activity
20192024
most citedUnbounded-Time Safety Verification of Stochastic Differential Dynamics

1 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LO2022

Encoding inductive invariants as barrier certificates: synthesis via difference-of-convex programming

Qiuye Wang, Mingshuai Chen, Bai Xue +2

A barrier certificate often serves as an inductive invariant that isolates an unsafe region from the reachable set of states, and hence is widely used in proving safety of hybrid s…

cs.LO20211 cited

Synthesizing Invariant Barrier Certificates via Difference-of-Convex Programming

Qiuye Wang, Mingshuai Chen, Bai Xue +2

A barrier certificate often serves as an inductive invariant that isolates an unsafe region from the reachable set of states, and hence is widely used in proving safety of hybrid s…

math.DS20201 cited

Unbounded-Time Safety Verification of Stochastic Differential Dynamics

Shenghua Feng, Mingshuai Chen, Bai Xue +2

In this paper, we propose a method for bounding the probability that a stochastic differential equation (SDE) system violates a safety specification over the infinite time horizon.…

cs.FL2019

Learning One-Clock Timed Automata

Jie An, Mingshuai Chen, Bohua Zhan +2

We present an algorithm for active learning of deterministic timed automata with a single clock. The algorithm is within the framework of Angluin's algorithm and inspired by…

cs.LO2019

NIL: Learning Nonlinear Interpolants

Mingshuai Chen, Jian Wang, Jie An +3

Nonlinear interpolants have been shown useful for the verification of programs and hybrid systems in contexts of theorem proving, model checking, abstract interpretation, etc. The…