王靖宇

个人经历 personal experience 工作经历 2021.09 - 今                西北工业大学    航天学院    教授(破格)2018.07 - 2021.09        西北工业大学    航天学院    副教授2015.01 - 2018.07         西北工业大学    航天学院    讲师

教育教学

综合介绍 General Introduction 王靖宇，男，汉族，中共党员，教授、博士生导师，国家级青年人才（QB），教育部高校”双带头人”教师党支部书记工作室负责人，工业和信息化部首届工信杰出青年入围者(全国10名)，陕西青年科技标兵、陕西青年科技奖获得者、陕西省高层次人才引进计划特聘专家、陕西省青年科技新星，西北工业大学翱翔青年学者、翱翔新星，航天飞行动力学技术国家级重点实验室及GF创新团队核心成员，航天学院无人系统制导与控制研究所党支部书记、副所长，NSFC通讯评审库专家、科技部项目评审库专家。长期从事空天探测信息智能处理领域的前沿基础研究工作，承担国家自然科学基金、国家重点研发计划、国防科技创新特区、陕西省重点研发计划、校企联合等科研项目20余项，在IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)、IEEE Transactions on Cybernetics (T-CYB)、IEEE Transactions on Neural Networks and Learning Systems (T-NNLS)、IEEE Transactions on Geoscience and Remote Sensing (T-GRS)、IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT)等IEEE Trans期刊和其他国际期刊上发表SCI论文50余篇，4篇论文先后入选ESI高被引论文，申请国家发明专利60余项（已授权10项），兼任《光子学报》、《航空兵器》青年编委，担任多个国际会议PC委员和多个国际/国内期刊审稿人，任中国自动化学会青工委、中国宇航学会探测与导引专委会、中国指挥与控制学会青工委、中国应急管理学会社会治安防控与应急保障工作委员会等委员，是中国宇航学会、中国指挥与控制学会、中国光学工程学会等高级会员，任陕西省自然资源学会理事，是中国应急管理学会、陕西省航空学会、IEEE、AIAA等会员。获陕西省高等教育教学成果奖二等奖1项、陕西省自然科学优秀学术论文奖二等奖1项。 个人相册

荣誉获奖

教育教学 Education and teaching 教育教学 招生信息 本科生专业核心课程：       自动控制原理（春、秋季学期）研究生专业选修课程：       人工智能理论、方法及应用（春季学期）       学术写作前沿与实践（春季学期）        学科方向：082500 航空宇航科学与技术081100 控制科学与工程招生计划：博士、硕士（含直博），有推免资格、竞赛获奖者优先考虑。已指导研究生获国家奖学金4人次，校级优秀毕业生5人次，校级优秀硕士学位论文1人次。团队已毕业学生中，多人赴航天一院、航天五院、中航611所、中航618所、中航504所、中航623所、兵器203所、中电14所、中电20所、中电53所、华为等单位工作，多人赴英国、法国、荷兰、比利时等国外世界知名高校深造读博。

科学研究

荣誉获奖 Awards Information 国家级青年人才（QB）工信部首届工信杰出青年入围者陕西青年科技标兵陕西青年科技奖陕西省高层次人才引进计划特聘专家陕西省青年科技新星西北工业大学翱翔青年学者西北工业大学翱翔新星西北工业大学“十育人”先进个人西北工业大学优秀青年教师（吴亚军奖）西北工业大学“陈士橹飞天奖教金” 西北工业大学优秀班主任第三届中国“互联网+”大学生创新创业大赛全国铜奖（指导教师）大学生国际数学建模竞赛国际二等奖1项、三等奖2项（指导教师）陕西省高等教育教学成果二等奖陕西省自然科学优秀学术论文二等奖

学术成果

科学研究 Scientific Research 主持及参与国家级、省部级和校企联合项目共20余项，部分代表性项目包括：国家自然科学基金联合重点项目、国家重点研发计划重点专项课题、国家自然科学基金面上项目、国家自然科学基金青年项目、陕西省重点研发计划、陕西省自然科学基础研究计划等以及主持GF项目多项，参与国家自然科学基金(重大、重点)项目、国家重点研发计划、GF重点项目多项

综合介绍

学术成果 Academic Achievements 以下代表性论文代码已公开，欢迎下载对比，相关文献引用格式如下。代码详见：Source Code[1]      Wang J, Wang H, Nie F, et al. Ratio Sum Versus Sum Ratio for Linear Discriminant Analysis[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022, 44(12), pp. 10171-10185. (中科院1区Top，IF=24.314，人工智能领域顶刊)[2]      Wang J, Ma Z, Nie F, et al. Progressive Self-Supervised Clustering with Novel Category Discovery[J]. IEEE Transactions on Cybernetics (T-CYB), 2022, 52(10), pp. 10393-10406. (中科院1区Top，IF=19.118)[3]      Wang J, Ma Z, Nie F, et al. Fast Self-Supervised Clustering with Anchor Graph[J]. IEEE Transactions on Neural Networks Learning System (T-NNLS), 2021. doi: 10.1109/TNNLS.2021.3056080 (中科院1区Top，IF=14.255)[4]      Wang J, Zhang G, Zhang K, et al. Detection of Small Aerial Object using Random Projection Feature with Region Clustering[J]. IEEE Transactions on Cybernetics (T-CYB), 2022, 52(5), pp. 3957-3970. (中科院1区Top，IF=19.118)[5]      Wang J, Ma Z, Nie F, et al. Entropy Regularization for Unsupervised Clustering with Adaptive Neighbors[J]. Pattern Recognition (PR), 2022, 125, 108517. (中科院1区Top，IF=8.518)[6]      Wang J, Xie F, Nie F, et al. Robust Supervised and Semi-supervised Least Squares Regression using l2,p-Norm Minimization[J]. IEEE Transactions on Neural Networks Learning System (T-NNLS), 2021. doi: 10.1109/TNNLS.2022.3150102 (中科院1区Top，IF=14.255)[7]      Wang J, Xie F, Nie F, et al. Unsupervised Adaptive Embedding for Dimensionality Reduction[J]. IEEE Transactions on Neural Networks Learning System (T-NNLS), 2022, 33(11), pp. 6844-6855. (中科院1区Top，IF=14.255)[8]     Wang J, Wang L, Nie F, et al. Fast Unsupervised Projection for Large-Scale Data[J]. IEEE Transactions on Neural Networks Learning System (T-NNLS), 2022, 33(8), pp. 3634-3644. (中科院1区Top，IF=14.255)[9]     Wang J, Wang L, Nie F, et al. A novel formulation of trace ratio linear discriminant analysis[J]. IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2022, 33(10), pp. 5568-5578. (中科院1区Top，IF=14.255)[10]    Wang J, Wang L, Nie F, et al. Joint Feature Selection and Extraction With Sparse Unsupervised Projection[J]. IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2021, doi: 10.1109/TNNLS.2021.3111714. (中科院1区Top，IF=14.255)[11]   Wang J, Wang H, Nie F, et al. Sparse Feature Selection via Fast Embedding Spectral Analysis[J]. Pattern Recognition (PR), 2023 (中科院1区Top，IF=8.518)近年来代表性论文：[1]     Wu Y, Zhang K, Wang J*, et al. GCWNet: A Global Context-Weaving Network for Object Detection in Remote Sensing Images[J]. IEEE Transactions on Geoscience and Remote Sensing (T-GRS), 2022. doi: 10.1109/TGRS.2022.3155899 (中科院2区Top，IF=5.6)[2]     Wang J, Ma Z, Nie F, et al. Entropy Regularization for Unsupervised Clustering with Adaptive Neighbors[J]. Pattern Recognition (PR), 2022. doi: 10.1016/j.patcog.2021.108517 (中科院1区Top，IF=7.740)[3]     Wang J, Wang H, Nie F, et al. Ratio Sum Versus Sum Ratio for Linear Discriminant Analysis[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2021. doi: 10.1109/ TPAMI. 2021. 3133351 (中科院1区Top，IF=16.389，人工智能领域顶刊)[4]     Wang J, Wang H, Ma Z, et al. Unsupervised Hyperspectral Band Selection Based on Hypergraph Spectral Clustering[J]. IEEE Geoscience and Remote Sensing Letters (GRSL), 2021. doi: 10.1109/LGRS.2021.3115340 (中科院2区，IF=3.966)[5]     Wang J, Ma Z, Nie F, et al. Progressive Self-Supervised Clustering with Novel Category Discovery[J]. IEEE Transactions on Cybernetics (T-CYB), 2021. doi: 10.1109/TCYB.2021.3069836 (中科院1区Top，IF=11.448)[6]     Wang J, Wang L, Nie F, et al. Fast Unsupervised Projection for Large-Scale Data[J]. IEEE Transactions on Neural Networks Learning System (T-NNLS), 2021. doi: 10.1109/TNNLS.2021.3053840 (中科院1区Top，IF=10.451)[7]     Wang J, Ma Z, Nie F, et al. Fast Self-Supervised Clustering with Anchor Graph[J]. IEEE Transactions on Neural Networks Learning System (T-NNLS), 2021. doi: 10.1109/TNNLS.2021.3056080 (中科院1区Top，IF=10.451)[8]     Wang J, Wang L, Nie F, et al. A Novel Formulation of Trace Ratio Linear Discriminant Analysis [J]. IEEE Transactions on Neural Networks Learning System (T-NNLS), 2021. doi: 10.1109/TNNLS.2021.3071030 (中科院1区Top，IF=10.451)[9]     Wang J, Wang L, Nie F, et al. Joint Feature Selection and Extraction with Sparse Unsupervised Projection [J]. IEEE Transactions on Neural Networks Learning System (T-NNLS), 2021. doi: 10.1109/TNNLS.2021.3111714 (中科院1区Top，IF=10.451)[10]  Wang J, Xie F, Nie F, et al. Unsupervised Adaptive Embedding for Dimensionality Reduction[J]. IEEE Transactions on Neural Networks Learning System (T-NNLS), 2021. doi: 10.1109/TNNLS.2021.3083695 (中科院1区Top，IF=10.451)[11]  Wang J, Zhao Y, Zhang K, et al. Spatio-Temporal Online Matrix Factorization for Multi-scale Moving Objects Detection[J]. IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2021. doi: 10.1109/TCSVT.2021.3066675 (中科院1区Top，IF=4.685)[12]  Wang J, Huang P, Zhang K, et al. Hyperspectral Anomaly Detection via S1/2 Regularized Low Rank Representation[J]. IEEE Geoscience and Remote Sensing Letters (GRSL), 2021. doi: 10.1109/LGRS.2021.3063252 (中科院2区，IF=3.966)[13]  Wang J, Huang P, Zhang K, et al. Hyperspectral Anomaly Detection via S1/2 and Total Variation Low Rank Matrix Decomposition [J]. IEEE Geoscience and Remote Sensing Letters (GRSL), 2021. doi: 10.1109/LGRS.2021. 3096720 (中科院2区，IF=3.966)[14]  Wang W, Zhang K, Lv M, et al. Hierarchical Spatiotemporal Context-Aware Correlation Filters for Visual Tracking[J]. IEEE Transactions on Cybernetics (T-CYB), 2021, doi: 10.1109/TCYB.2020.2964757 (中科院1区Top，IF=11.448)[15]  Li Y, Zhang K, Wang J*, et al. Real-Time Video Emotion Recognition based on Reinforcement Learning and Domain Knowledge[J]. IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2021. doi: 10.1109/TCSVT.2021.3072412 (中科院1区Top，IF=4.685)[16]  Zhang K, Wang W, Wang J*, et al. Learning Adaptive Target-and-surrounding Soft Mask for Correlation Filter Based Visual Tracking[J]. IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2021. (中科院1区Top，IF=4.685)[17]  Wang W, Zhang K, Lv M, Wang J. Discriminative visual tracking via spatially smooth and steep correlation filters[J]. Information Sciences (Inf. Sci.), 2021, 578. (中科院1区Top，IF=6.795)[18]  Wu Y, Zhang K, Wang J*, et al. Semantic Context-Aware Network for Multi-Scale Object Detection in Remote Sensing Images[J]. IEEE Geoscience and Remote Sensing Letters (GRSL), 2021. doi: 10.1109/LGRS.2021.3067313 (中科院2区，IF=3.966)[19]  Zhang Ke, Li Y, Wang J, et al. Feature Fusion for Multimodal Emotion Recognition based on Deep Canonical Correlation Analysis[J]. IEEE Signal Processing Letters (SPL), 2021. doi: 10.1109/LSP.2021.3112314 (中科院2区，IF=3.109)[20]  Zhang Y, Zhang K, Wang J, et al. Robust Acoustic Event Recognition using AVMD-PWVD Time-Frequency Image[J]. Applied Acoustics, 2021, 178(5):107970[21]  Wang J, Zhang G, Zhang K, et al. Detection of Small Aerial Object using Random Projection Feature with Region Clustering[J]. IEEE Transactions on Cybernetics (T-CYB), 2020. doi: 10.1109/TCYB.2020.3018120 (中科院1区Top，IF=11.448)[22]  Wang J, Wang Y, Wu Y, et al. FRPNet: A Feature-Reflowing Pyramid Network for Object Detection of Remote Sensing Images[J]. IEEE Geoscience and Remote Sensing Letters (GRSL), 2020. doi: 10.1109/LGRS.2020.3040308 (中科院2区，IF=3.966)代表性专利：[1]      一种基于有向带权图的低空运动目标搜索方法，国家发明专利，ZL201711369754.4，2021.6[2]      一种基于视觉显著性的图像质量评价方法，国家发明专利，ZL201810185626.2，2021.6[3]      一种基于可见光序列图像的低空运动目标检测方法，国家发明专利，ZL201710563985.2，2020.2以及其他受理国家发明专利近30项