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张以文


发表日期:2017-07-05 供稿:管理员

 安徽大学研究生导师简介

院(系、所):计算机科学与技术学院


 

姓名:张以文

性别:  男

出生年月: 19769

 

导师类别: 博导/硕导

技术职称: 教授

联系方式

zywahu@qq.com

招生专业名称

计算机应用技术、软件工程

主要研究方向

1. 服务计算与推荐系统

2. 大数据分析与可视化

3. 边缘计算与物联网服务

个人简历

    1999年安徽师范大学数学与计算机学院获得学士学位,2006年合肥工业大学计算机学院获得硕士学位,2013年合肥工业大学管理科学与工程获得博士学位。

学术成果

       张以文,博士,安徽大学计算机科学与技术学院教授、博士生导师,安徽大学青年骨干教师培养对象。现为CCF服务计算专委会委员、中国人工智能协会粒计算与知识发现专委会委员,ACM会员;曾任国际服务协会青年科学家论坛(SSYSF)中国区副主席等。在IEEE TSC、TSMC、ASC、KBS、IJWGS、IJAITICSOC、ICWS、计算机学报、软件学报、电子学报、计算机研究与发展、计算机集成制造系统等期刊和会议发表学术论文50余篇,主持国家自然科学基金面上项目、国家科技支撑计划子课题、教育人文社科青年基金和规划基金、安徽省自然科学基金、教育厅自然科学基金重点项目等10余项课题。担任TSC、TSMC、TNSM、TETC、IJWS、IJWSR、China Communications、计算机学报、通信学报等学术期刊审稿人,以及ICSOC、FiCloud、ICCC、NCSC、CBPM等国内外会议程序委员会宣传主席和委员等。申请国家发明专利10余项,软件著作权9项,荣获安徽省电子信息科技奖技术发明奖、教学成果二等奖。

近年来发表的部分学术论文成果如下:

[25] Yiwen Zhang, Lei Wu, Qiang He*, et al. Diversified Quality Centric Service Recommendation,IEEE International Conference on Web Services (ICWS 2019). (CCF B)

[24] Yiwen Zhang, Chunhui Yin, Qilin Wu*, et al. Location-aware Deep Collaborative Filtering for Service Recommendation, IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMC). 10.1109/TSMC.2019.2931723, 2019. (SCI)

[23] Yiwen Zhang, Kaibing Wang, et al. Covering-based Web Service Quality Prediction via Neighborhood-aware Matrix Factorization, IEEE Transactions on services computing (TSC), Acceppted in January 2019. (SCI)

[22] Yiwen Zhang, Guangming Cui, et al. Efficient Query of Quality Correlation for Service Composition [J]. IEEE Transactions on services computing (TSC), DOI:10.1109/TSC.2018.2830773, 2018. (SCI)

[21] Yiwen Zhang, yuanyuan zhou, et al. Self-Adaptive K-means based on Covering Algorithm [J]. Complexity, 2018. (SCI)

[20] Yi-wen Zhang, Yuan-yuan Zhou, Fu-tian Wang, et al. Service Recommendation based on Quotient Space Granularity Analysis and Covering Algorithm on Spark [J], Knowledge-Based Systems, Volume 147, 1 May 2018, Pages 25-35 (SCI)

[19] Yiwen ZHANG, Guangming CUI, et al. A Novel Multi-Scale Cooperative Mutation Fruit Fly optimization Algorithm [J]. Knowledge-Based Systems, 2016, 114:24-35.(SCI)

[18] Yiwen Zhang, Jin Li, et al. Efficient Dynamic Service Maintenance for Edge Services [J]. IEEE Access, 2018, 6(1):8829-8840 (SCI)

[17] Yiwen Zhang, Kaibin Wang, et al. Enhanced Adaptive Cloudlet Placement Approach for Mobile Application on Spark. Security and Communication Networks. 2018. (SCI)

[16] Yiwen ZHANG, Guangming CUI, et al. IFOA4WSC: A quick and effective algorithm for QoS-aware service composition [J]. International Journal of Web and Grid Services, 2016, 12(1):81-108. (SCI)

[15] Yiwen ZHANG, Guangming CUI, et al. AFOA: An Adaptive Fruit Fly Optimization Algorithm with Stable Global Optimizing Ability [J]. International Journal on Artificial Intelligence Tools. Vol. 25, No. 6 (2016) (SCI)

[14] Yiwen Zhang, Xiaofei Ai, et al. Personalized Quality Centric Service Recommendation[C]. 15th International Conference on Service-Oriented Computing (ICSOC 2017), pp 528-544. (CCF B, Full paper)(EI)

[13] Yiwen Zhang, Guangming Cui, et al. Alliance-aware Service Composition Based on Quotient Space [C]//Web Services (ICWS), 2016 IEEE International Conference on. IEEE, 2016: 340-347. (CCF B)(EI)

[12] Xing Guo, Jian Zhang,Wei Li and Yiwen Zhang*. A fruit fly optimization algorithm with a traction mechanism and its applications[J], International Journal of Distributed Sensor Networks, 2017, Vol. 13(11). (SCI)

[11] Xing Guo, Shanshan Chen, Yiwen Zhang*. Service Composition Optimization Method Based on Parallel Particle Swarm Algorithm on Spark. Security and Communication Networks 2017 (2017). (SCI)

[10] Yuanting Yan, Yanping Zhang, Jie Chen, Yiwen Zhang. Incomplete data classification with voting based extreme learning machine, Neurocomputing, 2016, http://dx.doi.org/10.1016/j.neucom.2016.01.068. (SCI)

[9] Yuanting Yan, Yanping Zhang, Yiwen Zhang, Xiuquan Du. A selective neural network ensemble classification for incomplete data, International Journal of machine learning and cybernetics, 2016, DOI: 10.1007/s13042-016-0524-0. (SCI)

[8] Yanping ZHANG, Zihui JING, Yiwen ZHANG*. MR-IDPSO: A Novel Algorithm for Large-scale Dynamic Service Composition[J], Tsinghua Science and Technology, online,2015,20(6):602-612. (SCI)

[7] Xing Guo, Shi-chao Yin, Yi-wen Zhang and Wei Li*. Proportional-Integral-Derivative Controller Parameter Optimization Based on Improved Glowworm Swarm Optimization Algorithm[J]. Int. J. Computing Science and Mathematics, 2017, accepted, EI.

[6] 张以文, 汪开斌, 严远亭, 陈洁, 何强. 基于覆盖随机游走算法的服务质量预测[J], 计算机学报,2018, 41(12):2756-2768.(EI)

[5] 张以文, 项涛, 郭星, 贾兆红, 何强. 基于SOM神经网络的服务质量预测[J]. 软件学报 , 2018, 29(11):3388-3399.(EI)

[4] 张以文, 崔光明, 严远亭, 赵姝, 张燕平. 任务粒化的质量约束感知服务组合[J]. 计算机研究与发展,2018,55(6):1345-1355(EI)

[3] 张以文,崔光明,郭星,张燕平.一种基于任务粒化的服务组合优化方法[J]. 电子学报,2018,46(1):245-251 (EI)

[2] 张以文,吴金涛,赵姝,唐杰. 基于改进烟花算法的Web服务组合优化. 计算机集成制造系统[J], 2016, 22(2):422-432. (EI)

[1] 张燕平,张顺,钱付兰,张以文. 基于用户声誉的鲁棒协同推荐算法[J];自动化学报, 2015,41(5): 1004-1012. (EI)

更多信息请参见:http://bigdata.ahu.edu.cn/

获奖情况

NCSC 2017 最佳论文奖

安徽省电子信息科技奖技术发明奖二等奖(排名1)

安徽省教学成果二等奖 (排名3)

在研项目

 1 国家自然科学基金面上项目,数据驱动的交互式和定制化服务链 

     推荐方法研究(61872002),2019.01-2022.12.

 2 安徽省自然科学基金,数据驱动的个性化服务推荐方法研究

  (1808085MF197),2018.1-2021. 12.

 3 基于大数据技术的煤矿瓦斯灾害预测预警技术与应用系统研发 ,

    平安煤矿瓦斯治理国家工程研究中心有限责任公司,

    2017/06-2018/12

基本要求:
(1)勤奋、踏实、有团队意识;
(2)有较好的编程能力。