李伯虎，李兵等. 《云計算導論》，北京：機械工業(yè)出版社，2018.
李德毅，林潤華，李兵. 《云計算技術發(fā)展報告（第三版）》, 北京：科學出版社, 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，服務計算旗艦會議，最佳學生論文獎）
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，最佳論文獎）
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.
何鵬; 王鵬;李兵 ; 胡思文, 基于多粒度軟件網(wǎng)絡模型的軟件系統(tǒng)演化分析, 電子學報, 2018.2, 46(2)：257~267（EI）
潘偉豐; 宋貝貝; 胡博; 李兵, 基于軟件網(wǎng)絡加權k-核分析的 關鍵類識別方法, 電子學報, 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.
熊偉, 李兵, 陳軍. 一種基于預測控制的SaaS系統(tǒng)自適應方法. 計算機學報,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.
楊榮， 李兵. 流程片段自適應重用策略研究. 軟件學報，2015, 26(4):778-789.
何鵬, 李兵, 楊習輝, 熊偉，陳軍. Roster: 一種開發(fā)者潛在同行推薦方法[J].計算機學報, 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.
潘偉豐, 李兵, 邵波，何鵬. 基于軟件網(wǎng)絡的服務自動分類和推薦方法研究. 計算機學報, 2011, 34(12): 2355-2369.
馬于濤，何克清，李兵，劉婧. 網(wǎng)絡化軟件的復雜網(wǎng)絡特性實證. 軟件學報，2011,22(3) 1-29.
研究方向：以服務“四個面向”為導向，積極承擔立德樹人和科技創(chuàng)新任務，通過軟件工程、服務計算、人工智能、復雜系統(tǒng)等多學科交叉，開展智能化軟件與服務、智能化軟件工程、人機融合智能等領域的基礎研究、應用基礎研究以及社會服務。
