【个人简历】
任珍文，教授，博士生导师，中国兵器装备集团五八所特聘研究员，四川省军民融合研究院数据资源中心副主任，绵阳市涪城区“涪城科技名匠”。近年来，聚焦于多模态智能计算相关的基础研究和工程应用工作，积累了丰富的经验并取得了卓有成效的研究成果。截止目前，在国际顶级会议和期刊以第一或通讯作者发表论文80余篇，包括IEEE TIP、IEEE TNNLS、IEEE TKDE、IEEE TCSVT、IEEE TCYB、IEEE TCSS、CVPR、AAAI等CCF-A类和中科院一区论文40余篇、影响因子大于10的9篇、顶级会议论文9篇；授权/受理国家发明专利10余项，软件著作权3项；主持国家自然科学基金委、中央军委科技委、国防科工局、四川省科技厅等来源纵向项目10余项；担任IEEE TPAMI、IEEE TIP、IEEE TNNLS等20余个国际期刊审稿人、《兵工自动化》等期刊的青年编委；多次受邀担任CVPR、IJCAI、AAAI、NIPS等CCF-A类国际顶级会议程序委员会（高级）委员；是中国计算机学会（CCF）的高级会员，四川省电子学会电子战专委会、CCF人工智能专委会等专委会的委员。曾获江苏省人工智能学会优秀博士论文、中国自动化学会科学技术进步奖二等奖，中国兵器装备集团科学技术进步奖一等奖与二等奖、国防科学技术进步奖二等奖与三等奖、中国图象图形学学会科学技术进步奖二等奖等9项科研奖项。
【代表性论文】
[1] Han Ling, Yinghui Sun, Quansen Sun*, Zhenwen Ren*, Learning Optical Expansion from Scale Matching[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2023.
[2] Yuan Sun, Xu Wang, Dezhong Peng*, Zhenwen Ren*, and Xiaobo Shen. Hierarchical Hashing Learning for Image Set Classification[J]. IEEE Transactions on Image Processing, 2023.
[3] Xi Wu, Zhenwen Ren*, and F.Richard Yu. Parameter-free Shifted Laplacian Reconstruction for Multiple Kernel Clustering[J]. IEEE/CAA Journal of Automatica Sinica, 2023.
[4] Xingfeng Li, Yinghui Sun*, Quansen Sun, and Zhenwen Ren*. Consensus Cluster Center Guided Latent Multi-kernel Clustering[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2023.
[5] Haoran Li, Yulan Guo*, Zhenwen Ren*, F. Richard Yu, Jiali You, and Xiaojian You. Explicit Local Coupling Global Structure Clustering [J]. IEEE Transactions on Circuits and Systems for Video Technology, 2023.
[6] Yanying Mei, Zhenwen Ren*, Bin Wu, Tao Yang, and Yanhua Shao. Multi-view Comprehensive Graph Clustering [J]. IEEE Transactions on Consumer Electronics, 2023.
[7] Jiali You, Zhenwen Ren*, F. Richard Yu, and Xiaojian You. One-stage Shifted Laplacian Refining for Multiple Kernel Clustering [J]. IEEE transactions on neural networks and learning systems, 2023.
[8] Xingfeng Li, Yinghui Sun*, Quansen Sun, and Zhenwen Ren*. Enforced Block Diagonal Graph Learning for Multi-kernel Clustering [J]. IEEE Transactions on Computational Social Systems, 2023.
[9] Zhenwen Ren, Simon X. Yang, Quansen Sun*, and Tao Wang. Consensus affinity graph learning for multiple kernel clustering[J]. IEEE Transactions on Cybernetics, 2021, 51(6): 3273-3284.
[10] Zhenwen Ren and Quansen Sun*. Simultaneous global and local graph structure preserving for multiple kernel clustering[J]. IEEE transactions on neural networks and learning systems, 2021, 32(5): 1839-1851.
[11] Zhenwen Ren, Mithun Mukherjee*, Mehdi Bennis, and Jaime Lloret. Multikernel clustering via non-negative matrix factorization tailored graph tensor over distributed networks[J]. IEEE Journal on Selected Areas in Communications, 2020, 39(7): 1946-1956.
[12] Zhenwen Ren, Mithun Mukherjee*, and Jaime Lloret. Multiple kernel driven clustering with locally consistent and selfish graph in industrial IoT[J]. IEEE Transactions on Industrial Informatics, 2020, 17(4): 2956-2963.
[13] Zhenwen Ren, Quansen Sun*, Bin Wu, Xiaoqian Zhang, and Wenzhu Yan. Learning latent low-rank and sparse embedding for robust image feature extraction[J]. IEEE Transactions on Image Processing, 2019, 29: 2094-2107.
[14] Jiali You, Zhenwen Ren*, Xiaojian You, Haoran Li, and Yuancheng Yao. Priori Anchor Labels Supervised Scalable Multi-view Bipartite Graph Clustering [C]//Proceedings of the AAAI conference on artificial intelligence. 2023.
[15] Han Ling, Quansen Sun*, Zhenwen Ren*, Yazhou Liu, Hongyuan Wang, and Zichen Wang. Scale-flow: Estimating 3D Motion from Video[C]//Proceedings of the 30th ACM International Conference on Multimedia. 2022: 6530-6538.
[16] Yuan Sun, Dezhong Peng, Haixiao Huang*, and Zhenwen Ren*. Feature and Semantic Views Consensus Hashing for Image Set Classification[C]//Proceedings of the 30th ACM International Conference on Multimedia. 2022: 2097-2105.
[17] Xingfeng Li, Quansen Sun*, Zhenwen Ren*, and Yuan Sun. Dynamic Incomplete Multi-view Imputing and Clustering[C]//Proceedings of the 30th ACM International Conference on Multimedia. 2022: 3412-3420.
[18] Jiali You, Zhenwen Ren*, Quansen Sun, Yuan Sun, and Xingfeng Li. Approximate Shifted Laplacian Reconstruction for Multiple Kernel Clustering[C]//Proceedings of the 30th ACM International Conference on Multimedia. 2022: 2862-2870.
[19] Zhenwen Ren, Quansen Sun*, and Dong Wei. Multiple kernel clustering with kernel k-means coupled graph tensor learning[C]//Proceedings of the AAAI conference on artificial intelligence. 2021, 35(11): 9411-9418.
[20] Xingfeng Li, Zhenwen Ren*, Quansen Sun*, and Zhi Xu. Auto-weighted Tensor Schatten p-Norm for Robust Multi-view Graph Clustering[J]. Pattern Recognition, 2023, 134: 109083.
[21] Xinyue Zhang, Zhenwen Ren*, and Chao Yang*. Center consistency guided multi-view embedding anchor learning for large-scale graph clustering[J]. Knowledge-Based Systems, 2023, 260: 110162.
[22] Jiao Wang, Bin Wu*, Zhenwen Ren*, and Yunhui Zhou. Multi-scale deep multi-view subspace clustering with self-weighting fusion and structure preserving[J]. Expert Systems with Applications, 2023, 213: 119031.
[23] Yanying Mei, Zhenwen Ren*, Bin Wu*, and Yanhua Shao. Multi-order Similarity Learning for Multi-view Spectral Clustering[J]. Pattern Recognition, 2022: 109264.
[24] Jiali You, Yanglei Hou, Zhenwen Ren*, Xiaojian You*, Quansen Sun, Xiabo Shen, and Yuancheng Yao. Cluster Center Consistency Guided Sampling Learning for Multiple Kernel Clustering[J]. Information Sciences, 2022.
[25] Xuemei Han, Zhenwen Ren*, Chuanyun Zou*, and Xiaojian You. Incomplete multi-view subspace clustering based on missing-sample recovering and structural information learning[J]. Expert Systems with Applications, 2022, 208: 118165.
[26] Zhenwen Ren*, Haoyun Lei, and Chao Yang. Simultaneous learning coefficient matrix and affinity graph for multiple kernel clustering[J]. Information Sciences, 2021, 547: 289-306.
[27] Xiaoqian Zhang#, Zhenwen Ren#, Huaijiang Sun*, Keqiang Bai, Xinghua Liu, and Zhigui Liu. Multiple kernel low-rank representation-based robust multi-view subspace clustering[J]. Information Sciences, 2021, 551: 324-340.
[28] Zhenwen Ren, Xingfeng Li, Mithun Mukherjee*, Yuqing Huang, Quansen Sun, and Zhen Huang. Robust multi-view graph clustering in latent energy-preserving embedding space[J]. Information Sciences, 2021, 569: 582-595.
[29] Zhenwen Ren, Haoran Li, Chao Yang, and Quansen Sun*. Multiple kernel subspace clustering with local structural graph and low-rank consensus kernel learning[J]. Knowledge-Based Systems, 2020, 188: 105040.
[30] Haoran Li, Zhenwen Ren*, Quansen Sun, and Yuqing Huang. Robust energy preserving embedding for multi-view subspace clustering[J]. Knowledge-Based Systems, 2020, 210: 106489.
[31] Chao Yang, Zhenwen Ren*, Mingna Wu, Maowei Yin, and Yuan Sun. Joint correntropy metric weighting and block diagonal regularizer for robust multiple kernel subspace clustering[J]. Information Sciences, 2019, 500: 48-66.
[32] Yanlong Wang, Zhenwen Ren*. Auto-weighted Multiple Kernel Tensor Clustering [J]. Complex & Intelligent Systems, 2023.
[33] Yong Mi, Jian Dai, Zhenwen Ren*, Xiaojian You, and Yanlong Wang. One-Stage Multi-view Clustering with Hierarchical Attributes Extraction[J]. Cognitive Computation, 2022.
[34] Yanying Mei, Zhenwen Ren*, Bin Wu, and Yanhua Shao. Robust graph-based multi-view clustering in latent embedding space[J]. International Journal of Machine Learning and Cybernetics, 2022, 13(2): 497-508.
[35] Jian Dai, Zhenwen Ren*, Jian Yang*, Hong Song, and Yunzhi Luo. Robust multi-view low-rank embedding clustering[J]. Neural Computing and Applications, 2022.
[36] Haoran Li, Zhenwen Ren*, Zongwei Zhou, Zhi Xu, and Jian Dai. Self-paced latent embedding space learning for multi-view clustering[J]. International Journal of Machine Learning and Cybernetics, 2022, 13(11): 3373-3386.
[37] Yong Mi, Zhenwen Ren*, Zhi Xu, Haoran Li, Quansen Sun, Hongxia Chen, and Jian Dai. Multi-view clustering with dual tensors[J]. Neural Computing and Applications, 2022, 34(10): 8027-8038.
[38] Jiali You, Chiyu Han, Zhenwen Ren*, Haoran Li, and Xiaojian You*. Clustering via multiple kernel k-means coupled graph and enhanced tensor learning[J]. Applied Intelligence, 2022.
[39] Yong Mi, Zhenwen Ren*, Yuqing Huang, and Quansen Sun. Diversity and consistency embedding learning for multi-view subspace clustering[J]. Applied Intelligence, 2021, 51(10): 6771-6784.
[40] Xingfeng Li, Zhenwen Ren*, Haoyun Lei, Quansen Sun, and Yuqing Huang. Multiple kernel clustering with pure graph learning scheme[J]. Neurocomputing, 2021, 424: 215-225.
[41] Jian Dai, Zhenwen Ren*, Yunzhi Luo, Hong Song, and Jian Yang*. Multi-view Clustering with Latent Low-rank Proxy Graph Learning[J]. Cognitive Computation, 2021, 13(4): 1049-1060.
[42] Yuan Sun, Zhenwen Ren*, Chao Yang*, Quansen Sun, and Yanglong Ou. Face image set classification with self-weighted latent sparse discriminative learning[J]. Neural Computing and Applications, 2020.
[43] Zhenwen Ren, Quansen Sun*, and Chao Yang. Nonnegative discriminative encoded nearest points for image set classification[J]. Neural Computing and Applications, 2020, 32(13): 9081-9092.
[44] Zhenwen Ren, Bin Wu, Xiaoqian Zhang, and Quansen Sun*. Image set classification using candidate sets selection and improved reverse training[J]. Neurocomputing, 2019, 341: 60-69.
[45] Zhenwen Ren, Bin Wu, Quansen Sun*, and Mingna Wu. Simultaneous learning of reduced prototypes and local metric for image set classification[J]. Expert Systems with Applications, 2019, 134: 102-111.
【代表性项目】
1. ×××智能修正技术，军委装备发展部，2023。
2. 基于混合现实的增强显示与交互系统，绵阳市科技局中央引导地方科技发展资金项目，2023。
3. ×××关键技术研究，中央军委科技委173项目，2022。
4. 知识驱动的多核图聚类理论及算法研究，国家自然科学基金青年基金项目，2022。
5. 复杂环境目标识别关键技术研究，四川省科技厅应用基础研究项目，2021。
6. 金属增减材复合制造智能装备研制及应用，四川省重大科技专项项目，2020。
7. 放射性污染一体化复合监测仪研发，四川省重大科技专项项目，2020。
8. 多视图图学习算法研究，重庆市科委自然科学基金面上项目，2020。
9. 类脑无监督多模态表征学习研究，光明实验室开放课题，2022。
10. 类脑无监督多模态图学习关键技术研究，嵩山实验室预研项目，2022。
11. 核电站冷源致灾物识别算法与系统研究，自然资源部第三海洋研究所，2022。
12. 风洞天平校准系统研制，中国空气动力研究与发展中心，2022。
13. ×××技术，国家国防科技工业局项目，2019。
14. 制造设备故障在线诊断技术再研发，四川省国防科技工业办公室项目，2019。
【成果获奖】
1. 成果获奖，沉浸式模拟对抗训练关键技术及应用，中国自动化学会科技进步奖，2023年，省部级二等奖。
2. 成果获奖，×××处理关键技术及应用，国防科学技术进步奖，2023年，省部级三等奖。
3. 成果获奖，×××处理关键技术，中国兵器装备集团科技进步奖，2023年，省部级二等奖。
4. 成果获奖，×××瞄准训练技术及装备，国防科学技术进步奖，2022年，省部级二等奖。
5. 成果获奖，×××装备，中国兵器装备集团，2022年，省部级一等奖。
6. 成果获奖，对抗环境下多模态虚实交互技术及应用，中国图象图形学学会科技进步奖，2022年，省部级二等奖。
7. 成果获奖，×××终端关键技术研究及应用，中国兵器装备集团，2021年，省部级二等奖。
8. 其他获奖，优秀博士学位论文，江苏省人工智能学会，2021年。
【工作荣誉】
1. 十佳岗位青年，大阳城集团娱乐游戏，2022年。
2. 优秀教师，大阳城集团娱乐游戏，2022年。
3. 优秀共产党员，大阳城集团娱乐游戏，2023年。
4. 涪城科技名匠，绵阳市涪城区，2023年。
【主讲课程】
1. 《程序设计基础A（C语言）》 本科生课程 32学时。
2. 《数据结构》本科生课程32学时。
【联系方式】
通讯地址：四川省绵阳市大阳城集团娱乐游戏东6A606
电子邮箱：rzw@njust.edu.cn