陈伟杰

陈伟杰，中共党员，博士，教授，浙江工业大学硕士生导师。OPTIMAL机器智能与优化团队数据科学方向带头人，浙江省高校中青年学科带头人，首批浙江省高校领军5246青年优秀人才。

长期从事数据科学与机器学习方向前沿课题研究。共主持国家自然科学基金2项，省自然科学基金2项，核心成员(前3)参与国家级项目5项。在国内外学术期刊中发表学术论文60余篇，其中20篇被中科院2区SCI收录。Google学术引用1500+次，H指数18，H10指数32。2016年，浙江省自然科学基金委对其所在领域的研究成果做了专题报道。

先后多次荣获校级先进教师、校级优秀班主任、校级“事业家庭兼顾型”先进个人等荣誉称号。指导学生课外科技竞赛，荣获多项国家二等、浙江省二、三等奖。

相关研究成果在《J INNOV KNOWL》《APPL SOFT COMPUT》、《NEUROCOMPUTING》、《KNOWL-BASED SYST》、《IEEE TNNLS》、《Neural Networks》、《Inform. Sciences.》等国际和国内学术权威期刊上发表SCI、EI、A类论文60余篇，以下为近年来发表的主要学术论文，分区参考中科院SCI期刊分区和JCR分区。

[1]     Weijie Chen, Jie Wang, Yafen Ye Financial technology as a heterogeneous driver of carbon emission reduction in China: Evidence from a novel sparse quantile regression. Journal of Innovation & Knowledge. 2024, 9(2): 100476. (中科院一区SSCI，JCR Q1区，IF:18.1)

[2]     Y Ye, Z Xu, J Zhang, Weijie Chen, Y Shao. Twin support vector quantile regression. Expert Systems with Applications 237:121239. (中科院二区SCI，JCR Q1区，IF:8.3)

[3]     J Liu, LW Huang, YH Shao, WJ Chen, CN Li. A nonlinear kernel SVM classifier via L0/1 soft-margin loss with classification performance. Journal of Computational and Applied Mathematics. 437:115471. (中科院二区SCI，JCR Q1区，IF:2.4)

[4]     Yafen Ye, Zhihu Xu, Weijie Chen*(通信). The heterogeneous effect of financial technology on green total factor productivity in China. Journal of Innovation & Knowledge. 2023, 31: 100390. (中科院一区SSCI，JCR Q1区，IF:18.1)

[5]     Y Pan, IW Tsang, W Chen, G Niu, M Sugiyama. Fast and robust rank aggregation against model misspecification. Journal of Machine Learning Research 23 (23), 1-35. (机器学习领域顶刊，中科院三区SCI，JCR Q1区，IF:8.0)

[6]     CN Li, YH Shao, WJ Chen, Z Wang, NY Deng. Generalized two-dimensional linear discriminant analysis with regularization. Neural Networks 142, 73-91. (中科院二区SCI，JCR Q1区，IF:8.4)

[7]     Wei-Jie Chen, Yuan-Hai Shao, Chun-Na Li, Yu-Qing Wang, Ming-Zeng Liu, Zhen Wang. NPrSVM: Nonparallel sparse projection support vector machine with efficient algorithm. Applied Soft Computing. 2020, 90: 106142. (中科院二区SCI，JCR Q1区，IF:5.472)

[8]     Wei-Jie Chen, Yuan-Hai Shao, Chun-Na Li, Ming-Zeng Liu, Zhen Wang, Nai-Yang Deng. ν-projection twin support vector machine for pattern classification. Neurocomputing.. 2020, 376: 10-24. (中科院二区SCI，JCR Q1区，IF:4.438)

[9]     Chai Jing, Ivor Tsang, Wei-Jie Chen. Large Margin Partial Label Machine. IEEE Transactions on Neural Networks and Learning Systems . 2020, 31(7): 2594 - 2608. (中科院一区SCI，JCR Q1区，IF:11.683)

[10]  Wei-Jie Chen, Chun-Na Li, Yuan-Hai Shao, Ju Zhang, Nai-Yang Deng. 2DRLPP: Robust two-dimensional locality preserving projection with regularization. Knowledge-Based Syst.. 2019, 169: 53–66. (中科院二区SCI，JCR Q1区，IF:5.921)

[11]  Wei-Jie Chen, Kai-Li Yang, Yuan-Hai Shao, Yu-Juan Chen, Ju Zhang, Jing-Jing Yao. Regularized Robust Nonparallel Proximal Support Vector Machine for Noisy Classification. IEEE Access. 2019, 7: 47171–47184. (中科院二区SCI，JCR Q1区，IF:4.098)

[12]  Tao Zheng, Wei-Jie Chen, Ivor Tsang, and Xin Yao, Rectified Encoder Network for High-Dimensional Imbalanced Learning. Proc. in Pacific Rim International Conference on Artificial Intelligence (PRICAI 2019) . 2019, 684–697. (CCF C类会议，EI会议)

[13]  Wei-Jie Chen, Chun-Na Li, Yuan-Hai Shao, Nai-Yang Deng. Robust L1-norm multi-weight vector projection support vector machine with efficient algorithm. Neurocomputing. 2018, 315: 345-361. (中科院二区SCI，JCR Q1区，IF:4.438)

[14]  Ming-Zeng Liu, Yuan-Hai Shao, Zhen Wang, Chun-Na Li, Wei-Jie Chen. Minimum deviation distribution machine for large scale regression. Knowledge-Based Systems. 2018, 146: 167-180. (中科院二区SCI，JCR Q1区，IF:5.921)

[15]  邵元海，杨凯丽，刘明增，王震, 李春娜，陈伟杰. 从支持向量机到非平行支持向量机.运筹学学报. 2018, 22(2): 55-65. (A类)

[16]  Chun-Na Li, Zeng-Rong Zheng, Ming-Zeng Liu, Yuan-Hai Shao, Wei-Jie Chen. Robust recursive absolute value inequalities discriminant analysis with sparseness. Neural Networks. 2017, 93：205-218. (中科院二区SCI，JCR Q1区，IF:5.535)

[17]  Wei-Jie Chen,Yuan-Hai Shao, Chun-Na Li, Nai-Yang Deng*. MLTSVM: A novel twin support vector machine to multi-label learning[J]. Pattern Recogn. 2016, 52: 61-74. (中科院二区SCI，JCR Q1区，IF:7.196)

[18]  Wei-Jie Chen*, Chun-Na Li,Yuan-Hai Shao, Nai-Yang Deng. Semi-supervised projection twin support vector machine via manifold regularization[J]. (In Chinese) Pattern Recogn. & Artif. Intell. 28(2), pp 97-107  (A类)

[19]  Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Chun-Na Li, Nai-Yang Deng*. Weighted linear loss twin support vector machine for large-scale classification[J]. Knowl-Based Syst. 2015, 73:276–288. (中科院二区SCI，JCR Q1区，IF:5.921)

[20]  Yuan-Hai Shao, Wei-Jie Chen, Ming-Zeng Liu, Deng, Nai-Yang*. Laplacian unit-hyperplane learning from positive and unlabeled examples[J]. Inform. Sciences. 2015, 314: 152-168. (中科院一区SCI，JCR Q1区，IF:5.910)

[21]  Wei-Jie Chen*, Yuan-Hai Shao*, Nai-Yang Deng. Laplacian least squares twin support vector machine for semi-supervised classification[J]. Neurocomputing. 2014, 145:465-476. (中科院二区SCI，JCR Q1区，IF:4.438)

[22]  Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Hai-Bin Zhang, Nai-Yang Deng*. A proximal classifier with positive and negative local regions[J]. Neurocomputing. 2014, 145:131-139. (中科院二区SCI，JCR Q1区，IF:4.438)

[23]  Wei-Jie Chen*, Yuan-Hai Shao, Ning Hong. Laplacian smooth twin support vector machine for semi-supervised classification[J]. Int. J. Mach. Learn. Cyber. 2014,5(3):459–468 (中科院二区SCI，JCR Q1区，IF:3.753)

[24]  Wei-Jie Chen*, Yuan-Hai Shao, Deng-Ke Xu and Yong-Feng Fu. Manifold proximal support vector machine for semi-supervised classification[J]. Appl. Intell. 2014,40(4):623-638.(中科院三区SCI，JCR Q1区，IF:3.325)

[25]  Yuan-Hai Shao, Wei-Jie Chen, Jing-Jing Zhang, Zhen Wang and Nai-Yang Deng*. An efficient weighted Lagrangian twin support vector machine for imbalanced data classification[J]. Pattern Recogn. 2014,47(9):3158-3167. (中科院二区SCI，JCR Q1区，IF:7.196)

[26]  Yuan-Hai Shao, Wei-Jie Chen and Nai-Yang Deng*. Nonparallel hyperplane support vector machine for binary classification problems[J]. Inform. Sciences. 2014,263:22-35.(中科院一区SCI，JCR Q1区，IF:5.910)

National Natural Science Foundation of China (NSFC), 国家自然科学基金:

1. 完全统计学习的小数据支持向量机，Complete statistical theory of learning based small data SVM (No.12271131, 2023.01-2026.12, 2/7)

2. 噪声数据的非凸损失函数支持向量机最优化模型与算法研 究 ，Optimization models and algorithms of non-convex loss support vector machine for noise data (No.11871183, 2019.01-2022.12, 2/7)

3. 面向高维数据的稀疏与鲁棒线性判别分析模型与算法研究, Research on models and algorithms of sparse and robust linear discriminant analysis for high dimensional data(No.61703370, 2018.01-2020.12, 2/7)

4. 复杂多流形半监督问题的非平行支持向量机方法研究, Nonparallel support vector machine methods for complex multi-manifolds semi-supervised problem (No.61603338, 2017.01-2019.12, 主持, 1/6)

5. 基于结构学习的非平行支持向量机最优化方法研究, Optimization models for non-parallel hyperplanes support vector machines via structural regularization (No.11426202, 2015.01-2015.12, 主持, 1/4)

6. 基于非平行超平面支持向量机的最优化模型及算法研究, Optimization models and algorithms for non-parallel hyperplanes-based support vector machines (No.11201426，2013.01-2015.12, 2/5)

7. 芳烃异构化反应系统动态建模及性能评估研究, Dynamic modeling and performance evaluation of aromatics isomerization reaction system (No.61304125, 2014.01-2016.12, 3/7)

8. 移动自组织网络中实时流媒体传输的控制与调度协同方法 (No.61070043, 2011.01-2012.12, 6/10)

9. 网络控制系统智能调度与控制协同方法及其仿真平台研究 (No.60573123, 2006.01-2008.12, 7/10)

Zhejiang Provincial Natural Science Foundation of China (ZJNSF), 浙江省自然科学基金:

1. 面向不确定性数据的稳健学习模型与算法研究，Robust Learning Models and Algorithms for Uncertain Data (No.LY21F030013, 2021.01-2023.12, 主持,1/7)

2. 基于最大间隔和结构信息的非平行超平面 SVM 模型及算法研究, Maximum margin and structural information based non-parallel hyperplanes support vector machines (No.LQ13F030010, 2013.01-2015.12, 主持,1/7, 优秀结题)

3. 大规模数据的非平行支持向量机研究, Non-parallel support vector machine for large-scale data (No. Y15F030044, 2015.01-2017.12, 3/7)

4. 基于群智能的移动传感网中流媒体传输优化及其局部协同策略研究 (No. Y1100611, 2011.01-2012.12, 5/10)

Ministry of Education, Humanities and SocialSciences Research Project, 教育部人文社科研究项目:

1. 中国通货膨胀影响因素动态传导路径识别：基于FCI指数和SVM的研究, China financial index and interest rate study based on support vector regression machine (No.13YJC910011, 2013.05-2016.05, 3/7)

Scientific Research Fund of Zhejiang Provincial Education Department, 浙江省教育厅科学研究基金:

1. 基于仿生进化的Twin SVM最优化模型及在蛋白质识别中的应用, Optimization models for twin support vector machine and its applications (No.Y201225179, 2012.10-2014.06, 主持,1/7)

Scientific Research Fund of Zhejiang Provincial Education Department, 浙江省公益技术应用研究计划项目:

1. 喷墨印花织物的动态纹理缺陷检测系统研究与开发 (No.2015C31088, 2015.01-2016.12, 主持,3/7)

本科：《数据挖掘》、《数据分析及应用》、《大数据及Python应用》、《文本分析与Python应用》

研究生：《金融数据挖掘》