| Relink: recovering links between bugs and changes R Wu, H Zhang, S Kim, SC Cheung Proceedings of the 19th ACM SIGSOFT symposium and the 13th European …, 2011 | 515 | 2011 |
| Dealing with noise in defect prediction S Kim, H Zhang, R Wu, L Gong Proceedings of the 33rd International Conference on Software Engineering …, 2011 | 451 | 2011 |
| Context-Aware Patch Generation for Better Automated Program Repair M Wen, J Chen, R Wu, D Hao, SC Cheung Proceedings of the 40th International Conference on Software Engineering …, 2018 | 354 | 2018 |
| Sample-based software defect prediction with active and semi-supervised learning M Li, H Zhang, R Wu, ZH Zhou Automated Software Engineering 19, 201-230, 2012 | 240 | 2012 |
| Locus: Locating bugs from software changes M Wen, R Wu, SC Cheung Proceedings of the 31st IEEE/ACM International Conference on Automated …, 2016 | 214 | 2016 |
| Rebucket: A method for clustering duplicate crash reports based on call stack similarity Y Dang, R Wu, H Zhang, D Zhang, P Nobel 2012 34th International Conference on Software Engineering (ICSE), 1084-1093, 2012 | 203 | 2012 |
| Crashlocator: Locating crashing faults based on crash stacks R Wu, H Zhang, SC Cheung, S Kim Proceedings of the 2014 International Symposium on Software Testing and …, 2014 | 160 | 2014 |
| Pinpoint: Fast and Precise Sparse Value Flow Analysis for Million Lines of Code Q Shi, X Xiao, R Wu, J Zhou, G Fan, C Zhang Proceedings of the 39th ACM SIGPLAN Conference on Programming Language …, 2018 | 118 | 2018 |
| PANGOLIN: Incremental Hybrid Fuzzing with Polyhedral Path Abstraction H Huang, P Yao, R Wu, Q Shi, C Zhang IEEE Symposium on Security and Privacy 2020 (S&P 2020), 2020 | 84 | 2020 |
| Beacon: Directed grey-box fuzzing with provable path pruning H Huang, Y Guo, Q Shi, P Yao, R Wu, C Zhang 2022 IEEE Symposium on Security and Privacy (SP), 36-50, 2022 | 80 | 2022 |
| MVD: Memory-Related Vulnerability Detection Based on Flow-Sensitive Graph Neural Networks S Cao, X Sun, L Bo, R Wu, B Li, C Tao In Proceedings of the 44th International Conference on Software Engineering, 2022 | 80 | 2022 |
| SMOKE: Scalable Path-Sensitive Memory Leak Detection for Millions of Lines of Code G Fan, R Wu*, Q Shi, X Xiao, J Zhou, C Zhang Proceedings of 41st ACM/IEEE International Conference on Software …, 2019 | 71 | 2019 |
| Do the dependency conflicts in my project matter? Y Wang, M Wen, Z Liu, R Wu, R Wang, B Yang, H Yu, Z Zhu, SC Cheung Proceedings of the 2018 26th ACM joint meeting on european software …, 2018 | 67 | 2018 |
| Historical Spectrum based Fault Localization M Wen, J Chen, Y Tian, R Wu*, D Hao, S Han, SC Cheung IEEE Transactions on Software Engineering, 2019 | 66 | 2019 |
| Improving code summarization with block-wise abstract syntax tree splitting C Lin, Z Ouyang, J Zhuang, J Chen, H Li, R Wu 2021 IEEE/ACM 29th International Conference on Program Comprehension (ICPC …, 2021 | 64 | 2021 |
| ChangeLocator: locate crash-inducing changes based on crash reports R Wu, M Wen, SC Cheung, H Zhang Journal of Empirical Software Engineering, 2017 | 62 | 2017 |
| How well do change sequences predict defects? sequence learning from software changes M Wen, R Wu*, SC Cheung IEEE Transactions on Software Engineering 46 (11), 1155 - 1175, 2020 | 52 | 2020 |
| Exploring and exploiting the correlations between bug-inducing and bug-fixing commits M Wen, R Wu*, Y Liu, Y Tian, X Xie, SC Cheung, Z Su Proceedings of the 2019 27th ACM Joint Meeting on European Software …, 2019 | 44 | 2019 |
| Exposing Library API Misuses via Mutation Analysis M Wen, Y Liu, R Wu, X Xie, SC Cheung, Z Su Proceedings of 41st ACM/IEEE International Conference on Software …, 2019 | 42 | 2019 |
| An empirical analysis of the influence of fault space on search-based automated program repair M Wen, J Chen, R Wu, D Hao, SC Cheung arXiv preprint arXiv:1707.05172, 2017 | 34 | 2017 |
Shing-Chi CheungChair Professor of Computer Science and Engineering, HKUST在 cse.ust.hk 的电子邮件经过验证
