金军委，男，1989.6，博士，毕业于澳门大学，计算机科学专业，河南工业大学副教授，担任中国人工智能学会青年工作委员会委员，国际期刊Interdisciplinary Sciences: Computational Life Sciences编委。主要从事与人工智能、模式识别和宽度学习系统等相关的理论和应用研究工作。现主持国家自科基金1项，参与国家自科基金1项，主持省科技厅科技攻关1项，教育厅高等学校重点科研1项，粮食信息处理与控制教育部重点实验室开放课题2项，郑州市科技局协同创新专项1项，河南省博士后项目1项，校青年骨干教师培训计划1项，参与结项省科技厅科技攻关3项；在IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Knowledge and Data Engineering、Pattern Recognition、Information Sciences和Knowledge-based Systems等人工智能国内外顶级期刊和会议上发表系列论文30余篇，谷歌学术总引用460余次，以主编身份出版专著教材一部，发行量达7000册，申请/授权国家发明专利15项，软件著作权2件。
联系邮箱：jinjunwei24@163.com
招生学科：计算机科学技术、电子信息、智能科学与技术。
一、代表性论文与论著
1) Junwei Jin, Biao Geng, Yanting Li*, Jing Liang, Yang Xiao, C. L. Philip Chen*, “Flexible Label-Induced Manifold Broad Learning System for Multiclass Recognition”, IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/ TNNLS.2023.3291793, 2023 (SCI, 中科院1区, JCR Q1, Top, IF: 10.4).
2) Junwei Jin, Yanting Li, C. L. Philip Chen*, “Pattern Classification with Corrupted Labeling via Robust Broad Learning System”, IEEE Transactions on Knowledge and Data Engineering, 34(10):4959-4971, 2022(SCI, 中科院1区, JCR Q1. CCF-A, IF:9.235).
3) Junwei Jin, Zhenhao Qin, Dengxiu Yu, Yanting Li*, Jing Liang, C. L. Philip Chen*, “Regularized Discriminative Broad Learning System for Image Classification”, Knowledge-Based Systems, 251: 109306, 2022 (SCI, 中科院1区, JCR Q1, Top, IF: 8.139).
4) Junwei Jin, Yanting Li, Tiejun Yang, Liang Zhao, Junwei Duan*, C. L. Philip Chen*, “Discriminative Group-Sparsity Constrained Broad Learning System for Visual Recognition”, Information Sciences, 576: 800-818, 2021(SCI, 中科院1区， JCR Q1, Top, IF:8.1).
5) Junwei Jin, Zhulin Liu, C. L. Philip Chen*, “Discriminative Graph Regularized Broad Learning System for Image Recognition”, Science China Information Sciences, 61(11): 112209, 2018 (SCI，中科院2区，JCR Q1, CCF-A , IF:8.8).
6) Junwei Jin, C. L. Philip Chen*, “Regularized Robust Broad Learning System for Uncertain Data Modeling”, Neurocomputing, 322: 58-69, 2018 (SCI，中科院2区，JCR Q1, Top, IF:6.0).
7) Junwei Jin, Yanting Li*, Lijun Sun*, Jianyu Miao, C. L. Philip Chen, “A New Local Knowledge-Based Collaborative Representation for Image Recognition”, IEEE Access, 8: 81069–81079, 2020 (SCI，中科院2区，JCR Q1, IF:3.9).
8) Junwei Jin, Zhenhao Qin, Dengxiu Yu, Tiejun Yang, C. L. Philip Chen, Yanting Li*, “Relaxed Least Square Regression with L2,1-norm for Pattern Classification”, International Journal of Wavelets Multiresolution and Information Processing, DOI: 10.1142/S021969132350025X, 2023 (SCI, 中科院4区，JCR Q2, IF:1.4).
9) Yanting Li, Junwei Jin*, Jiangtao Ma, Fubao Zhu, Baohua Jin, Jing Liang, C. L. Philip Chen, “Imbalanced Least Squares Regression with Adaptive Weight Learning”, Information Sciences, 648: 119541, 2023(SCI, 中科院1区, JCR Q1, Top, IF:8.1).
10) Yanting Li, Junwei Jin*, Hongwei Tao, Yang Xiao, Jing Liang*, C. L. Philip Chen, “Complemented Subspace-Based Weighted Collaborative Representation Model for Imbalanced Learning”, Applied Soft Computing, 153: 111319, 2024 (SCI, 中科院1区, JCR Q1, Top, IF:8.7).
11) Yanting Li, Junwei Jin*, Yun Geng, Yang Xiao, Jing Liang*, C. L. Philip Chen, “Discriminative Elastic-net Broad Learning Systems for Visual Classification”, Applied Soft Computing, 155: 111445, 2024 (SCI, 中科院1区, JCR Q1, Top, IF:8.7).
12) Yanting Li, Shuai Wang, Junwei Jin*, Fubao Zhu, Liang Zhao, Jing Liang, C. L. Philip Chen, “Imbalanced Complemented Subspace Representation with Adaptive Weight Learning”, Expert Systems with Applications, 249, Part A, 123555, 2024 (SCI, 中科院1区, JCR Q1, Top, IF:8.5).
13) Yanting Li, Shuai Wang, Junwei Jin*, Hongwei Tao, Chuang Han, C. L. Philip Chen, “Hybrid Density-based Adaptive Weighted Collaborative Representation for Imbalanced Learning”, Applied Intelligence, DOI:https://doi.org/10.1007/s10489-024-05393-2, 2024(SCI, 中科院2区, JCR Q1, Top, IF:5.3).
14) Dengxiu Yu*, Qian Kang, Junwei Jin, Zheng Wang*, Xuelong Li*, “Smoothing Group L1/2 Regularized Discriminative Broad Learning System for Classification and Regression”, Pattern Recognition , 141: 109656, 2023 (SCI, 中科院1区, JCR Q1, Top, IF: 8.0).
15) Xiangxiang Su, Min Gan*, Guangyong Chen, Lin Yang, Junwei Jin, “Nonmonotone Variable Projection Algorithms for Matrix Decomposition with Missing Data”, Pattern Recognition , 148: 110150, 2024 (SCI, 中科院1区, JCR Q1, Top, IF: 8.0).
16) Yanting Li, Junwei Jin*, Liang Zhao, Huaiguang Wu, Lijun Sun, C. L. Philip Chen, “A Neighborhood Prior Constrained Collaborative Representation for Classification”, International Journal of Wavelets Multiresolution and Information Processing, 19(2): 2050073:1-2050073:22, 2021 (SCI, 中科院4区，JCR Q2, IF:1.4).
17) Yanting Li, Junwei Jin*, “A Novel Two-Dimensional Unwinding Decomposition for Image Signals”, IEEE Access, 7: 168700–168709, 2019 (SCI，中科院2区，JCR Q1, IF:3.9).
18) Yanting Li, Junwei Jin*, C. L. Philip Chen, “A real-time classification model based on joint sparse-collaborative representation”, Journal of Real-Time Image Processing, 18(5): 1837-1849, 2021 (SCI, 中科院3区，JCR Q3, IF:3).
19) Yanting Li, Shuai Wang, Junwei Jin*, Hongwei Tao, Jiaofen Nan, Huaiguang Wu, and C. L. Philip Chen, “Density-based discriminative nonnegative representation model for imbalanced classification”, Neural Processing Letters, 56:95, 2024 (SCI，中科院4区).
20) 李艳婷, 王帅, 金军委*（通讯）, 马江涛, 陈雪艳, 陈俊龙. 基于加权正则化协同表示的非均衡分类方法[J], 电子与信息学报，45(07):2571-2679, 2023 (EI期刊，北大核心).
21) 金军委、张自豪、高山、樊超、杨铁军，《人工智能导论》，北京大学出版社，2022.07.
二、主持或参加科研/教研项目（课题）
1. 主持国家自然科学基金青年项目, “判别型鲁棒宽度学习系统建模及优化研究”，No. 62106068，在研;
2. 主持河南省科技厅科技攻关项目, “基于鲁棒宽度学习系统的无人仿生集群智能分群策略研究”， No. 222102210058，在研;
3. 主持河南省教育厅自然科学项目, “基于最大后验误差估计和流形学习的鲁棒宽度学习模型及应用研究”， No. 21A520009，已结题;
4. 主持郑州市科技局协同创新专项项目，“面向含噪非均衡数据的宽度学习系统建模研究”，No. 22ZZRDZX29，在研;
三、授权专利
1. 李艳婷；金军委；吴怀广；赵亮；孙丽君，一种领域先验嵌入型协同表示模式识别方法，ZL 202010939602.9，2022.8.16
2. 李艳婷；金军委；吴怀广，一种稀疏协同联合表示模式识别方法，ZL 202011599214.7，2022.8.16.
