曾华琳-尊龙网平台

 曾华琳-尊龙网平台
曾华琳 讲师

厦门大学 博士

研究方向:人工智能 自然语言处理 中文隐喻处理

所属部门:人工智能系

电子邮件:hlzeng (at) xmu.edu.cn

个人尊龙网平台主页:http://info.xmu.edu.edu.cn/hlzeng.htm

个人简历:

主讲课程:

算法设计与分析(本科生课程)

非经典计算(本科生课程)

线性代数(本科课程)

概率统计(本科课程)

c语言程序设计(本科课程)

学术兼职:

中文信息学会会员

ieee会员

代表性论文:

hualin zeng(曾华琳), changle zhou, fei chao. towards chinese metaphor comprehension based on attribute statistic analysis[j]. 2016 16th uk workshop on computational intelligence, ukci 2016(207-217).(ei:20163902854367)

曾华琳,周昌乐,史晓东,陈毅东. 基于特征自动选择方法的汉语隐喻计算[j]. 厦门大学学报自然科学版. 2016.55(3):406-412

曾华琳,黄雨轩,晁飞,周昌乐. 书写机器人研究综述[j]. 系统智能学报. 2016.2:1-12

gang yao, hualin zeng(曾华琳), fei chao, etc. integration of classifier diversity measures for feature selection-based classifier ensemble reduction[j]. softcomputing, 2015(20):2995-3005.(ei: 20154601546160)

gang yao, fei chao, hualin zeng(曾华琳). integrate classifier diversity evaluation to feature selection based classifier ensemble reduction[j]. 2014 14th uk workshop on computational intelligence, ukci 2014(37-43).(ei: 20144900278209)

dazhen lin, donglin cao, hualin zeng(曾华琳). improving motion state change object detection by using block background context[j]. 2014 14th uk workshop on computational intelligence, ukci 2014(ei:20144900278214)

hualin zeng(曾华琳),changle zhou, xuling zheng, etc.a new word detection method for chinese based on local context information[j], journal of donghua university (english edition),2010(4): 189-192.(ei: 20104913448197)

xl zheng, cl zhou, hlzeng(曾华琳).song ci style automatic identification, journal of donghua university (english edition), 2010(4):181-184.

hualin zeng(曾华琳), changle zhou, xiaodong shi, etc. new word detection algorithm for chinese based on extraction of local context information[j], intelligent system and knowledge engineering, 2008. iske 2008. 3rd international conference on (volume:1 ): 797-801.(ei: 20090911922427)

曾华琳,李堂秋,史晓东. 一种基于提取上下文信息的分词算法[j],计算机应用,2005(9):2025-2027

曾华琳,郑旭玲,晁飞,陈毅东,李绍滋. 本科生参与智能机器人科研探索[j],计算机教育,2015(18):11-13

曾华琳, 陈毅东, 晁飞, 李绍滋, 周昌乐. 从经典到非经典——谈智能科学系专业课非经典计算[j], 计算机教育,2016(10):73-76


网站地图