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20112026
most citedSolving QBF with Counterexample Guided Refinement

150 citations · 341 across the 17 of their papers we have counts for

collaborators

17 papers

cs.LO2026★ 150 cited

Solving QBF with Counterexample Guided Refinement

Mikoláš Janota, William Klieber, Joao Marques-Silva +1

We propose two novel approaches for using Counterexample-Guided Abstraction Refinement (CEGAR) in Quantified Boolean Formula (QBF) solvers. The first approach develops a recursive…

q-bio.QM2016★ 2 cited

Formal Modeling and Analysis of Pancreatic Cancer Microenvironment

Qinsi Wang, Natasa Miskov-Zivanov, Bing Liu +3

The focus of pancreatic cancer research has been shifted from pancreatic cancer cells towards their microenvironment, involving pancreatic stellate cells that interact with cancer…

cs.PL2015

Optimizing Solution Quality in Synchronization Synthesis

Pavol Černý, Edmund M. Clarke, Thomas A. Henzinger +4

Given a multithreaded program written assuming a friendly, non-preemptive scheduler, the goal of synchronization synthesis is to automatically insert synchronization primitives to…

cs.PL2015★ 3 cited

From Non-preemptive to Preemptive Scheduling using Synchronization Synthesis

Pavol Černý, Edmund M. Clarke, Thomas A. Henzinger +4

We present a computer-aided programming approach to concurrency. The approach allows programmers to program assuming a friendly, non-preemptive scheduler, and our synthesis procedu…

q-bio.QM2014★ 13 cited

Towards Personalized Prostate Cancer Therapy Using Delta-Reachability Analysis

Bing Liu, Soonho Kong, Sicun Gao +2

Recent clinical studies suggest that the efficacy of hormone therapy for prostate cancer depends on the characteristics of individual patients. In this paper, we develop a computat…

cs.LO2014

Proof Generation from Delta-Decisions

Sicun Gao, Soonho Kong, Edmund Clarke

We show how to generate and validate logical proofs of unsatisfiability from delta-complete decision procedures that rely on error-prone numerical algorithms. Solving this problem…