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张顺香 教授、硕士生/博士生导师介绍
2023-02-21 17:45  

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一、个人基本情况

张顺香,男,汉族,教授,博士生导师,九三学社社员。安徽省教学名师,国际期刊IJCSE的副主编,Connection Science期刊编委,多个国际期刊、国际会议的审稿人, 国家自然科学基金的评审人,校第四批学科带头人,第五批学科方向带头人。主要研究领域包括Web智能信息处理、文本挖掘与情感计算、复杂网络分析。主持国家级项目2项,安徽省省属高校协同创新项目1项,安徽省科技厅重点项目2项、安徽高校拔尖人才项目1项,安徽省教育厅自然科学研究重点项目1项、上海交通大学开放基金1项。作为研究骨干,参与国家自然科学基金项目多项,包括2项国家基金,1项重大研究计划培育项目。主编计算机专业课程教材《操作系统(规划教材)》。研究成果在IEEE Transactions on Neural Networks and Learning Systems, Future Generation Computer Systems, IEEE Trans. Industrial Informatics, Mobile Networks & Applications, Cluster Computing, World Wide Web Journal,Concurrency and Computation: Practice and Experience等国际期刊、领域较重要的国际会议以及国内核心期刊发表80余篇,被SCIEI检索近60篇,授权发明专利近10项。

二、教育情况:

博士学位(2008-2012),上海大学银河电子在线首页计算机应用技术

硕士学位(2001-2004),贵州大学计算机学院计算机应用技术

学士学位(1993-1997),山东科技大学数学系计算数学及其应用软件

三、教学情况:

1、操作系统

2、软件系统与工程

3、搜索引擎技术基础

四、主要研究方向:

1Web智能信息处理

2、文本挖掘与情感计算

3、复杂网络分析

五、承担的科研与教学项目:

1、安徽省属高校协同创新项目,多模态社交媒体内容情感与立场分析(编号:GXXT-2021-008),2021---2023年,在研,主持;

2、国家自然科学基金面上项目,情感-时序-语义三维空间下微博热点话题用户群体倾向性分析(编号:62076006),2021---2024年,在研,主持;

32020国家外国专家人才类项目,基于用户评论深度情感分析的电子商务决策支持基础理论,(编号:******),主持;

4、安徽省自然科学基金面上项目,基于用户群体情感分析的微博话题知识图谱自动构建关键技术研究(编号:1908085MF189),2019---2020年,在研,主持;

52109年度省级引进境外人才项目计划(编号:******),主持;

62018安徽高校拔尖人才培育项目,(编号:gxbjZD15)2018---2019年,10万元,已结题,主持;

7、安徽省教育厅自然科学基金重点项目,面向知识发现的网络信息关联语义分层组织模型,KJ2015A111,2015.07-2017.07,已结题,主持;

8、安徽省科技厅自然科学基金重点项目,关联语义链网络的特征分析及应用研究,1308085MF942013.07-2015.07,已结题,主持;

9、上海市信息安全综合管理技术研究重点实验室(上海交通大学)开放课题,基于关联语义的网络信息内容可信性分析模型,AGK20130022013.6-2015.07,已结题,主持;

10、安徽理工大学博士基金项目,基于特征分析的关联语义链网络语义服务模型研究,2013.05-2015.05,已结题,主持;

11、安徽省教育厅自然科学研究项目,基于OO3D模型数字城市的可视化研究,2005kj0852005.1-2007.12,已结题,主持;

12、参与国家自然科学基金面上项目,大规模网络资源环境下基于关联知识流的Web知识供给模式及其应用研究,610711102011.01-2013.12,核心骨干,已结题;

13、参与国家自然科学基金青年基金,基于协同和网络交互计算的信息获取方法研究, 610032492011.01-2013.12,核心骨干,已结题;

14、参与国家自然科学基金青年基金,基于期望模型的网络服务协同约束方法研究,608031432009.1-2011.12,核心骨干,已结题;

15、主持线上课程,操作系统,(编号:2020mooc115);

16、主持安徽理工大学校级重大教学改革项目,新形势下计算机专业核心课程体系构建及教学方法研究,校发规〔20138号文,已结题;

17、省级质量工程项目,计算机科学与技术特色专业(2011),负责人,已结题;

六、主要荣誉:

12021中国大学生服务外包创新创业大赛,指导教师,A类二等奖,学生:吴厚月等;

22021 RoboCup机器人世界杯中国赛,RoboCup救援仿真组,国家级一等奖(季军);学生:刘俊俊等;

32019安徽省教学名师;

42019“兆易创新杯第十四届中国研究生电子设计竞赛商业计划书专项赛初赛优秀指导教师;

52018安徽省高校物联网应用创新大赛,优秀指导教师;

62018安徽省计算机学会优秀硕士学位论文指导教师,学生:张世尧;

72018安徽省普通高等学校品学兼优毕业生指导教师,学生:王银;

82016 安徽理工大学师德先进个人;

92010ICWL国际会议优秀组织奖;

102007安徽理工大学优秀教师。

七、主要学术兼职:

1、国际期刊Journal of Computational Science and Engineering副主编;

2、国际期刊Connection Science期刊编委;

32015Special Issue on:“Technologies and Applications in the Big Data Era” Guest Editor.

八、出版论著及专利成果:

1. Shunxiang, Zhang; Aoqiang, Zhu; Guangli, Zhu; Zhongliang, Wei; KuanChing, Li. Building Fake Review Detection Model Based on Sentiment Intensity and PU Learning. IEEE Transactions on Neural Networks and Learning Systems, p 1-14, 2023(中科院1). https://ieeexplore.ieee.org/document/10016285

2.Zhang, S., Zhao, T., Wu, H., Zhu, G., Li, K.: TS-GCN : Aspect-level Sentiment Classification Model for Consumer Reviews. Computer Science and Information Systems, Vol. 20, No. 1, 117–136. (2023), https://doi.org/10.2298/CSIS220325052Z

3.Shunxiang Zhang,Hanqing Xu,Guangli Zhu,Xiang Chen,Kuan-Ching Li:A data processing method based on sequence labeling and syntactic analysis for. extracting new sentiment words from product reviews. Soft Computing. 26(2):853-866, (2022).

4.Shunxiang Zhang, Hongbin Yu, Guangli Zhu. An emotional classification method of Chinese short comment text based on ELECTRA. Connection Science. (2022),34(1): 254-273.

5.Shunxiang ZhangZhaoya HuGuangli ZhuMing Jin and Kuan-Ching Li. Sentiment classification model for Chinese micro-blog comments based on key sentences extraction. Soft Computing vol.25,p.463-476, 2021.

6. Guangli Zhu, Pan Zhuangzhuang, Wang Qiaoyun, Zhang Shunxiang and Li Kuan-Ching. Building multi-subtopic Bi-level network for micro-blog hot topic based on feature Co-Occurrence and semantic community division. Journal of Network and Computer Applications (2020),170: 102815.

7. Xu, Shanshan;Zhang, Shunxiang.Sentiment Analysis of Film Reviews Based on Semantic Rules and Extended Domain Sentiment Dictionary. ATCI 2019-Applications and Techniques in Cyber Intelligence.

8. Yin, Xiaobo;Zhang, Shunxiang; Xu, Hui.Node Attributed Query Access Algorithm Based on Improved Personalized Differential Privacy Protection in Social Network.v 26, n 3, p 165-173, September 1, 2019.

9. Shunxiang Zhang, Hongze Zhu and · Zheng Xu.The extraction method of new logining word/term for social media based on statistics and N-increment.Journal of Ambient Intelligence and Humanized Computing, ttps://doi.org/10.1007/s12652-017-0638-6,Online.

10. Shunxiang Zhang, Zhongliang Wei, Yin Wang, Tao Liao.Sentiment analysis of Chinese micro-blog text based on extended sentiment dictionary. Future Generation Computer Systems(JCR-1, 000423652200035)81:395-403, 2018.

11.Shunxiang Zhang, Wenjuan Liu, XiaoLu Deng, Zheng Xu, Kim-Kwang Raymond Choo. Micro-blog topic recommendation based on knowledge flow and user selection. Journal of Computational Science, 26:512-521,2018.(000438001600050)

12. Zheng Xu,Shunxiang Zhang*, Kim-Kwang Raymond Choo, Lin Mei, Xiao Wei, Xiangfeng Luo, Chuanping Hu, Yunhuai Liu. Hierarchy-Cutting Model Based Association Semantic for Analyzing Domain Topic on the Web, IEEE Trans. Industrial Informatics(JCR-1),13(4): 1941-1950, 2017.

13.Zhang Shunxiang, Zhang Shiyao, Yen Neil Y., Zhu Guangli.The recommendation system of Micro-blog topic based on user clustering, MOBILE NETWORKS & APPLICATIONS (JCR-1), 22(2): 228-239, 2017.

14.Zhang Shunxiang, Kui Lu, Xiaobo Yin and Guangli Zhu.A Rapid Mining Model for Extracting Sparse Distribution Association Semantic Link from Large-scale Web Resources,International Journal of Ad Hoc and Ubiquitous Computing. 25(1):52-64, 2017.

15.Shunxiang Zhang, Xiaobo Yin and Congna He. The Automatic Estimating Method of the In-degree of Nodes in Associated Semantic Network Oriented Big Data. Cluster Computing, 19(4):1895–1905, 2016.

16.Zhang Shunxiang; Wang, Yin; Liu, Weidong; Yin, Xiaobo. A Model for Estimating Out-degree of Nodes in Associated Semantic Network from Semantic Feature View. Concurrency and Computation-Practice & Experience, 28(15):4177-4193, 2016.

17.Shunxiang Zhang, Yin Wang, Shiyao Zhang, and Guangli Zhu. Building Associated Semantic Representation Model for the Ultra-short Microblog Text Jumping in Big Data. Cluster Computing, 19(3):1399-1410, 2016.

18.Zhang Shunxiang, Luo Xiangfeng, Xuan juanyu et al. Generating Associated Knowledge Flow in Large-scale Web Pages for Semantic Browsing Services. Computer Systems Science and Engineering, 30(5):377-389 , 2015. (SCI/EI Journal)

19.Zhang Shunxiang, Luo Xiangfeng*, Xuan juanyu et al. Discovering Small-World in Association Link Networks For Web Resources Learning. World Wide Web Journal, 17(2):229-254, 2014. (SCI/EI Journal, 000330769100004)

20.Xu, Zheng; Luo, Xiangfeng;Zhang, Shunxiang; Wei, Xiao; Mei, Lin; Hu, Chuanping. Mining temporal explicit and implicit semantic relations between entities using web search engines, Future Generation Computer Systems, 37:468-477, 2014. (SCI Journal, 000337931200045)

21.Chen Xue, LuoXiangfeng, Zhang, ShunXiang and Xu zheng. Analysis and modeling of the semantically associated network on the web. Concurrency Computation Practice and Experience, vol.22, no.7, pp. 767-787,2010.

22.Zhang, Shunxianget al. Mining Conflict Semantic from Drug Dataset for Detecting Drug Conflict. International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 9(3):87-104. 2015 (EI Journal)

23.Zhang, Shunxianget al. A Dynamic Window Split-Based Approach for Extracting Professional Terms from Chinese Courses. International Journal of Computational Science and Engineering, online publishing. 2015 (EI Journal).

24.Zhu Guangli, He Congna,Zhang, Shunxianget al. Weighted Indication-based Similar Drug Sensing. International Journal of Software Science and Computational Intelligence, 7(1): 75-89, 2015.

25.Zhang, Shunxiang; Zhou, Pingyi; Liu, Zekun; Xu, Zheng. Extracting low-density and valuable association semantic link from domain news. Lecture Notes in Electrical Engineering, v 309 LNEE, p 349-354, 2014, Future Information Technology(EI号:20142517849455)

26.Zhang Shunxiang, Luo Xiangfeng, Xuan juanyu et al. Discovering Small-World in Association Link Networks For Web-based Learning. ACM MTDL 2011, pp.19-24, Scottsdale, AZ, USA,2011. (EI号:20120214666869)

27.Zhang Shunxiang, Luo Xiangfeng, Zhang Wensheng, Yu jie and Xu WeiMin. Building associated semantic overlay for discovering associated services. In: 6th International Conference on Intelligent Computing, ICIC 2010, vol.6215 LNCS, pp.392-398, Hefei, 2010. (EI号:20104313332442)

28.Shunxiang Zhang, Xiangfeng Luo, Jinjun Chen, Zheng Xu, Jie Yu and Weimin, Xu. Measuring Knowledge Delivery Quantity of Associated Knowledge Flow. In: Proceedings of the 4th International Conference on Semantics, Knowledge, and Grid, SKG 2008, pp.117-124, Beijing, 2008. (EI号:20090911934000)

29. 张顺香,吴厚月,朱广丽,许鑫,苏明星.面向中文文本分类的字符级对抗样本生成方法.电子与信息学报,2022,44,网络首发.

30. 张顺香,赵彤,朱广丽等.基于截断历史注意力的商品评论属性词抽取框架[J],太原理工大学学报,2022,53(2): 231-239.

31. 张顺香,张镇江,朱广丽,赵彤,黄菊.基于Bi-LSTM与双路CNN的金融领域文本因果关系识别.数据分析与知识发现,2022,(7):118-127.

32. 张梦瑶,朱广丽,张顺香,张标.基于情感分析的微博热点话题用户群体划分模型.数据分析与知识发现,2021,(2):43-49.

33. 尹畅,张顺香,朱广丽,张标.基于词频-极性强度的抑郁症情感词挖掘方法.太原理工大学学报,2021,53(1):105-110.

34. 张顺香,朱广丽. 基于Web挖掘的主页多主题更新模型.计算机应用,卷29,10, pp.2796-2798, 2815,2009

35.张顺香,朱广丽. 一种基于平均寻道时间的磁盘调度优化算法.计算机应用,卷29,4, pp.1147-1150, 2815,2009

36.张顺香,朱广丽. MFC应用程序拆分窗口的同步更新方法研究.计算机工程与科学,卷30, 9, pp. 35-36,40,2008

37.张顺香;朱广丽;一类典型问题的探究式教学设计.计算机教育,201414

38.张顺香,张家精编.操作系统[M]. 武汉:武汉大学出版社,60万字,2007

九、联系方式:

通讯地址:安徽省淮南市舜耕路168号安徽理工大学计算机学院,232001

电子信箱:86281020@qq.com


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