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个人简介

於跃成,男,江苏丹徒人,1971.12生,博士,副教授。2005年3月至今任教于江苏科技大学电信学院和计算机科学与工程学院基础教学部,其中2007年4月就读于南京航空航天大学计算机科学与技术学院计算机应用专业,获博士学位。主要研究方向为机器学习、数据挖掘和模式识别,已发表学术论文15余篇,其中SCI、EI收录13篇,核心2篇。

研究领域

机器学习、数据挖掘、模式识别

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

[1] 於跃成, 刘彩生, 生佳根. 分布式约束一致高斯混合模型 [J]. 南京理工大学学报(自然科学版), 2013, 37 (6): 799-806 [2] 於跃成, 王建东, 郑关胜等. 基于约束信息的并行k-means 算法 [J]. 东南大学学报 (自然科学版), 2011, 41(3): 505-508 [3] Yu Y C, Wang J D, Zheng G S et al. Distributed K-means based on soft constraints [J]. Journal of Software Engineering, 2011, (5)4: 116-126 [4] 於跃成, 生佳根. 基于混合高斯模型的增量式聚类 [J]. 江苏科技大学学报(自然科学版), 2011, 25(6): 597-601 [5] Yu Yuecheng , Wang Jiandong, Zheng Guansheng, et al. A modified parallel k-means clustering with improved initial centers[J]. Journal of Computational Information Systems, 2010,6(12):4091-4098. [6] Yuecheng Yu, Jiandong Wang, Guansheng Zheng, Bin Gu. Semi-supervised distributed clustering with Mahalanobis distance metric learning[J]. International Journal of Digital Content Technology and its Applications, 2010,4(9):132-140 [7]Yuecheng Yu, Xiaohua Zou. Evolutionary k-means Based on Constrained Clustering[J]. ICIC Express Letters,2014,Vol.8,Issue 9:2593-2598. [8] 於跃成,生佳根,邹晓华. 基于约束正则化的生成聚类分析[J].系统工程与电子技术, 2014,Vol.36,Issue 4: 57-63. [9] Yu Yuecheng, Sheng Jiagen, Zou Xiaohua. Parameters Optimization Method of Gaussian Mixture Model with Data Evolution[J]. Transactions of Nanjin University of Aeronautics and Astronautics,2014,vol.31, No 4: 394-404. [10] Yu Yuecheng. An Extended Model of the Cellular Automata[C]. In Proceedings of International Colloquium on Computing, Communication, Control, and Management(CCCM 2009). Sanya, China: IEEE Computer Society, 2009: pp.66-69. [11]Yu Yuecheng. A Model for Predicting Flight Delay and Delay Propagation Based on Parallel Cellular Automata[C]. International Colloquium on Computing, Communication, Control, and Management. CCCM 2009, Sanya, China, 2009:70-73. [12]Bin Gu, Jian-Dong Wang, Guan-Sheng Zheng, Yue-Cheng Yu. Regularization Path for ν-Support Vector Classification[J]. IEEE Transactions on Neural Networks and Learning Systems, 23(5): 800-811,2012. [13]Bin Gu, Jian-Dong Wang, Yue-Cheng Yu, Guan-Sheng Zheng, Yu-Fan Huang, and Tao Xu. Accurate on-line ν-support vector learning[J]. Neural Networks, 27(0):51–59, 2012. [14]Bin Gu, Jian-Dong Wang, Yue-Cheng Yu, Guan-Sheng Zheng, Li-Na Wang. An Effective Regularization Path for nu-Support Vector Classification[C]. The International Conference on Intelligent Information Technology Application (IITA 2009)), 2009:90-93. [15]ZHENG Guansheng, WANG Jiandong, YU Yuecheng, GU Bin. A Survey on Algorithms of Incremental Non-Negative Matrix Factorization[J]. Journal of Computational Information Systems, (6)12, 2010: 3867-3874.

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