杨燕燕
近期热点
资料介绍
个人简历
教学工作本科生课程:《离散数学》(全英文) 研究生课程:《机器学习》 工作经历2019.9-至今,北京交通大学,软件学院,讲师 2017.9-2019.9,清华大学,自动化系/系统集成研究所,博士后(合作导师:宋士吉教授)教育背景2015.10-2016.10,英国Ulster大学,计算机工程学院人工智能实验室,联合培养博士生(国家公派) 2013.9-2017.6, 华北电力大学, 控制与计算机工程学院,博士(导师:陈德刚教授) 2010.9-2013.4, 华北电力大学, 数理学院,硕士(导师:陈德刚教授) 2006.9-2010.7,中北大学, 理学院,学士研究领域
机器学习,尤其是迁移学习、主动学习等;大数据分析;不确定性信息处理;粒计算"科研项目1. 国家自然科学基金青年基金项目,面向多模态数据的粗糙集特征选择及其增量算法研究,主持,2019.1-2020.12 2. 中国博士后基金面上资助项目,面向大数据的多输出支持向量回归及其在线算法研究,主持,2018.5-2019.9 3. 北京交通大学人才基金,基于模糊粗糙集的多标记学习算法研究,主持,2019.10-2022.3 4. 中央高校基本科研业务费专项资助项目,基于支持向量回归的多输出系统建模方法研究,主持,2014.01-2015.12 5. 国家自然科学基金重点项目,基于多专业协同的高铁运行智能优化调度理论与在线策略调整学习方法,参与,2020.1-2024.12 6. 国家重点研发计划子课题,支持大规模定制生成的网络协同制造平台研发-面向大规模定制生成的网络化协同制造支撑软件及工具集研发,子课题负责人,2019.6-2022.5 7. 科技部重点研发专项课题,轨道交通系统状态信息实时获取、监测、融合与处理技术,参与,2016.07-2020.06 8. 国家自然科学基金面上项目,基于相关性的大数据分类理论与方法研究,参与,2015.01-2018.12 9. 国家自然科学基金面上项目,基于数据挖掘的大型燃煤发电机组节能诊断理论与方法研究,参与,2012.01-2015.12"近期论文
论文/期刊Publication List (where * represents corresponding authors): [1] Yanyan Yang*, Shiji Song, Degang Chen, Xiao Zhang, Discernible neighborhood counting based incremental feature selection for heterogeneous data, International Journal of Machine Learning and Cybernetics, in press. (SCI,影响因子:3.844,中科院三区) [2] Yanyan Yang*, Degang Chen, Hui Wang, Xizhao Wang, Incremental perspective for feature selection based on fuzzy rough sets, IEEE Transactions on Fuzzy Systems 26(3)(2018): 1257-1273. (SCI,影响因子:8.759,中科院一区) [3] Yanyan Yang*, Degang Chen, Hui Wang, Active sample selection based incremental algorithm for attribute reduction with rough sets, IEEE Transactions on Fuzzy Systems 25(4)(2017): 825-838. (SCI,影响因子:8.759,中科院一区) [4] Yanyan Yang*, Degang Chen, Hui Wang, Eric C.C. Tsang, Deli Zhang, Fuzzy rough set based incremental attribute reduction from dynamic data with sample arriving, Fuzzy Sets and Systems 312(2017): 66-86. (SCI, 影响因子:2.907,中科院二区) [5] Yanyan Yang*, Degang Chen, Ze Dong, Novel algorithm of attribute reduction with variable precision rough set model, Neurocomputing 139(2014): 336-344. (SCI, 影响因子:4.072,中科院二区) [6] Degang Chen,Yanyan Yang*, Attribute reduction for heterogeneous data based on the combination of classical and fuzzy rough set models, IEEE Transactions on Fuzzy Systems 22(5)(2014): 1325-1334. (SCI,影响因子:8.759,中科院一区) [7] Degang Chen, Yanyan Yang*, Ze Dong, An incremental algorithm for attribute reduction with variable precision rough sets, Applied Soft Computing 45(2016): 129-149. (SCI,影响因子:4.873,中科院二区) [8] Ze Dong, Ming Sun, Yanyan Yang*, Fast algorithms of attribute reduction for covering decision systems with minimal elements in discernibility matrix, International Journal of Machine Learning and Cybernetics 7(2)(2016): 297-310. (SCI,影响因子:3.844,中科院三区) [9] Yanyan Yang*, Degang Chen, Ze Dong, Novel multi-output support vector regression model via double regularization, 2015 IEEE Conference on Systems, Man, and Cybernetics. (CCF-B会议)为国际期刊IEEE Transactions on Fuzzy Systems,IEEE Transactions on Cybernetics,Fuzzy Sets and Systems,Knowledge-Based Systems,Experts Systems with Applications, International Journal of Machine Learning and Cybernetics,IEEE Access等审稿; 相关热点