个人简介

王红兵,工学博士,东南大学计算机科学与工程学院教授,博士生导师,中国计算机学会服务计算专业委员会常务委员,WIC China指导委员会成员。江苏省333工程、六大人才高峰培养对象。国际期刊International Journal of Services Computing编委。担任过十几个国际会议的程序委员,如:IEEE International Conference on Services Computing;IEEE International EDOC Conference;IEEE International Conference on Pervasive Services;IEEE International Conference on E-business Engineering。多个重要国际期刊审稿人,包括:Journal of System and Software;IEEE Transactions on Services Computing;IEEE Transactions on Knowledge and Data Engineering;IEEE Transactions on Parallel and Distributed Systems;IEEE Transactions on Fuzzy Systems;IEEE Transactions on Systems, Man, and Cybernetics。

 

教育科研经历

 

• 2013年5月~2013年6月,澳大利亚墨尔本皇家理工大学访问学者。

• 2009年4月~2010年3月,澳大利亚CSIRO ICT Center访问学者。

• 2008年3~4月,加拿大滑铁卢大学访问学者。

• 2003年曾赴香港大学作访问学者,与香港大学电子商务研究所开展合作研究。

 

2005年开始,作为项目负责人,主持过两项国家自然科学基金项目 “电子市场匹配模型与算法研究” (编号:60473091,2005.01-2007.12)和 “Web服务组合模型与算法 ”(编号:60673175,2007.01-2009.12),以上项目的合作研究单位是香港大学和University of Ontario Institute of Technology。

2013年开始,主持了国家自然科学基金重点项目 “基于服务组合的"系统的系统"软件机理与方法” (编号:61232007,2013.01-2017.12)。

2017年开始,主持国家自然科学基金面上项目 “服务系统在线可靠性预测方法及关键技术研究” (编号:61672152,2017.01-2020.12)和国家重点研发计划项目 “面向服务的群智化生态化软件开发方法与环境” (编号:2018YFB1003800,2018.07-2021.06,经费:1766万)。

此外,还主持和参加过国家级、省部级项目多项。通过以上项目的研究,在IEEE Transactions on Software Engineering,IEEE Transactions on Services Computing,ACM Transactions on Autonomous and Adaptive Systems,Journal of System and Software,Journal of Web Semantics,IEEE Transactions on Parallel and Distributed Systems,计算机学报,ICSOC,ICWS,SCC等重要期刊和重要国际会议均有论文发表。包括David Robertson等在内的多个知名研究组及IEEE TSC、TSE等著名期刊引用我们的工作。在Journal of Web Semantics发表的论文曾经23次入选该期刊 “最热门的25篇文章” ,其中有四次列在首位。我们设计并实现了国际上第一个WS-CDL执行引擎(http://wscomposition.seu.edu.cn),这项工作引起国际万维网组织的重视。WS-CDL执行引擎被国际上多个研究组索取、使用,包括万维网组织WS-CDL工作组(Steve Ross-Talbot)。爱丁堡大学智能研究中心主任David Robertson在IEEE TRANS.介绍了我们在WS-CDL执行引擎上的开创性工作。

近年来,我们在基于机器学习的服务系统组合和大规模服务系统质量保障方面取得的研究成果,被国际同行跟踪研究。

 

 

研究方向

 

主要研究方向为智能化软件方法与技术、人工智能及其应用、大数据计算、云计算、服务计算等。具体内容包括:研究深度学习、强化学习、多Agent系统等人工智能与机器学习技术如何解决智能软件系统构建与运行过程中遇到的各种实际问题(如系统自适应、系统可靠性时间序列预测、大规模系统运行质量监控与优化等),面向大数据的个性化搜索,大数据分析与处理,云计算资源分配与管理,云服务发现与选择,云服务组合,服务组合系统优化,大规模推荐系统等。


科研成果

著作

 

王红兵主编,服务计算应用开发技术,机械工业出版社(ISBN 978-7-111-28041-5)2009.08

 

软件著作权

 

WS-CDL+执行引擎软件,(软件著作权登记2008SR17996)

 

国家发明专利

 

• 一种web服务组合生成方法,已授权发明专利,201310693416.1,王红兵,邹彬

• 一种Web服务组合方法,已授权发明专利,201310687734.7,王红兵,陈鑫,吴琴,王玉文

• 一种基于定性和定量用户偏好选择可信web服务的方法,已授权发明专利,201310645566.5,王红兵,俞超

• 面向服务的需求分析方法,已授权发明专利,201310636447.3,王红兵,周书湘

• 一种基于可靠性预测与QoS相结合的服务组合方法,已授权发明专利,201310583125.7,王红兵,孙海霞

• 面向服务的系统中的质量动态预警方法,已授权发明专利,201310436762.1,万程,王红兵

• 基于多智能体强化学习的大规模服务组合优化方法,已受理发明专利,201310161238.8,王红兵,王晓珺

• 基于概率图模型的服务组件可靠性在线时间序列预测方法,已授权发明专利,201310141453.1,王红兵,王磊

• 一种用户偏好检索方法,已授权发明专利,201310041726.5,王红兵,王玉文,陈鑫,吴琴

• 基于用户偏好不完整和偏好冲突的web服务选择方法,已受理发明专利,201210328724.X,王红兵,孙文龙

• 基于因果图的分层强化学习任务图进化方法,已受理发明专利,201110369847.3,王红兵,周建才

• 面向复杂系统中的MAXQ任务图结构的自动发现方法,已授权发明专利,201110367593.1,王红兵,李文雅

 

主持在研项目

 

• 面向服务的群智化生态化软件开发方法与环境(国家重点研发计划项目,2018.07-2021.06,经费:1766万)

• 服务系统在线可靠性预测方法及关键技术研究(国家自然科学基金面上项目,2017.01-2020.12)


论文发表

期刊论文

 

1. Hongbing Wang, Yong Tao, Qi Yu, Xin Lin, Tianjing Hong: Incorporating both qualitative and quantitative preferences for service recommendation. J. Parallel Distrib. Comput. 114: 46-69 (2018).

2. Hongbing Wang, Lei Wang, Qi Yu, Zibin Zheng, Zhengping Yang: A proactive approach based on online reliability prediction for adaptation of service-oriented systems. J. Parallel Distrib. Comput. 114: 70-84 (2018).

3. Hongbing Wang, Danrong Yang, Qi Yu, Yong Tao: Integrating modified cuckoo algorithm and creditability evaluation for QoS-aware service composition. Knowl.-Based Syst. 140: 64-81 (2018).

4. Athman Bouguettaya, Munindar P. Singh, Michael N. Huhns, Quan Z. Sheng, Hai Dong, Qi Yu, Azadeh Ghari Neiat, Sajib Mistry, Boualem Benatallah, Brahim Medjahed, Mourad Ouzzani, Fabio Casati, Xumin Liu, Hongbing Wang, Dimitrios Georgakopoulos, Liang Chen, Surya Nepal, Zaki Malik, Abdelkarim Erradi, Yan Wang, M. Brian Blake, Schahram Dustdar, Frank Leymann, Michael P. Papazoglou: A service computing manifesto: the next 10 years. Commun. ACM 60(4): 64-72 (2017).

5. Hongbing Wang, Peisheng Ma, Qi Yu, Danrong Yang, Jiajie Li, Huanhuan Fei: Combining quantitative constraints with qualitative preferences for effective non-functional properties-aware service composition. J. Parallel Distrib. Comput. 100: 71-84 (2017).

6. Hongbing Wang, Hualan Wang, Guibing Guo, Yangyu Tang, Jie Zhang: Measuring similarity of users with qualitative preferences for service selection. Knowl. Inf. Syst. 51(2): 561-594 (2017).

7. Hongbing Wang, Bin Zou, Guibing Guo, Danrong Yang, Jie Zhang: Integrating Trust with User Preference for Effective Web Service Composition. IEEE Trans. Services Computing 10(4): 574-588 (2017).

8. Hongbing Wang, Lei Wang, Qi Yu, Zibin Zheng, Athman Bouguettaya, Michael R. Lyu: Online Reliability Prediction via Motifs-Based Dynamic Bayesian Networks for Service-Oriented Systems. IEEE Trans. Software Eng. 43(6): 556-579 (2017).

9. Hongbing Wang, Xin Chen, Qin Wu, Qi Yu, Xingguo Hu, Zibin Zheng, Athman Bouguettaya: Integrating Reinforcement Learning with Multi-Agent Techniques for Adaptive Service Composition. TAAS 12(2): 8:1-8:42 (2017).

10. Hongbing Wang, Xiaojun Wang, Xingguo Hu, Xingzhi Zhang, Mingzhu Gu: A multi-agent reinforcement learning approach to dynamic service composition. Inf. Sci. 363: 96-119 (2016).

11. Hongbing Wang, Xiaojun Wang, Xingzhi Zhang, Qi Yu, Xingguo Hu: Effective service composition using multi-agent reinforcement learning. Knowl.-Based Syst. 92: 151-168 (2016).

12. Hongbing Wang, Shizhi Shao, Xuan Zhou, Cheng Wan, Athman Bouguettaya: Preference recommendation for personalized search. Knowl.-Based Syst. 100: 124-136 (2016).

13. Hongbing Wang, Zuling Kang, Lei Wang: Performance-Aware Cloud Resource Allocation via Fitness-Enabled Auction. IEEE Trans. Parallel Distrib. Syst. 27(4): 1160-1173 (2016).

14. Hongbing Wang, Lei Wang, Qi Yu, Zibin Zheng: Learning the Evolution Regularities for Big Service-Oriented Online Reliability Prediction. IEEE Trans. Services Computing PP(99): 1-1 (2016).

15. Hongbing Wang, Chao Yu, Lei Wang, Qi Yu: Effective BigData-Space Service Selection over Trust and Heterogeneous QoS Preferences. IEEE Trans. Services Computing: 1-1 (2015).

16. Hongbing Wang, Jie Zhang, Cheng Wan, Shizhi Shao, Robin Cohen: Qualitative preference-based service selection for multiple agents. Web Intelligence and Agent Systems 11(3): 263-282 (2013).

17. Hongbing Wang, Zuling Kang, Ning Zhou, Li Li: A model checker for WS-CDL. Journal of Systems and Software 83(10): 1651-1661 (2010).

18. Hongbing Wang, Yifei Wang, Joshua Zhexue Huang: A self-learning framework for services selection. IJITM 9(1): 90-110 (2010).

19. Zuling Kang, Hongbing Wang, Patrick C. K. Hung: WS-CDL+ for web service collaboration. Information Systems Frontiers 9(4): 375-389 (2007).

20. Hongbing Wang, Joshua Zhexue Huang, Yuzhong Qu, Junyuan Xie: Web services: problems and future directions. J. Web Sem. 1(3): 309-320 (2004).

21. Hongbing Wang, Tiecheng Wang, Junyuan Xie: An intelligent communication model between buyers and suppliers. Chinese Journal of Computers. 26(9): 1190-1195 (2003).

 

会议论文

 

1. Hongbing Wang, Mingzhu Gu, Qi Yu, Huanhuan Fei, Jiajie Li, Yong Tao: Large-Scale and Adaptive Service Composition Using Deep Reinforcement Learning. ICSOC 2017: 383-391.

2. Hongbing Wang, Zhengping Yang, Qi Yu: Online Reliability Prediction via Long Short Term Memory for Service-Oriented Systems. ICWS 2017: 81-88.

3. Shunshun Peng, Hongbing Wang, Qi Yu: Estimation of Distribution with Restricted Boltzmann Machine for Adaptive Service Composition. ICWS 2017: 114-121.

4. Hongbing Wang, Xingzhi Zhang, Qi Yu: Integrating POMDP and SARSA(λ) for Service Composition with Incomplete Information. ICSOC 2016: 677-684.

5. Hongbing Wang, Guicheng Huang, Qi Yu: Automatic Hierarchical Reinforcement Learning for Efficient Large-Scale Service Composition. ICWS 2016: 57-64.

6. Hongbing Wang, Qin Wu, Xin Chen, Qi Yu: Integrating Gaussian Process with Reinforcement Learning for Adaptive Service Composition. ICSOC 2015: 203-217.

7. Qi Yu, Hongbing Wang, Liang Chen: Learning Sparse Functional Factors for Large-Scale Service Clustering. ICWS 2015: 201-208.

8. Hongbing Wang, Bin Zou, Guibing Guo, Jie Zhang, Zhengping Yang: Optimal and Effective Web Service Composition with Trust and User Preference. ICWS 2015: 329-336

9. Hongbing Wang, Suxiang Zhou, Qi Yu: Discovering Web Services to Improve Requirements Decomposition. ICWS 2015: 743-746.

10. Hongbing Wang, Lei Wang, Chao Yu: Integrating Trust with Qualitative and Quantitative Preference for Service Selection. IEEE SCC 2014: 299-306.

11. Hongbing Wang, Xin Chen, Qin Wu, Qi Yu, Zibin Zheng, Athman Bouguettaya: Integrating On-policy Reinforcement Learning with Multi-agent Techniques for Adaptive Service Composition. ICSOC 2014: 154-168

12. Hongbing Wang, Qin Wu, Xin Chen, Qi Yu, Zibin Zheng, Athman Bouguettaya: Adaptive and Dynamic Service Composition via Multi-agent Reinforcement Learning. ICWS 2014: 447-454

13. Hongbing Wang, Cheng Wan: Quality Failure Prediction for the Self-Healing of Service-Oriented System of Systems. ICWS 2014: 566-573.

14. Hongbing Wang, Lei Wang, Qi Yu, Zibin Zheng: A Novel Online Reliability Prediction Approach for Service-Oriented Systems. ICWS 2014: 582-589

15. Zuling Kang, Hongbing Wang: A Novel Approach to Allocate Cloud Resource with Different Performance Traits. IEEE SCC 2013: 128-135

16. Hongbing Wang, Haixia Sun, Qi Yu: Reliable Service Composition via Automatic QoS Prediction. IEEE SCC 2013: 200-207.

17. Hongbing Wang, Xiaojun Wang: A Novel Approach to Large-Scale Services Composition. APWeb 2013: 220-227.

18. Hongbing Wang, Xiaojun Wang, Qi Yu: Optimal Self-Healing of Service-Oriented Systems with Incomplete Information. BigData Congress 2013: 227-234.

19. Lei Wang, Hongbing Wang, Qi Yu, Haixia Sun, Athman Bouguettaya: Online Reliability Time Series Prediction for Service-Oriented System of Systems. ICSOC 2013: 421-428.

20. Qi Yu, Zibin Zheng, Hongbing Wang: Trace Norm Regularized Matrix Factorization for Service Recommendation. ICWS 2013: 34-41.

21. Hongbing Wang, Peisheng Ma, Xuan Zhou: A Quantitative and Qualitative Approach for NFP-Aware Web Service Composition. IEEE SCC 2012: 202-209.

22. Hongbing Wang, Xiaojun Wang, Xuan Zhou: A Multi-agent Reinforcement Learning Model for Service Composition. IEEE SCC 2012: 681-682.

23. Hongbing Wang, Xuan Zhou, Wujin Chen, Peisheng Ma: Top-k retrieval using conditional preference networks. CIKM 2012: 2075-2079

24. Hongbing Wang, Jie Zhang, Wenlong Sun, Hongye Song, Guibing Guo, Xiang Zhou: WCP-Nets: A Weighted Extension to CP-Nets for Web Service Selection. ICSOC 2012: 298-312.

25. Hongbing Wang, Wenya Li, Xuan Zhou: Automatic Discovery and Transfer of MAXQ Hierarchies in a Complex System. ICTAI 2012: 1157-1162

26. Hongbing Wang, Jiancai Zhou, Xuan Zhou: Causal Graph Based Dynamic Optimization of Hierarchies for Factored MDPs. Web Intelligence 2012: 579-582

27. Hongbing Wang, Jie Zhang, Hualan Wang, Yangyu Tang, Guibing Guo: Service Selection Based on Similarity Measurement for Conditional Qualitative Preference. Web Intelligence 2012: 612-619.

28. Hongbing Wang, Jie Zhang, Yangyu Tang, Shizhi Shao: Collaborative Approaches to Complementing Qualitative Preferences of Agents for Effective Service Selection. ICTAI 2011: 51-58

29. Hongbing Wang, Weihong Liu: Web Service Selection with Quantitative and Qualitative User Preferences. Web Intelligence 2011: 404-411.

30. Hongbing Wang, Qianzhao Zhou, Yanqi Shi: Describing and Verifying Web Service Composition Using TLA Reasoning. IEEE SCC 2010: 234-241

31. Weihong Liu, Hongbing Wang: An Approach to Estimate Schema Quality of Web Service Composition. Web Intelligence/IAT Workshops 2010: 406-409.

32. Hongbing Wang, Xuan Zhou, Xiang Zhou, Weihong Liu, Wenya Li, Athman Bouguettaya: Adaptive Service Composition Based on Reinforcement Learning. ICSOC 2010: 92-107.

33. Hongbing Wang, Yanqi Shi, Xuan Zhou, Qianzhao Zhou, Shizhi Shao, Athman Bouguettaya: Web Service Classification Using Support Vector Machine. ICTAI (1) 2010: 3-6.

34. Hongbing Wang, Xuan Zhou, Xiang Zhou, Weihong Liu, Wenya Li: Adaptive and Dynamic Service Composition Using Q-Learning. ICTAI (1) 2010: 145-152.

35. Hongbing Wang, Xiaohui Guo: An Adaptive Solution for Web Service Composition. SERVICES 2010: 503-510.

36. Hongbing Wang, Jie Zhang, Cheng Wan, Shizhi Shao, Robin Cohen, Junjie Xu, Peicheng Li: Web Service Selection for Multiple Agents with Incomplete Preferences. Web Intelligence 2010: 565-572.

37. Hongbing Wang, Xiaohui Guo: Preference-Aware Web Service Composition Using Hierarchical Reinforcement Learning. Web Intelligence/IAT Workshops 2009: 315-318.

38. Hongbing Wang, Shizhi Shao, Xuan Zhou, Cheng Wan, Athman Bouguettaya: Web Service Selection with Incomplete or Inconsistent User Preferences. ICSOC/ServiceWave 2009: 83-98.

39. Hongbing Wang, Cheng Wan, Yan Liu: A Logic-Based Approach to Web Services Composition and Verification. SERVICES II 2009: 103-110.

40. Zuling Kang, Hongbing Wang: Verifying WS-CDL-Based Web Services Collaboration by Model Checking. SERVICES I 2009: 554-561.

41. Hongbing Wang, Li Li, Cheng Wan, Zuling Kang, Dongxi Liu, Jemma Wu, Athman Bouguettaya: Logic-based verification for Web services composition with TLA. SOCA 2009: 1-8.

42. Hongbing Wang, Junjie Xu, Peicheng Li: Incomplete Preference-driven Web Service Selection. IEEE SCC (1) 2008: 75-82

43. Hongbing Wang, Hui Liu, Xiaohui Guo: An Efficient Approach to Compose Web Services. Web Intelligence/IAT Workshops 2008: 538-541

44. Hongbing Wang, Pingping Tang: Preference-Aware Web Service Composition by Reinforcement Learning. ICTAI (2) 2008: 379-386

45. Hongbing Wang, Hui Liu, Xiaohui Guo: Specify and Compose Web Services by TLA. ICWS 2008: 766-767

46. Hongbing Wang, Pingping Tang, Patrick C. K. Hung: RLPLA: A Reinforcement Learning Algorithm of Web Service Composition with Preference Consideration. SERVICES II 2008: 163-170.

47. Wan Cheng, Hongbing Wang: Web Service decision-making model based on uncertain-but-bounded attributes. IEEE SCW 2007: 81-86.

48. Wan Cheng, Hongbing Wang: Uncertainty-aware QoS Description and Selection Model for Web Services. IEEE SCC 2007: 154-161.

49. Hongbing Wang, Ping Tong, Phil Thompson: QoS-Based Web Services Selection. ICEBE 2007: 631-637.

50. Zuling Kang, Hongbing Wang, Patrick C. K. Hung: WS-CDL+: An Extended WS-CDL Execution Engine for Web Service Collaboration. ICWS 2007: 928-935.

51. Hongbing Wang, Hui Liu, Cheng Wan, Patrick C. K. Hung: A New Approach to Describe Web Services. Web Intelligence 2007: 568-571.

52. Yifei Wang, Hongbing Wang, Xun Xu: Web Services Selection and Composition based on the Routing Algorithm. EDOC Workshops 2006: 69.

53. Hongbing Wang, Yifei Wang, Joshua Zhexue Huang, Xun Xu: SLF4SS: Facilitating Flexible Services Selection. IAT Workshops 2006: 312-315.

54. Hongbing Wang, Yifei Wang, Zongwei Luo, Xun Xu: A Solution to Intelligent Services Selection. International Conference on Next Generation Web Services Practices 2006: 155-162.

55. Zuling Kang, Hongbing Wang: Implementation and Application of Ontology Databases with User-Defined Rules (UDR) Supported. SKG 2005: 82.

56. Yifei Wang, Hongbing Wang, Xun Xu: Web Services Scheduling: Binding the Cost with the Time. SKG 2005: 141.

57. Hongbing Wang, Yuzhong Qu, Junyuan Xie: The Anatomy of Web Services. GCC (1) 2003: 1063-1066.

 

详细论文发表情况可参考DBLP:http://dblp.uni-trier.de/pers/hd/w/Wang:Hongbing


联系方式

招生要求

 

• 研究生:每年招收若干名研究生。希望进入本实验室的同学需要具有较好的数学和计算机基础,程序设计和英语写作能力较强。

• 博士生:每年按计划招收1-2名博士生。

欢迎符合上述条件的同学与我们联系,并期待你的加入!

 

人才需求

 

• 青年教师:诚邀国内外对服务计算、云计算、大数据计算有兴趣的博士加入研究团队!

• 博士后:每年按计划招收2名,欢迎国内外对服务计算、云计算、大数据计算有兴趣的青年博士!

 

联系方式

 

电子邮箱:hbw@seu.edu.cn

办公电话:(025) 5209 0861

通讯地址:江苏省南京市江宁区 东南大学(九龙湖校区)计算机科学与工程学院 邮编:211189