Kai ZhengSchool of Computer Science and Software Engineering East China Normal University关注立即认领分享关注立即认领分享基本信息浏览量:9职业迁徙个人简介暂无内容研究兴趣论文共 16 篇作者统计合作学者相似作者按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选时间引用量主题期刊级别合作者合作机构Text Classification Model Based on Multi-level Topic Feature Extraction Yongchao Yan,Kai Zhengieee international conference computer and communications(2020)引用2浏览0EIWOS引用20基于申威众核处理器的NSGA-Ⅱ并行和优化方法刘垚, 郑琳,郑凯,王肃,廖启丹计算机应用研究(2020)引用1浏览0引用10Text Sentiment Classification Based on Layered Attention Network Jinhao Wu,Kai Zheng,Jun SunProceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference(2019)引用3浏览0EI引用30SOM算法在申威众核上的实现和优化 (Implementation and Optimization of SOM Algorithm on Sunway Many-core Processors)Qing Yao,Kai Zheng,Yao Liu,Su Wang,Jun Sun, Mengxuan Xu计算机科学(2018)引用0浏览0EI引用00A Scalable Heterogeneous Parallel SOM Based on MPI/CUDAYao Liu,Jun Sun,Qing Yao,Su Wang,Kai Zheng,Yan LiuACML(2018)引用24浏览0EI引用240A Hybrid Parallel Genetic Algorithm with Dynamic Migration Strategy Based on Sunway Many-Core ProcessorYao Liu, Ruixiang Zhao,Kai Zheng,Su Wang,Yan Liu,Huanxue Shen, Qianhao Zhou2017 IEEE 19th International Conference on High Performance Computing and Communications Workshops (...(2017)引用5浏览0EIWOS引用50Improved Fuzzy C-Means Clustering Algorithm Based On Particle Swarm Optimization Algorithm Quan Hu,Kai Zheng, Zheng WangINTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2016(2016)引用3浏览0EI引用30An improved Kademlia algorithm based on Qos Lin Zhu,Kai ZhengCloud Computing and Internet of Things(2014)引用3浏览0EIWOS引用30A Hybrid Keyword Extraction Method Based on TF and Semantic Strategies for Chinese DocumentSu Wang, Ming Ya Wang,Jun Zheng,Kai ZhengApplied Mechanics and Materials(2014)引用1浏览0引用10Multi Resource Scheduling Problem Based on an Improved Discrete Particle Swarm OptimizationSu Wang,Jun Zheng,Kai Zheng,Jun Guo,Xiaoping LiuPhysics Procedia(2012)引用17浏览0引用170加载更多作者统计合作学者合作机构D-Core合作者学生导师暂无相似学者,你可以通过学者研究领域进行搜索筛选数据免责声明页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn