【教师简介】

王红兵教授长期从事人工智能的应用研究，当前主要侧重于运用因果强化学习、深度学习、指针网络、自然语言处理等进行大规模复杂系统态势感知、预测与调控等方面的研究。主持国家重点研发计划1项，国家自然科学基金重点项目2项(含1项联合基金重点)，基金面上项目4项及省部级项目多项。目前正主持国家自然科学基金联合基金重点项目1项，国家自然科学基金面上项目1项。先后于2003.12至2004.3香港大学，2008.4至2008.5 Waterloo University，2009.4至2010.3 CSIRO ICT CENTER，2013.04至2013.06澳大利亚皇家墨尔本大学访问，与国外高水平研究机构建立了广泛合作关系。近年来，成果发表在包括ACM TAAS、TSE、TSC、TPDS、TNNLS、ICSOC、ICWS、CIKM等一流国际期刊和国际会议上，SCI收录22篇，其中第一作者21篇（JCR一区收录14篇，二区收录7篇，均为CCF推荐期刊），服务计算三大会议论文30余篇（均为CCF推荐会议），授权发明专利10余项。联系方式：246124868@qq.com。

【主要贡献】

●科研项目

· 国家自然科学基金委员会，联合基金项目，U22A2026，面向特大城市服务软件系统的多维度态势感知、异常分析与预测理论及关键技术研究 ，2023-01至2026-12，250万元，主持

· 国家自然科学基金委员会，面上项目，62072097，面向高维、高通量数据下系统的系统在线可靠性预测方法及关键技术研究，2021-01至2024-12，56万元，主持

· 国家重点研发计划，云计算和大数据重点专项，2018YFB1003800，面向服务的群智化生态化软件开发方法与环境，2018-10至2021-09，1766万元，已结题，主持

· 国家重点研发计划课题，云计算和大数据重点专项，2018YFB1003801，面向服务的群智化生态化新型软件开发理论、方法与关键技术研究，2018-10至2021-09，479万元，已结题，主持

· 国家自然科学基金委员会，重点项目，61232007，基于服务组合的系统的系统软件机理与方法，2013-01至2017-12，280万元，已结题，主持

  国家自然科学基金委员会，重点项目，61532013，大规模人-机-物实体对象协同感知与关联，2016-01至2020-12，341.5万元，已结题，参与(排名第二)

· 国家自然科学基金委员会，面上项目，61672152，服务系统在线可靠性预测方法及关键技术研究，2017-01至2020-12，63万元，已结题，主持

· 国家自然科学基金委员会，面上项目，60673175，Web服务组合模型与算法，2007-01至2009-12，28万元，已结题，主持

· 国家自然科学基金委员会，面上项目，60473091，电子市场匹配模型与算法研究，2005-01至2007-12，26万元，已结题，主持

· 华为技术有限公司，数据驱动的软件研发效能度量，85万，已结题，主持，2022.7-2024.3

· 教育部博士点基金（博导类），20120092110028，基于服务组合的开放软件构建方法与关键技术，2013-01至2015-12，10万元，已结题，主持

· 纬润文化科技有限公司，BI数据分析项目，2019-08至2024-03，5万元，已结题，主持

· 上海画栋智娱信息科技有限公司，3D虚拟社区应用产品的云服务技术咨询，2022-07至2023-07，5万元，已结题，主持

●论文发表

1. 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. ACM Trans. Auton. Adapt. Syst. 12(2): 8:1-8:42 (2017) （CCF B）

2. Hongbing Wang, Lei Wang, Qi Yu, Zibin Zheng:Learning the Evolution Regularities for BigService-Oriented Online Reliability Prediction. IEEE Trans. Serv. Comput. 12(3): 398-411 (2019) （CCF A）

3. 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) （CCF A）

4. Hongbing Wang, Chao Yu, Lei Wang, Qi Yu:Effective BigData-Space Service Selection over Trust and Heterogeneous QoS Preferences. IEEE Trans. Serv. Comput. 11(4): 644-657 (2018) （CCF A）

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

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

7. Hongbing Wang, Qi Li: Effective Bug Triage Based on a Hybrid Neural Network. APSEC 2021: 82-91（CCF C）

8. Hongbing Wang, Jiajie Li, Qi Yu, Tianjing Hong, Jia Yan, Wei Zhao:Integrating recurrent neural networks and reinforcement learning for dynamic service composition. Future Gener. Comput. Syst. 107: 551-563 (2020) （CCF C）

9. Hongbing Wang, Xingguo Hu, Qi Yu, Mingzhu Gu, Wei Zhao, Jia Yan, Tianjing Hong:Integrating reinforcement learning and skyline computing for adaptive service composition. Inf. Sci. 519: 141-160 (2020) （CCF B）

10. Hongbing Wang, Tianjing Hong, Jian Cao, Haijun Zhang, Changhai Nie, Bo Cheng, Yangfan He, Li Kuang, Dunwei Gong, Wuhui Chen, Yuliang Shi, Deyi Huang:COSINE: a software development model integrating collective intelligence, service and ecosystem. SERVICES 2020: 122-127

11. Hongbing Wang, Shunshun Peng, Qi Yu:A parallel refined probabilistic approach for QoS-aware service composition. Future Gener. Comput. Syst. 98: 609-626 (2019) （CCF C）

12. Hongbing Wang, Huanhuan Fei, Qi Yu, Wei Zhao, Jia Yan, Tianjing Hong:A motifs-based Maximum Entropy Markov Model for realtime reliability prediction in System of Systems. J. Syst. Softw. 151: 180-193 (2019) （CCF B）

13. Hongbing Wang, Yong Tao, Qi Yu, Tianjing Hong, Chen Xin, Qin Wu:Personalized service selection using Conditional Preference Networks. Knowl. Based Syst. 164: 292-308 (2019) （CCF C）

14. Hongbing Wang, Mingzhu Gu, Qi Yu, Yong Tao, Jiajie Li, Huanhuan Fei, Jia Yan, Wei Zhao, Tianjing Hong:Adaptive and large-scale service composition based on deep reinforcement learning. Knowl. Based Syst. 180: 75-90 (2019) （CCF C）

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

16. 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 Distributed Comput. 114: 70-84 (2018) （CCF B）

17. 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) （CCF C）

18. Hongbing Wang et al, "CTFNet: Long-Sequence Time-Series Forecasting Based on Convolution and Time–Frequency Analysis," in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2023.3294064（CCF B）

19. Hongbing Wang, Zhengping Yang, Qi Yu, Tianjing Hong, Xin Lin:Online reliability time series prediction via convolutional neural network and long short term memory for service-oriented systems. Knowl. Based Syst. 159: 132-147 (2018) （CCF C）

20. 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)

21. 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 Distributed Comput. 100: 71-84 (2017) （CCF B）

22. 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) （CCF B）

23. 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（CCF B）

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

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

26. Khalil Drira, Hongbing Wang, Qi Yu, Yan Wang, Yuhong Yan, François Charoy, Jan Mendling, Mohamed Mohamed, Zhongjie Wang, Sami Bhiri:Service-Oriented Computing - ICSOC 2016 Workshops - ASOCA, ISyCC, BSCI, and Satellite Events, Banff, AB, Canada, October 10-13, 2016. Revised Selected Papers. Lecture Notes in Computer Science 10380, Springer 2017, ISBN 978-3-319-68135-1 [contents]

27. 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) （CCF B）

28. 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) （CCF C）

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

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

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

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

33. Qi Yu, Hongbing Wang, Liang Chen:Learning Sparse Functional Factors for Large-Scale Service Clustering. ICWS 2015: 201-208（CCF B）

34. 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（CCF B）

35. Hongbing Wang, Suxiang Zhou, Qi Yu:Discovering Web Services to Improve Requirements Decomposition. ICWS 2015: 743-746（CCF B）

36. Li Li, Hongbing Wang:Multi-strategy Query Expansion Method Based on Semantics. J. Digit. Inf. Manag. 12(3): 183-191 (2014)

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

38. 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（CCF B）

39. 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（CCF B）

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

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

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

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

44. Hongbing Wang, Haixia Sun, Qi Yu:Reliable Service Composition via Automatic QoS Prediction. IEEE SCC 2013: 200-207（CCF C）

45. Hongbing Wang, Xiaojun Wang:A Novel Approach to Large-Scale Services Composition. APWeb 2013: 220-227（CCF C）

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

47. 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（CCF B）

48. Qi Yu, Zibin Zheng, Hongbing Wang:Trace Norm Regularized Matrix Factorization for Service Recommendation. ICWS 2013: 34-41（CCF B）

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

50. Hongbing Wang, Xiaojun Wang, Xuan Zhou:A Multi-agent Reinforcement Learning Model for Service Composition. IEEE SCC 2012: 681-682（CCF C）

51. Hongbing Wang, Xuan Zhou, Wujin Chen, Peisheng Ma:Top-k retrieval using conditional preference networks. CIKM 2012: 2075-2079（CCF B）

52. 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（CCF B）

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

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

55. 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（CCF C）

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

57. Hongbing Wang, Weihong Liu:Web Service Selection with Quantitative and Qualitative User Preferences. Web Intelligence 2011: 404-411（CCF C）

58. Hongbing Wang, Yifei Wang, Joshua Zhexue Huang, Xun Xu:A self-learning framework for services selection. Int. J. Inf. Technol. Manag. 9(1): 90-110 (2010)

59. Hongbing Wang, Zuling Kang, Ning Zhou, Li Li:A model checker for WS-CDL. J. Syst. Softw. 83(10): 1651-1661 (2010) （CCF B）

60. Athman Bouguettaya, Surya Nepal, Wanita Sherchan, Xuan Zhou, Jemma Wu, Shiping Chen, Dongxi Liu, Lily Li, Hongbing Wang, Xumin Liu:End-to-End Service Support for Mashups. IEEE Trans. Serv. Comput. 3(3): 250-263 (2010) （CCF A）

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

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

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

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

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

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

67. 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（CCF C）

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

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

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

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

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

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

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

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

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

77. 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

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

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

80. Wan Cheng, Hongbing Wang:Uncertainty-aware QoS Description and Selection Model for Web Services. IEEE SCC 2007: 154-161（CCF C）

81. Yi Zheng, Dickson K. W. Chiu, Hongbing Wang, Patrick C. K. Hung:Towards a Privacy Policy Enforcement Middleware with Location Intelligence. EDOCW 2007: 97-104

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

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

84. Hongbing Wang, Hui Liu, Chen Wang, Patrick C. K. Hung:A New Approach to Describe Web Services. Web Intelligence 2007: 568-571（CCF C）

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

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

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

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

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

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

91. Jianyang Shi, Wenjian Xu, Qi Yuan, Junjin Zheng, Qingji Ren, Xuechao Li, Deyi Huang, Hongbing Wang, Haijun Zhang: COSINEHUB: A New Software Development System in Collective Intelligence Environment. SOSE 2021: 155-160

92. Shunshun Peng, Hongbing Wang, Qi Yu:Multi-Clusters Adaptive Brain Storm Optimization Algorithm for QoS-Aware Service Composition. IEEE Access 8: 48822-48835 (2020)

93. Hongbing Wang;Zimin Wu,A Method to Evaluate the Health of OSS Projects Based on the PSR Model and Combination Weighting,2022 IEEE 2nd International Conference on Software Engineering and Artificial Intelligence (SEAI)

94. Hongbing Wang;Haoran Ji,Evolution Model of Open-Source Software Projects in GitHub,2022 IEEE 2nd International Conference on Software Engineering and Artificial Intelligence (SEAI)

95. 王红兵，孙文龙，王华兰，Web服务选择中偏好不确定问题的研究，计算机学报，2013，36（2），1-11（CCF A）（中国计算机学会服务计算会议最佳论文，2013）

96. 王红兵，严嘉等，基于动态偏好和竞争力的群智化任务推荐，软件学报，2023, 34(4):1666-1694.DOI: 10.13328/j.cnki.jos.006721（CCF A）

●授权发明专利

1. 王红兵*; 李文雅，面向复杂系统中的MAXQ任务图结构的自动发现方法，2017-5-24中国ZL201110367593.1.

2. 王红兵*; 周书湘，面向服务的需求分析方法，2017-2-15中国ZL201310636447 .3.

3. 王红兵*; 俞超，一种基于定性和定量用户偏好选择可信web服务的方法，2017-2-1中国ZL201310645566.5.

4. 王红兵*; 邹彬，一种Web服务组合生成方法，2017-1-25中国ZL201310693416.1.

5. 万程; 王红兵，面向服务的系统中的质量动态预警方法，2017-1-18中国ZL201 310436762.1.

6. 王红兵*; 王玉文; 陈鑫; 吴琴，一种用户偏好检索方法，2016-10-26中国ZL201310041726.5.

7. 王红兵*; 孙海霞，一种基于可靠性预测与QoS相结合的服务组合方法，2016-06-15中国ZL201310583125.7.

8. 王红兵*; 陈鑫; 吴琴; 王玉文，一种Web服务组合方法，2016-06-08中国ZL201310687734.7.

9. 王红兵*; 王磊，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，2015-4-29中国ZL2013101041453.1.

10. 王红兵*; 费欢欢，基于最近探索的启发式服务组合方法，2019-10-11中国ZL20171.0055814.9.

11. 王红兵*; 李佳杰，结合高斯过程与强化学习的服务组合方法，2020-04-24中国ZL201710055817.2.

12. 王红兵;赵伟，基于深度学习与非监督聚类的开源社区开发者推荐方法，2023年11月24日，ZL 2019 1 1386674.9

13. 王红兵;严嘉，一种基于开发者特征的群智化软件任务推荐方法，2024年03月19日，ZL 2019 1 1386686.1