activity
20142023
most citedReachNN: Reachability Analysis of Neural-Network Controlled Systems

27 citations · 33 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2023

Specializing Small Language Models towards Complex Style Transfer via Latent Attribute Pre-Training

Ruiqi Xu, Yongfeng Huang, Xin Chen +1

In this work, we introduce the concept of complex text style transfer tasks, and constructed complex text datasets based on two widely applicable scenarios. Our dataset is the firs…

eess.SY2023

POLAR-Express: Efficient and Precise Formal Reachability Analysis of Neural-Network Controlled Systems

Yixuan Wang, Weichao Zhou, Jiameng Fan +6

Neural networks (NNs) playing the role of controllers have demonstrated impressive empirical performances on challenging control problems. However, the potential adoption of NN con…

eess.SY2021★ 5 cited

POLAR: A Polynomial Arithmetic Framework for Verifying Neural-Network Controlled Systems

Chao Huang, Jiameng Fan, Zhilu Wang +6

We present POLAR, a polynomial arithmetic-based framework for efficient bounded-time reachability analysis of neural-network controlled systems (NNCSs). Existing approaches that le…

eess.SY2019★ 27 cited

ReachNN: Reachability Analysis of Neural-Network Controlled Systems

Chao Huang, Jiameng Fan, Wenchao Li +2

Applying neural networks as controllers in dynamical systems has shown great promises. However, it is critical yet challenging to verify the safety of such control systems with neu…

math.DS2014★ 1 cited

Linear Relaxations of Polynomial Positivity for Polynomial Lyapunov Function Synthesis

Mohamed Amin Ben Sassi, Sriram Sankaranarayanan, Xin Chen +1

In this paper, we examine linear programming (LP) based relaxations for synthesizing polynomial Lyapunov functions to prove the stability of polynomial ODEs. A common approach to L…