works on

From the 1 of 13 linked papers with an AI index.

activity
20172022
most citedReachable Set Computation and Safety Verification for Neural Networks with ReLU Activations

70 citations · 98 across the 10 of their papers we have counts for

collaborators

13 papers

cs.LG2022

Approximate Bisimulation Relations for Neural Networks and Application to Assured Neural Network Compression

Weiming Xiang, Zhongzhu Shao

In this paper, we propose a concept of approximate bisimulation relation for feedforward neural networks. In the framework of approximate bisimulation relation, a novel neural netw…

cs.LG2021

Robust Optimization Framework for Training Shallow Neural Networks Using Reachability Method

Yejiang Yang, Weiming Xiang

In this paper, a robust optimization framework is developed to train shallow neural networks based on reachability analysis of neural networks. To characterize noises of input data…

math.OC2021

Necessary and Sufficient Conditions for Stability of Discrete-Time Switched Linear Systems with Ranged Dwell Time

Weiming Xiang

This paper deals with the stability analysis problem of discrete-time switched linear systems with ranged dwell time. A novel concept called L-switching-cycle is proposed, which co…

eess.SY20211 cited

A Data-Driven Modeling Framework of Time-Dependent Switched Dynamical Systems via Extreme Learning Machine

Weiming Xiang

In this work, a data-driven modeling framework of switched dynamical systems under time-dependent switching is proposed. The learning technique utilized to model system dynamics is…

eess.SY20211 cited

Run-Time Safety Monitoring of Neural-Network-Enabled Dynamical Systems

Weiming Xiang

Complex dynamical systems rely on the correct deployment and operation of numerous components, with state-of-the-art methods relying on learning-enabled components in various stage…

cs.LG2020

Verification of Deep Convolutional Neural Networks Using ImageStars

Hoang-Dung Tran, Stanley Bak, Weiming Xiang +1

Convolutional Neural Networks (CNN) have redefined the state-of-the-art in many real-world applications, such as facial recognition, image classification, human pose estimation, an…