• Yufei Liang, Teng Zhang, Ganlin Li, Tian Tan, Chang Xu, Chun Cao, Xiaoxing Ma, and Yue Li. Pointer Analysis for Database-Backed Applications. In Proceedings of the 46th ACM SIGPLAN Conference on Programming Language Design and Implementation, Seoul, South Korea, June 16—​20 2025 (PLDI'25).

  • Menglong Chen, Tian Tan, Minxue Pan, and Yue Li. PacDroid: A Pointer-Analysis-Centric Framework for Security Vulnerabilities in Android Apps. In Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, Ottawa, Canada, April 27—​May 3 2025 (ICSE'25).

  • Chenxi Zhang, Yufei Liang, Tian Tan, Chang Xu, Shuangxiang Kan, Yulei Sui, and Yue Li. Interactive Cross-Language Pointer Analysis for Resolving Native Code in Java Programs. In Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, Ottawa, Canada, April 27—​May 3 2025 (ICSE'25).

  • Teng Zhang, Yufei Liang, Ganlin Li, Tian Tan, Chang Xu, and Yue Li. Bridge the Islands: Pointer Analysis for Microservice Systems. In Proceedings of the 34th ACM SIGSOFT International Symposium on Software Testing and Analysis, Trondheim, Norway, June 25—​28 2025 (ISSTA'25).

  • Tian Tan and Yue Li. Tai-e: A Developer-Friendly Static Analysis Framework for Java by Harnessing the Good Designs of Classics. In Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, Seattle, WA, USA. July 17—​21, 2023 (ISSTA'23).

  • Wenjie Ma, Shengyuan Yang, Tian Tan, Xiaoxing Ma, Chang Xu and Yue Li. Context Sensitivity without Context: A Cut-Shortcut Approach to Fast and Precise Pointer Analysis. In Proceedings of the ACM on Programming Languages, 2023 (PLDI'23).

  • Tian Tan, Yue Li, Xiaoxing Ma, Chang Xu, and Yannis Smaragdakis. Making Pointer Analysis More Precise by Unleashing the Power of Selective Context Sensitivity. In Proceedings of the ACM on Programming Languages, 2021 (OOPSLA'21).

  • Yue Li, Tian Tan, Anders Møller, and Yannis Smaragdakis. A Principled Approach to Selective Context Sensitivity for Pointer Analysis. ACM Transactions on Programming Languages and Systems, 2020 (TOPLAS'20).

  • Yue Li, Tian Tan, and Jingling Xue. Understanding and Analyzing Java Reflection. ACM Transactions on Software Engineering and Methodology, 2019 (TOSEM'19).

  • Yue Li, Tian Tan, Anders Møller, and Yannis Smaragdakis. Scalability-First Pointer Analysis with Self-Tuning Context-Sensitivity. In Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Lake Buena Vista, FL, USA, November 04-09, 2018 (ESEC/FSE'18).

  • Yue Li, Tian Tan, Anders Møller, and Yannis Smaragdakis. Precision-Guided Context Sensitivity for Pointer Analysis. Proceedings of the ACM on Programming Languages, 2018 (OOPSLA'18).

  • Tian Tan, Yue Li, and Jingling Xue. Efficient and Precise Points-to Analysis: Modeling the Heap by Merging Equivalent Automata. In Proceedings of the 38th ACM SIGPLAN Conference on Programming Language Design and Implementation, Barcelona, Spain, June 18-23, 2017 (PLDI'17).

  • Tian Tan, Yue Li, and Jingling Xue. Making k-Object-Sensitive Pointer Analysis More Precise with Still k-Limiting. In 23rd International Static Analysis Symposium, Edinburgh, UK, September 8-10, 2016, Proceedings (SAS'16).

  • Yue Li, Tian Tan, Yifei Zhang, and Jingling Xue. Program Tailoring: Slicing by Sequential Criteria. In Proceeding of 30th European Conference on Object-Oriented Programming, July 18-22, 2016, Rome, Italy (ECOOP'16).

  • Yue Li, Tian Tan, and Jingling Xue. Effective Soundness-Guided Reflection Analysis. In 22nd International Static Analysis Symposium, Saint-Malo, France, September 9-11, 2015, Proceedings (SAS'15).

  • Yue Li, Tian Tan, Yulei Sui, and Jingling Xue. Self-Inferencing Reflection Resolution for Java. In 28th European Conference, Uppsala, Sweden, July 28 * August 1, 2014. Proceedings (ECOOP'14).