| A survey of smart contract formal specification and verification P Tolmach, Y Li, SW Lin, Y Liu, Z Li ACM Computing Surveys (CSUR) 54 (7), 1-38, 2021 | 309 | 2021 |
| Deepstellar: Model-based quantitative analysis of stateful deep learning systems X Du, X Xie, Y Li, L Ma, Y Liu, J Zhao Proceedings of the 2019 27th ACM Joint Meeting on European Software …, 2019 | 200 | 2019 |
| Symbolic Optimization with SMT Solvers Y Li, A Albarghouthi, Z Kincaid, A Gurfinkel, M Chechik POPL 2014, 41st ACM SIGPLAN-SIGACT Symposium on Principles of Programming …, 2014 | 180 | 2014 |
| Typestate-guided fuzzer for discovering use-after-free vulnerabilities H Wang, X Xie, Y Li, C Wen, Y Liu, S Qin, H Chen, Y Sui 42nd International Conference on Software Engineering 20, 2020 | 165 | 2020 |
| Audee: Automated testing for deep learning frameworks Q Guo, X Xie, Y Li, X Zhang, Y Liu, X Li, C Shen Proceedings of the 35th IEEE/ACM international conference on automated …, 2020 | 145 | 2020 |
| UFO: A framework for abstraction-and interpolation-based software verification A Albarghouthi, Y Li, A Gurfinkel, M Chechik Computer Aided Verification, 672-678, 2012 | 137 | 2012 |
| Oracle-supported dynamic exploit generation for smart contracts H Wang, Y Liu, Y Li, SW Lin, C Artho, L Ma, Y Liu IEEE Transactions on Dependable and Secure Computing 19 (3), 1795-1809, 2020 | 98 | 2020 |
| Vultron: catching vulnerable smart contracts once and for all H Wang, Y Li, SW Lin, L Ma, Y Liu 2019 IEEE/ACM 41st international conference on software engineering: New …, 2019 | 93 | 2019 |
| Propertygpt: Llm-driven formal verification of smart contracts through retrieval-augmented property generation Y Liu, Y Xue, D Wu, Y Sun, Y Li, M Shi, Y Liu arXiv preprint arXiv:2405.02580, 2024 | 85 | 2024 |
| Specgen: Automated generation of formal program specifications via large language models L Ma, S Liu, Y Li, X Xie, L Bu arXiv preprint arXiv:2401.08807, 2024 | 75 | 2024 |
| Finding permission bugs in smart contracts with role mining Y Liu, Y Li, SW Lin, C Artho Proceedings of the 31st ACM SIGSOFT International Symposium on Software …, 2022 | 70 | 2022 |
| Semantic Slicing of Software Version Histories Y Li, J Rubin, M Chechik 30th IEEE/ACM International Conference on Automated Software Engineering …, 2015 | 64 | 2015 |
| Formal analysis of composable DeFi protocols P Tolmach, Y Li, SW Lin, Y Liu International Conference on Financial Cryptography and Data Security, 149-161, 2021 | 62 | 2021 |
| ARDiff: scaling program equivalence checking via iterative abstraction and refinement of common code S Badihi, F Akinotcho, Y Li, J Rubin Proceedings of the 28th ACM joint meeting on European software engineering …, 2020 | 61 | 2020 |
| Towards understanding third-party library dependency in c/c++ ecosystem W Tang, Z Xu, C Liu, J Wu, S Yang, Y Li, P Luo, Y Liu Proceedings of the 37th IEEE/ACM international conference on automated …, 2022 | 58 | 2022 |
| Angelic Verification: Precise Verification Modulo Unknowns A Das, SK Lahiri, A Lal, Y Li Computer Aided Verification, 2015 | 52 | 2015 |
| Deepcruiser: Automated guided testing for stateful deep learning systems X Du, X Xie, Y Li, L Ma, J Zhao, Y Liu arXiv preprint arXiv:1812.05339, 2018 | 50 | 2018 |
| Client-specific equivalence checking F Mora, Y Li, J Rubin, M Chechik Proceedings of the 33rd ACM/IEEE International Conference on Automated …, 2018 | 50 | 2018 |
| ModCon: A model-based testing platform for smart contracts Y Liu, Y Li, SW Lin, Q Yan Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020 | 48 | 2020 |
| An empirical study to evaluate AIGC detectors on code content JianWang, S Liu, X Xie, Y Li Proceedings of the 39th IEEE/ACM International Conference on Automated …, 2024 | 42* | 2024 |
Yang LiuNanyang Technological UniversityVerified email at ntu.edu.sg
