王健 (滚球体育app 软件工程系 智能化软件与服务研究所 )

 王健
  • 姓名:   王健
  • 主页:  
  • 性别:  
  • 职称:  副教授 (硕导)
  • 学历学位:  博士
  • 电话:  68776057
  • 办公地点:  E310
  • E-mail:  jianwang ▇ whu.edu.cn 请手工替换符号
  • 领域:  面向服务的软件工程,人工智能,软件工程,云计算与大数据处理
  • 招生信息:  年度招收硕士2名,招收方向:软件工程(学硕),软件工程(专硕)。 招收博士0名,招收方向:。

主要从事服务计算和软件工程方向的研究工作。

2008年6月,滚球体育app,软件工程国家重点实验室,获博士学位
2005年6月,贵州大学,计算机科学与工程滚球体育app,获硕士学位
2002年6月,济南大学,信息滚球体育app,获学士学位

2008年7月至今,滚球体育app,滚球体育app,讲师
2014年1月至2015年1月,加拿大多伦多大学,信息滚球体育app,访问学者

软件工程
需求工程

软件架构设计

(注:*代表通讯作者)

[1] Neng Zhang, Jian Wang*, and Yutao Ma, “Mining Domain Knowledge on Service Goals from Textual Service Descriptions,” IEEE Transactions on Services Computing, 2020, 13(3), 488-502.

[2] Yutao Ma, Xiao Geng, and Jian Wang*. A Deep Neural Network with Multiplex Interactions for Cold-Start Service Recommendation. IEEE Transactions on Engineering Management, 2019. DOI: 10.1109/TEM.2019.2961376.

[3] Neng Zhang, Jian Wang*, Yutao Ma, Keqing He, Zheng Li, Xiaoqing (Frank) Liu, Web Service Discovery Based on Goal-Oriented Query Expansion, Journal of Systems and Software, Vol. 142, 2018, pp. 73-91.  

[4] Ruibin Xiong, Jian Wang*, Zhongqiao Li, Bing Li, Patrick C.K. Hung. Personalized LSTM Based Matrix Factorization for Online QoS Prediction, In Proc. of 2018 IEEE International Conference on Web Services (ICWS), pp. 34-41. 

[5] Xiuqing Chen, Bing Li*, Jian Wang*, Yuqi Zhao, Yiming Xiong. Integrating EMD with Multivariable LSTM for Time Series QoS Prediction,  In Proc. of 2020 IEEE International Conference on Web Services (ICWS),  2020.

[6] Neng Zhang, Jian Wang*, Keqing He, Zheng Li, and Ying Huang, “Mining and Clustering Service Goals for RESTful Service Discovery,” Knowledge and Information Systems (KAIS), 2019, 58(3), pp. 669-700. 

[7] Ruibin Xiong, Jian Wang*, Neng Zhang, Yutao Ma, Deep Hybrid Collaborative Filtering for Web Service Recommendation, Expert Systems With Applications, Vol. 110, 2018, pp. 191-205. 

[8] Fang Xie, Jian Wang*, Ruibin Xiong, Neng Zhang, Yutao Ma, Keqing He, An integrated service recommendation approach for service-based system development, Expert Systems with Applications Vol. 123, 2019, pp. 178-194. 

[9] Jian Wang, Zejin Zhu, Junju Liu, Chong Wang, Youwei Xu, An Approach of Role Updating in Context-Aware Role Mining, International Journal of Web Services Research (IJWSR), 14(2), 2017, pp. 24-44. 

[10] Jian Wang, Panpan Gao, Yutao Ma, Keqing He, Patrick C.K. Hung, A Web Service Discovery Approach Based on Common Topic Groups Extraction, IEEE Access, 2017, 5, pp. 10193-10208. 

[11] Jian Wang, Zaiwen Feng, Jia Zhang, Patrick C. K. Hung, Keqing He, and Liang-Jie Zhang, A Unified RGPS-Based Approach Supporting Service-Oriented Process Customization, in Web Services Foundations (book chapter), pp.657-682, Springer, 2014.

[12] Gang Tian, Jian Wang*, Keqing He, Chengai Sun, Yuan Tian, Integrating Implicit Feedbacks for Time-aware Web Service Recommendations, Information Systems Frontiers, 19 (1), 2017, pp. 75–89.  

[13] Jianxiao Liu, Feng Liu, Xiaoxia Li, Keqing He, Yutao Ma, Jian Wang*, Web service clustering using relational database approach,International Journal of Software Engineering and Knowledge Engineering(IJSEKE). 25(8), 2015. pp. 1365–1393. 

[14] Zheng Li, Keqing He, Jian Wang*, Neng Zhang, An On-demand Services Discovery Approach Based on Topic Clustering, Journal of Internet Technology, 15(4), 2014, pp. 543-556. 

[15] Gang Tian, Jian Wang*, Keqing He, Chengai Sun, Leveraging Auxiliary Knowledge for Web Service Clustering, Chinese Journal of Electronics, 25(5), pp. 858-865, 2016. 

[16] Jia Zhang, Jian Wang, Patrick C.K. Hung, Zheng Li, Neng Zhang, Keqing He, Leveraging Incrementally Enriched Domain Knowledge to Enhance Service Categorization, International Journal of Web Services Research (IJWSR), 9(3), pp. 43-66, 2012. 

[17] Keqing He, Jian Wang, Peng Liang, Towards Semantic Interoperability Aggregation in Service Requirements Refinement, Journal of Computer Science and Technology, 2010, 25(6), pp.1103-1117. 

[18] Jianxiao Liu, Keqing He, Jian Wang, Feng Liu, Xiaoxia Li. Service Organization and Recommendation Using Multi-granularity Approach, Knowledge-Based Systems,Vol.73, 2015, pp.181-198.

[19] Huanyu Cheng, Ming Zhong, Jian Wang, Diversified Keyword Search based Web Service Composition, Journal of Systems and Software, Vol. 163, 110540, 2020.

[20] Liang Hong, Lei Zou, Cheng Zeng, Luming Zhang, Jian Wang and Jilei Tian. Context-aware Recommendation Using Role-based Trust Network. ACM Transactions on Knowledge Discovery from Data (TKDD), Vol. 10, No. 2, 2, Article 13: 1-25, 2015. 

[21] Arnon Sturm, Daniel Gross, Jian Wang, Eric Yu, Means-Ends based Know-how Mapping, Journal of Knowledge Management, 21(2), pp. 1-20. 

[22] Gang Tian, Qibo Wang, Jian Wang*, Keqing He, Weidong Zhao, Panpan Gao, Yanjun Peng, Leveraging Contextual Information for Cold-start Web Service Recommendation, Concurrency and Computation: Practice and Experience, 2019.

[23] Jian Wang, Neng Zhang, Cheng Zeng, Zheng Li, Keqing He. Towards Services Discovery based on Service Goal Extraction and Recommendation. Proc. of the 10th International Conference on Services Computing, 2013, pp.65-72.

[24]Jian Wang, Cheng Zeng, Chuan He, Liang Hong, Liang Zhou, Raymond K. Wong, Jilei Tian, “Context-Aware Role Mining for Mobile Service Recommendation”, Proc. of the 27th Annual ACM Symposium on Applied Computing (SAC 2012), Riva del Garda, Italy, 2012, pp.492-497. 

[25] 刘建晓,何克清,王健*,余敦辉,冯在文,宁达,张秀伟,“RGPS制导的按需服务组织与推荐方法”,计算机学报,36(2), pp.238-251, 2013.



[1]国家自然科学基金课题,“领域知识驱动的按需服务发现关键技术研究”(No.61202031),课题主持。
[2]国家科技支撑计划课题,“监控视频语义感知和服务系统研发及应用示范”(No. 2012BAH07B01),子课题负责人。
[3]湖北省自然科学基金面上项目,“基于需求知识抽取与组织的服务推荐研究”,(No. 2018CFB511),课题主持

CCF、IEEE 和ACM会员,CCF服务计算专委会委员,国际服务学会青年科学家论坛(中国)2015-2016副主席,CCF YOCSEF武汉委员。
担任IEEE TSC、TON、TSMC-C、JSS、软件学报、计算机学报等期刊审稿人,国际会议IEEE SCC 2015 Track Chair,IEEE ICWS/SCC/Cloud/Bigdata 2014 Publicity Chair,SCC、BigData Congress、Cloud等国际会议程序委员会委员。

[1] 2009年,湖北省优秀博士学位论文奖。
[2] 2011年,湖北省科技进步奖一等奖,第三完成人,“面向服务的软件互操作性关键技术及其ISO标准化”。
[3] 2015年,湖北省科技进步奖一等奖,第五完成人,“支撑大型企业云管理的软件服务化关键技术、国际标准、平台及应用”。
[4] 2014年,中国计算机学会科技进步一等奖,第七完成人。“云计算中软件服务化的关键技术、国际标准、平台及应用”。

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