杨习贝

杨习贝 教授 计算机学院 个人邮箱： zhenjiangyangxibei@163.com 个人主页： http://mypage.just.edu.cn/jsjkxgc/yxb/list.htm 办公地点： 通讯地址： 江苏省镇江市梦溪路2号 邮政编码： 212003 传真： 您是第16734 位访问者 版权所有 © 江苏科技大学 个人简介 杨习贝(1980-)，男，博士(后)，教授，博士生导师(管理科学与工程)，硕士生导师(计算机科学与技术/学术学位、软件工程/学术学位、电子信息/专业学位)，中国人工智能学会粒计算与知识发现专业委员会常务委员，江苏省人工智能学会机器学习专业委员会常务委员。     2010年于南京理工大学获得博士学位，2012年全国优秀博士学位论文提名获得者，2011年江苏省优秀博士学位论文获得者，2012年江苏省企业博士集聚计划获得者，2012年江苏省青蓝工程优秀青年骨干教师，2014年江苏省青蓝工程中青年学术带头人，2015年首批江苏科技大学深蓝学者，2012/2013和2015/2016年度江苏科技大学优秀教师。先后主持国家自然科学基金3项，江苏省自然科学基金1项，江苏省博士后科学基金1项，教育部重点实验室项目3项，参与国家自然科学基金2项，江苏省自然科学基金1项，授权国家发明专利9项，获吴文俊人工智能科学技术奖1项，镇江市科技进步奖1项，镇江市优秀科技论文(专著)特等奖1项。    2012年出版英文学术专著1部，近年来发表学术论文100余篇，论文被引用2000余次，h-index为32，所指导研究生获得江苏省优秀硕士学位论文3人次，江苏科技大学优秀硕士学位论文7人次。 研究方向 粗糙集粒计算机器学习新能源汽车用户行为分析3D建模及平台应用开发手游开发 教育经历 1998.09-2002.06, 徐州师范大学, 本科2003.09-2006.03, 江苏科技大学, 硕士2006.04-2010.01, 南京理工大学, 博士2009.05-2009.10, 美国San Jose State University, 访问学者2010.04-至今, 江苏科技大学，教师2010.05-2013.05, 江苏尚博信息科技有限公司/南京理工大学, 博士后2013.11-2018.12, 南京理工大学, 博士后2016.07-2017.07, 加拿大University of Regina，访问学者 课程教学 离散数学(全英文授课, 本科生)粗集理论及应用(全英文授课, 硕士生)Knowledge Discovery and Data Mining(全英文授课, 留学生)Rough Set and It's Applications(全英文授课, 留学生) 科研项目 国家自然科学基金青年基金, 2012.01-2014.12, 主持人江苏省自然科学基金面上项目, 2011.07-2014.12, 主持人江苏省高校自然科学基金, 2011.08-2013.12, 主持人中国博士后科学基金, 2012.05-2013.05, 主持人江苏省青蓝工程优秀青年骨干教师, 2012.12-2015.01, 主持人江苏省青蓝工程中青年学术带头人, 2014.05-2017.08, 主持人国家自然科学基金面上项目, 2016.01-2019.12, 主持人国家自然科学基金面上项目, 2015.01-2018.12, 排名第二国家自然科学基金面上项目，2021.01-2024.12，主持人 专利成果 [1] 杨习贝, 王长宝, 胡广朋, 董海燕. 具有防止小孩被困 ATM 机防护舱的舱门电子系统及实现方法, 专利号: ZL201610270966.6, 授权公告日: 2018 年 4 月 17 日.[2] 杨习贝, 王长宝, 胡广朋, 董海燕. 基于多传感防止被困 ATM 机防护舱舱门电子系统及实现方法, 专利号: ZL201610242307.1, 授权公告日: 2018 年 4 月 13 日.[3] 杨习贝, 王长宝, 张明, 胡广朋, 董海燕.探人灵敏度受声控的 ATM 机防护舱舱门电子系统及实现方法, 专利号: ZL201610244763.X, 授权公告日: 2017 年 12 月 15 日.[4] 杨习贝, 李京政, 吴陈, 王长宝, 胡广朋, 董海燕. 基于多传感防止被困 ATM 机防护舱舱门电子系统及实现方法, 专利号: ZL201610273231.9, 授权公告日: 2017 年 12 月 12 日. 论文著作 [1] Xibei Yang, Jingyu Yang. Incomplete information system and rough set theory: Models and attribute reductions, Science Press & Springer, 2012. (Science Press ISBN: 978-7-03-032476-4, Springer ISBN: 978-3-642-25934-0)[2] Xibei Yang*, Jingyu Yang, Chen Wu, Dongjun Yu. Dominance-based rough set approach and knowledge reductions in incomplete ordered information system, Information Sciences, Vol. 178, No. 4, 2008, pp. 1219-1234. [3] Xbei Yang*, Jun Xie, Xiaoning Song, Jingyu Yang. Credible rules in incomplete decision system based on descriptors, Knowledge-Based Systems, Vol. 22, No. 1, 2009, pp. 8-17. [4] Xibei Yang*, Tsau Young Lin, Jingyu Yang, Yan Li, Dongjun Yu. Combination of interval-valued fuzzy set and soft set, Computers & Mathematics with Applications, Vol. 58, No. 3, 2009, pp. 521-527. [5] Xibei Yang*, Dongjun Yu, Jingyu Yang, Lihua Wei. Dominance-based rough set approach to incomplete interval-valued information system, Data & Knowledge Engineering, Vol. 68, No. 11, 2009, pp. 1331–1347.[6] Xibei Yang*, Dongjun Yu, Jingyu Yang, Xiaoning Song. Difference relation-based rough set and negative rules in incomplete information system, International Journal of Uncertainty, Fuzziness and Knowledge-based Systems, Vol. 17, No. 5, 2009, pp. 649-665. [7] Xibei Yang*, Ming Zhang, Huili Dou, Jingyu Yang. Neighborhood systems-based rough sets in incomplete information system, Knowledge-Based Systems, Vol. 24, No. 6, 2011, pp. 858-867. [8] Xibei Yang*, Ming Zhang. Dominance-based fuzzy rough approach to an interval-valued decision system, Frontier of Computer Science in China, Vol. 5, No. 2, 2011, pp. 195-204. [9] Xibei Yang*, Zehua Chen, Huili Dou, Ming Zhang, Jingyu Yang, Neighborhood system based rough set: Models and attribute reductions, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol. 20, No. 3, 2012, pp. 399-419.[10] Xibei Yang*, Yuhua Qian, Jingyu Yang, Hierarchical structures on multigranulation spaces, Journal of Computer Science and Technology, Vol. 27, No. 6, 2012, pp. 1169-1183. [11] Xibei Yang*, Yanqin Zhang, Jingyu Yang, Local and global measurements of MGRS rules, International Journal of Computational Intelligence Systems, Vol. 5, No. 6, 2012, pp. 1010-1024.[12] Xibei Yang*, Xiaoning Song, Zehua Chen, Jingyu Yang, On multigranulation rough sets in incomplete information system, International Journal of Machine Learning & Cybernetics, Vol. 3, No. 3, 2012, pp. 223-232.[13] Lijuan Wang*, Xibei Yang, Jingyu Yang, Chen Wu, Relationships among generalized rough sets in six coverings and pure reflexive neighborhood system, Information Sciences, Vol. 207, 2012, pp. 35-49. [14] Xibei Yang*, Yunsong Qi, Xiaoning Song, Jingyu Yang, Test cost sensitive multigranulation rough set: Model and minimal cost selection, Information Sciences, Vol. 250, 2013, pp. 184-199. [15] Xibei Yang*, Xiaoning Song, Yanhong She, Jingyu Yang, Hierarchy on multigranulation structures: A knowledge distance approach, International Journal of General Systems, Vol. 42, No. 7, 2013, pp. 754-773. [16] Xibei Yang*, Yuhua Qian, Jingyu Yang, On characterizing hierarchies of granulation structures via distances, Fundamenta Informaticae, Vol. 123, No. 3, 2013, pp. 365-380.[17] Yunsong Qi*, Xibei Yang, Interval-valued analysis for discriminative gene selection and tissue sample classification using microarray data, Genomics, Vol. 101, No. 1, 2013, pp. 38-48. [18] Xibei Yang*, Yong Qi, Hualong Yu, Xiaoning Song, Jingyu Yang, Updating multigranulation rough approximations with increasing of granular structures, Knowledge-Based Systems, Vol. 64, 2014, pp. 59-69. [19] Xibei Yang*, Xiaoning Song, Yunsong Qi, Jingyu Yang, Constructive and axiomatic approaches to hesitant fuzzy rough set, Soft Computing, Vol. 18, No. 6, 2014, pp. 1067-1077. [20] Jingjing Song, Xibei Yang*, Xiaoning Song, Hualong Yu, Jingyu Yang, Hierarchies on fuzzy information granulations: A knowledge distance based lattice approach, Journal of Intelligent & Fuzzy Systems, Vol. 27, No. 3, 2014, pp. 1107-1117. (研究生一作)[21] Hengrong Ju, Xibei Yang*, Xiaoning Song, Yunsong Qi, Dynamic updating multigranulation fuzzy rough set: approximations and reducts, International Journal of Machine Learning & Cybernetics, Vol. 5, No. 6, 2014, pp. 981-990. (研究生一作)[22] Zaiyue Zhang, Xibei Yang*, Tolerance-based multigranulation rough sets in incomplete systems, Frontiers of Computer Science, Vol. 8, No. 5, 2014, pp. 753-762. [23] Xibei Yang*, Yong Qi, Dong-Jun Yu, Hualong Yu, Jingyu Yang, alpha–Dominance relation and rough sets in interval-valued information systems, Information Sciences, Vol. 294, 2015, pp. 334-347.[24] Suping Xu, Xibei Yang*, Hualong Yu, Dong-Jun Yu, Jingyu Yang, Eric C. C. Tsang, Multi-label learning with label-specific feature reduction, Knowledge-Based Systems, Vol. 104, 2016, pp. 52-61. (研究生一作)[25] Hengrong Ju, Xibei Yang*, Hualong Yu, Tongjun Li, Dong-Jun Yu, Jingyu Yang, Cost-sensitive rough set approach, Information Sciences, Vol. 355-356, 2016, pp. 282-298. (研究生一作)[26] Huili Dou, Xibei Yang*, Xiaoning Song, Hualong Yu, Wei-Zhi Wu, Jingyu Yang, Decision-theoretic rough set: A multicost strategy, Knowledge -Based Systems, Vol. 91, 2016, pp. 71-83.[27] Xibei Yang*, Suping Xu, Huili Dou, Xiaoning Song, Hualong Yu, Jingyu Yang, Multigranulation rough set: A multiset based strategy, International Journal of Computational Intelligence Systems, Vol. 10, No. 1, 2017, pp. 277-292.[28] Xibei Yang*, Yiyu Yao, Ensemble selector for attribute reduction, Applied Soft Computing, Vol. 70, 2018, pp. 1-11.[29] Shaochen Liang, Xibei Yang*, Xiangjian Chen, Jingzheng Li, Stable attribute reduction for neighborhood rough set, Filomat, Vol. 32, No. 5, 2018, pp. 1809-1815. (研究生一作)[30] Jingzheng Li, Xiangjian Chen, Pingxin Wang, Xibei Yang*, Local view based cost-sensitive attribute reduction, Filomat, Vol. 32, No. 5, 2018, pp. 1817-1822. (研究生一作)[31] Xibei Yang*, Shaochen Liang, Hualong Yu, Shang Gao, Yuhua Qian, Pseudo-label neighborhood rough set: Measures and attribute reductions, International Journal of Approximate Reasoning, Vol. 105, 2019, pp. 112-129.[32] Keyu Liu, Xibei Yang*, Hamido Fujita, Dun Liu, Xin Yang, Yuhua Qian, An efficient selector for multi-granularity attribute reduction, Information Sciences, Vol. 505, 2019, pp. 457-472. (研究生一作)[33] Keyu Liu, Xibei Yang*, Hualong Yu, Jusheng Mi, Pingxin Wang, Xiangjian Chen, Rough set based semi-supervised feature selection via ensemble selector, Knowledge-Based Systems, Vol. 165, 2019, pp. 282-296. (研究生一作)[34] Zehua Jiang, Xibei Yang*, Hualong Yu, Dun Liu, Pingxin Wang, Yuhua Qian, Accelerator for multi-granularity attribute reduction, Knowledge-Based Systems, Vol. 177, 2019, pp. 145-158. (研究生一作)[35] Jingzheng Li, Xibei Yang*, Xiaoning Song, Jinhai Li, Pingxin Wang, Dong-Jun Yu, Neighborhood attribute reduction: A multi-criterion approach, International Journal of Machine Learning & Cybernetics, Vol. 10, No. 4, 2019, pp. 731-742. (研究生一作)[36] Zehua Jiang, Keyu Liu, Xibei Yang*, Hualong Yu, Hamido Fujita, Yuhua Qian, Accelerator for supervised neighborhood based attribute reduction, International Journal of Approximate Reasoning, Vol. 119, 2020, pp. 122-150. (研究生一作)[37] Keyu Liu, Xibei Yang*, Hualong Yu, Hamido Fujita, Xiangjian Chen, Dun Liu, Supervised information granulation strategy for attribute reduction, International Journal of Machine Learning & Cybernetics, Vol. 11, No. 9, 2020, pp. 2149-2163. (研究生一作)[38] Yan Chen, Keyu Liu, Jingjing Song, Hamido Fujita*, Xibei Yang, Yuhua Qian, Attribute group for attribute reduction, Information Sciences, Vol. 535, 2020, pp. 64-80. (研究生一作)[39] Xiansheng Rao, Xibei Yang*, Xin Yang, Xiangjian Chen, Dun Liu, Yuhua Qian, Quickly calculating reduct: An attribute relationship based approach, Knowledge-Based Systems, Vol. 200, 2020, Article 106014.(研究生一作)[40] Xiansheng Rao, Keyu Liu, Jingjing Song, Xibei Yang*, Yuhua Qian, Gaussian kernel fuzzy rough based attribute reduction: An acceleration approach, Journal of Intelligent & Fuzzy Systems, Vol. 39, No. 1, 2020, pp. 679-695. (研究生一作)[41]  Zehua Jiang, Huili Dou*, Jingjing Song, Pingxin Wang, Xibei Yang, Yuhua Qian,  Data-guided multi-granularity selector for attribute reduction, Applied Intelligence, Vol. 51, No. 2, 2021, pp. 876-888. (研究生一作)[42]  Zehua Jiang, Keyu Liu, Jingjing Song, Xibei Yang*, Jinhai Li, Yuhua Qian, Accelerator for crosswise computing reduct, Applied Soft Computing, Vol. 98, 2021, Article 106740. (研究生一作)[43]  Yan Chen, Pingxin Wang, Xibei Yang*, Jusheng Mi, Dun Liu, Granular ball guided selector for attribute reduction, Knowledge-Based Systems, Vol. 229, 2021, Article 107326. (研究生一作)[44]  Jing Ba, Keyu Liu, Hengrong Ju, Suping Xu, Taihua Xu, Xibei Yang*, Triple-G: A new MGRS and attribute reduction, International Journal of Machine Learning & Cybernetics, Vol. 13, No. 2, 2022, pp. 337-356. (研究生一作)[45]  Zhen Chen, Keyu Liu, Xibei Yang*, Hamido Fujita, Random sampling accelerator for attribute reduction, International Journal of Approximate Reasoning,  Vol. 140, 2022, pp. 75-91. (研究生一作)[46] Yan Chen, Xibei Yang*,  Jinhai Li, Pingxin Wang, Yuhua Qian, Fusing attribute reduction accelerators, Information Sciences, Vol. 587, 2022, pp. 354-370. (研究生一作)[47] Zhice Gong, Yuxin Liu, Taihua Xu*, Pingxin Wang, Xibei Yang, Unsupervised attribute reduction: Improving effectiveness and efficiency, International Journal of Machine Learning & Cybernetics, Vol. 13, No. 11, 2022, pp. 3645-3662. (本科生一作)[48] Yining Chen, Pingxin Wang, Xibei Yang*, Hualong Yu, BEE: Towards a robust attribute reduction, International Journal of Machine Learning & Cybernetics, Vol. 13, No. 12, 2022, pp. 3927-3962.(研究生一作)[49] Yuxin Liu, Zhice Gong, Keyu Liu, Suping Xu, Hengrong Ju, Xibei Yang*, A Q-learning approach to attribute reduction, Applied Intelligence, Vol. 53, No. 4, 2023, pp. 3750-3765. (本科生一作)[50] Jiaqi Sun, Pingxin Wang, Hualong Yu, Xibei Yang*, A constraint score guided meta-heuristic searching to attribute reduction,  Journal of Intelligent & Fuzzy Systems, Vol. 44, No. 3, 2023, pp. 4779-4800. (研究生一作)[51] Jiadong Zhang, Keyu Liu*, Xibei Yang, Hengrong Ju, Suping Xu, Multi-label learning with Relief-based label-specific feature selection, Applied Intelligence, Vol. 53, No. 15, 2023, pp. 18517-18530. (研究生一作)[52] Jing Ba, Pingxin Wang, Xibei Yang*, Hualong Yu, Dongjun Yu, GLEE: A granularity filter for feature selection, Engineering Applications of Artificial Intelligence, Vol. 122, 2023, Article 106080. (研究生一作)[53] Keyu Liu, Tianrui Li*, Xibei Yang, Hongmei Chen, Jie Wang, Zhixuan Deng, SemiFREE: Semi-supervised feature selection with fuzzy relevance and redundancy, IEEE Transactions on Fuzzy Systems, Vol. 31, No. 10, 2023, pp. 3384-3396.[54] Zhenyu Yin, Xibei Yang*, Pingxin Wang, Hualong Yu, Yuhua Qian, Ensemble selector mixed with pareto optimality to feature reduction, Applied Soft Computing, Vol. 148, 2023, Article 110877.  (研究生一作)[55] Jing Ba, Keyu Liu, Xibei Yang*, Yuhua Qian, Gift: granularity over specific-class for feature selection, Artificial Intelligence Review, Vol. 56, No. 10, 2023, pp. 12201-12232. (研究生一作)[56] Xiaoxiao Wang, Xibei Yang*, Pingxin Wang, Hualong Yu, Taihua Xu, SSGCN: a sampling sequential guided graph convolutional network, International Journal of Machine Learning & Cybernetics, DOI: 10.1007/s13042-023-02013-2, Accepted. (研究生一作)[57] Qiguo Sun*, Xueying Wei, Xibei Yang, GraphSAGE with deep reinforcement learning for financial portfolio optimization, Expert Systems with Applications, Vol. 238, Part C, 2024, Article 122027. [58] Qihang Guo, Xibei Yang*, Fengjun Zhang, Taihua Xu, Perturbation-augmented graph convolutional networks: A graph contrastive learning architecture for effective node classification tasks, Engineering Applications of Artificial Intelligence, Accepted. (研究生一作) 科研团队 王平心(1980-)，江苏科技大学副教授，硕士生导师，中国人工智能学会粒计算与知识发现专业委员会委员，主要研究方向为粒计算与三支决策。发表学术论文30余篇，主持国家自然科学基金项目1项。http://mypage.just.edu.cn/sl/wpx/list.htm徐泰华(1989-)，西南交通大学博士，现为江苏科技大学讲师，硕士生导师。发表学术论文10余篇，主持国家自然科学基金项目1项。宋晶晶(1990-)，江苏科技大学硕士(导师: 杨习贝)，澳门科技大学博士，现为江苏科技大学副教授，硕士生导师，中国人工智能学会粒计算与知识发现专业委员会委员，主要研究方向为粒计算与知识发现。发表学术论文10余篇，主持国家自然科学基金项目1项。鞠恒荣(1989-)，江苏科技大学硕士(导师: 杨习贝)，南京大学博士，现为南通大学副教授，硕士生导师，主要研究方向为粒计算与机器学习。江苏省优秀专业硕士学位论文获得者，发表学术论文20余篇，被引50余次，主持国家自然科学基金项目1项，江苏省高校自然科学基金项目1项，入选江苏省双创博士计划。徐苏平(1991-)，江苏科技大学硕士(导师: 杨习贝)，主要研究方向为粒计算与多标记学习。江苏省优秀学术学位硕士学位论文获得者，在IJCAI(CCF A)等会议、期刊上发表论文10余篇，现为南京大学博士研究生。李京政(1993-)，江苏科技大学硕士(导师: 杨习贝)，主要研究方向为粒计算与机器学习。江苏科技大学优秀硕士学位论文获得者，发表SCI期刊论文2篇，现为北京航空航天大学博士研究生。刘克宇(1994-)，江苏科技大学硕士生(导师: 杨习贝)，主要研究方向为粒计算与机器学习。江苏省优秀学术学位硕士学位论文获得者，发表SCI期刊论文5篇（4篇一区），现为西南交通大学博士研究生。姜泽华(1997-)，江苏科技大学硕士生(导师: 杨习贝)，主要研究方向为粒计算与机器学习。江苏科技大学优秀硕士学位论文获得者，发表SCI期刊论文4篇（2篇一区，1篇三区，1篇CCF B），现就职于海康威视软件开发岗。陈妍(1996-)，江苏科技大学硕士生(导师: 杨习贝)，主要研究方向为粒计算与机器学习。发表SCI期刊论文4篇（3篇一区）。饶先胜(1995-)，江苏科技大学硕士(导师: 杨习贝)，主要研究方向为粒计算与机器学习。江苏科技大学优秀硕士学位论文获得者，发表SCI期刊论文2篇（1篇一区），现就职于中国工商银行六安分行信息科技岗。巴婧(1997-)，江苏科技大学硕士生(导师: 杨习贝)，主要研究方向为粒计算与机器学习。录用SCI期刊论文三区1篇。陈振(1994-)，江苏科技大学硕士生(导师: 杨习贝)，主要研究方向为粒计算与机器学习。发表CCF B类期刊论文1篇。 教学随笔 缜密的逻辑思维！严谨的写作风格！规范的学术道德！宽广的人脉资源！未雨绸缪，早做打算，欢迎加盟！邮箱：zhenjiangyangxibei@163.com企鹅/微信:15942455 (非诚勿扰) 获奖动态,个人首页 科研项目 论文著作 专利成果 科研团队 获奖动态 教学随笔