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<!DOCTYPE HTML>
<html>
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<title>Home</title>
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<div id="fh5co-logo"><a href="home.html">MLNBA-Machine Learning & Network Behavior Analysis Lab</a></div>
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<li class="active"><a href="home.html">Home</a></li>
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<h1>University of Jinan</h1>
<a href="http://ujn.edu.cn/" target="_blank"><h2>ujn.edu.cn</h2></a>
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<h2>The invisible world of mankind is not an illusion of fantasy, but a reality illuminated by the brilliance of science. ——Marie Curie</h2>
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<h2>Welcome!</h2>
</br></br>
<span> The machine learning and network behavior analysis lab (MLNBA) in the School of Information Science and Engineering at University of Jinan is directed by Prof. Lizhi Peng. The lab conducts research mainly on machine learning, evolutionary computing, computer networks, parallel and distributed computing. Recently, we are focusing on building an unhealthy vedio detection system based on the properties of video traffic.</br>
We are looking for extensive international collaborators and welcome scholars from the world to visit our Lab.</span>
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<span class="date">April 10, 2020</span>
<h3>Paper Accepted</h3>
<p>Our paper "Gaussian Distribution based Oversampling for Imbalanced Data Classification" is accepted to the journal of <strong> IEEE Transactions on Knowledge and Data Engineering</strong>!</p>
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<span class="date">April 3, 2019</span>
<h3>Paper Accepted</h3>
<p>Our paper "Generative Learning for Imbalanced Data Using the Gaussian Mixed Model" is accepted to the journal of <strong>Applied Soft Computing</strong>!</p>
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<span class="date">March 21, 2019</span>
<h3><a href="#">Message From God</a></h3>
<p>Our paper "Imbalanced Data Gravitation Classification Model Using For Internet Video Traffic Identification" is accepted for publication in the conference of 2019 IEEE BigDataSecurity! </p>
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<span class="date">January 24, 2019</span>
<h3><a href="#">Paper Published</a></h3>
<p>Our paper "Imbalanced learning based on adaptive weighting and Gaussian function synthesizing with an application on Android malware detection" is published online by the journal of <strong>Information Sciences</strong>!</p>
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