间：2009.1-2010.9, 参与人.
基于协同半监督学习和稀疏表示的极化SAR地物分类, 编号：**, 国家自然科学基金项目, 起止时间：2012.01-2015.12, 参与人.
学术论文
ShaoDe Yu, MingLi Chen, ErLei Zhang, JunJie Wu, Hang Yu, Zi Yang, Lin Ma, XueJun Gu, WeiGuo Lu, Robustness study of noisy annotation in deep learning based medical image segmentation, Physics in Medicine & Biology, 2020.
Yu Hang*, Zhang ErLei, Yu ShaoDe, Yang Zi, Ma Lin, Chen MingLi, Gu XueJun, Lu WeiGuo, Two-Step Subspace Mapping Based Diaphragm Displacement Prediction by Markerless Abdominal Surface Measurement, Medical Physics, 47 (6), E442-E442, 2020.
Yu Hang*, Jiao LiCheng, Liu Fang, CRIM-FCHO: SAR image two-stage segmentation with multi-feature ensemble, IEEE Transactions on Geoscience and Remote Sensing, 54(4), 2400-2423, 2016.
Yu Hang，Xu LuPing，Feng DongZhu*，He XiaoChuan, Independent feature subspace iterative optimization based fuzzy clustering for SAR image segmentation, Journal of Applied Remote Sensing, 9(1), 095060, 2015.
Yu Hang, Xu LuPing, Feng DongZhu*, He XiaoChuan, Ye XiaoLing, A sparse representation-based optimization algorithm for measuring the time delay of pulsar integrated pulse profile, Aerospace Science and Technology, 46, 94-103, 2015.
Yu Hang*, Jiao LiCheng, Liu Fang, Context based unsupervised hierarchical iterative algorithm for SAR segmentation, Acta Automatica Sinica, 40(1): 100-116, 2014.
Yu Hang*, Zhang XiangRong, Wang Shuang, Hou Biao, Context-based hierarchical unequal merging for SAR image segmentation, IEEE Transactions on Geoscience and Remote Sensing, 51(2), 995-1009, 2013.
Yu Hang*, Jiao LiCheng, Gong MaoGuo, Yang DongDong, Clonal selection function optimization based on orthogonal experiment design, Journal of Software, 21(5), 950-967, 2010.
Yu Hang*, Gong MaoGuo, Jiao LiCheng, Zhang Bin, Clonal selection algorithm with immunologic regulation for function optimization. In: Proceedings of the 2005 International Conference on Computational Intelligence and Security, 858-863, 2005.
Wang Xin, Yu Hang*, Feng DongZhu, Pose estimation in runway end safety area using geometry structure features, The Aeronautical Journal, 120(1226), 675-691, 2015.
Feng DongZhu, Fan LinLin, Yu Hang, Dai Hao, Yuan XiaoGuang. Adaptive Contour Based Variational Level Set Model for Multiple Target Detection in Complex Background, Journal of Software, 28(10): 2797-2810, 2017.
Yang DongDong*, Jiao LiCheng, Gong MaoGuo, Yu Hang, Clone selection algorithm to solve preference multi-objective optimization, Journal of Software, 21(1), 14-33, 2010.
Huang WunTao*, Jiao LiCheng, Jia JianHua, Yu Hang, A neural contextual model for detecting perceptually salient contours, Pattern Recognition Letters, 30(1), 985-993, 2009.
Si XiaoYun, Jiao LiCheng, Feng HongXiao, Yang DongDong, Yu Hang*, Compressive sensing image reconstruction based on stage-wise directional pursuit searching in the WBCT domain. In: Proceedings of SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74950Z, 2009.
Si XiaoYun, Jiao LiCheng, Yu Hang*, Yang DongDong, Feng HongXiao, SAR images reconstruction based on compressive sensing. In: Proceedings of 2009 Asia-Pacific Conference on Synthetic Aperture Radar, 1056-1059, 2009.
XiaoChuan He, LuPing Xu, FengDong Zhu, Hang Yu, HLBP model method with color and location information about moving objects detection, Journal of Xidian University, 42(4), 27-32, 2015.
XiaoZheng Deng, Bing Ye, Hang Yu, Efficiency evaluation of airborne embedded training system based on immune optimized RBF network, Modern Electronics Technique, 42(8), 100-108, 2019.
代表专利
余航, 许录平, 冯冬竹, 何晓川, 刘清华, 杨旭坤, 基于超像素的SAR图像分割方法, 发明, 申请号: 20**, 申请公布号: CNA.
冯冬竹, 余航, 何晓川, 郑毓, 范琳琳, 刘清华, 许录平, 基于核极限学习机的X射线脉冲星光子信号辨识方法, 发明, 申请号: 20**, 申请公布号: CNA.
余航, 冯冬竹, 戴浩, 何晓川, 刘清华, 范琳琳, 许录平, 基于多变分水平集的复杂背景视频图像多目标检测方法, 发明, 申请号: 7.6, 申请公布号: CNA.
冯冬竹, 余航, 何晓川, 刘清华, 许录平, 曾吉, 基于结构化支持向量机的自适应尺度目标跟踪方法, 发明, 申请号: 20**, 申请公布号: CNA.
冯冬竹, 刘立芳, 余航, 何晓川, 单浩宇, 佘颜, 许录平, 基于MEMS微扫描镜的单探测器光学成像系统及方法, 发明, 申请号: 20**, 申请公布号: CNA.
荣誉获奖
2017年，教师成就一等奖，西安电子科技大学；
2017年，大学生创新创业大赛，优秀指导教师奖，西安电子科技大学；
2016年，陕西省大学生微小卫星载荷与应用大赛，优秀指导教师二等奖，陕西省；
2016年，最佳科研新人奖，空间科学与技术学院，西安电子科技大学；
2015年，优秀师资博士后称号，西安电子科技大学；
2008-2010年，研究生标兵、研究生优秀学生干部，西安电子科技大学；
2007年，优秀辅导员，西安电子科技大学；
2005年，陕西省优秀学生干部，陕西省；
2003年，华为奖学金，西安电子科技大学；
2002-2005年，优秀学生标兵、优秀学生干部，西安电子科技大学。
科研团队
团队教师
余 航
硕士研究生
尹相杰 朱增宽 李晨阳 赵 乐
课程教学
2015年春：《数字图像处理》助理教师；
《航天技术概论》助理教师；
2015年秋：《计算机视觉》主讲教师；
《制导与控制原理》助理教师；
2016年春：《航天技术概论》主讲教师；
《数字图像处理》主讲教师；
2016年秋：《计算机视觉》主讲教师；
《航天器控制原理》主讲教师；
2017年春：《数字图像处理》主讲教师；
《航天技术概论》主讲教师；
2017年秋：《计算机视觉》主讲教师；
《航天器控制原理》主讲教师；
2018年春：《数字图像处理》主讲教师；
2018年秋：《计算机视觉》主讲教师；
2020年夏：《Frontier of AI》责任教师。
课件下载 示例
招生要求
~~~~~~~~~~~~~~~~~~~~~~~~~~
关于研究生招生的信息：
~~~~~~~~~~~~~~~~~~~~~~~~~~
招生学科：
学术硕士：仪器科学与技术（080400）
工程硕士：航天工程（085233）
对学生的期望：
1.品质优秀：诚实守信，勤奋踏实，做事严谨认真，精益求精；
2.编程能力：较强的编程能力（Matab、Python、C/C++），数模竞赛/程序设计竞赛获奖者优先；
3. 实践能力：较强的工程实践能力（单片机、ARM、DSP、FPGA），电子设计竞赛获奖者优先；
4.英语能力：熟练阅读英文文献，有较强的英文写作能力；
5.科研热情：对学术研究有浓厚的兴趣，善于独立思考和创新思维。
欢迎保研、优研、普通报考，请先通过Email与我取得联系哦！
Email：hyu@xidian.edu.cn
合作伙伴
Dr. Zhiguo Zhou
Assistant Professor
Computer Science & Software Engineering
University of Central Missouri, Warrensburg, MO, USA
WCM 223
zzhou@ucmo.edu
(660) 543-4507
余绍德，博士
媒体融合与传播国家重点实验室成员，中国传媒大学
研究方向：人工智能; 图像质量保证；智能信息处理
邮箱：yushaodemia@163.com
个人链接：http://www.scholat.com/nicolasyu
Profile
Name: Hang Yu, Ph.D.
Title: Associate Professor
Department:School of Aerospace Science and Technology
Contact Information
Address: G-205, Xinglong Section of Xifeng Road, Xi\\'an, Shaanxi 710126
Email: hyu@xidian.edu.cn
Tel:86-180 6663 5585
Introduction
Professional Experience
10/2019-11/2020 Visiting Assistant Professor, Radiation Oncology, UT Southwestern Medical Center
07/2017-present Associate Professor, School of Aerospace Science and Technology, Xidian University
04/2016-06/2017 Lecturer, School of Aerospace Science and Technology, Xidian University
03/2014-04/2016 Postdoctor, School of Aerospace Science and Technology, Xidian University
Education
09/2008-09/2014 Ph. D. in Circuits and Systems
Xidian University, Xi’an, China
09/2001-06/2005 B.S. in Electronic and Information Engineering
Xidian University, Xi’an, China
Research Interests
Image Understanding and Interpretation; Computer Vision; Machine Learning; Information Fusion; Evolutionary Computation and Optimization; Visual Navigation; Synthetic Aperture Radar Image Processing.
News
2020.12.08, a patent is approved successfully.
2020.10.19, a paper has been accept by Acta Automatica Sinica.
2020.09.28, Congratulations on Le Zhao for his new job atCEC.
2020.07.12, I gave a talk onYoung Pioneer Forum on Disruptive Technology of Space Science.
2020.05.11, A paper was accept by AAPM asBLUE RIBBON ePOSTER.
Research
Research Direction
1. Optimization Algorithms
We explore different mechanisms to improve the ability of optimization algorithms. Our work has been devoted to improve algorithm’s search ability, to avoid the algorithm’s premature convergence, to speed up algorithm’s running speed, to enhance the algorithm’s ability of using multiple heterogeneous information, and to improve algorithm’s ability of multiobjective optimization.
2. Image Segmentation
We investigate SAR image segmentation from the feature extraction to the algorithm design, and propose many SAR image segmentation algorithms.Our work has been devoted to extract more information, to effectively integrate heterogeneous features, to accurately measure the objects’ similarity, and to design efficient segmentation algorithms.
3. Computer Vision and Application
We explore different feature extraction methods to accurately and completely describe the objects in images. We pioneer many mechanisms, such as context, level set model, sparse representation and cross-subspace model, to effectively fuse these heterogeneous features, which are further integrated in algorithms to solve computer vision tasks and improve automatic ability in real word.
4. Vision Measurements
We invented an active-visual system (AVS) for large-scale position and attitude measurement. Our work is devoted to improve the measurement accuracy and efficiency from hardware platform to software system, including the mobile display terminal, the laser borescope, the target board, the interface device, the conversion device, the three-degree-of-freedom support, and the algorithms in the measurement software, which resulte in many advanced inventions.
Research Experience
10/2004-06/2005 Clonal Selection Algorithm with Immunologic Regulation for Function Optimization
Designed four immunologic regulation operators(IRO) inspired by immune regulation mechanism of biology immune system.
Put forward a Immunologic Regulation Clonal Selection Algorithm (IRCSA) to introduce the IROs to the typical Clonal Selection Operation algorithm.
09/2009-08/2010 Colonal Selection Algorithm based on Orthogonal Experiment Design for Function Optimization
Presented a novel colonal selection operation named as Colnal Selection Operation based on Orthogonal Experiment Design(CSO-OED)
Designed two algorithms: CSO+CSO-OED(I) and CSO+CSO-OED(II) to combined CSO-OED with the typical Clonal Selection Operation.
06/2013-12/2014 A Context based Hierarchical Unequally Merging for SAR Image Segmentation
Combined the top-down fashion and bottom-up fashion.
Proposed three rules based on Gestalt laws serving as top-down constraints to represent context.
Combined multiple features as bottom-up forces to locally describe SAR images.
Proposed a hierarchical unequally merging algorithm including two stages to merge superpixels.
05/2015-12/2015 A Fuzzy Clustering based on Independent Subspace Iterative Optimization (FCISIO)
Designed a novel similarity measure using hierarchical ensemble to integrate the features of different properties.
Proposed a spatial neighbourhood term with preferences to accurately compute the contextual relationship between superpixels.
Proposed a subspace independent iterative optimization algorithm to combine the gradient-descent-direction search and the heuristic search.
07/2015-02/2016 A Context based Unsupervised Hierarchical Iterative Algorithm
Combined the advantages of the cluster based segmentation algorithms and region growing based segmentation algorithms.
Proposed a modified fuzzy c-means algorithm to analyze the appearance-based features of superpixels.
Proposed a region iterative growing to merge the similar superpixels based on contextual analysis in space domain.
These two iterative sub-algorithms exchanged information and realized an natural and effective way to use different kinds of features.
08/2015-06/2016 SAR Image Two-stage Segmentation with Multi-feature Ensemble (CRIM-FCHO)
Extracted multiple heterogeneous features to accurately describe the objects in SAR images.
Integrated these features respectively in the feature level and the similarity level to avoid the mutual influences between different kinds of features.
Proposed a two-stage algorithm consisting of a coarse merging stage and a fine classification stage.
Designed a global halt index (HI) to compute the global consistency in homogeneity of the segmentation.
09/2016-08/2017 Adaptive Contour based Variational Level Set Model for Multiple Target Detection in Complex Background
Combined inter-frame difference with K-means clustering algorithm to obtain multiple initialization curves.
Designed a morphology method to reduce the noise and estimated the position and the size of the moving target in complex background.
Extended the variational level set model without re-initialization from single target to multiple target detection.
10/2019-03/2020 Two-Step Subspace Mapping Based Diaphragm Displacement Prediction by Markerless Abdominal Surface Measurement
Incorporated 3D image segmentation to accurately measure the displacement of the diaphragm and the abdominal surface without markers
Proposed a two-step mapping algorithm (TSSM), which constructed eigenspaces and make a mapping in high-dimension subspace, to solve the cross-domain prediction problem.
Extended the linear model TSSM to kernel TSSM in order to investigate the non-linear between the cross-domain data.
Achievement
Research Grants
The National Natural Science Foundation of China, Context-aware and Heterogeneous Features Ensemble based SAR Image Segmentation and Evaluation, No. **, 2016.1-2018.12. [PI]
The China Postdoctoral Science Foundation, Heterogeneous Features Ensemble Methods for Synthetic Aperture Radar Image Segmentation, No. 2014M562376, 2014.3-2016.3. [PI]
The Postdoctoral Science Foundation in Shaanxi Province of China, Context-aware based Multi-feature Fusion Strategy for SAR Image, 2014.3-2016.3. [PI]
The Natural Science Basic Research Plan in Shaanxi Province of China, Multi-feature Ensemble based Evaluation Methods for SAR Image Segmentation, No. S2015YFJQ0573, 2015.1-2016.12. [PI]
Fundamental Research Funds for the Central Universities, Heterogeneous Features Ensemble based Variational Level Set Model for Multiple Target Detection, No. JB151308, 2015.1-2016.12. [PI]
The National Natural Science Foundation of China, Image Recognition and Classification of Polarimetric SAR based on Visual Prior Learning and Hybrid Factor Analysis, No. **, 2013.1-2016.12. [Co-PI]
The National Natural Science Foundation of China, Guidance Information Extraction Methods based on Single Pixel Imaging Model, No. **, 2012.01-2015.12. [Co-PI]
The National Natural Science Foundation of China, Research on Quantum Immune Multi-Objective Optimization Model, No. **, 2011.1-2013.12. [Co-PI]
The National Natural Science Foundation of China, Large-scale Transfer Learning Theory and its Application in SAR Image Classification, No. **, 2011.1-2013.12. [Co-PI]
Publications
ShaoDe Yu, MingLi Chen, ErLei Zhang, JunJie Wu, Hang Yu, Zi Yang, Lin Ma, XueJun Gu, WeiGuo Lu, Robustness study of noisy annotation in deep learning based medical image segmentation, Physics in Medicine & Biology, 2020.
Yu Hang*, Zhang ErLei, Yu ShaoDe, Yang Zi, Ma Lin, Chen MingLi, Gu XueJun, Lu WeiGuo, Two-Step Subspace Mapping Based Diaphragm Displacement Prediction by Markerless Abdominal Surface Measurement, Medical Physics, 47 (6), E442-E442, 2020
Yu Hang*, Jiao LiCheng, Liu Fang, CRIM-FCHO: SAR image two-stage segmentation with multi-feature ensemble, IEEE Transactions on Geoscience and Remote Sensing, 54(4), 2400-2423, 2016.
Yu Hang，Xu LuPing，Feng DongZhu*，He XiaoChuan, Independent feature subspace iterative optimization based fuzzy clustering for SAR image segmentation, Journal of Applied Remote Sensing, 9(1), 095060, 2015.
Yu Hang, Xu LuPing, Feng DongZhu*, He XiaoChuan, Ye XiaoLing, A sparse representation-based optimization algorithm for measuring the time delay of pulsar integrated pulse profile, Aerospace Science and Technology, 46, 94-103, 2015.
Yu Hang*, Jiao LiCheng, Liu Fang, Context based unsupervised hierarchical iterative algorithm for SAR segmentation, Acta Automatica Sinica, 40(1): 100-116, 2014.
Yu Hang*, Zhang XiangRong, Wang Shuang, Hou Biao, Context-based hierarchical unequal merging for SAR image segmentation, IEEE Transactions on Geoscience and Remote Sensing, 51(2), 995-1009, 2013.
Yu Hang*, Jiao LiCheng, Gong MaoGuo, Yang DongDong, Clonal selection function optimization based on orthogonal experiment design, Journal of Software, 21(5), 950-967, 2010.
Yu Hang*, Gong MaoGuo, Jiao LiCheng, Zhang Bin, Clonal selection algorithm with immunologic regulation for function optimization. In: Proceedings of the 2005 International Conference on Computational Intelligence and Security, 858-863, 2005.
Wang Xin, Yu Hang*, Feng DongZhu, Pose estimation in runway end safety area using geometry structure features, The Aeronautical Journal, 120(1226), 675-691, 2015.
Feng DongZhu, Fan LinLin, Yu Hang, Dai Hao, Yuan XiaoGuang. Adaptive Contour Based Variational Level Set Model for Multiple Target Detection in Complex Background, Journal of Software, 28(10): 2797-2810, 2017.
Yang DongDong*, Jiao LiCheng, Gong MaoGuo, Yu Hang, Clone selection algorithm to solve preference multi-objective optimization, Journal of Software, 21(1), 14-33, 2010.
Huang WunTao*, Jiao LiCheng, Jia JianHua, Yu Hang, A neural contextual model for detecting perceptually salient contours, Pattern Recognition Letters, 30(1), 985-993, 2009.
Si XiaoYun, Jiao LiCheng, Feng HongXiao, Yang DongDong, Yu Hang*, Compressive sensing image reconstruction based on stage-wise directional pursuit searching in the WBCT domain. In: Proceedings of SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74950Z, 2009.
Si XiaoYun, Jiao LiCheng, Yu Hang*, Yang DongDong, Feng HongXiao, SAR images reconstruction based on compressive sensing. In: Proceedings of 2009 Asia-Pacific Conference on Synthetic Aperture Radar, 1056-1059, 2009.
XiaoChuan He, LuPing Xu, FengDong Zhu, Hang Yu, HLBP model method with color and location information about moving objects detection, Journal of Xidian University, 42(4), 27-32, 2015.
XiaoZheng Deng, Bing Ye, Hang Yu, Efficiency evaluation of airborne embedded training system based on immune optimized RBF network, Modern Electronics Technique, 42(8), 100-108, 2019.
Patents
Yu Hang, Xu LuPing, Feng DongZhu, He XiaoChuan, Liu QingHua, Yang XuKun, SAR Image Segmentation Method based on Superpixel, Publication No.: CNB.
Feng DongZhu, Yu Hang, He XiaoChuan, Zheng Yu, Fan LinLin, Liu QingHua, Xu LuPing, A Kernel Extreme Learning Machine for Photon Signal Identification of X-Ray Pulsars, Publication No.: CNB.
Yu Hang, Feng DongZhu, Dai Hao, He XiaoChuan, Liu QingHua, Fan LinLin, Xu LuPing, Variational Level Set based Multi-Target Detection Method for Video Images with Complex Background, Publication No.: CNB.
Feng DongZhu, Yu Hang, He XiaoChuan, Liu QingHua, Xu LuPing, Zeng Ji, Adaptive Scale Target Tracking Method based on Structured Support Vector Machine, Publication No.: CNB.
Feng DongZhu, Liu LiFang, Yu Hang, He XiaoChuan, Shan HaoYu, She Yan, Xu LuPing, MEMS Micro Scanning Mirror based Optical Imaging System of Single Detector, Publication No.: CNB.
Feng Dongzhu, Yu Hang, Fan LinLin, Dai Hao, Yuan XiaoGuang, Sun JingRong, Xu LuPing, A Method to Adaptively Obtain the Initial Contour based on Level Set Model for Motion Target Detection, Publication No.: CNA.
Feng DongZhu, Yu Hang, Yuan XiaoGuang, Dai Hao, Fan LinLin, Gao Fei, Sun JingRong, SAR Image Super-Pixel Segmentation based on Gamma Filter, Publication No.: CNA.
Feng DongZhu, Yu Hang, Zheng Yu, Yang XuKun, He XiaoChuan, Liu QingHua, Xu LuPing, A Natural Scene Text Detection Method based on Connected Domain, Publication No.: CNA.
Feng DongZhu, Yu Hang, Yang XuKun, He XiaoChuan, Dai Hao, Liu QingHua, Xu LuPing, A Vision Saliency Detection Method based on Fusion of Texture Feature and Color Feature, Publication No.: CNB.
Yu Hang, Zhao Le, Xu LuPing, Feng DongZhu, Lu YuZe, A Novel Super-Pixel Segmentation Method based on Variational Level Set, Publication No.: CNA.
Yu ZhenYue, Yu Hang, A Target Board based on Active Infrared Beam, Publication No.: CNU
Yu ZhenYue, Yu Hang, An Active Vision based Spatial Attitude Measurement System, Publication No.: CNU
Yu ZhenYue, Yu Hang, A High-Coaxiality Interface Device of Borescope, Publication No.: CNU
Yu ZhenYue, Yu Hang, A High-Precision Conversion Device, Publication No.: CNU
Yu ZhenYue, Yu Hang, A Three-Degree-of-Freedom Support for Test Target Plate, Publication No.: CNU
Yu Hang, Yu ZhenYue, An Optical Borescope based on Mobile Display Terminal, Publication No.: CNU
Yu Hang, Yu ZhenYue, A Laser Self-boresighting Device, Publication No.: CNU
Yu ZhenYue, Yu Hang, Shang WanRen, Wang JinNa, A Laser Borescope, Publication No.: CNU
Yu ZhenYue, Yu Hang, A Spatial Attitude Measurement Method Based on Active Vision, Publication No.: CNA
Yu ZhenYue, Yu Hang, A High-Coaxiality Interface Instrument for Borescope and Collimator, Publication No.: CNA
Yu Hang, Yu ZhenYue, An Optical Collimator System based on Mobile Display Terminal, Publication No.: CNA
Yu Hang, Yu ZhenYue, Laser Self-Calibrating Instrument and its Operation Method, Publication No.: CNA
Cheng PengFei, Wang YingLin, Lu GeYu, Zhang Hua, Yu Hang, Su ZiSheng, Sun Peng, Preparation Method of Photoanode, Photoanode and Dye-Sensitized Solar Cell, Publication No.: CNB
Dai Hao, He XiaoChuan, Feng DongZhu, Yu Hang, Liu QingHua, A new high-order three-dimensional chaotic model and its circuit, Publication No.: CNA
Yu Hang, Zhao Le, Xu LuPing, Zhao HengWang, Feng DongZhu, High-Precision Vehicle Positioning Method based on ORB-SLAM, Publication No.: CNA
Yu Hang, Feng Dongzhu, Xu Luping, Zhao Le, Lu Yuze, Fan Linlin, A Variational Level Set based Superpixel Generation Method, Publication No.: CNA.
Honors
Honors and Awards
2017, The First Prize of Xidian University Teaching Achievement Award, Xidian University, Xi’an, China.
2017, The Excellent Advisor Award of National College Student Innovation and Entrepreneurship Training Program, Xidian University, Xi’an, China.
2016, The Best New Scientist Award, School of Aerospace Science and Technology, Xidian University, Xi’an, China.
2015, Outstanding Postdoctoral Fellow, Xidian University, Xi’an, China.
2008-2010, Outstanding Graduate Scholarship, Xidian University, Xi’an, China.
2008-2010, Outstanding Student Leaders, Xidian University, Xi’an, China.
2005, Outstanding Student Leaders, Shaanxi Province, China.
2003, “Huwei” Scholarship, Xidian University, Xi’an, China.
2002-2005, Outstanding Undergraduate Scholarship, Xidian University, Xi’an, China.
2002-2005, Outstanding Student Leaders, Xidian University, Xi’an, China.
Team
团队教师
Hang Yu
硕士研究生
Xiangjie Yin Zengkuan Zhu Chenyang Li Le Zhao
Teaching
Teaching
Summer/2020, Lecturer for “Frontier of AI”;
Fall/2018, Lecturer for “Computer Vision”;
Spring/2018, Lecturer for “Image Processing”;
Fall/2017, Lecturer for “Computer Vision” and“Fundamentals of Spacecraft Control Theory”;
Spring/2017, Lecturer for “Image Processing” and“Introduction to Aerospace Technology”;
Fall/2016, Lecturer for “Computer Vision” and“Fundamentals of Spacecraft Control Theory”;
Spring/2016, Lecturer for “Image Processing” and“Introduction to Aerospace Technology”;
Fall/2015, Lecturer for “Computer Vision”, andTeaching Assistant for “Fundamentals of Spacecraft Control Theory”;
Spring/2015, Teaching Assistant for “Image Processing” and“Introduction to Aerospace Technology”;
PPT Download
Admission
~~~~~~~~~~~~~~~~~~~~~~~~~~
MS Information：
~~~~~~~~~~~~~~~~~~~~~~~~~~
Academic Master: Instrument Science and Technology (080400)
Engineering Master: Aerospace Engineering (085233)
We always welcome highly motivated students, especially the students joined in discipline contests:
1. Passion for innovation, excellence, and success;
2. Excellent training in one or more of the following disciplines: Matab, Python, C/C++, ARM, DSP, FPGA.
3. Ability and willingness to collaborate and work in a team.
Partners
Dr. Zhiguo Zhou
Assistant Professor
Computer Science & Software Engineering
University of Central Missouri, Warrensburg, MO, USA
WCM 223
zzhou@ucmo.edu
(660) 543-4507
Shaode Yu, Ph.D.
State Key Laboratory of Media Convergence and Communication, Communication University of China
Research Interests: Artificial Intelligence, Image Quality Assurance, Intelligent Information Processing
Email: yushaodemia@163.com
Web: http://www.scholat.com/nicolasyu
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