.NASAC2014会议论文《一种基于环境感知的分布式自适应容错中间件》
.凌济民, 张莉. 基于过程结构树的过程模型变体匹配技术. 软件学报
.Jing Jiang, Li Zhang and Lei Li. Understanding Project Dissemination on a Social Coding Site. The Working Conference on Reverse Engineering (WCRE), Koblenz, Germany, October, 2013.
.Fangwei Chen, Lei Li, Jing Jiang, Li Zhang. Predicting the Number of Forks for Open Source Software Project.. The 3rd International Workshop on Evidential Assessment of Software Technologies (EAST), Nanjing, China, May, 2014.
.Ling JM, Feng Q, Zhang L. A business process simulation method supporting resource evolution. In: Proc. of the 2014 International Conference on Software and Systems Process. 2014. 169-177. (EI: 20142617854133) (2014.05; Nanjing, China)
.Ling JM, Zhang L, Feng Q. Business Process Model Alignment: An Approach to Support Fast Discovering Complex Matches. In: Proc. of the 2014 International Conference on Interoperability for Enterprise Systems and Applications. 2014. pp41-51. (2014.03; Albi, France)
.Lin Zhang,Kun Hua,Honggang Wang,Guanqun Qian, Li Zhang，Sentiment Analysis on Reviews of Mobile Users，The 9th International Conference on Future Networks and Communications (FNC'14)/The 11th International Conference on Mobile Systems and Pervasive Computing (MobiSPC'14)/Affiliated Workshops.
.Wei Jiang, Haibin Ruan, Li Zhang. Analysis of Economic Impact of Online Reviews: An Approach for Market-Driven Requirements Evolution[C]. Proceedings of the First Asia Pacific Requirements Engineering Symposium. 2014. Regular paper accepted. (EI)
.Wei Jiang, Haibin Ruan, Li Zhang, Philip Lew, Jing Jiang. For User-Driven Software Evolution: Requirements Elicitation Derived From Mining Online Reviews[C]. Proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining. 2014. Regular paper accepted. (CCF recommended conference, Class C, EI).
.Wei Jiang, Haibin Ruan, Li Zhang, Philip Lew, Jing Jiang. For User-Driven Software Evolution: Requirements Elicitation Derived From Mining Online Reviews[C]. Proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Tainan, TaiWan, May, 2014.