activity
20172019
most citedA novel type of Automata for dynamic, heterogeneous and random architectures

1 citations · 2 across the 6 of their papers we have counts for

collaborators

9 papers

cs.LO2019

Experimental Study on CTL model checking using Machine Learning

Weijun ZHU

The existing core methods, which are employed by the popular CTL model checking tools, are facing the famous state explode problem. In our previous study, a method based on the Mac…

cs.LO2019

Predicting the Results of LTL Model Checking using Multiple Machine Learning Algorithms

Weijun Zhu, Mingliang Xu, Jianwei Wang

In this paper, we study how to predict the results of LTL model checking using some machine learning algorithms. Some Kripke structures and LTL formulas and their model checking re…

cs.CR2018

On the model-checking-based IDS

Weijun Zhu

How to identify the comprehensive comparable performance of various Intrusion Detection (ID) algorithms which are based on the Model Checking (MC) techniques? To address this open…

cs.LO2018

Approximate LTL model checking

Weijun Zhu, Jianwei Wang, Yongwen Fan

The state explosion problem and the exponentially computational complexity restrict the further applications of LTL model checking. To this end, this study tries to seek an accepta…

q-bio.QM2018

Analyzing DNA Hybridization via machine learning

Weijun Zhu

In DNA computing, it is impossible to decide whether a specific hybridization among complex DNA molecules is effective or not within acceptable time. In order to address this commo…

cs.FL2018

Some Issues on the Theory of the Mimic-Computing-Oriented Automata

Weijun Zhu

A mimic computing oriented automaton can directly portray the behaviors of a mimic computing system. In this paper, we investigate the following theoretical problems on this type o…