Algorithmic analysis of qualitative and quantitative termination problems for affine probabilistic programs K Chatterjee, H Fu, P Novotnę, R Hasheminezhad ACM Transactions on Programming Languages and Systems (TOPLAS) 40 (2), 1-45, 2018 | 139 | 2018 |
Termination analysis of probabilistic programs through Positivstellensatz’s K Chatterjee, H Fu, AK Goharshady Computer Aided Verification: 28th International Conference, CAV 2016 …, 2016 | 132 | 2016 |
Termination of nondeterministic probabilistic programs H Fu, K Chatterjee Verification, Model Checking, and Abstract Interpretation: 20th …, 2019 | 70* | 2019 |
Proving expected sensitivity of probabilistic programs with randomized variable-dependent termination time P Wang, H Fu, K Chatterjee, Y Deng, M Xu Proceedings of the ACM on Programming Languages 4 (POPL), 1-30, 2019 | 64 | 2019 |
Cost analysis of nondeterministic probabilistic programs P Wang, H Fu, AK Goharshady, K Chatterjee, X Qin, W Shi Proceedings of the 40th ACM SIGPLAN Conference on Programming Language …, 2019 | 60 | 2019 |
Guided diffusion model for adversarial purification J Wang, Z Lyu, D Lin, B Dai, H Fu arXiv preprint arXiv:2205.14969, 2022 | 59 | 2022 |
Polynomial invariant generation for non-deterministic recursive programs K Chatterjee, H Fu, AK Goharshady, EK Goharshady Proceedings of the 41st ACM SIGPLAN Conference on Programming Language …, 2020 | 49 | 2020 |
Modular verification for almost-sure termination of probabilistic programs M Huang, H Fu, K Chatterjee, AK Goharshady Proceedings of the ACM on Programming Languages 3 (OOPSLA), 1-29, 2019 | 47 | 2019 |
Non-polynomial worst-case analysis of recursive programs K Chatterjee, H Fu, AK Goharshady ACM Transactions on Programming Languages and Systems (TOPLAS) 41 (4), 1-52, 2019 | 45 | 2019 |
Polynomial reachability witnesses via Stellensätze A Asadi, K Chatterjee, H Fu, AK Goharshady, M Mahdavi Proceedings of the 42nd ACM SIGPLAN International Conference on Programming …, 2021 | 35 | 2021 |
New approaches for almost-sure termination of probabilistic programs M Huang, H Fu, K Chatterjee Programming Languages and Systems: 16th Asian Symposium, APLAS 2018 …, 2018 | 32 | 2018 |
Quantitative analysis of assertion violations in probabilistic programs J Wang, Y Sun, H Fu, K Chatterjee, AK Goharshady Proceedings of the 42nd ACM SIGPLAN International Conference on Programming …, 2021 | 30 | 2021 |
Automated recurrence analysis for almost-linear expected-runtime bounds K Chatterjee, H Fu, A Murhekar International Conference on Computer Aided Verification, 118-139, 2017 | 30 | 2017 |
Computational approaches for stochastic shortest path on succinct MDPs K Chatterjee, H Fu, AK Goharshady, N Okati arXiv preprint arXiv:1804.08984, 2018 | 23 | 2018 |
Termination analysis of probabilistic programs with martingales K Chatterjee, H Fu, P Novotnę Foundations of Probabilistic Programming, 221-258, 2020 | 22 | 2020 |
Maximal cost-bounded reachability probability on continuous-time Markov decision processes H Fu Foundations of Software Science and Computation Structures: 17th …, 2014 | 17 | 2014 |
Computing game metrics on Markov decision processes H Fu Automata, Languages, and Programming: 39th International Colloquium, ICALP …, 2012 | 17* | 2012 |
Approximating acceptance probabilities of CTMC-paths on multi-clock deterministic timed automata H Fu Proceedings of the 16th international conference on Hybrid systems …, 2013 | 10 | 2013 |
Scalable linear invariant generation with Farkas’ lemma H Liu, H Fu, Z Yu, J Song, G Li Proceedings of the ACM on Programming Languages 6 (OOPSLA2), 204-232, 2022 | 9 | 2022 |
Deciding probabilistic simulation between probabilistic pushdown automata and finite-state systems M Huang, H Fu, JP Katoen Information and Computation 268, 104431, 2019 | 8* | 2019 |