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基本信息 The basic information
姓名: 刘贞报

学院: 民航学院


学历: 博士研究生毕业

学位: 工学博士


职称: 教授

职务:


学科: 航空宇航科学





工作经历 Work Experience
1997-2001，西北工业大学学士学位
2001-2004，西北工业大学硕士学位
2005，东北师范大学-教育部留日预备学校
2006-2009，日本筑波大学博士学位
2009.03，日本东京大学访问****
2012.3，加拿大Simon Fraser University访问****
2012.7-8，浙江大学访问****
2010-2016，西北工业大学副教授

2016-至今，西北工业大学教授、博士生导师




教育教学 Education And Teaching
一、主讲课程

1、现代控制基础，本科生专业核心课程， 32学时
2、智能飞行控制，本科生专业课程，32学时

3、飞行控制系统，博士生专业课程，40学时

二、现指导研究生：博士生15名、硕士生12名、留学生3名，研究生生源地：西北工业大学13名、山东大学、电子科技大学、西安交通大学、南京航空航天大学、北京理工大学等
三、已毕业研究生：35名，毕业去向：中国航空工业自动控制所、中国航空工业成都飞机设计所、中国商飞、中航工业第一飞机设计院、中航工业试验飞行研究院、中航工业直升机所、中航工业发动机集团、中航工业空空导弹研究院、中国航天科技504所、中电集团14所、中电集团29所、中电集团28所、中电集团20所、道通智能无人机、国航公务机飞机设计部、阿里巴巴、华为、中兴通讯、美国马里兰大学博士后、加拿大Simon Fraser University大学博士生、澳大利亚国立大学博士生、新加坡南洋理工大学博士生、西安工程大学教师等。
四、指导学生业绩：1人获全院第一、2人获全院第三（共221人），9人获国家奖学金(RMB2万-3万)，1人获研究室种子基金资助，2人获校毕业设计重点扶持项目，4人获校优秀毕业设计论文，获得院最满意青年教师称号。




招生信息 Admission Information
研究方向
1、智能无人机：自主飞行控制、自主避障与编队
2、飞行控制技术

3、飞机故障诊断与容错控制
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招收博士生、硕士生，欢迎飞行器设计、飞行器控制与信息工程、控制与信息类等相关专业本科生申请直博、硕博连读、硕士保研、硕士延保，请发送邮件至liu_zhenbao@163.com，48小时内回复。




荣誉获奖 Awards Information
1、中组部****青年拔尖人才
2、陕西省青年科技奖获得者
3、民用飞机复杂机载系统智能预测维护技术，陕西省高校科技一等奖
4、基于XXX的飞机智能XXXX技术，XX科技成果鉴定
5、基于航空大数据的飞机XXXX预测技术，XX科技成果鉴定

6、航空工程国际化人才培养，陕西省教学成果一等奖

7、陕西省自然科学优秀论文奖

8、飞机大数据智能XXXX技术，XX科技二等奖
9、飞机机载系统智能XXXX技术，XX科技成果鉴定
10、飞行器XXXX系统XXXX识别技术，XX科技二等奖
11、基于XXXX的飞行器智能XXXX技术，XX科技三等奖
12、校翱翔青年****入选者






科学研究 Scientific Research
一、近五年主持的基金项目主要包括：
1、某国家级基金项目，无人机集群XXXX技术，2019-2020
2、某国家级重点基金项目，小型XXX无人机XX编队飞行与XX控制技术，2018-2021.
3、某国家级基金项目，无人XX装备建模技术，2019-2020.

4、某国家级基金项目，大型XX飞机控制XXXX故障推理技术，2018-2020.
5、某国家重大科技专项课题，大型民机XXX维修XXXX技术，2019-2021.
6、某国家重大科技专项课题，大型民机XXXX技术标准转换技术，2019-2020.
7、国家863计划项目，微纳自主飞行器XX环境感知XX技术，2015-2016.
8、国家宽体客机技术攻关项目，XXXX机载维护XX故障诊断与大数据XX研究 ，2015-2017.
9、陕西省重点研发计划，重点项目，基于人工智能的巡检无人机，2019-2021.
10、航空基金，重点项目，共轴双旋翼直升机XXXX监控XXXX，2017-2018.
11、航空基金，一般项目，基于大数据的XXXX飞机XXXX，2019-2020.

12、国家自然科学基金面上项目\青年项目、教育部留学人员科研启动基金、外专局留学人员择优资助项目、陕西省自然基金、深圳市自然基金面上项目、国家商用飞机工程研究中心创新基金、浙江大学CAD&CG国家重点实验室开放基金、华中科技大学数字制造装备与技术国家重点实验室开放基金、多项飞机型号研制项目等
13、校翱翔人才项目、新人新方向计划项目。



二、近五年发表的代表性期刊（仅中科院JCR分区表一区、二区）
[1] Zhenbao Liu, Xubo Liu, Jie Chen, Chen Fang, Altitude Control for Variable Load Quadrotor via Learning Rate Based Robust Sliding Mode Controller, IEEE Access, vol. 7, 9736–9744, 2018. (中科院JCR二区, 影响因子3.6)
[2] Zhizhong Han, Mingyang Shang, Zhenbao Liu, Chi-Man Vong, Yu-Shen Liu, Matthias Zwicker, Junwei Han, C. L. Philip Chen, SeqViews2SeqLabels: Learning 3D Global Features via Aggregating Sequential Views by RNN With Attention, IEEE Transactions on Image Processing, 28(2), 658~672, 2018. (中科院JCR二区, 影响因子5.0)
[3] Yongbo Li, Yu Wei, Ke Feng, Xianzhi Wang, Zhenbao Liu*, Fault Diagnosis of Rolling Bearing Under Speed Fluctuation Condition Based on Vold-Kalman Filter and RCMFE, IEEE Access, Vol. 6, 37349-37360, 2018. (中科院JCR二区, 影响因子3.6)
[4] Yongbo Li, Xianzhi Wang, Zhenbao Liu, Xihui Li, Shubin Si, The Entropy Algorithm and Its Variants in the Fault Diagnosis of Rotating Machinery: A Review, IEEE Access, Vol. 6, 66723~66741, 2018. (中科院JCR二区, 影响因子3.6)
[5] Zhenbao Liu, Taimin Liu,Junwei Han, Shuhui Bu, Xiaojun Tang, Michael Pecht, Signal Model-based Fault Coding for Diagnostics and Prognostics of Analog Electronic Circuits, IEEE Transactions on Industrial Electronics,64(1), 605-614, 2017. (中科院JCR一区，影响因子6.4)
[6] Zhenbao Liu, Zhen Jia, Chi Man Vong, Shuhui Bu, Junwei Han, Capturing High Discriminative Fault Features for Electronics-rich Analog System via Deep Learning, IEEE Transactions on Industrial Informatics, 13(3), 1213-1226, 2017. (中科院JCR一区，影响因子6.8)
[7] Zhenbao Liu, Xiao Wang, Shuhui Bu, Human centered saliency detection, IEEE Transactions on Neural Network and Learning Systems, 27(6), 1150-1162, 2016. (中科院JCR一区，影响因子6.2)
[8] Zhenbao Liu, Gaoyuan Sun , Shuhui Bu , Junwei Han , Xiaojun Tang , Michael Pecht. Particle Learning Framework for Estimating the Remaining Useful Life of Lithium-ion Batteries, IEEE Transactions on Instrumentation and Measurement, 66(2), 280-293, 2017. (影响因子2.5)
[9] Zhenbao Liu, Zhen Jia, Chi-Man Vong, Junwei Han, Chenggang Yan, Michael Pecht, A Patent Analysis of Prognostics and Health Management (PHM) Innovations for Electrical Systems, IEEE Access, Vol. 6, 18088-18107, 2018. (中科院JCR二区, 影响因子3.6)
[10] Zhenbao Liu, Jinxin Huang, Shuhui Bu, Junwei Han, Xiaojun Tang, Xuelong Li, Template Deformation Based 3D Reconstruction of Full Human Body Scans from Low-Cost Depth Cameras, IEEE Transactions on Cybernetics, 47(3), 695-708, 2017. (中科院JCR一区, 影响因子7.4)
[11] Zhenbao Liu, Jinxin Huang, Junwei Han, Shuhui Bu, Jianfeng Lv, Human Motion Tracking by Multiple RGBD Cameras, IEEE Transactions on Circuits and Systems for Video Technology, 27(9), 2014-2027, 2017. (中科院JCR二区, 影响因子3.6)
[12] Zhenbao Liu, Hongliang Qin, Shuhui Bu, Meng Yan, Jinxin Huang, Xiaojun Tang, Junwei Han, 3D real human reconstruction via multiple low-cost depth cameras, Signal Processing, 112, 162-179, 2015.(中科院JCR二区, 影响因子3.1)
[13] Zhenbao Liu, Shuhui Bu, Junwei Han, Locality-constrained sparse patch coding for 3D shape retrieval, Neurocomputing, 151, 583-592, 2015. (中科院JCR二区, 影响因子3.3)
[14] Zhizhong Han, Zhenbao Liu*, Junwei Han, Chi-Man Vong, Shuhui Bu, Xuelong Li, Unsupervised 3D Local Feature Learning by Circle Convolutional Restricted Boltzmann Machine, IEEE Transactions on Image Processing, 25(11), 5331-5344, 2016. (中科院JCR二区, 影响因子4.8)
[15] Zhizhong Han, Zhenbao Liu*, Chi-Man Vong, Yu-Shen Liu, Shuhui Bu, Junwei Han, Philip Chen, BoSCC: Bag of Spatial Context Correlations for Spatially Enhanced 3D Shape Representation, IEEE Transactions on Image Processing, 26(8), 3707-3720, 2017. (中科院JCR二区, 影响因子5.0)
[16] Shuhui Bu, Zhenbao Liu, Junwei Han, Jun Wu, Rongrong Ji, Learning High-level Feature by Deep Belief Networks for 3D Model Retrieval and Recognition, IEEE Transactions on Multimedia, 16(8), 2151-2167, 2014. (中科院JCR一区, 影响因子3.5)
[17] Zhizhong Han, Zhenbao Liu*, Junwei Han, Chi-Man Vong, Shuhui Bu, C.L. Philip Chen, Mesh Convolutional Restricted Boltzmann Machines for Unsupervised Learning of Features with Structure Preservation on 3-D Meshes, IEEE Transactions on Neural Network and Learning Systems, 28(10), 2268-2281, 2017. (中科院JCR一区，影响因子6.2)
[18] Zhizhong Han, Zhenbao Liu*, Chi-Man Vong, Yu-Shen Liu, Shuhui Bu, Junwei Han, C.L. Philip Chen, Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network With Coupled Softmax, IEEE Transactions on Image Processing, 27(6), 3049-3063, 2018. (中科院JCR二区, 影响因子4.8)
[19] Zhizhong Han, Zhenbao Liu*, Chi-Man Vong, Shuhui Bu, and C. L. Philip Chen, Unsupervised Learning of 3-D Local Features From Raw Voxels Based on a Novel Permutation Voxelization Strategy, IEEE Transactions on Cybernetics, 1-14, 2018. (中科院JCR一区, 影响因子7.4)
[20] Xiaojun Tang, Zhenbao Liu, Yu Hu, New results on pseudospectral methods for optimal control, Automatica, Vol. 65, 160-163, 2016. (中科院JCR一区, 影响因子5.5)
[21] Xiaojun Tang, Zhenbao Liu, Xin Wang, Integral Fractional Pseudospectral Methods for Solving Fractional, Optimal Control Problems, Automatica, Vol. 62, 304–311, 2015. (中科院JCR一区, 影响因子5.5)
[22] Gong Cheng, Junwei Han, Lei Guo, Zhenbao Liu, Shuhui Bu, Jinchang Ren, Effective and Efficient Midlevel Visual Elements-Oriented Land-Use Classification Using VHR Remote Sensing Images, IEEE Transactions on Geoscience and Remote Sensing, 53(8), 4238-4249, 2015. (中科院JCR一区, 影响因子4.6)（ESI高被引论文）
[23] Shuhui Bu, Zhenbao Liu*, Tsuyoshi Shiina, Kengo Kondo, Makoto Yamakawa, Kazuhiko Fukutani, Yasuhiro Sommeda, and Yasufumi Asao, Model-based reconstruction integrated with fluence compensation for photoacoustic tomography, IEEE Transactions on Biomedical Engineering, 59(5), 1354-1363, 2012. (中科院JCR二区, 影响因子3.6)
[24] Shuhui Bu, Pengcheng Han, Zhenbao Liu*, Junwei Han, Scene parsing using inference Embedded Deep Networks, Pattern Recognition, Vol. 53, 188-198, 2016. (中科院JCR二区, 影响因子4.6)
[25] Junwei Han, Peichang Zhou, Dingwen Zhang, Gong Cheng, Lei Guo, Zhenbao Liu, multi-class geospatial targets based on visual saliency modeling and discriminative learning of sparse coding, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 89, 37-38, 2014. (中科院JCR一区, 影响因子6.4) (ESI高被引论文)
[26] Shuhui Bu, Lei Wang, Pengcheng Han, Zhenbao Liu*, Ke Li, 3D shape recognition and retrieval based on multi-modality deep learning, Neurocomuting, Vol. 259, 183-193, 2017. (中科院JCR二区, 影响因子3.3)
[27] Xiaojun Tang, Zhenbao Liu, Jiasheng Zhang, “Square-root quaternion cubature Kalman filtering for spacecraft attitude estimation”, Acta Astronautica, Vol. 76, 84-94, 2012. (中科院JCR二区, 影响因子3.3)
[28] Qin Li, Ke Li, Xiong You, Shuhui bu, Zhenbao Liu, Place recognition based on deep feature and adaptive weighting of similarity matrix, Neurocomuting, Vol. 199, 114-127, 2016. (中科院JCR二区, 影响因子3.3)
[29] Shuhui Bu, Shaoguang Cheng, Zhenbao Liu*, Junwei Han, Multimodal Feature Fusion for 3D Shape Recognition and Retrieval, IEEE Multimedia, 21(4), 38-46, 2014. (中科院JCR二区，影响因子2.8)




三、代表性国际会议

[1] Shuhui Bu, Yong Zhao, Gang Wan, and Zhenbao Liu, Map2DFusion: Real-time Incremental UAV Image Mosaicing based on Monocular SLAM, IEEE/RSJ International Conference on Intelligent Robots and Systems, 4564-4571, South Korea, Oct. 2016.
[2] Zhenbao Liu, Shaoguang Cheng, Shuhui Bu, Ke Li, “High-level Semantic Feature for 3D Shape Based on Deep Belief Networks,” IEEE Conference on Multimedia & Expo, China, 2014.
[3] D. Pickup, X. Sun, P.L. Rosin, R.R. Martin, Z. Cheng, Z. Lian, M. Aono, A. Ben Hamza, A. Bronstein, M. Bronstein, S. Bu, U. Castellani, S. Cheng, V. Garro, A. Giachetti, A. Godil, J. Han, H. Johan, L. Lai, B. Li, C. Li, H. Li, R. Litman, X. Liu, Z. Liu, Y. Lu, A. Tatsuma, J. Ye, “SHREC’14 Track: Shape Retrieval of Non-Rigid 3D Human Models,” Eurographics Workshop on 3D Object Retrieval, London, 2014.
[4] Jun Wu, Wenjing Qiao, Cailiang Kuang, Zhenbao Liu, Shuhui Bu, Junwei Han, “A 3D Fingertips Detecting and Tracking Algorithm based on the Sliding Window,” ACM Multimedia, USA, 2014.
[5] Zhenbao Liu, Shicong Tang, Hongliang Qin, Shuhui Bu, “Evaluating user’s energy consumption using Kinect based skeleton tracking,” ACM Multimedia, Japan, 2012.
[6] Shuhui Bu, Zhenbao Liu*, Junwei Han, Jun Wu, “Superpixel segmentation based structural scene recognition,” ACM Multimedia, Spain, 2013.
[7] Zhenbao Liu, Gaoyuan Sun, Shuhui Bu, and Chao Zhang, “Remaining useful life estimation of lithium-ion battery using exemplar-based conditional particle filter”, IEEE International Conference on Prognostics and Health Management, Texus, USA, pp. 1-8, 2015.
[8] Zhenbao Liu, Dasen Fan, Shuhui Bu, Chao Zhang, “Prediction of remaining useful life of battery cell using logistic regression based on strong tracking particle filter”, IEEE International Conference on Prognostics and Health Management, Texus, USA, pp. 1-6, 2015.
[9] Yang Li, Shuhui Bu, Zhenbao Liu, Chao Zhang, Mechanical fault diagnosis of rolling bearing based on locality-constrained sparse coding, IEEE International Conference on Prognostics and Health Management, Texus, USA, pp. 1-7, 2015.


四、国家发明专利
已授权发明专利15项，第一完成人授权11项，公开15项，涉及飞行控制技术、无人机自主飞行、故障诊断与虚拟维修等。

五、出版专著

[1] 刘贞报 著，基于机器学习的物体自动理解技术，科学出版社，2017.1出版。[京东畅销书]
[2] Zhenbao Liu, Shuhui Bu, Junwei Han, Human-Centered 3D Home Applications via Low-Cost RGBD Cameras, Chapter 6 of Book Computer Vision and Machine Learning with RGB-D Sensors, Springer, 2014.
[3] Zhenbao Liu, Zhen Jia, Chi-Man Vong, Shuhui Bu, Prognostics and Health Management of Electronics:Fundamentals, Machine Learning, and IoT, Chapter 22, Wiley Publishing, 2018.






社会兼职 Social Appointments
担任美国电子电气工程师学会IEEE Access期刊（SCI中科院分区表二区，影响因子4.0）副主编，IEEE航宇电子学会高级会员、中国航空学会会员，担任校民用无人机研发中心型号总师，担任军委科技委、军委装备发展部、国家自然基金、省自然基金、国防基础科研计划、教育部学位中心等评审专家，担任中航工业第一飞机设计院飞机型号研制评审专家，担任IEEE Transactions on Neural Network and Learning Systems\IEEETransactions on Aerospace and Electronic Systems\IEEE Transactions onCybernetics\IEEE Transactions on Industrial Electronics等期刊审稿人，担任国际航空维修大会、Pattern Recognition国际会议、中国虚拟现实大会程序委员会委员、日本IWGV会议和Pacific-Rim Multimedia分会主席，担任中国创新创业大赛决赛评委，国际无人机大会评委，深圳科创委评委。





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