期刊编委算不算学术兼职

编委不一定参与编辑工作, 可以被咨询, 编辑就参与, 称呼一般是某编辑, 对资深编辑, 也有人称老师的

担任下列专家委员会委员：　（1）中国计算机学会杰出会员、资深会员（2）中国计算机学会人工智能与模式识别专委会委员（3）中国计算机学会多值逻辑与模糊逻辑专委会常委委员（4）中国人工智能学会知识工程与分布式智能专业委员会委员（5）中国人工智能学会机器学学习专业委员会委员（6）中国人工智能学会粗糙集与软计算专业委员会常委委员（7）江苏省计算机学会人工智能专业委员会常委委员（8）江苏省计算机学会大数据专家委员会委员担任下列国际期刊编委：（1）《IJCI: International Journal of Collaborative Intelligence》主编（2）《JDCTA: Journal of Digital Contents Technology and Application》副主编（3）《JCIT: Journal of Convergence Information Technology》编委（4）《AISS: Advances in Information Sciences and Service Sciences》编委（5）《IJACT: International Journal of Advancements in Computing Technology》编委（6）《JCP: Journal of Computers》编委（7）《JSW: Journal of Software》编委（8）《IPL:CInformation Processing Letters》编委（9）《AMIS: Applied Mathematics & Information Sciences》编委担任下列国际期刊特约编辑：（1）《Applied Mathematics & Information Sciences》特约编辑(Guest Editor)（2）《INFORMATION》的特约编辑(Guest Editor)（3）《Neurocpmputing》特约编辑(Guest Editor)（4）《The Scientific World Journal》的特约编辑(Guest Editor)（5）《Mathematical Problems in Engineering》的特约编辑(Guest Editor)（6）《Journal of Computers (JCP)》特约编辑(Guest Editor)（7）《Journal of Software (JSW)》特约编辑(Guest Editor)（8）《Journal of Networks (JNW)》的特约编辑(Guest Editor)担任下列国际SCI源刊特约审稿专家：（1）《Journal of Information Science》（2）《Applied Soft Computing》（3）《Information Sciences》（4）《Computational Statistics and Data Analysis》（5）《IEEE Transactions on Fuzzy Systems》（6）《International Journal of Pattern Recognition and Artificial Intelligence》（7）《Neurocpmputing》（8）《Soft Computing》（9）《Pattern Recognition》（10）《Pattern Recognition Letters》担任下列国内核心期刊审稿专家：（1）《计算机学报》（2）《软件学报》（3）《计算机研究与发展》（4）《中国科学》（5）《电子学报》（6）《模式识别与人工智能》（7）《计算机科学》（8）《小型微型计算机系统》（9）《计算机应用研究》（10）《计算机工程与科学》（11）《微电子学与计算机》担任下列国内外会议PC Chair or Member：（1）全国智能信息处理学术会议（NCIIP）程序委员会主席（2）江苏省人工智能学术会议程序委员会主席（3）2012\2013\2014年信息、智能与计算国际研讨会主席（4）粒度计算国际会议程序委员会委员（5）智能信息处理国际会议程序委员会委员（6）中国机器学习会议程序委员会委员（7）中国粗糙集与软计算、中国粒计算、中国Web智能联合会议程序委员会委员等。丁世飞研究方向模式识别与人工智能机器学习与数据挖掘粗糙集与软计算粒度计算感知与认知计算丁世飞学术成果已完成的项目： 2001-2003参加并完成国家自然科学基金项目“信息模式识别理论及其在地学中的应用”的研究（项目编号: 40074001） 1999-2001主持完成省教育厅项目“信息模式识别理论及其在害虫预测预报中的应用研究” 1998-2000主持完成省教育厅项目“农作物病虫害现代生物数学预报技术研究” 2005-2006主持中国博士后科学基金项目“视感知学习理论及其应用研究”（N2005037439） 2004-2006主持山东省作物生物学国家重点实验室开放基金项目“山东省玉米病虫害数字模式分类的研究”（N20040010） 2006-2008参加国家自然科学基金项目“多元数据的信息模式研究与地学数据分析”（N40574001） 2006-2009参加国家863高技术项目“基于感知机理的智能信息处理技术”(N 2006AA01Z128) 2007-2010主持中国科学院智能信息处理重点实验室开放基金项目“基于认知的模式特征分析理论与算法研究”(NIIP2006-2) 2010-2012主持江苏省基础研究计划（自然科学基金）项目“面向高维复杂数据的粒度知识发现研究”(NBK2009093)2011-2012主持北京邮电大学智能通信软件与多媒体北京市重点实验室开放课题 “粒度SVM方法与应用研究” 2010-2012参加国家自然科学基金项目“分布式计算环境下的并行数据挖掘算法与理论研究”(N60975039) 2011-2013主持中国科学院智能信息处理重点实验室开放基金项目“高维复杂数据的粒度支持向量机理论与算法研究”(NIIP2010-1)目前正在进行的项目： 1-12主持国家重点基础研究发展计划（973计划）课题“脑机协同的认知计算模型”(N2013CB329502) 1-12主持国家自然科学基金项目“面向大规模复杂数据的多粒度知识发现关键理论与技术研究” (N 61379101) 1-12参加国家自然科学基金项目“多元空间的模式分析方法研究及其在测量中的应用”(N41074003)已出版著作： 丁世飞,靳奉祥,赵相伟著 现代数据分析与信息模式识别 北京:科学出版社, 丁世飞编著 人工智能 北京: 清华大学出版社, 史忠植著 知识工程 北京: 清华大学出版社, 2011 (丁世飞等参编) 史忠植著 神经网络, 北京: 高等教育出版社, 2009 (丁世飞, 许新征等参编)　　已发表论文： 2014年[1] Shifei Ding, Hongjie Jia, Liwen Zhang, Fengxiang J Research of semi-supervised spectral clustering algorithm based on pairwise Neural Computing and Applications, 2014,24(1):211- (SCI, EI)[2] Shifei Ding, Hongjie Jia, Jinrong Chen, Fengxiang J Granular Neural NArtificial Intelligence Review, 2014,41(3): 373- (SCI, EI)[3] Shifei Ding, Huajuan Huang, Xinzheng Xu, Jian W Polynomial Smooth Twin Support Vector M Applied Mathematics & Information Sciences, 2014, 8(4) (SCI,EI)[4] Shifei Ding, Zhongzhi S Track on Intelligent Computing and A Neurocomputing, 2014, 130, 1-(SCI, EI)[5] Shifei Ding, Xiaopeng H Recursive least squares projection twin support vector Neurocomputing, 2014, 130, 3- (SCI, EI)[6]花小朋,丁世飞 局部保持对支持向量机 计算机研究与发展, 2014, 51(3)(EI)　　2013年[1] Xinzheng Xu, Shifei Ding, Weikuan Jia, Gang Ma, Fengxiang J Research of assembling optimized classification algorithm by neural network based on Ordinary Least Squares (OLS) Neural Computing and Applications, 2013,22(1):187-(SCI, EI)[2] Shifei Ding, Hui Li, Chunyang Su, Junzhao Yu, Fengxiang J Evolutionary artificial neural networks: a Artificial Intelligence Review, 2013, 39(3):251- (SCI, EI)[3] Li Hui, Ding S Research of Individual Neural Network Generation and Ensemble Algorithm Based on Quotient Space Granularity C Applied Mathematics & Information Sciences, 2013, 7(2):701- (SCI, EI)[4] Hui Li, Shifei D Research and Development of Granular Neural N Applied Mathematics & Information Sciences, 2013, 7(3):1251-(SCI, EI)[5] Shifei Ding, Bingjuan Qi, Hongjie Jia, Hong Z Research of Semi-supervised Spectral Clustering Based on Constraints E Neural Computing and Applications, 2013, 22 (Suppl 1):405- (SCI, EI)[6] Shifei Ding, Yanan Zhang, Jinrong Chen, Weikuan J Research on Using Genetic Algorithms to Optimize Elman Neural N Neural Computing and Applications, 2013, 23(2):293-(SCI, EI)[7] Hua-juan Huang, Shi-fei Ding, Zhong-zhi S Primal least squares twin support vector Journal of Zhejiang University SCIENCE C, 2013, 14(9):722- (SCI, EI)[8] Shifei Ding, Youzhen Han, Junzhao Yu, Yaxiang G A fast fuzzy support vector machine based on information Neural Computing and Applications, 2013, 23(suppl 1):S139-S144(SCI, EI)[9] 黄华娟,丁世飞 多项式光滑孪生支持向量回归机 微电子学与计算机, 2013, 30(10):5-[10] 丁世飞,黄华娟 加权光滑CHKS孪生支持向量机 软件学报, 2013, 24(11):2548-[11] 贾洪杰,丁世飞基于邻域粗糙集约减的谱聚类算法南京大学学报自然科学版,2013, 49(5):619-[12] Hong Zhu,Shifei Ding, Xinzheng Xu, Li X A parallel attribute reduction algorithm based on Affinity Propagation Journal of Computers, 2013, 8(4):990- (EI)[13] Hong Zhu, Shifei Ding, Han Zhao, Lina B Attribute granulation based on attribute discernibility and AP Journal of Software, 8(4):834-(EI)[14] Yanan Zhang, Shifei Ding, Xinzheng Xu, Han Zhao, Wanqiu X An Algorithm Research for Prediction of Extreme Learning Machines Based on Rough S Journal of Computers, 2013, 8(5): 1335-(EI)[15] Hui Li, Shifei D A Novel Neural Network Classification Model based on Covering and Affinity Propagation Clustering A Journal of Computational Information Systems, 2013, 9(7):2565- (EI)[16] Shifei Ding, Junzhao Yu, Huajuan Huang, Han Z Twin Support Vector Machines Based on Particle Swarm O Journal of Computers, 2013, 8(9): 2296- (EI)[17] Huajuan Huang,Shifei Ding, Fulin W Invasive Weed Optimization Algorithm for Optimizating the Parameters of Mixed Kernel Twin Support Vecotr M Journal of Computers, 2013, 8(8): 2077- (EI)[18] Hongjie Jia, Shifei Ding, Hong Zhu, Fulin Wu, Lina B A Feature Weighted Spectral Clustering Algorithm Based on Knowledge E Journal of Software, 2013, 8(5): 1101- (EI)[19] Tongfeng Sun, Shifei Ding, Zihui Ren Novel Image Recognition Based on Subspace and SIFT Journal of Software, 2013, 8(5): 1109-(EI)[20] Shifei Ding, Fulin Wu, Ru Nie, Junzhao Yu, Huajuan H Twin Support Vector Machines Based on Quantum Particle Swarm O Journal of Software, 2013, 8(7): 1743- (EI)[21] Ding Shifei, Zhang Yanan, Xu Xinzheng, Bao L A novel extreme learning machine based on hybrid kernel Journal of Computers,2013, 8(8):2110-(EI)[22] Shifei Ding, Huajuan Huang, Ru N Forecasting Method of Stock Price Based on Polynomial Smooth Twin Support Vector R Lecture Notes in Computer Science, 2013, Volume 7995, 2013, pp 96- (EI)2012年[1]Shifei Ding, Hong Zhu,Weikuan Jia,Chunyang S A survey on feature extraction for pattern Artificial Intelligence Review,2012, 37(3):169- (SCI, EI)[2] Shifei Ding,Li Xu,Chunyang Su,Fengxiang J An optimizing method of RBF neural network based on genetic Neural Computing and Applications, 2012, 21(2):333- (SCI, EI)[3] Shifei Ding,Bingjuan Q Research Of granular support vector Artificial Intelligence Review, 2012, 38(1):1- (SCI, EI)[4] Xin-zheng XU, Shi-fei DING, Zhong-zhi SHI, Hong ZHU Optimizing radial basis function neural network based on rough sets and affinity propagation clustering Journal of Zhejiang University-SCIENCE C (Computers & Electronics), 2012,13(2):131- (SCI, EI)[5] Bingjuan Qi,Shifei Ding, Huajuan Huang, Junzhao Y A Support Vector Extraction Method based on Clustering MInternational Journal of Digital Content Technology and its Applications, 2012, 6(13):1- (EI)[6] Chang Tong, Shi-fei Ding, Hong Zhu, Hongjie J A Granularity Attribute Reduction Algorithm Based on Binary Discernibility M International Journal of Advancements in Computing Technology, 2012, 4(12):213- (EI)[7] Xiaopeng Hua, Shifei D Matrix Pattern Based Projection Twin Support Vector M International Journal of Digital Content Technology and its Applications, 2012, 6(20):172- (EI)[8] Junzhao Yu, Shifei Ding, Huajuan H Twin Support Vector Machines Based on Rough S International Journal of Digital Content Technology and its Applications, 2012, 6(20):493- (EI)[9] Huajuan Huang, Shifei D A Novel Granular Support Vector Machine Based on Mixed Kernel F International Journal of Digital Content Technology and its Applications, 2012, 6(20):484- (EI)[10] Shifei Ding(Guest editorial) Special Issue: Advances in Information and Computers, Journal of Computers, 2012, 7(10):2351-(EI)[11] Shifei Ding(Guest editorial) Special Issue: Advances in Information and N Journal of Networks, 2012, 7(7):1007-(EI)(被EI收录, 收录号:20123415368412)[12] Shifei Ding(Guest editorial) Special Issue: Advances in Information and N Journal of Software, 7(9):1923- (EI)[13] Shifei Ding, Zhentao Yu (Guest editorial) Special Issue: Advances in Computers and Electronics E Journal of Computers, 2012, 7(12):2851- (EI)[14]丁世飞, 朱红, 许新征, 史忠植 基于熵的模糊信息测度研究 计算机学报, 35(4):796-801(EI)[15] 朱红,丁世飞, 许新征 基于改进属性约简的细粒度并行AP聚类算法 计算机研究与发展, 2012, 49(12):2638-2644 (EI)[16] 许新征,丁世飞,史忠植,赵作鹏,朱红一种基于QPSO的脉冲耦合神经网络参数的自适应确定方法 模式识别与人工智能, 2012,25(6): 909-915(EI)[17] 马刚,丁世飞, 史忠植 基于极速学习的粗糙RBF神经网络 微电子学与计算机, 2012, 29(8):9-2011年[1]Shifei Ding, Weikuan Jia, Chunyang Su, et Research of Neural Network Algorithm Based on Factor Analysis and Cluster A Neural Computing and Applications, 2011, 20(2): 297-302 (SCI,EI)[2]Shifei Ding, Chunyang Su, Junzhao Y An Optimizing BP Neural Network Algorithm Based on Genetic A Artificial Intelligence Review, 2011, 36A Artificial Intelligence Review, 2011, 36(2): 153-162 (SCI, EI)[3]Shifei Ding, Weikuan Jia, Chunyang Su, et Research of Neural Network Algorithm Based on Factor Analysis and Cluster A Neural Computing and Applications, 2011, 20(2): 297-302 (SCI, EI)[4]Shifei Ding, Chunyang Su, Junzhao Y An Optimizing BP Neural Network Algorithm Based on Genetic A Artificial Intelligence Review, 2011, 36(2): 153-162 (SCI, EI)[5]Ding Shifei, Qian Jun, Xu Li, Zhao Xiangwei, Jin F A Clustering Algorithm Based on Information V International Journal of Digital Content Technology and its Applications, 2011, 5(1): 26-31 (EI)[6]Shifei Ding, Yu Zhang, Li Xu, Jun Q A Feature Selection Algorithm Based on Tolerant G Journal of Convergence Information Technology, 2011, 6(1): 191-195 (EI)[7]Ding Shifei, Li Jianying, Xu Li, Qian J Research Progress of Granular Computing (GrC) International Journal of Digital Content Technology and its Applications, 2011, 5(1): 162-172 (EI)[8]Ding Shifei, Qian Jun, Xu Li, Zhao Xiangwei, Jin F A Clustering Algorithm Based on Information VInternational Journal of Digital Content Technology and its Applications, 2011, 5(1): 26-31 (EI)[9]Shifei Ding, Yu Zhang, Li Xu, Jun Q A Feature Selection Algorithm Based on Tolerant G Journal of Convergence Information Technology, 2011, 6(1): 191-195 (EI)[10]Ding Shifei, Li Jianying, Xu Li, Qian J Research Progress of Granular Computing (GrC) International Journal of Digital Content Technology and its Applications, 2011, 5(1): 162-172 (EI)[11]Shifei DING, Jinrong CHEN, Xinzheng XU, Jianying LI Rough Neural Networks: A Journal of Computational Information Systems, 2011, 7(7): 2338-2346(EI)[12]Shifei Ding, Xinzheng Xu, Hong Z Studies on Optimization Algorithms for Some Artificial Neural Networks Based on Genetic Algorithm (GA) Journal of Computers, 2011, 6 (5):939-946 (EI)[13]Shifei DING, Yaxiang GU A Fuzzy Support Vector Machine Algorithm with Dual Membership Based on H Journal of Computational Information Systems, 2011, 7(6): 2028-2034 (EI)[14]丁世飞, 齐丙娟, 谭红艳 支持向量机理论与算法研究综述 电子科技大学学报,2011, 40(1): 2-10 (EI)[15] 贾伟宽, 丁世飞, 许新征, 苏春阳, 史忠植 基于Shannon熵的因子特征提取算法研究 模式识别与人工智能, 2011, 24(3): 327-331 (EI)2010年以前[1] Shifei Ding, Weikuian Jia, Xinzheng Xu, et Neural Networks Algorithm Based on Factor A Lecture Notes in Computer Science, V6063/2010, 319-324 (EI)[2] Shifei Ding, Weikuan Jia, Chunyang Su, et An improved BP Neural Netwok Algorithm Based on Factor A Journal of Convergence Information Technology, 2010, 5(4): 103-108 (EI)[3] Shifei Ding, Li Xu, Hong Zhu, Liwen Z Research and Progress of Cluster Algorithms based on Granular C International Journal of Digital Content Technology and its Applications, 2010, 4(5): 96-104 (EI)[4] Shifei Ding, Li Xu, Chunyang Su, Hong Z Using Genetic Algorithms to Optimize Artificial Neural Networks, Journal of Convergence Information Technology, 2010, 5(8): 54-62 (EI)[5] Shifei Ding, Yongping Zhang, Xiaofeng Lei et Research on a principal components decision algorithm based on information Journal of Information Science, 2009, 35(1):120-127 (SCI, EI)[6]Shifei Ding, Chunyang Su, Weikuan Jia, Fengxiang Jin, Zhongzhi S Several Progress of Semi-Supervised L Journal of Information & Computational Science, 2009, 6(1): 211-217 (EI)[7] Shi-Fei Ding, Shi-Xiong Xia, Feng-Xiang Jin, Zhong-Zhi S Novel Fuzzy Information Proximity M Journal of Information Science, 2007, 33 (6):678-685 (SCI, EI)[8] Ding Shifei, Shi Z Supervised Feature Extraction Algorithm Based on Improved Polynomial E Journal of Information Science, 32(4): 309-315,8 (SCI, EI)[9] Ding Shifei, Shi Z Studies on Incidence Pattern Recognition Based on Information E Journal of Information Science, 31(6):497-502,12 (SCI, EI)[10] Ding Shifei, Jin F Information characteristics of discrete K-L transform based on information Transactions Nonferrous Metals Society of China, 6(SCI ,EI)[11] Shifei Ding, Zhongzhi Shi, Xiaoying W Symmetric Cross Entropy and Information Feature Compression A Journal of Computational Information Systems, 1(2): 247-252 , 6 (EI)[12] Ding Shifei, Shi Z Studies on Information Clustering Algorithm Based on MID Chinese Journal of Electronics, V15 N4A, 918-920, 2006 (SCI, EI)[13] Ding Shifei, Shi Z Divergence-based Supervised Information Feature Compression ALecture Notes in Computer Science, V 3971/2006, 1421-1426(SCI, EI)[14] Shifei Ding, Zhongzhi S A Novel Supervised Information Feature Compression A Lecture Notes in Computer Science, V 3991/2006, 777-780 (SCI, EI)[15] Shifei Ding, Zhongzhi Shi, Yuncheng Wang,and Fengxiang J Optimization Feature Compression and FNN R Lecture Notes in Control and Information Science, V 344/2006, 951-956(SCI, EI)[16] Shifei Ding, Zhongzhi Shi, and Fengxiang J Supervised Feature Extraction Algorithm Based on Continuous Divergence C Lecture Notes in Artificial Inteligence, V 4114/2006, 268-277 (SCI, EI)[17] 丁世飞, 贾伟宽, 许新征, 苏春阳 基于PLS的Elman神经网络算法研究 电子学报, 2010, 38(2A): 71-75 (EI)[18] 许新征, 丁世飞, 史忠植, 贾伟宽 图像分割的新理论何新方法 电子学报, 2010, 38(2A): 76-82(EI)[19] 丁世飞,靳奉祥 Fuzzy-Grey信息集成模式识别算法的研究 计算机辅助设计与图形学学报, 2004, 16(3):275-278 (EI)[20] 丁世飞,靳奉祥,史忠植 基于PLS的信息特征压缩算法 计算机辅助设计与图形学学报, 2005, 17(2):368-371 (EI)[21] 丁世飞,史忠植 基于广义距离的直接聚类算法研究计算机研究与发展，2007, 44(4): 674-679(EI)[22] 丁世飞,黄华娟 加权光滑CHKS孪生支持向量机 软件学报, 2013, 24(11):2548-2557(EI)丁世飞,获奖情况 2007年获全国优秀博士学位论文提名奖 2006年获山东省优秀博士学位论文奖 2007年获山东高等学校优秀科研成果二等奖，第1位 2006年获中国科学院计算技术研究所优秀博士后出站报告 2004年获山东高等学校优秀科研成果二等奖，第1位 2001年获山东省省级教学成果三等奖，第4位