李伯虎，李兵等. 《云计算导论》，北京：机械工业出版社，2018.
李德毅，林润华，李兵. 《云计算技术发展报告（第三版）》, 北京：科学出版社, 2013.
Can Cheng, Bing Li, Zengyang Li, Peng Liang, Xiaofeng Han, Jiahua Zhang. Accuracy of Existing Public Development Project Selection Methods: A Study on GitHub Ecosystem. Automated Software Engineering. 2022 .
Can Cheng; Bing Li;Zengyang Li;Peng Liang;Xu Yang. An In-depth Study of the Effects of Methods on the Dataset Selection of Public Development Projects. IET Research Journals. 2021.
Zekun Zhang, Bing Li, Jian Wang, and Yongqiang Liu, “An Approach of Automated Anomalous Microservice Ranking in Cloud-native Environment”, International Journal of Software Engineering and Knowledge Engineering (IJSEKE), 2021.
Jiale Deng，Bing Li，Jian Wang，Yuqi Zhao：Microservice Pre-Deployment Based on Mobility Prediction and Service Composition in Edge.In Proc. of 2020 IEEE International Conference on Web Services (ICWS), 2021: 569-578（CCF B，服务计算旗舰会议，最佳学生论文奖）
Zekun Zhang, Bing Li, Jian Wang, and Yongqiang Liu, “AAMR: Automated Anomalous Microservice Ranking in Cloud-Native Environment”, International Conference on Software Engineering and Knowledge Engineering (SEKE), 2021（CCF C，最佳论文奖）
Zhengli Liu, Bing Li, Jian Wang, Rong Yang. Requirements Engineering for Crossover Services: Issues, Challenges and Research Directions, IET software, 2020. （CCF B）
Zhengli Liu, Bing Li, Jian Wang, Yu Qiao. A Value Driven Modeling Approach for Crossover Service, International Journal of Web Service Research, 17(3), pp.20-38, 2020.
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), 2020. （CCF B）
Yiwei Shan, Yu Qiao, Bing Li, Jian Wang, A Process Convergence Approach for Crossover Services based on Message Flow Partition and Merging, In Proc. of 2020 IEEE International Conference on Services Computing (SCC), 2020. （CCF C）
Yu Peng, Bing Li, Jian Wang, Zhengli, An approach of crossover service goal convergence and conflict resolution, In Proc. of the 1st IEEE SERVICES Workshop on Crossover Services (IWCS), 2020. （CCF B）
Li Yao, Bing Li, Jian Wang: Data-sparsity Service Discovery using Enriched Neural Topic Model and Attentional Bi-LSTM.SEKE 2020: 228-233.（CCF C）
Can cheng, Bing Li, zengyang li, peng liang. Automatic Detection of Public Development Projects in Large Open Source Ecosystems: An Exploratory Study on GitHub, Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering (SEKE'18), 2018.7.1-2018.7.3
Di Zhang Bing Li, zengyang li, peng liang. A Preliminary Investigation of Self-Admitted Refactorings in Open Source Software, Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering (SEKE'18), 2018.7.1-2018.7.3.
何鹏; 王鹏;李兵 ; 胡思文, 基于多粒度软件网络模型的软件系统演化分析, 电子学报, 2018.2, 46(2)：257~267（EI）
潘伟丰; 宋贝贝; 胡博; 李兵, 基于软件网络加权k-核分析的 关键类识别方法, 电子学报, 2018,46(5)：1071~1077（EI）
Can Cheng, Bing Li, Zeng-Yang Li ,Yu-Qi Zhao and Feng-Ling Liao. Developer Role Evolution in Open Source Software Ecosystem: An Explanatory Study on GNOME[J]. Journal of computer science and technology,2017,32(2): 396–414.
Wei Xiong, Zhao Wu, Bing Li, Qigong Gu. A Learning Approach to QoS Prediction via Multi-Dimensional Context, in Proceeding of the 21th IEEE International Conference on Web Services (ICWS 2017), Honolulu, HI, USA, 2017, pp.164-171 .
Rong Yang,，Bing Li, Jian Wang，Zengyang Li *，Yan Hu. Reusing Service Process Fragments with a Consensus Between Service Providers and Users. Chinese Journal of Electronics, 2016, 25(4):648-657.
Rong Yang, Bing Li, Can Cheng. Adaptable Service Composition for Intelligent Logistics: a Middleware Approach. Chinese Journal of Electronics, 2016，25(3):561-569.
熊伟, 李兵, 陈军. 一种基于预测控制的SaaS系统自适应方法. 计算机学报,2016,39(2):364-376.
Buqing Cao, Xiaoqing Frank Liu, Bing Li, Jianxun Liu, Mingdong Tang, Tingting Zhang, Min Shi. Mashup Service Clustering Based on an Integration of Service Content and Network via Exploiting a Two-Level Topic Model. in Proceeding of the 20th IEEE International Conference on Web Service（ICWS 2016），San Francisco, CA, USA, 2016, pp. 212-219
Wei Xiong, Zhao Wu, Bing Li, Qiong Gu, Lei Yuan, Bo Hang. Inferring Service Recommendation from Natural Language API Descriptions. in Proceeding of the 20th IEEE International Conference on Web Service（ICWS 2016），San Francisco, CA, USA, 2016, pp. 316-323.
P He, B Li, X Liu, J Chen, Y Ma. An empirical study on software defect prediction with a simplified metric set. Information and Software Technology（IST）. 2015.3, 59（3）, 170-190.
Wei Xiong, Bing Li, Xiaohui Cui, Yutao Ma, Rong Yang, Peng He. A Learning Approach to the Prediction of Reliability Ranking for Web Services, in Proceeding of the 19th IEEE International Conference on Web Services(ICWS 2015),June 27 2015-July 2 2015, New York, NY, USA, pp:169-176, 2015.
杨荣， 李兵. 流程片段自适应重用策略研究. 软件学报，2015, 26(4):778-789.
何鹏, 李兵, 杨习辉, 熊伟，陈军. Roster: 一种开发者潜在同行推荐方法[J].计算机学报, 2014,37(4):859-872.
Rong Yang, Bing Li, Jian Wang, Lulu He and Xiaohui Cui. SCKY : A Method For Reusing Service Process Fragments, In Proceedings of the 18th IEEE International Conference on Web Services(ICWS 2014)., Alaska, AK, USA,2014, pp. 209-216.
Weifeng Pan, Bing Li, Yutao Ma. Multi-Granularity Evolution Analysis of Software using Complex Network Theory. Journal of Systems Science and Complexity(JSSC),Volume 24, Issue 6, pp. 1068-1082, 2011.
潘伟丰, 李兵, 邵波，何鹏. 基于软件网络的服务自动分类和推荐方法研究. 计算机学报, 2011, 34(12): 2355-2369.
马于涛，何克清，李兵，刘婧. 网络化软件的复杂网络特性实证. 软件学报，2011,22(3) 1-29.
研究方向：以服务“四个面向”为导向，积极承担立德树人和科技创新任务，通过软件工程、服务计算、人工智能、复杂系统等多学科交叉，开展智能化软件与服务、智能化软件工程、人机融合智能等领域的基础研究、应用基础研究以及社会服务。
