activity
20152024
most citedLearning One-Clock Timed Automata

3 citations · 10 across the 12 of their papers we have counts for

collaborators

15 papers

cs.LO2024★ 1 cited

Parf: Adaptive Parameter Refining for Abstract Interpretation

Zhongyi Wang, Linyu Yang, Mingshuai Chen +6

The core challenge in applying abstract interpretation lies in the configuration of abstraction and analysis strategies encoded by a large number of external parameters of static a…

cs.LG2024

HORAE: A Domain-Agnostic Language for Automated Service Regulation

Yutao Sun, Mingshuai Chen, Tiancheng Zhao +8

Artificial intelligence is rapidly encroaching on the field of service regulation. However, existing AI-based regulation techniques are often tailored to specific application domai…

cs.PL2023★ 1 cited

Exact Bayesian Inference for Loopy Probabilistic Programs using Generating Functions

Lutz Klinkenberg, Christian Blumenthal, Mingshuai Chen +2

We present an exact Bayesian inference method for inferring posterior distributions encoded by probabilistic programs featuring possibly unbounded loops. Our method is built on a d…

cs.LO2023

Lower Bounds for Possibly Divergent Probabilistic Programs

Shenghua Feng, Mingshuai Chen, Han Su +3

We present a new proof rule for verifying lower bounds on quantities of probabilistic programs. Our proof rule is not confined to almost-surely terminating programs -- as is the ca…

cs.PL2023

Exact Probabilistic Inference Using Generating Functions

Lutz Klinkenberg, Tobias Winkler, Mingshuai Chen +1

Probabilistic programs are typically normal-looking programs describing posterior probability distributions. They intrinsically code up randomized algorithms and have long been at…

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.CR2022

PA-Boot: A Formally Verified Authentication Protocol for Multiprocessor Secure Boot

Zhuoruo Zhang, Rui Chang, Mingshuai Chen +5

Hardware supply-chain attacks are raising significant security threats to the boot process of multiprocessor systems. This paper identifies a new, prevalent hardware supply-chain a…

cs.LO2022★ 1 cited

Does a Program Yield the Right Distribution? Verifying Probabilistic Programs via Generating Functions

Mingshuai Chen, Joost-Pieter Katoen, Lutz Klinkenberg +1

We study discrete probabilistic programs with potentially unbounded looping behaviors over an infinite state space. We present, to the best of our knowledge, the first decidability…

cs.LO2022

Probabilistic Program Verification via Inductive Synthesis of Inductive Invariants

Kevin Batz, Mingshuai Chen, Sebastian Junges +3

Essential tasks for the verification of probabilistic programs include bounding expected outcomes and proving termination in finite expected runtime. We contribute a simple yet eff…

cs.LO2021★ 1 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.DS2020★ 1 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★ 3 cited

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★ 1 cited

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…

cs.LO2016★ 1 cited

Interpolation synthesis for quadratic polynomial inequalities and combination with EUF

Ting Gan, Liyun Dai, Bican Xia +3

An algorithm for generating interpolants for formulas which are conjunctions of quadratic polynomial inequalities (both strict and nonstrict) is proposed. The algorithm is based on…

cs.PL2015

On Termination of Polynomial Programs with Equality Conditions

Yangjia Li, Naijun Zhan, Mingshuai Chen +3

We investigate the termination problem of a family of multi-path polynomial programs (MPPs), in which all assignments to program variables are polynomials, and test conditions of l…