澳门正规赌博官方网址

陈伟杰

2017-04-23



工作部门:信息工程学院

性    别:男

技术职称:高校副教授

民    族:汉

籍    贯:浙江 温州市

办公室:2A414, 穷理楼, 浙江工业大学之江校区

E-mail:wjcper2008@163.com

电    话:0575-81112722





个人基本情况(Correspondence):

Wei-Jie Chen (陈伟杰)

Associate Professor (副教授)

(学术主页) (谷歌 Scholar)(ResearchGate)

College of Information Engineering, Zhijiang College,

OPTIMAL research group for machine learning,

Zhejiang University of Technology (ZJUT), China.

陈伟杰, 男, 1985年09月出生, 博士、浙江工业大学副教授、OPTIMAL机器智能优化团队数据分析与决策方向学术带头人. 长期从事数据挖掘与支撑向量机、机器学习模型与算法、智能计算及信息处理等研究. 近五年,主持和参与省部级以上项目9项. 其中,主持国家自然科学基金2项,浙江省自然科学基金项目1项(优秀结题),教育厅科研项目1项;核心参与人(排名前3)参加国家自然科学基金项目2项、教育部人文社科基金项目1项、浙江省自然科学基金面上项目1项等. 相关研究成果在Pattern Recogn., Inform. Sciences., Knowl-Based Syst., Neurocomputing等权威期刊上发表, 已发表学术论文35余篇, 其中SCI检索论文16篇,EI检索8篇,被引用次数超过了400次(GOOGLE学术),H指数10, 并被邀请给IEEE TNNLS, TIP, Pattern Recogn., Plos one等10余期刊和国内外会议审稿. 2016年, 浙江省自然科学基金委对其在数据挖掘领域的研究成果做了专题报道.


教育背景(Educations):
  • 2017,09-2018,08: 悉尼科技大学 (UTS), Research Centre for Artificial Intelligence (CAI), Visiting Scholar (CSC funded), Supervisor: Prof. Ivor Tsang.
  • 2015,12-2016,07: 上海外国语大学, Advanced Overseas English Training.
  • 2006.09-2011.06: 浙江工业大学 (ZJUT), 控制理论与控制工程, 硕博连读, Ph.D.
  • 2002.09-2006.06: 浙江工业大学 (ZJUT), 电气工程及其自动化, B.S.


工作经历(Experiences)
  • 2014.07-至今: 浙江工业大学, 副教授 (计算机科学与技术)。
  • 2013.07-至今: 浙江工业大学澳门网上十大赌场网址, 副教授 (计算机科学与技术)。
  • 2011.09-2013.06: 浙江工业大学, 讲师。


专业与学科(Disciplines)

  • “通信工程”专业: 主讲计算机网络,Java语言程序设计,Android智能手机应用开发,网络编程语言等课程。
  • OPTIMAL机器智能优化团队 (邓乃扬教授引导): 数据分析与决策方向学术带头人。
  • 浙江省一流学科B类(计算机科学与技术): 核心骨干成员。
  • 浙江工业大学澳门网上十大赌场网址优势学科 (计算机科学与技术): 数据融合与决策分析方向学术带头人。
  • 浙江省重点学科 (武器系统与运用工程) : 舰载武器无线制导技术及应用方向核心成员。


研究生培养(Supervise postgraduate)

OPTIMAL团队联合培养:

  • 毕业: 化翔雨(博士2016), 郭艳茹(2015), 吴和吉(2016)
  • 在读: 王晨, 裴华欣, 胡亦尧, 杨凯丽.


项目资助 (Funds and Projects)

National Natural Science Foundation of China (NSFC), 国家基金:

  • 复杂多流形半监督问题的非平行支撑向量机方法研究, Nonparallel support vector machine methods for complex multi-manifolds semi-supervised problem (No.61603338, 2017.01-2019.12, 主持, 1/6)
  • 基于结构学习的非平行支撑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)
  • 基于非平行超平面支撑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, 参与, 2/5)
  • 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, 参与, 3/7)

Zhejiang Provincial Natural Science Foundation of China, 浙江省自然基金:

  • 2016年, 浙江省自然科学基金委对其在数据挖掘领域的研究成果做了专题报道. [links]
  • 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)
  • 大规模数据的非平行支撑向量机研究, Non-parallel support vector machine for large-scale data (No. Y15F0300442015.01-2017.12, 参与, 3/7)

Ministry of Education, Humanities and Social Sciences Research Project, 教育部科研项目:

  • 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, 参与, 3/7)

Scientific Research Fund of Zhejiang Provincial Education Department, 教育厅科研项目:

  • 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.13YJC910011, 2013.05-2016.05, 主持, 1/7)

Scientific Research Fund of Zhejiang Provincial Education Department, 浙江省公益项目:

  • 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, 参与, 3/7)


学术论文 (Publications)

注:2012年-至今的学术论文, 大部分都由OPTIMAL团队成员合作完成, 以贡献率为排名的依据. 影响因子IF和分区由中科院最新分区查询系统提供 ( http://www.fenqubiao.com ).


2017和在审

  1. [A类, EI期刊] Chun-Na Li, Wei-Jie Chen, Yuan-Hai Shao. Robust Sparse Lp-norm Principal Component Analysis[J]. (In Chinese) Acta Automatica Sinica (自动化学报), 2017, 43(1): 142-151.
  2. [二区SCI, 在审] Wei-Jie Chen, Yuan-Hai Shao, Chun-Na Li. Robust L1-norm multi-weight vector projection support vector machine[J]. Applied Mathematics and Computation, Submitted.
  3. [二区SCI, 在审] Chun-Na Li, Yuan-Hai Shao, Zeng-Rong Zheng, Wei-Jie Chen, Ming-Zeng Liu. Robust recursive absolute value inequalities discriminant analysis with sparseness[J]. Neural Networks, Submitted.
  4. [二区SCI, 在审] Ming-Zeng Liu, Zhen Wang, Wei-Jie Chen, Yuan-Hai Shao. Minimum deviation distribution machine for large scale regression[J]. Knowledge-Based Systems, Submitted.
  5. [SCI, 在审] Wei-Jie Chen, Yuan-Hai Shao, Chun-Na Li. Structural nonparallel hyperplane support vector machine for classification[J]. Neurocomputing, Submitted.


2016
  1. 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. (SCI, IF:3.096)
  2. 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

2015
  1. 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. (SCI, IF:3.058, WOS:000346224900023)
  2. 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. (SCI, IF:3.643, WOS:000355050200010)

2014
  1. 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. (SCI, IF:2.005, WOS:000342248100048)
  2. 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. (SCI, IF:2.005, WOS:000342248100017)
  3. 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 (SCI, WOS:000348040100011)
  4. 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.(SCI, IF:1.875, WOS:000335656200006)
  5. 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. (SCI, IF:2.632, WOS:000336872000029)
  6. 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.(SCI, IF:3.643, WOS:000331919400002) [Code]

2013
  1. Wei-Jie Chen*, Yuan-Hai Shao, Ya-Fen Ye. Maximum margin eigenvalue proximal support vector regressor[J]. Control and Decision (In Chinese). 2013,28 (12):1817-1821. (EI JA, 20140317204002)
  2. Yuan-Hai Shao, Nai-Yang Deng*, Wei-Jie Chen. A proximal classifier with consistency[J]. Knowl-Based Syst. 2013,49:171-178. (SCI, IF:3.058, WOS:000322428100016) [Code]
  3. Wei-Jie Chen*, Quan Wang, Yuan-Hai Shao and Zhi-lin Feng. Manifold based twin parametric-margin SVM for semi-supervised classification[J]. Int. J. Comput. Inform. Systems. 2013, 9(23): 9253-9260 (EI JA, 20140517248396)
  4. Wei-Jie Chen*, Yuan-Hai Shao*, Ya-Fen Ye. Improving Lap-TSVM with successive overrelaxation and differential evolution[C]. Procedia Computer Science. 2013,17:33-40. (SCI Proceedings, WOS:000339094400006)
  5. Yuan-Hai Shao*, Wei-Jie Chen, Wen-Biao Huang, Zhi-Min Yang, Nai-Yang Deng*. The Best Separating Decision Tree Twin Support Vector Machine for Multi-Class Classification[C]. Procedia Computer Science. 2013,17:1032-1038. (SCI Proceedings, WOS:000339094400131)
  6. Wei-Jie Chen, Yuan-Hai Shao, Yi-Bo Jiang*, Chong-Pu Xia. Ensemble learning for generalised eigenvalues proximal support vector machines[J]. Int. J. Comput. Appl. Technol. 2013, 47(2/3):273-279. (EI JA, 20132516438882)
  7. Yuan-Hai Shao, Zhen Wang, Wei-Jie Chen, Nai-Yang Deng*. Least squares twin parametric-margin support vector machines for classification[J]. Appl. Intell. 2013, 39(3):451-464. (SCI, IF:1.849, WOS:000324107400001)
  8. Yuan-Hai Shao, Nai-Yang Deng*, Wei-Jie Chen. Improved generalized eigenvalue proximal support vector machine[J]. IEEE Signal Processing Letters. 2013,20(3):213-216. (SCI IF:1.388, WOS:000314723300002)
  9. Ya-Fen Ye*, Yuan-Hai Shao, Wei-Jie Chen. Comparing inflation forecasts using an e-wavelet twin support vector regression[J]. J. Inf. Comput. Sci. 2013,10(7):2041-2049. (EI JA, 20132316396461)
  10. Yuan-Hai Shao, Nai-Yang Deng*, Wei-Jie Chen, Zhen Wang. A regularization for the projection twin support vector machine[J]. Knowledge-Based Systems. 2013,37: 203-210. (SCI, IF:2.41, WOS:000313761800019)
  11. Wei-Jie Chen*, Yuan-Hai Shao, Hai-Yan Wang. Successive overrelaxation for twin parametric-margin support vector machines[J]. J. Inf. Comput. Sci. 2013,10(3):791-799. (EI JA, 20131016089915)
  12. Wei-Jie Chen*, Yuan-Hai Shao, Zhi-Jun Zhu. Fast twin parametric-insensitive SVR using successive over-relaxation[J]. J. Conver. Inf. Technol. 2013,8(1): 681-690. (EI JA, 20130415927786)
2012
  1. Wei-Jie Chen*, Yuan-Hai Shao, Wei-Bing Bao. A Novel Ensemble TBSVM Classifier for Imbalanced Data classification[J]. J. Comput. Inf. Syst. 2012,8(19):8223-8230. (EI JA, 20124515645121)
  2. Yuan-Hai Shao, Nai-Yang Deng*, Zhi-Ming Yang, Wei-Jie Chen. Probabilistic outputs for twin support vector machines[J]. Knowledge-Based Systems. 2012,33:145–151. (SCI, IF:2.41, WOS:000305719900013)
  3. Yi-Bo Jiang*, Wan-Liang Wang, Wei-Jie Chen. Coverage Optimization of Occlusion-Free Surveillance for Video Sensor Networks[J]. Journal of Software (In Chinese). 2012,32(02):310-322. (EI JA, 20121014842128)

2011
  1. Wei-Jie Chen, Wan-Liang Wang*, Jian-Wei Zheng, Yi-Bo Jiang. NFL: An Adaptive Fuzzy-logic-based AQM Algorithm with Active-flow Parameter Estimation[J]. Control and Decision (In Chinese). 2011,26(12):1791-1795 1802. (EI JA, 20120214672662)
  2. Wei-Jie Chen, Wan-Liang Wang*, Yi-Bo Jiang, Jian-Wei Zheng. SABlue: A Self-tune AQM Algorithm with Acceleration Factor[J]. Journal of Electronics and Information Technology (In Chinese). 2011,33(02):479-483. (EI JA, 20111413890566)
  3. Wan-liang Wang*, Qing-Li Chen, Wei-Jie Chen, Yi-Bo Jiang. The stability of TCP/REM congestion control mechanism[J]. J. Comput. Inf. Syst. 2011,8(14):2925-2932. (EI JA, 20115214650008)
  4. Xin-Wei Yao, Wan-Liang Wang*, Wei-Jie Chen, Yan-Wei Zhao. Congestion awareness adaptive mapping mechanism oriented to remote video maintenance applications[J]. Computer Integrated Manufacturing Systems (In Chinese). 2011,17(01):216-223. (EI JA, 20111313881878)
  5. Jian-Wei Zheng, Wan-Liang Wang*, Yi-Bo Jiang, Wei-Jie Chen. Probabilistic Sparse Kernel Logistic Multi-classifier[J]. Journal of Electronics and Information Technology (In Chinese). 2011,33(07):1632-1638. (EI JA, 20113514276909)
  6. Wei-Jie Chen, Wan-Liang Wang*, Yi-Bo Jiang. PFL: Proactive Fuzzy-logic-based AQM Algorithm for Best-effort Networks[C]. IEEE CASoN 2010. Taiyuan, China, 2010,2(1):315-318. (EI, 20105213515827)
  7. Yi-Bo Jiang*, Wan-Liang Wang, Wei-Jie Chen. A Coverage Enhancement Method of Directional Sensor Network Based on Genetic Algorithm for Occlusion-Free Surveillance[C]. IEEE CASoN 2010. Taiyuan, China, 2010,2(1):311-314. (EI, 20105213515892)

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