西安电子科技大学人工智能学院导师教师师资介绍简介-刘红英

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基本信息
刘红英副教授
博士、硕士生导师
工作单位：人工智能学院
硕士学科：
计算机科学与技术(0812)
电子与通信工程(085400)

联系方式
通信地址：西安市雁塔区太白南路2号
西安电子科技大学224信箱
电子邮箱：hyliu@xidian.edu.cn
办公地点：主楼III-405 (北校区)

个人简介
刘红英，女，分别于2006年与2009年获得计算机科学与技术工学学士学位与工学硕士学位，并于2009年4月获得日本文部科学省 Global COE 全额奖学金资助赴早稻田大学留学，2012年毕业于日本早稻田大学信息生产与系统专业，获得工学博士学位。博士期间从事智能信号处理及其应用研究的课题，近几年来，公开发表论文六十余篇。现在研究方向：深度学习，机器学习，人工智能，遥感图像处理等。也是IEEE会员，IEEE CIS 西安分部成员。2013年6月起在西安电子科技大学任讲师，2016年5月遴选为研究生硕导，7月晋升为副教授，是智能感知与图像理解教育部重点实验室成员。
工作以及受教育经历：
2018.01 ~ 现在：西安电子科技大学, 人工智能学院，副教授
2013.06 ~ 2017.12：西安电子科技大学, 电子工程学院，讲师，副教授
2012.10 ~ 2013.03：日本早稻田大学，信息、生产与系统研究科，研究助手
2009.04 ~ 2012.11：日本早稻田大学，信息、生产与系统工程学，工学博士，导师 Satoshi Goto
相关链接：
日本早稻田大学的博士导师 (IEEE Life Fellow)：Satoshi Goto, 现在是Vice President of Research in Egypt Japan University of Science and Technology(E-JUST)https://ejust.edu.eg/vice-president-of-research/
早大的校友JinJia Zhou(周金佳) 目前在 Hosei University (法政大学 )任教授:https://www.zhou-lab.info/jinjia-zhou
博士后导师：焦李成教授，https://web.xidian.edu.cn/lchjiao/

主要研究方向及招生信息
欢迎广大考生报考，加入我们的团队！
人工智能(深度学习等)
图像/视频处理；机器学习 (优化算法)
研究生招生信息：
招生专业：
081200 计算机科学与技术
085400 电子与通信工程 & 计算机技术
关于报名优研计划，请参考人工智能学院公告：http://sai.xidian.edu.cn/info/1106/5161.htm
关于报名推免读研，请参考人工智能学院的通知：http://sai.xidian.edu.cn/info/1106/3804.htm
每年计划招生4人左右，接收本校及外校保送生，优研生及统招生(计算机，信息，数学等专业)。若考生有下列情况之一，录取时会优先考虑：
（1）具有较强的编程能力；
（2）具备良好的英文读写能力；
（3）具备良好的数学功底；
（4）参加各类国家级竞赛并取得了较好的成绩；
希望考生有进取心和较强的团队合作精神。咨询的最佳联系方式是Email联系，见信后会尽快回复。
如果是本校应届毕业生有意报考，欢迎选择老师的毕业设计题目，选题前请先通过邮件联系。
人工智能学院主页：http://sai.xidian.edu.cn/index.htm

科学研究
目前承担的科研项目：
l 2020.01～2023.12，国家自然基金面上科学基金项目；
l 2016.01～2018.12，国家自然基金青年科学基金项目；
l 2016.05～2018.04，陕西省自然科学基础研究计划青年人才项目；
l 2014.09～2016.08，中国博士后第56批面上项目；
l 2014.10～2015.09，教育部留学回国人员科研启动基金项目；
l 2015.01～2016.12，中央高校基本科研业务费；
l 2013.10～2014.09，西安电子科技大学新教师创新基金项目；
l 2014.05~2016.04，西安电子科技大学教育教学改革项目，智能计算类课程的创新改革与实践研究；

学术论文
[最近期刊论文]
Hongying Liu*, Fanhua Shang*, Shuyuan Yang, Maoguo Gong, Tianwen Zhu, Licheng Jiao, Sparse Manifold Regularized Neural Networks for Polarimetric SAR Terrain Classification, IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(8), 2162-2388.PDF2019 IF:11.683
Hongying Liu, Ruyi Luo, Fanhua Shang*, Xuechun Meng, Shuiping Gou, Biao Hou, Semi-Supervised Deep Metric Learning Networks for Classification of Polarimetric SAR Data, Remote Sensing, 2020, 12(10), 1593-1607 (DOI: 10.3390/rs**). PDF2019 IF:4.118
Hongying Liu*, Feixiang Wang, Shuyuan Yang, Biao Hou, Licheng Jiao, Ri Yang, Fast Semi-supervised Classification Using Histogram-based Density Estimation for Large-scale Polarimetric SAR Data, IEEE Geoscience and Remote Sensing Letters, 2019, 16(12), 1844-1848. 2019IF:3.534
Hongying Liu*, Zhi Wang, Fanhua Shang*, Shuyuan Yang, Shuiping Gou, Licheng Jiao, Semi-supervised Tensorial Locally Linear Embedding for Feature Extraction using PolSAR Data, IEEE Journal of Selected Topics in Signal Processing, 2018, 12(6), 1476-1490. (WOS:028) 2019 IF:6.688
Fanhua Shang, Kaiwen Zhou, Hongying Liu*, James Cheng, Ivor Tsang, Lijun Zhang, Dacheng Tao, Jiao Licheng. VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning, IEEE Transactions on Knowledge and Data Engineering, 2018. 2020,3(1),188-202. CCFA类期刊2019IF:3.857
Hongying Liu*, Shuyuan Yang, Shuiping Gou, Shuai Liu, Licheng Jiao, Terrain Classification based on Spatial Multi-attribute Graph using Polarimetric SAR Data, Applied Soft Computing, 2018,Volume 68, July, 24-38.(WOS:003) 2019 IF:4.873
Hongying Liu, Shuyuan Yang*, Shuiping Gou, Puhua Chen, Yikai Wang, and Licheng Jiao, Fast Classification for Large Polarimetric SAR Data based on Refined Spatial-anchor Graph, IEEE Geoscience and Remote Sensing Letters, 2017, 14(9), 1589-1593. (WOS: 034) 2019 IF:3.534
Hongying Liu, Shuyuan Yang*, Shuiping Gou, Dexiang Zhu, Rongfang Wang, and Licheng Jiao, Polarimetric SAR Feature Extraction with Neighborhood Preservation-based Deep Learning, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(4) : 1456-1466. (WOS:018) 2017 IF:2.777
Hongying Liu*, Dexiang Zhu, Shuyuan Yang, Biao Hou, Shuiping Gou, Tao Xiong and Licheng Jiao, Semi-supervised Feature Extraction with Neighborhood Constraints for Polarimetric SAR Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9 (7), 3001-3015. (WOS:015) 2017 IF:2.777
Hongying Liu*, Yikai Wang, Shuyuan Yang, Shuang Wang, Jie Feng, and Licheng Jiao, Large Polarimetric SAR Data Semi-supervised Classification with Spatial-anchor Graph, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9 (4), 1439-1458. IF:3.026 (DOI: 10.1109/JSTARS.2016.**)
Hongying Liu*, Shuang Wang, Rongfang Wang, Junfei Shi, Erlei Zhang, Shuyuan Yang, and Licheng Jiao, A framework for Classification of Urban Areas Using Polarimetric SAR Images Integrating Color Features and Statistical Model. Journal of Infrared and Millimeter Waves. IF:0.295
Jianing Wang*, Licheng Jiao, Hongying Liu, Shuyuan Yang, and Fang Liu, Hyperspectral Image Classification by Spatial-Spectral Derivative-aided Kernel Joint Sparse Representation, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(6), pp: 2485-2500. IF:3.026
Fang Liu*, Junfei Shi, Licheng Jiao, Hongying Liu, Shuyuan Yang, Jie Wu, Hongxia Hao, and Jialing Yuan, Hierarchical Semantic Model and Scattering Mechanism Based PolSAR Image Classi?cation, Pattern Recognition, 2016.02. IF:3.09
Junfei Shi, Lingling Li, Fang Liu, Licheng Jiao, Hongying Liu, Shuyuan Yang, et al. Unsupervised polarimetric synthetic aperture radar image classification based on sketch map and adaptive Markov random field. Journal of Applied Remote Sensing,2016,10(2), pp..., in press
Erlei Zhang*, Xiangrong Zhang, Hongying Liu, and Licheng Jiao, Fast Multifeature Joint Sparse Representation for Hyperspectral Image Classification, IEEE Geoscience and Remote Sensing Letters, 2015, 12(7): 1397-1401. IF:2.095
Erlei Zhang*, Licheng Jiao, Xiangrong Zhang, Hongying Liu, Shuang Wang, Class-Level Joint Sparse Representation for Multifeature-based Hyperspectral Image Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 12(7): 1397-1401. IF:3.026
Erlei Zhang*, Xiangrong Zhang, Licheng Jiao, Hongying Liu, Shuang Wang, et al, Weighted multifeature hyperspectral image classification via kernel joint sparse representation, Neurocomputing, 2016, 178, pp:71-86. IF:2.083
Shaona Wang*, Licheng Jiao, Shuyuan Yang, Hongying Liu. SAR Image Target Recognition via Complementary Spatial Pyramid Coding. Neurocomputing, 2016, DOI: 10.1016/j.neucom.2016.02.059 , in press. IF:2.083
Miaoyun Zhao*, Licheng Jiao, Wenping Ma, Hongying Liu, Shuyuan Yang, Classification and saliency detection by semi-supervised low-rank representation, Pattern Recognition, Vol 51, March 2016, pp: 281–294.
Bo Chen*, Shuang Wang, Licheng Jiao, Rustam Stolkin, and Hongying Liu. A Three-Component Fisher-Based Feature Weighting Method for Supervised PolSAR Image Classification. IEEE Geoscience and Remote Sensing Letters, Vol.12, Issue: 4 , pp. 731 – 735,2015. IF:2.09
Tao Xiong*, Shuang Wang, Biao Hou, Yong Wang, and Hongying Liu. A Resample-Based SVA Algorithm for Sidelobe Reduction of SAR/ISAR Imagery With Noninteger Nyquist Sampling Rate.(2015). IEEE Trans. on GRS, VOL 53, NO 2, pp: 1016-1028, Feb.2015. IF:3.514
Shuang Wang*, Linsheng Wu, Licheng Jiao, Hongying Liu. Improve the Performance of Co-Training by Committee with Refinement of Class Probability Estimations. Neurocomputing,Vol.136:30-40, Feb.2014. IF:2.083
Shuyuan Yang*, Zhixi Feng, Yu Ren, Hongying Liu, Licheng Jiao. Semi-supervised Classification via Kernel Low-Rank Representation Graph. Knowledge-Based Systems,Vol.69, pp.150-158,Oct.2014. IF:2.947
Hongying Liu*, Xin Jin, Yukiyasu Tsunoo, and Satoshi Goto, “Correlated Noise Reduction for Electromagnetic Analysis”, IEICE Transactions on Fundamentals. Vol. E96-A, No.1, pp. 185-195, Jan. 2013.
[最近会议论文]
Hongying Liu, Peng Zhao, Zhubo Ruan, Fanhua Shang, et al, Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling. To appear in Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021.(CCF A)
Hongying Liu, Zhongshu Wang, Fanhua Shang*, et al, A Novel Deep Framework for Change Detection of Multi-source Heterogeneous Images, IEEE International Conference on Data Mining (ICDM) Workshop, Nov 8, 2019, Nov 8,pp.165-171, 2019, Beijing, China, 最佳论文奖.
Hongying Liu, Xiongjie Shen, Fanhua Shang*, et al, CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation, 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) Workshop, Oct 17, Shen Zhen, China, pp. 102–111, 2019.

荣誉获奖
2012.09Anita Borg亚洲区（包括日本、韩国、新加坡等国家）优秀领袖和研究成果奖.
2009.04 日本早稻田大学优秀博士全额奖学金
2009.03 陕西省优秀毕业生干部

科研团队
硕士研究生(亲自及协助指导)：
2020级：马国梁，赵鹏，尚凡洁，郭晨
2019级：朱天文，罗如意，马轲
2018级：阮朱波，周振宇，魏秉坤，张智慧
2017级：陈家石，沈雄杰，王钟书
2016级：王志，王飞祥
2014级：闵强，邢兴
2013级：朱德祥，王艺恺

课程教学
目前本人承担的教学任务：
数字图像处理（2018年，2019年, 2020年秋季学期），
深度学习 (部分教学)
2019级本科生学业导师
毕业设计(2013年秋季~2020年秋季学期)
计算智能导论课程(2014年春季~2016年春季学期)
计算机导论(2015年秋季~2016年秋季学期)
课程设计(2014年秋季学期)

计算智能导论课程(2014年春季学期)
《计算智能导论》课程PDF文档:
Part1 课程绪论和进化计算1-3
Part2 进化计算4-7
Part3 神经网络
Part4 模糊逻辑
《计算智能导论》课程实践文档
《计算智能导论》课程学习辅助资源

招生要求
~~~~~~~~~~~~~~~~~~~~~~~~~~
关于研究生招生的信息：
欢迎电路与系统，模式识别等方向的硕士研究生。
(最新)：
关于报名优研计划，请参考人工智能学院公告：http://sai.xidian.edu.cn/info/1106/5161.htm
关于报名推免读研，请参考人工智能学院的通知：http://sai.xidian.edu.cn/info/1106/3804.htm
招生学科：
081200 计算机科学与技术
085400 电子与通信工程 & 计算机技术
研究方向：
每年计划招生4人左右，接收本校及外校保送生，优研生及统招生。若考生有下列情况之一，录取时会优先考虑：
（1）具有较强的编程能力；
（2）具备良好的英文读写能力；
（3）具备良好的数学功底；
（4）参加各类国家级竞赛并取得了较好的成绩；
希望考生有进取心和较强的团队合作精神。咨询的最佳联系方式是Email联系，见信后会尽快回复。
如果是本校应届毕业生有意报考，欢迎选择老师的毕业设计题目，选题前请先通过邮件联系。
人工智能学院主页：http://sai.xidian.edu.cn/index.htm
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Profile
Name: Hongying LIU ,
Title: Associate professor
Doctoral Supervisor

Contact Information
Address:
P.O. Box 224, Xidian University,
NO.2 South Taibai Road,
Xi\\\\\\'An 710071,China
Email: hyliu@xidian.edu.cn
hyliu2009@gmail.com
Tel: +86-
Office: MainBuilding III-405

Introduction
HongyingLiu is an associate professor at the School of Artificial Intelligence (AI), and is also with the Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, China. She received her B.E. and M.S. degrees in Computer Science and Technology from Xi’An University of Technology, China, in 2006 and 2009, respectively. She received her Ph.D. in Engineering from Waseda University, Japan in 2012. She was promoted as an associate professor in Xidian University in 2016. In addition, she is a member of IEEE computer society, and China Society of Image and Graphics. Her major research interests include video processing, machine learning, computer vision, etc. Recently, she has published more than 50 papers on top journals and conferences, such as IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Knowledge and Data Engineering (TKDE), and IEEE Journal of Selected Topics in Signal Processing. She has over 20 patents for invention, and she won the best paper award for 2019 IEEE International Conference on Data Mining (ICDM) Workshop, and the Google Anita Borg Memorial Scholarship Asia in 2012. She is leading projects as the PI, funded by the National Natural Science Foundation of China, and participated in the National High Technology Research and Development Program of China.

Research Interests
1．Image/Video processing
2. Artificial intelligence
3. Deep learning
4. Machine learning
5．

Research
目前研究团队承担的科研项目：

Papers
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Honors
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Team
团队教师

博士研究生
硕士研究生

Teaching
目前本人承担的教学任务：

课件下载示例

Admission
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Not available...
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