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Sicun Gao
Sicun Gao
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Title
Cited by
Cited by
Year
dReal: An SMT Solver for Nonlinear Theories over the Reals
S Gao, S Kong, EM Clarke
Automated Deduction–CADE-24: 24th International Conference on Automated …, 2013
4622013
dReach: δ-Reachability Analysis for Hybrid Systems
S Kong, S Gao, W Chen, E Clarke
Tools and Algorithms for the Construction and Analysis of Systems: 21st …, 2015
3012015
δ-Complete Decision Procedures for Satisfiability over the Reals
S Gao, J Avigad, EM Clarke
Automated Reasoning: 6th International Joint Conference, IJCAR 2012 …, 2012
1992012
Neural lyapunov control
YC Chang, N Roohi, S Gao
Advances in neural information processing systems 32, 2019
1732019
Satisfiability modulo odes
S Gao, S Kong, EM Clarke
2013 Formal Methods in Computer-Aided Design, 105-112, 2013
1112013
A Non-prenex, Non-clausal QBF Solver with Game-State Learning.
W Klieber, S Sapra, S Gao, EM Clarke
SAT 6175, 128-142, 2010
942010
SMT-based nonlinear PDDL+ planning
D Bryce, S Gao, D Musliner, R Goldman
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
912015
Delta-decidability over the reals
S Gao, J Avigad, EM Clarke
2012 27th Annual IEEE Symposium on Logic in Computer Science, 305-314, 2012
892012
Counting zeros over finite fields with Gröbner bases
S Gao
Master’s thesis, Carnegie Mellon University, 2009
56*2009
Integrating ICP and LRA solvers for deciding nonlinear real arithmetic problems
S Gao, M Ganai, F Ivančić, A Gupta, S Sankaranarayanan, EM Clarke
Formal Methods in Computer Aided Design, 81-89, 2010
552010
Safe nonlinear control using robust neural lyapunov-barrier functions
C Dawson, Z Qin, S Gao, C Fan
Conference on Robot Learning, 1724-1735, 2022
342022
APEX: Autonomous vehicle plan verification and execution
M O'Kelly, H Abbas, S Gao, S Shiraishi, S Kato, R Mangharam
342016
Sreach: A probabilistic bounded delta-reachability analyzer for stochastic hybrid systems
Q Wang, P Zuliani, S Kong, S Gao, EM Clarke
Computational Methods in Systems Biology: 13th International Conference …, 2015
29*2015
How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies?
Q Vuong, S Vikram, H Su, S Gao, HI Christensen
arXiv preprint arXiv:1903.11774, 2019
282019
Delta-complete analysis for bounded reachability of hybrid systems
S Gao, S Kong, W Chen, E Clarke
arXiv preprint arXiv:1404.7171, 2014
282014
Releq: an automatic reinforcement learning approach for deep quantization of neural networks
A Elthakeb, P Pilligundla, FS Mireshghallah, A Yazdanbakhsh, S Gao, ...
NeurIPS ML for Systems workshop, 2018, 2019
272019
Parameter Synthesis for Cardiac Cell Hybrid Models Using δ-Decisions
B Liu, S Kong, S Gao, P Zuliani, EM Clarke
Computational Methods in Systems Biology: 12th International Conference …, 2014
23*2014
Active learning of many-body configuration space: Application to the Cs+–water MB-nrg potential energy function as a case study
Y Zhai, A Caruso, S Gao, F Paesani
The Journal of Chemical Physics 152 (14), 144103, 2020
212020
Automated vulnerability analysis of AC state estimation under constrained false data injection in electric power systems
S Gao, L Xie, A Solar-Lezama, D Serpanos, H Shrobe
2015 54th ieee conference on decision and control (cdc), 2613-2620, 2015
212015
Quantifier elimination over finite fields using Gröbner bases
S Gao, A Platzer, EM Clarke
Algebraic Informatics: 4th International Conference, CAI 2011, Linz, Austria …, 2011
202011
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