Kihong Heo
Kihong Heo
Assistant Professor, KAIST
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
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
942012
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
762014
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
362018
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
342018
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
262018
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
242016
Machine-learning-guided selectively unsound static analysis
K Heo, H Oh, K Yi
2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE …, 2017
232017
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
222014
Automatically generating features for learning program analysis heuristics for C-like languages
K Chae, H Oh, K Heo, H Yang
Proceedings of the ACM on Programming Languages 1 (OOPSLA), 101, 2017
192017
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
122015
Synthesizing datalog programs using numerical relaxation
X Si, M Raghothaman, K Heo, M Naik
arXiv preprint arXiv:1906.00163, 2019
102019
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
52019
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
52017
Sparrow
H Oh, K Heo, W Lee, W Lee, K Yi
52014
A sparse evaluation technique for detailed semantic analyses
Y Ko, K Heo, H Oh
Computer Languages, Systems & Structures 40 (3-4), 99-111, 2014
42014
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
32019
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
32018
Widening with thresholds via binary search
S Kim, K Heo, H Oh, K Yi
Software: Practice and Experience 46 (10), 1317-1328, 2016
32016
Difflog: Learning Datalog Programs by Continuous Optimization
M Raghothaman, X Si, K Heo, M Naik
22019
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
22018
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Articles 1–20