陈伟杰

陈伟杰，中共党员，博士，硕士生导师。OPTIMAL机器智能与优化团队数据科学方向带头人，入选浙江省高校中青年学科带头人和浙江省高校领军青年人才。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1800+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。授权国家发明专利8项，软件著作权20余项。先后多次荣获校级先进教师、校级优秀班主任等荣誉称号。

指导学生参加多个课外科技竞赛，荣获全国挑战杯“人工智能”专项赛国一1项和国三1项；浙江省挑战杯“人工智能”专项赛省金1项和省银1项；全国人工智能应用创新大赛国二1项、省一1项、省二2项；浙江省大学生人工智能竞赛省一1项和省三1项；大学生金融创新大赛省金1项、省铜3项；多项国家二等、浙江省二、三等奖。

招收有理工科基础的研究生，欢迎有数据挖掘、机器学习基础、数学建模、学科竞赛经历的同学。研究方向为人工智能算法与金融交叉方向。课题对数学基础和科研投入程度要求较高，欢迎真正有兴趣、有耐心、愿意沉下心做研究和学技术的同学加入。混学位勿扰！

授权国家发明专利：

1. 一种基于注意力机制的多场景自适应行人轨迹预测方法，ZL202411445467.7，授权日2025年11月28日

2. 一种基于时空融合的自适应行人轨迹预测方法，ZL202411965570.4，授权日2025年11月28日

3. 基于半监督深度非平行支持向量机的智能医疗诊断方法和装置，ZL202410967070.8，授权日2025年10月24日

4. 基于分位数加权稳健支持向量机的姿势估计方法，ZL 202211676442.9，授权日2025年07月18日

5. 基于局部直觉模糊支持向量机的异常行为识别方法，ZL202211317205.3，授权日2025年08月26日

6. 基于鲁棒多投影支持向量机的医学图像处理方法，ZL202110575883.9，授权日2022年11月25日

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. Jiang, Y.-B., Tao, D.-Y., Chen, W.-J. (通信), Xu, F.-R., 2026. Dual-branch distance-aware neural solver for cross-distribution vehicle routing problems. Neurocomputing 679, 133239. https://doi.org/10.1016/j.neucom.2026.133239 (SCI JCR Q1区)
2. Jiang, Y.-B., Zhou, K., Chen, W.-J (通信). Transferable self-attention recurrent network for pedestrian trajectory prediction. Applied Soft Computing. 2026. 189, 114503.  https://doi.org/10.1016/j.asoc.2025.114503. (SCI JCR Q1区)
3. Li, C., Yin, J., Shao, Y., Pan, Y., Chen, W., Song, Y., Tsang, I.W., 2026. L0-Norm Penalty Embedded Feature Selection in Universum Learning. IEEE Transactions on Artificial Intelligence 1, 1–11. https://doi.org/10.1109/TAI.2026.3650896. 
4. Li, C., Pan, Y., Chen, W., Tsang, I.W., Shao, Y., 2025. Group feature selection using non-class data. Mach Learn 114, 138. https://doi.org/10.1007/s10994-025-06773-6 (SCI JCR Q3区, A*)

5. Ya-Fen Ye, Jie Wang, Wei-Jie Chen (通信). Nonlinear feature selection for support vector quantile regression. Neural Networks. 2025, 185: 107136. (中科院一区SCI，JCR Q1区，IF:6.0)

6. Ya-Fen Ye, Chen-Xuan Wang, Jia-Sen Tian, Wei-Jie Chen (通信). L1-norm twin support vector quantile regression. Applied Soft Computing. 2025, 169: 112580. (中科院一区SCI，JCR Q1区，IF: 7.2)

7. 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)

8.  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)

9. 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)

10. 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)

11. 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)

12. 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)

13. 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)

14. 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)

15. 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)

16. 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)

17. 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)

18. 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)

19. 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)

20. 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)

21. 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)

22. 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)

23. 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)

24. 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)

25. [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)

26. 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)

27. 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)

28. 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)

29. 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)

30. 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)

31. 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)

32. 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》