刘贞报


的个人主页 http://teacher.nwpu.edu.cn/liuzhenbao

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基本信息 The basic information

刘贞报

航空学院

博士研究生毕业

工学博士

教授

交通运输工程,航空宇航科学

liu_zhenbao@163.com

029-88492344

工作经历 Work Experience

1997-2001,西北工业大学大学学士学位

2001-2004,西北工业大学大学硕士学位

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,日本东京大学访问学者

2012.3,加拿大Simon Fraser University访问学者

2012.7-8,浙江大学访问学者

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、传感器,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、虚拟现实与虚拟维修,研究生专业课程, 40学时

4、飞行器容错控制,研究生专业课程,40学时

二、现指导研究生:博士生4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

三、已毕业研究生:20名,毕业去向: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、中国航天科技504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),7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:无人机自主飞行控制、自主避障与编队、无人机监管与反制

2、飞行控制技术

3、飞机大数据故障诊断与虚拟维修

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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、2018.03,航空工程国际化人才培养,陕西省教学成果一等奖,第二完成人

2、2017.02,机载系统****智能****技术,教育部科技进步奖二等奖,第一完成人

3、2017.01,陕西省自然科学优秀论文奖

4、2011.01,飞行器***系统****识别技术,XX科技进步二等奖

5、2014.12,飞机机载系统智能****技术,XX科技成果鉴定

科学研究 Scientific Research

一、近五年主持的基金项目主要包括:

1、国家军委装备发展部装备基金,小型XXX无人机XX编队飞行与XX控制技术,2018-2021.

2、国家军委科技委创新基金,大型XX飞机控制XXXX故障推理技术,2018-2020.

3、国家863计划项目,微纳自主飞行器XX环境感知XX技术,2015-2016.

4、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.

5、国家自然科学基金、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、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等

6、校翱翔之星人才项目、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, 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), pp. 605-614, 2017. (中科院JCR一区,影响因子6.4)

[2] 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)

[3] 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)

[4] 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), pp. 280-293, 2017. (影响因子2.5)

[5] 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, 1-21, 2018. (中科院JCR二区, 影响因子3.2)

[6] 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)

[7] 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)

[8] 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, 2017. (中科院JCR一区, 影响因子7.4)

[9] 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)

[10] 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)

[11] 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)

[12] 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4.8)

[13] 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 3D 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)

[14] Zhizhong Han, Zhenbao Liu*, Junwei Han, Chi-Man Vong, Shuhui Bu, 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, 2017. (中科院JCR一区, 影响因子7.4)

[15] Xiaojun Tang, Zhenbao Liu, Yu Hu, New results on pseudospectral methods for optimal control, Automatica, 65:160-163, 2016. (中科院JCR一区, 影响因子5.5)

[16] Xiaojun Tang, Zhenbao Liu, Xin Wang, Integral Fractional Pseudospectral Methods for Solving Fractional, Optimal Control Problems, Automatica, 62:304311, 2015. (中科院JCR一区, 影响因子5.5)

[17] 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)

[18] 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二区, 影响因子4.9) (ESI高被引论文)

[19] 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)

[20] Shuhui Bu, Pengcheng Han, Zhenbao Liu*, Junwei Han, Scene parsing using inference Embedded Deep Networks, Pattern Recognition, 53:188-198, 2016. (中科院JCR二区, 影响因子4.6)

[21] 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, 89:37-38, 2014. (中科院JCR一区, 影响因子6.4) (ESI高被引论文)

[22] Shuhui Bu, Lei Wang, Pengcheng Han, Zhenbao Liu*, Ke Li, 3D shape recognition and retrieval based on multi-modality deep learning, Neurocomuting, 259:183-193, 2017. (中科院JCR二区, 影响因子3.3)

[23] Xiaojun Tang, Zhenbao Liu, Jiasheng Zhang, Square-root quaternion cubature Kalman filtering for spacecraft attitude estimation, Acta Astronautica, 76, 84-94, 2012. (中科院JCR二区, 影响因子3.3)

[24] Qin Li, Ke Li, Xiong You, Shuhui bu, Zhenbao Liu, Place recognition based on deep feature and adaptive weighting of similarity matrix, Neurocomuting, 199:114-127, 2016. (中科院JCR二区, 影响因子3.3)

[25] 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, 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, 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, 2014.

[5] Zhenbao Liu, Shicong Tang, Hongliang Qin, Shuhui Bu, “Evaluating user’s energy consumption using Kinect based skeleton tracking,” ACM Multimedia, 2012.

[6] Shuhui Bu, Zhenbao Liu*, Junwei Han, Jun Wu, “Superpixel segmentation based structural scene recognition,” ACM Multimedia, 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, Austin, 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, Austin, 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, Austin, Texus, USA, pp. 1-7, 2015.

  
四、国家发明专利

已授权发明专利14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3.6)副主编,IEEE会员、中国航空学会会员,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\IEEE Transactions on Aerospace and Electronic Systems\IEEE Transactions on Cybernetics\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。