个人简介
任珍文，博士，教授，中国兵器装备集团自动化研究所有限公司特聘研究员，四川省军民融合研究院数据资源中心副主任，国防学院教工第一支部书记,IEEE、CCF、SCAI、JSAI、CSIG等学会的会员或委员。聚焦于军工智能专业方向，开展军工智能自主可控核心关键技术突破等理论和工程应用研究工作。近年来，在人工智能领域的国际顶级会议和期刊以第一或通讯作者发表论文60余篇，包括IEEE TIP、IEEE TNNLS、AAAI、Multimedia等CCF-A类和中科院JCR1区论文30余篇、影响因子大于10的6篇；授权/受理国家发明专利10余项，软件著作权2项；主持国家自然科学基金、中央军委科技委基础加强计划、四川省科技厅重大科技专项等纵向项目10余项，主研国家国防科工局基础科研/强基工程/专项、军委装发、军事电子预先研究、军用技术再研发、科技部科技支撑计划等项目30余项；担任《兵工自动化》青年编委，中国兵器装备58所、中国空气动力研究与发展中心、自然科学基金委的项目评审专家；担任IEEE TPAMI、IEEE TIP、IEEE TNNLS、IEEE TCYB等20余个国际顶级期刊审稿人。多次受邀担任CVPR、IJCAI、AAAI、NIPS等CCF A类会议程序委员会（高级）委员。曾获江苏省人工智能学会优秀博士论文、中国兵器装备集团科学技术进步奖一等奖与二等奖各1项（省部级）、国防科学技术进步奖二等奖1项（省部级）、中国图象图形学学会科学技术进步奖二等奖1项（省部级）等奖项，成果鉴定为国际先进3项。
研究领域
Image set classification: it constructs an image set consisting of multiple images, and then measures the distance between two sets.
Feature extraction and feature selection: it extracts or selects the important features of high-dimensional data for addressing the curse of dimensionality.
Multiple kernel learning: it learns an optimal consensus kernel from a candidate kernel pool.
Mult-view clustering: it integrates the supplementary and consistent information of multiple feature extractors for clustering tasks.
Multi-modal perception: it fuses the data collected from multiple sensors for environmental perception.
Hashing learning: it transforms data from original space to Hamming space for fast searching.
Deep learning: it uses deep learning for clustering and classification tasks.
近期论文
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Zhenwen Ren, Quansen Sun*. Simultaneous Global and Local Graph Structure Preserving for Multiple Kernel Clustering [J], IEEE Transactions on Neural Networks and Learnings Systems, 2020. (SCI一区TOP,影响因子11.683)
Zhenwen Ren, Simon X. Yang, Quansen Sun*,Tao Wang. Consensus Affinity Graph Learning for MultipleKernel Clustering [J], IEEE Transactions on Cybernetics, 2020.(SCI一区TOP,影响因子10.387)
Zhenwen Ren, Quansen Sun*, Bin Wu, Wenzhu Yan, Xiaoqian Zhang. Learning Latent Low-Rank and Sparse Embedding for Robust Image Feature Extraction [J], IEEE Transactions on Image Processing, 2019.(SCI一区TOP,影响因子6.79)
henwen Ren, Haoran Li, Chao Yang, Quansen Sun*. Multiple Kernel Subspace Clustering with Local Structural Graph and Low-Rank Consensus Kernel Learning [J], Knowledge-Based Systems, 2019. (SCI一区TOP,影响因子5.101)
Chao Yang, Zhenwen Ren*, Quansen Sun, Maowei Yin, Mingna Wu, Yuan Sun. Joint Correntropy Metric Weighting and Block Diagonal Regularizer for Robust Multiple Kernel Subspace Clustering [J], Information sciences, 2019. (SCI一区TOP,影响因子5.524)
Zhenwen Ren, Haoyun Lei, Quansen Sun, Chaoyang*,Simultaneous Learning Coefficient Matrix and Affinity Graph for Multiple Kernel Clustering[J], Information sciences, 2020. (SCI一区TOP,影响因子5.524)
Zhenwen Ren, Mithun Mukherjee*, Jaime Lloret. Multiple Kernel Driven Clustering with Locally Consistent and Selfish Graph in Industrial IoT [J], IEEE Transactions on Industrial Informatics, 2020. (SCI一区TOP,影响因子7.377)
Zhenwen Ren, Quansen Sun*, Bin Wu, Xiaoqian Zhang. Image Set Classification Using Candidate Sets Selection and Improved Reverse Training [J], Neurocomputing, 2018. (SCI二区TOP,影响因子4.072)
Zhenwen Ren, Bin Wu, Quansen Sun*, Xiaoqian Zhang. Simultaneous Learning of Reduced Prototypes and Local Metric for Image Set Classification [J]，Expert system with applications, 2018.(SCI二区TOP,影响因子4.292)
Zhenwen Ren*, Chao Yang, Quansen Sun*. Non-negative discriminative encoded nearest points for image set classification [J], Neural Computing and Applications, 2018. (SCI二区,影响因子4.664)
Yuan Sun, Zhenwen Ren*, Chao Yang. Latent Sparse Discriminative Learning for Face Image Set Classification [C], 2020 International Conference on Neural Computing for Advanced Applications, 2020.（会议论文）
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