| Design and implementation of sparse global analyses for C-like languages H Oh, K Heo, W Lee, W Lee, K Yi Proceedings of the 33rd ACM SIGPLAN conference on Programming Language …, 2012 | 99 | 2012 |
| Selective context-sensitivity guided by impact pre-analysis H Oh, W Lee, K Heo, H Yang, K Yi ACM SIGPLAN Notices 49 (6), 475-484, 2014 | 79 | 2014 |
| Accelerating search-based program synthesis using learned probabilistic models W Lee, K Heo, R Alur, M Naik ACM SIGPLAN Notices 53 (4), 436-449, 2018 | 53 | 2018 |
| Effective program debloating via reinforcement learning K Heo, W Lee, P Pashakhanloo, M Naik Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications …, 2018 | 50 | 2018 |
| Learning a variable-clustering strategy for octagon from labeled data generated by a static analysis K Heo, H Oh, H Yang International Static Analysis Symposium, 237-256, 2016 | 29 | 2016 |
| Machine-learning-guided selectively unsound static analysis K Heo, H Oh, K Yi 2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE …, 2017 | 28 | 2017 |
| User-guided program reasoning using Bayesian inference M Raghothaman, S Kulkarni, K Heo, M Naik Proceedings of the 39th ACM SIGPLAN Conference on Programming Language …, 2018 | 26 | 2018 |
| Global sparse analysis framework H Oh, K Heo, W Lee, W Lee, D Park, J Kang, K Yi ACM Transactions on Programming Languages and Systems (TOPLAS) 36 (3), 1-44, 2014 | 23 | 2014 |
| Automatically generating features for learning program analysis heuristics for C-like languages. K Chae, H Oh, K Heo, H Yang Proc. ACM Program. Lang. 1 (OOPSLA), 101:1-101:25, 2017 | 22 | 2017 |
| Selective X-sensitive analysis guided by impact pre-analysis H Oh, W Lee, K Heo, H Yang, K Yi ACM Transactions on Programming Languages and Systems (TOPLAS) 38 (2), 1-45, 2015 | 12 | 2015 |
| Synthesizing datalog programs using numerical relaxation X Si, M Raghothaman, K Heo, M Naik arXiv preprint arXiv:1906.00163, 2019 | 11 | 2019 |
| Resource-aware program analysis via online abstraction coarsening K Heo, H Oh, H Yang 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, 2019 | 7 | 2019 |
| Continuously reasoning about programs using differential Bayesian inference K Heo, M Raghothaman, X Si, M Naik Proceedings of the 40th ACM SIGPLAN Conference on Programming Language …, 2019 | 6 | 2019 |
| Sound non-statistical clustering of static analysis alarms W Lee, W Lee, D Kang, K Heo, H Oh, K Yi ACM Transactions on Programming Languages and Systems (TOPLAS) 39 (4), 1-35, 2017 | 5 | 2017 |
| Adaptive Static Analysis via Learning with Bayesian Optimization K Heo, H Oh, H Yang, K Yi ACM Transactions on Programming Languages and Systems (TOPLAS) 40 (4), 1-37, 2018 | 4 | 2018 |
| A sparse evaluation technique for detailed semantic analyses Y Ko, K Heo, H Oh Computer Languages, Systems & Structures 40 (3-4), 99-111, 2014 | 4 | 2014 |
| Sparrow H Oh, K Heo, W Lee, W Lee, K Yi | 4 | 2014 |
| Widening with thresholds via binary search S Kim, K Heo, H Oh, K Yi Software: Practice and Experience 46 (10), 1317-1328, 2016 | 3 | 2016 |
| Difflog: Learning Datalog Programs by Continuous Optimization M Raghothaman, X Si, K Heo, M Naik | 2 | 2019 |
| Learning analysis strategies for octagon and context sensitivity from labeled data generated by static analyses K Heo, H Oh, H Yang Formal Methods in System Design 53 (2), 189-220, 2018 | 2 | 2018 |
Hakjoo OhAssociate Professor, Department of Computer Science and Engineering, Korea UniversityE-mail confirmado em korea.ac.kr
