個人簡介
王紅兵，工學博士，bet356手机版唯一官网登录教授，博士生導師，中國計算機學會服務計算專業委
員會常務委員，WICChina指導委員會成員。江蘇省333工程、六大人才高峰培養對象。國際期刊International
Journal of Services Computing編委。擔任過十幾個國際會議的程序委員，如：IEEE International Conference
on Services Computing；IEEE International EDOC Conference；IEEE International Conference on Pervasive
Services；IEEE International Conference on E-business Engineering。多個重要國際期刊審稿人，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。
教育科研經曆
• 2013年5月～2013年6月，澳大利亞墨爾本皇家理工大學訪問學者。
• 2009年4月～2010年3月，澳大利亞CSIRO ICT Center訪問學者。
• 2008年3～4月，加拿大滑鐵盧大學訪問學者。
• 2003年曾赴香港大學作訪問學者，與香港大學電子商務研究所開展合作研究。
2005年開始，作為項目負責人，主持過兩項國家自然科學基金項目 “電子市場匹配模型與算法研究” （編号：60473091，2005.01-2007.12）和 “Web服務組合模型與算法 ”（編号：60673175，2007.01-2009.12），以上項目的合作研究單位是香港大學和University of Ontario Institute of Technology。
2013年開始，主持了國家自然科學基金重點項目 “基于服務組合的系統的系統軟件機理與方法” （編号：61232007，2013.01-2017.12）。
2017年開始，主持國家自然科學基金面上項目 “服務系統在線可靠性預測方法及關鍵技術研究” （編号：61672152，2017.01-2020.12）和國家重點研發計劃項目 “面向服務的群智化生态化軟件開發方法與環境” （編号：2018YFB1003800，2018.07-2021.06，經費：1766萬）。
此外，還主持和參加過國家級、省部級項目多項。通過以上項目的研究，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，計算機學報，ICSOC，ICWS，SCC等重要期刊和重要國際會議均有論文發表。包括David Robertson等在内的多個知名研究組及IEEE TSC、TSE等著名期刊引用我們的工作。在Journal of Web Semantics發表的論文曾經23次入選該期刊 “最熱門的25篇文章” ，其中有四次列在首位。我們設計并實現了國際上第一個WS-CDL執行引擎（http://wscomposition.seu.edu.cn），這項工作引起國際萬維網組織的重視。WS-CDL執行引擎被國際上多個研究組索取、使用，包括萬維網組織WS-CDL工作組（Steve Ross-Talbot）。愛丁堡大學智能研究中心主任David Robertson在IEEE TRANS.介紹了我們在WS-CDL執行引擎上的開創性工作。
近年來，我們在基于機器學習的服務系統組合和大規模服務系統質量保障方面取得的研究成果，被國際同行跟蹤研究。
研究方向
主要研究方向為智能化軟件方法與技術、人工智能及其應用、大數據計算、雲計算、服務計算等。具體内容包括：研究深度學習、強化學習、多Agent系統等人工智能與機器學習技術如何解決智能軟件系統構建與運行過程中遇到的各種實際問題（如系統自适應、系統可靠性時間序列預測、大規模系統運行質量監控與優化等），面向大數據的個性化搜索，大數據分析與處理，雲計算資源分配與管理，雲服務發現與選擇，雲服務組合，服務組合系統優化，大規模推薦系統等。
科研成果
著作
王紅兵主編，服務計算應用開發技術，機械工業出版社（ISBN 978-7-111-28041-5）2009.08
軟件著作權
WS-CDL+執行引擎軟件，（軟件著作權登記2008SR17996）
國家發明專利
• 一種web服務組合生成方法，已授權發明專利，201310693416.1，王紅兵，鄒彬
• 一種Web服務組合方法，已授權發明專利，201310687734.7，王紅兵，陳鑫，吳琴，王玉文
• 一種基于定性和定量用戶偏好選擇可信web服務的方法，已授權發明專利，201310645566.5，王紅兵，俞超
• 面向服務的需求分析方法，已授權發明專利，201310636447.3，王紅兵，周書湘
• 一種基于可靠性預測與QoS相結合的服務組合方法，已授權發明專利，201310583125.7，王紅兵，孫海霞
• 面向服務的系統中的質量動态預警方法，已授權發明專利，201310436762.1，萬程，王紅兵
• 基于多智能體強化學習的大規模服務組合優化方法，已受理發明專利，201310161238.8，王紅兵，王曉珺
• 基于概率圖模型的服務組件可靠性在線時間序列預測方法，已授權發明專利，201310141453.1，王紅兵，王磊
• 一種用戶偏好檢索方法，已授權發明專利，201310041726.5，王紅兵，王玉文，陳鑫，吳琴
• 基于用戶偏好不完整和偏好沖突的web服務選擇方法，已受理發明專利，201210328724.X，王紅兵，孫文龍
• 基于因果圖的分層強化學習任務圖進化方法，已受理發明專利，201110369847.3，王紅兵，周建才
• 面向複雜系統中的MAXQ任務圖結構的自動發現方法，已授權發明專利，201110367593.1，王紅兵，李文雅
主持在研項目
• 面向服務的群智化生态化軟件開發方法與環境（國家重點研發計劃項目，2018.07-2021.06，經費：1766萬）
• 服務系統在線可靠性預測方法及關鍵技術研究（國家自然科學基金面上項目，2017.01-2020.12）
論文發表
期刊論文
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).
會議論文
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.
詳細論文發表情況可參考DBLP：http://dblp.uni-trier.de/pers/hd/w/Wang:Hongbing
聯系方式
招生要求
• 研究生：每年招收若幹名研究生。希望進入本實驗室的同學需要具有較好的數學和計算機基礎，程序設計和英語寫作能力較強。
• 博士生：每年按計劃招收1-2名博士生。
歡迎符合上述條件的同學與我們聯系，并期待你的加入！
人才需求
• 青年教師：誠邀國内外對服務計算、雲計算、大數據計算有興趣的博士加入研究團隊！
• 博士後：每年按計劃招收2名，歡迎國内外對服務計算、雲計算、大數據計算有興趣的青年博士！
聯系方式
電子郵箱：hbw@seu.edu.cn
辦公電話：(025) 5209 0861
通訊地址：江蘇省南京市江甯區 bet356手机版唯一官网（九龍湖校區）bet356手机版唯一官网 郵編：211189