倪晚成

中国科学院自动化研究所

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24

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  • 倪晚成
  • 副研究员

简历:

1997.9~2001.8,北京理工大学自动控制系,学士学位
2001.9~2008.1,清华大学自动化系,硕士、博士学位
2008.1~2009.12,中国科学院自动化研究所,博士后
2010.1~2012.9,中国科学院自动化研究所综合信息系统研究中心,助理研究员
2012.10~今,中国科学院自动化研究所综合信息系统研究中心,高级工程师

研究领域:

基于领域知识的信息资源共享服务,知识驱动智能决策

学术任职:

2014~今 中国自动化学会 青年工作委员会委员

学术成就:

在国内外学术期刊和会议发表论文30余篇。申报国家发明专利20余项,已有12项获得授权。近期发表论文如下:
Haidong Zhang, Wancheng Ni, Xin Li, Yiping Yang. Modeling the Heterogeneous Periods of User Interest Transition in Time-dependent Recommendation: A Hidden Semi-Markov Approach. IEEE Transactions on SMC (SCI IF:2.35)
Haidong Zhang, Wancheng Ni, Xin Li, Yiping Yang. Modeling Idling Customers to Tackle the Sparsity Problem in Time-dependent Recommendation.ICIS2016 (IS与CS领域顶级会议,A+)
Haidong Zhang, Wancheng Ni, Xin Li, Yiping Yang. A hidden semi-Markov approach for time-dependent recommendation, PACIS2016(B+)
ZIqin Lin, Wancheng Ni, Haidong Zhang, Yiping Yang. A Joint Framework for Entity Discovery and Linking in Chinese Questions. IALP2017 (EI)
Ziqi Lin, Wancheng Ni, Haidong Zhang, Yiping Yang. Semantic Reasoning of Question Answering over Heroes of the Marshes Based on Concept Knowledge Tree. ISCID 2017 (EI)
林子琦,倪晚成,杨一平. 基于概念知识树的双宾短语分析, 中文信息学报, 2017, 31(5):152-163
Ziqi Lin, Wancheng Ni, Haidong Zhang, Meijing Zhao, and Yiping Yang, A K-medoids algorithm based method to alleviate the data sparsity in collaborative filtering.CCC2015(EI)
Meijing Zhao, Wancheng Ni, Haidong Zhang,Ziqi Lin and Yiping Yang. A Knowledge-Based Teaching Resources Recommend Model for Primary and Secondary School Oriented Distance-Education Teaching Platform, Springer LNEE, Volume 269, 2014, pp 511-521, (EI)
Haidong Zhang, Wancheng Ni, Meijing Zhao, Yu Liu, Yiping Yang. A hybrid recommendation approach for network teaching resources based on knowledge-tree, CCC 2014, pp 3450 - 3455 (EI)
张海东,倪晚成,赵美静,杨一平. 面向基础教育阶段的教学资源推荐系统, 计算机应用, 2014, 34(11):3353-3356.(中文核心)
Meijing Zhao, Wancheng Ni, Haidong Zhang and Yiping Yang. A Concept-Based Knowledge Representation Model for Semantic Entailment Inference, Proceedings of CCC2014, pp: 522 - 527 (EI)

在研课题:

行业信息采集与知识服务平台
知识驱动博弈推理系统