个人简介

刘明，工学博士，副教授，硕士生导师。2009年获西安电子科技大学信息对抗技术专业工学学士学位，2015年获西安电子科技大学模式识别与智能系统专业工学博士学位，毕业至今在ABG欧博网平台登录从事科研和教学工作。2019年-2020年加拿大McMaster University访学学者。主讲《离散数学》、《线性代数》课程，主要研究方向为：目标检测与目标识别。入选陕西省科协青年人才托举计划，获国际无线电科学联盟（URSI）“青年科学家”奖，获陕西省计算机学会“计算机领域优秀青年专家”称号。主持和参与了包括国家自然科学基金、国家重大基础研究计划、装备预先研究、陕西省自然科学基金等10余项国家级和省部级科研项目。发表学术论文60余篇，授权国家发明专利10项（部分已转化）。

学术论文

[1] Ming Liu, Shichao Chen, Fugang Lu, Mengdao Xing, and Jingbiao Wei, “Realizing Target Detection in SAR Images Based on Multiscale Superpixel Fusion,” Sensors, 2021, vol. 21, no. 5, 1643. (SCI)

[2] Ming Liu, Shichao Chen, Fugang Lu, and Junsheng Liu, “Product Dictionary Learning-Based SAR Target Configuration Recognition,” International Journal of Antennas and Propagation, 2020, vol. 2020, pp. 1-8. (SCI)

[3] Ming Liu and Shichao Chen, “SAR Target Configuration Recognition Based on the Dempster-Shafer Theory and Sparse Representation Using a New Classification Criterion,” International Journal of Remote Sensing, 2019, vol. 40, no. 12, pp. 4604-4622. (SCI)

[4] Ming Liu, Shichao Chen, Jie Wu, Fugang Lu, Xili Wang, and Mengdao Xing, “SAR Target Configuration Recognition via Two-Stage Sparse Structure Representation,” IEEE Transactions on Geoscience and Remote Sensing, 2018, vol. 56, no. 4, pp. 2220-2232. (SCI)

[5] Ming Liu, Shichao Chen, Xili Wang, Fugang Lu, Mengdao Xing, and Jie Wu, “SAR Target Configuration Recognition via Discriminative Statistical Dictionary Learning,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, vol. 11, no. 11, pp. 4218-4229. (SCI)

[6] Ming Liu, Shichao Chen, Jie Wu, Fugang Lu, Jun Wang, and Taoli Yang, “Configuration Recognition via Class-Dependent Structure Preserving Projections with Application to Targets in SAR Images,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, vol. 11, no. 6, pp. 2134-2146. (SCI)

[7] Ming Liu, Shichao Chen, Fugang Lu, and Mengdao Xing, “SAR Target Configuration Recognition via Product Sparse Representation,” Sensors, 2018, vol. 18, no. 10, 3535. (SCI)

[8] Ming Liu, Shichao Chen, Fugang Lu, and Jun Wang, “SAR Target Configuration Recognition via Structure Preserving Dictionary Learning,” AEU-International Journal of Electronics and Communications, 2018, vol. 83, pp. 523-532. (SCI)

[9] Ming Liu and Shichao Chen, “Label-Dependent Sparse Representation for Synthetic Aperture Radar Target Configuration Recognition,” International Journal of Remote Sensing, 2017, vol. 38, no. 17, pp. 4868-4887. (SCI)

[10] Ming Liu, Yan Wu, Qiang Zhang, Fan Wang, and Ming Li, “Synthetic Aperture Radar Target Configuration Recognition Using Locality-Preserving Property and the Gamma Distribution,” IET Radar, Sonar and Navigation, 2016, vol. 10, no. 2, pp. 256-263. (SCI)

[11] Ming Liu, Yan Wu, Wei Zhao, Qiang Zhang, Ming Li, and Guisheng Liao, “Dempster-Shafer Fusion of Multiple Sparse Representations and Statistical Property for SAR Target Configuration Recognition,” IEEE Geoscience Remote Sensing Letters, 2014, vol. 11, no. 6, pp. 1106-1110. (SCI)

[12] Ming Liu, Yan Wu, Peng Zhang, Qiang Zhang, Yanxin Li, and Ming Li, “SAR Target Configuration Recognition Using Locality Preserving Property and Gaussian Mixture Distribution,” IEEE Geoscience Remote Sensing Letters, 2013, vol. 10, no. 2, pp. 268-272. (SCI)

[13] Ming Liu and Shichao Chen, “SAR Target Configuration Recognition via Multi-Manifold Based Sparse Representation,” 2021 XXXIVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS), Rome, Italy, August 28 - September 4, pp. 1-4, 2021. (EI)

[14] Ming Liu and Shichao Chen, “SAR Target Configuration Recognition Based on Integrated Graph Model,” 2021 XXXIVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS), Rome, Italy, August 28 - September 4, pp. 1-4, 2021. (EI)

[15] Ming Liu, Shichao Chen, Fugang Lu, Mengdao Xing, and Jingbiao Wei, “A Target Detection Method in SAR Images Based on Superpixel Segmentation,” IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT 2020), Shenzhen, China, November 13-15, pp. 528-530, 2020. (EI)

[16] Ming Liu, Shichao Chen, Fugang Lu, Jun Wang, Jie Wu, and Taoli Yang, “A Fast Sparse Representation Method for SAR Target Configuration Recognition,” IEEE Geoscience Remote Sensing Symposium (IGARSS), Valencia, Spain, July 22-27, pp. 7003-7006, 2018. (EI)

[17] Ming Liu, Shichao Chen, Fugang Lu, Jun Wang, Jie Wu, and Taoli Yang, “Achieving SAR Target Configuration Recognition by Combining Sparse Graph and Locality Preserving Projections,” IEEE Geoscience Remote Sensing Symposium (IGARSS), Valencia, Spain, July 22-27, pp. 29-32, 2018. (EI)

[18] Ming Liu, Shichao Chen, Jie Wu, Fugang Lu, Jun Wang, and Taoli Yang, “SAR Target Configuration Recognition Using Class-Dependent Locality Preserving Projections,” IEEE International Geoscience Remote Sensing Symposium (IGARSS), Fort Worth, USA, July 23-28, pp. 3301-3304, 2017. (EI)

授权发明专利

[1] 刘明, 汪西莉, 武杰. 基于结构保持字典学习的SAR目标型号识别方法, 中国, 专利授权号: ZL201710487290.0, 授权公告日: 2021.01.05.

[2] 刘明. 基于乘性稀疏表示和Gamma分布的SAR目标识别方法, 中国, 专利授权号: ZL201810884536.2, 授权公告日: 2020.10.09.

[3] 刘明. 基于多样本支持度融合的SAR目标识别方法, 中国, 专利授权号: ZL201810288963.4, 授权公告日: 2020.09.11.

[4] 刘明, 汪西莉, 武杰, 孙增国, 洪灵. 基于快速稀疏描述的SAR目标型号识别方法, 中国, 专利授权号: ZL201611261370.6, 授权公告日: 2020.07.10.

[5] 刘明, 汪西莉, 武杰, 孙增国, 洪灵. 基于融合类别信息与局部保持投影的SAR目标型号识别方法, 中国, 专利授权号: ZL201611257050.3, 授权公告日: 2020.04.10.

科研项目

[1] 国家自然科学基金青年项目（2018.01-2020.12，主持）

[2] 陕西省自然科学基金青年项目（2018.01-2019.12，主持）

[3] 陕西省科协青年人才托举计划项目（2020.01-2021.12，主持）

[4] XXX探测识别横向项目（2020.09-2020.12，主持）

[5] XXX探测识别与数据库构建横向项目（2021.01-2021.12，主持）

[6] 中央高校基本科研业务费专项资金项目（2021.01-2022.12，主持）

[7] 中央高校基本科研业务费专项资金项目（2019.01-2020.12，主持）

[8] 中央高校基本科研业务费专项资金项目（2016.01-2017.12，主持）