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<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en">
<head>
<title>Yufan Zheng's Homepage</title>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<meta name="description" content="Yufan Zheng is currently a senior student at Nanfang College of Sun Yat-sen University">
<meta name="keywords" content="Yufan Zheng, Machine Learning, Time Series">
<meta name="author" content="Yufan Zheng" />
<link rel="stylesheet" href="w3.css">
<style>
.w3-sidebar a {font-family: "Times New Roman", serif}
body,h1,h2,h3,h4,h5,h6,.w3-wide {font-family: "Times New Roman", serif;}
div{margin:20px;border:0;padding:0;}
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<link rel="icon" type="image/png" href="img/icons.png">
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<body class="w3-content" style="max-width:1000px">
<!-- Sidebar/menu -->
<nav class="w3-sidebar w3-bar-block w3-black w3-collapse w3-top w3-right" style="z-index:3;width:170px" id="mySidebar">
<div class="w3-container w3-display-container w3-padding-16">
<h3><b>Content</b></h3>
</div>
<div class="w3-padding-64 w3-text-light-grey w3-large" style="font-weight:bold">
<a href="#home" class="w3-bar-item w3-button">Home</a>
<a href="#news" class="w3-bar-item w3-button">News</a>
<a href="#projects" class="w3-bar-item w3-button">Researchs</a>
<a href="#talks" class="w3-bar-item w3-button">Talks</a>
<a href="#publications" class="w3-bar-item w3-button">Publications</a>
<a href="#service" class="w3-bar-item w3-button">Services</a>
<a href="#award" class="w3-bar-item w3-button">Awards</a>
<a href="./blog.html" class="w3-bar-item w3-button">Blog</a>
</div>
</nav>
<!-- Top menu on small screens -->
<header class="w3-bar w3-top w3-hide-large w3-black w3-xlarge">
<div class="w3-bar-item w3-padding-24">Content</div>
<a href="javascript:void(0)" class="w3-bar-item w3-button w3-padding-24 w3-right" style="font-stretch: extra-expanded;" onclick="w3_open()"><b>≡</b></a>
</div>
</header>
<!-- Overlay effect when opening sidebar on small screens -->
<div class="w3-overlay w3-hide-large" onclick="w3_close()" style="cursor:pointer" title="close side menu" id="myOverlay"></div>
<!-- !PAGE CONTENT! -->
<div class="w3-main" style="margin-left:150px">
<!-- Push down content on small screens -->
<div class="w3-hide-large" style="margin-top:83px"></div>
<!-- The Home Section -->
<div class="w3-container w3-center w3-padding-32" id="home">
<img style="width: 40%;max-width: 160px" alt="profile photo" src="img/ZYF.jpg">
<h1>Yufan Zheng (Rory)</h1>
<p class="w3-justify" style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;max-width:600px">
I am a senior undergrad student at <a href="https://www.nfu.edu.cn/">Nanfang College of Sun Yat-sen University in Guangzhou, China</a>. I am currently an intern at <a href="https://www.ciachiam.cn/">Huangpu Institute of Materials</a>. My majoy is Computer Science and Technology.
I was advised by <a href="https://scholar.google.com/citations?user=CQjEUkAAAAAJ">Prof. Choujun Zhan</a> in <a href="https://www.labxing.com/gnfc-ai-lab">Research Institute of Big Data and Artificial Intelligence (RIBDAI)</a>.
My current research focuses on <b>time series analysis</b> and <b>epidemic transmission modeling</b>. I work on applying artificial intelligence to industry and public health. I am looking for a <b>PhD/Ra</b> position starting in the 2023 fall. Please feel free to contact me by email.
<!--
For My PhD Applications: Statement of Purpose and Research Proposal.
-->
</p>
<p class="w3-center">
<a>Email: [email protected]</a>  / 
<a href="https://scholar.google.com.hk/citations?user=btkYKNAAAAAJ&hl=zh-CN">Google Scholar</a>  / 
<a href="https://github.com/YufanZheng"> Github </a>  / 
<a href="data/YufanZheng_CV_20220522.pdf"> CV </a>
</p>
<p class="w3-center"> The art of living is to know when to hold fast and when to let go. </p>
</tbody></table>
</div>
<!-- The News Section -->
<div class="w3-container w3-light-grey w3-padding-32" id="news">
<h2>News</h2>
<p><li> 05/2022, One conference paper was accepted on <a href="https://dl2link.com/ncaa2022/">2022 International Conference on Neural Computing for Advanced Applications</a>. </li></p>
<p><li> 04/2022, Three conference papers were published on <a href="http://www.iske2021.org/">2021 16th international conference on intelligent systems and knowledge engineering (ISKE)</a>. </li></p>
<p><li> 03/2022, I became an intern at <a href="https://www.ciachiam.cn/">Huangpu Institute of Materials</a>. </li></p>
</div>
<!-- The Projects Section -->
<div class="w3-container w3-padding-32" id="projects">
<h2>Researchs</h2>
<p class="w3-left-align" style="line-height:200%">
I am interested in <b>Time-series</b>, <b>Machine learning</b>, <b>Deep learning</b>, <b>Complex network</b>, <b>Evolutionary algorithms</b>. My current focuses include:
</p>
<li><a>(1) Epidemiological dynamics modeling</a></li>
<li><a>(2) Decision optimization of epidemic prevention measures</a></li>
<li><a>(3) Time series analysis and prediction modeling</a></li>
<br>
<!--
<!--------------Epidemiology and Medicine study--------------->
<h3><li>1. Epidemiology and Medicine study</li></h3>
<!----------------------------->
<h4><li>Prediction and description on COVID-19 epidemic transmission</li></h4>
<p>
<li><b> Machine learning and epidemiological dynamics-based prediction of COVID-19 transmission</b> </li>
</p>
<p class="w3-justify">
<b>Research significance and aim :</b>
<br>
<br>
<b>Research achievements : </b>
<br>
(1)
<br>
(2)
</p>
<!----------------------------->
<p>
<li><b> COVID-19 impact estimation based on machine learning and econometrics</b> </li>
</p>
<p class="w3-justify">
<b>Research significance and aim :</b>
<br>
<br>
<b>Research achievements : </b>
<br>
(1)
<br>
(2)
</p>
<!--------------2. Entertainment media study: movie, video game, and online game--------------->
<h3><li>2. Entertainment media study: movie, video game, and online game</li></h3>
<!----------------------------->
<h4><li>Research on Film Industry</li></h4>
<p>
<li><b> Box office analysis and prediction based on machine learning and deep learning</b> </li>
</p>
<p class="w3-justify">
<b>Research significance and aim :</b>
<br>
<br>
<b>Research achievements : </b>
<br>
(1)
<br>
(2)
</p>
<!----------------------------->
<h4><li>Research on Video Game Industry</li></h4>
<p>
<li><b> Predicting video game sales based on machine learning : a hybrid feature selection method</b> </li>
</p>
<p class="w3-justify">
<b>Research significance and aim :</b>
<br>
The video game is an electronic equipment-based interactive game. This distinguishes video game sales from traditional sales in that it does not require consideration of inventory; instead, it only requires an understanding of game demand in order to assist producers in making effective sales modifications. The focus of this research is to use big data and artificial intelligence to build forecast models for future video game sales changes.
<br>
<b>Research achievements : </b>
<br>
(1) A dataset containing historical video game sales research from 1970 to 2018 for 37,841 games and 17 gaming platforms in Japan, Europe, and the US was collected and built from <a href="https://www.vgchartz.com/">VGChartz</a> using data mining data cleaning techniques.
<br>
(2) A novel feature selection method was proposed for video game sales forecasting.
</p>
<!----------------------------->
<h4><li>Research on Online Game Platform</li></h4>
<p>
<li><b> Prediction of online player numbers based on machine learning and driven by steam platform's online game data </b> </li>
</p>
<p class="w3-justify">
<b>Research significance and aim :</b>
<br>
Online gaming has become a part of modern people's entertainment lives. And what factors influence the success of a game is a key concern for all game developers and operators. By digging deeper into the game's data, it is possible to better cater to the needs of Steam platform players and thus maximise the benefits of the game. The number of players online for an online game symbolises its popularity. In this study, machine learning and big data-driven modelling are used to build a predictive model of a game's online player count to help game developers and operators better understand the future popularity of different games.
<br>
<b>Research achievements : </b>
<br>
(1) Historical data and game attributes for 4,319 online games from 2003 to July 2020 were obtained from <a href="https://store.steampowered.com/">Steam</a> using big data techniques, culminating in the creation of an online game time series research dataset using cleaning techniques in data mining.
<br>
(2) Historical data for 51,914 online games from 2003 to May 2020 were obtained from <a href="https://steamcharts.com/">Steamcharts</a> using big data techniques, and eventually the online game time series study dataset was built using cleaning techniques in data mining.
</p>
-->
</div>
<!-- The Publications Section -->
<div class="w3-container w3-padding-32" id="publications">
<h2>Publications</h2>
<h4><strong>Journal Papers:</strong></h4>
<ol>
<p>
<li>
<a href="https://ieeexplore.ieee.org/document/9380648/">
<strong>Random-Forest-Bagging Broad Learning System with Applications for COVID-19 Pandemic</strong>
</a>
<br>
<a href="https://scholar.google.com/citations?user=CQjEUkAAAAAJ">Choujun Zhan</a>,
<strong>Yufan Zheng</strong>,
<a href="https://scholar.google.com/citations?hl=en&user=XEiWEDAAAAAJ">Haijun Zhang</a>,
<a href="https://www.researchgate.net/scientific-contributions/Quansi-Wen-2157669220">Quansi Wen</a>
<br>
<a href="https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6488907">IEEE Internet of Things Journal</a> | Mar 2021 | <a href="bib/zhan2021random.bib">Bibtex</a>
<br />
<br />
</p>
<p>
<li>
<a href="https://link.springer.com/article/10.1007/s00521-020-05285-9">
<strong>Identifying epidemic spreading dynamics of COVID-19 by pseudocoevolutionary simulated annealing optimizers</strong>
</a>
<br>
<a href="https://scholar.google.com/citations?user=CQjEUkAAAAAJ">Choujun Zhan</a>,
<strong>Yufan Zheng</strong>,
<a href="https://scholar.google.com.hk/citations?user=eUJqqJYAAAAJ">Zhikang Lai</a>,
<a href="https://dblp.org/pid/81/6701.html">Tianyong Hao</a>,
<a>Bing Li</a>
<br>
<a href="https://www.springer.com/journal/521">Neural Computing and Applications</a> | Mar 2020 | <a href="bib/zhan2021identifying.bib">Bibtex</a>
<br />
<br />
</p>
</ol>
<h4> <strong>Conference Papers :</strong></h4>
<ol>
<p>
<li>
<a href="https://ieeexplore.ieee.org/abstract/document/9755401">
<strong>COVID-19’s impact on the Box office: Machine Learning and Difference-in-Difference</strong>
</a>
<br>
<strong>Yufan Zheng</strong>,
<a>Qiaoling Zhen</a>,
<a>Minghao Tan</a>,
<a>Haoran Hu</a>,
<a href="https://scholar.google.com/citations?user=CQjEUkAAAAAJ">Choujun Zhan</a>
<br>
<a href="http://www.iske2021.org/">2021 16th international conference on intelligent systems and knowledge engineering (ISKE)</a> | Nov 2021 | <a href="bib/xxx.bib">Bibtex</a>
<br />
<br />
</p>
<p>
<li>
<a href="https://ieeexplore.ieee.org/abstract/document/9755321/">
<strong>Detection Capability Prediction Based on Broad Learning System During The COVID-19 Pandemic</strong>
</a>
<br>
<a>Junyan Lin</a>,
<a>Minghao Tan</a>,
<strong>Yufan Zheng</strong>,
<a>Kaihan Wu</a>,
<a href="https://scholar.google.com/citations?user=CQjEUkAAAAAJ">Choujun Zhan</a>
<br>
<a href="http://www.iske2021.org/">2021 16th international conference on intelligent systems and knowledge engineering (ISKE)</a> | Nov 2021 | <a href="bib/xxx.bib">Bibtex</a>
<br />
<!--
<p> xxx.</p>
-->
<br />
</p>
<p>
<li>
<a href="https://ieeexplore.ieee.org/abstract/document/9755343/">
<strong>Predicting video game sales based on machine learning and hybrid based feature selection</strong>
</a>
<br>
<a>Jianbing Li</a>,
<strong>Yufan Zheng</strong>,
<a>Haoran Hu</a>,
<a>Junhui Lu</a>,
<a href="https://scholar.google.com/citations?user=CQjEUkAAAAAJ">Choujun Zhan</a>
<br>
<a href="http://www.iske2021.org/">2021 16th international conference on intelligent systems and knowledge engineering (ISKE)</a> | Nov 2021 | <a href="bib/xxx.bib">Bibtex</a>
<br />
<!--
<p> xxx.</p>
-->
<br />
</p>
<p>
<li>
<a href="xx">
<strong>The impact of COVID-19 on online games: Machine learning and Difference-In-Difference</strong>
</a>
<br>
<a>Shuangyan Wu</a>,
<a>Haoran Hu</a>,
<strong>Yufan Zheng</strong>,
<a>Qiaoling Zhen</a>,
<a>Shuntao Zhang</a>,
<a href="https://scholar.google.com/citations?user=CQjEUkAAAAAJ">Choujun Zhan</a>
<br>
<a href="https://conf.ccf.org.cn/web/api/m8403868955559895041620405449534.action">CCF Conference on Computer Supported Cooperative Work and Social Computing</a> | Sep 2021 | <a href="bib/xxx.bib">Bibtex</a>
<br />
<!--
<p> xxx.</p>
-->
<br />
</p>
<p>
<li>
<a href="https://ieeexplore.ieee.org/document/8958631">
<strong>Movie box office prediction based on ensemble learning</strong>
</a>
<br>
<a>Shuangyan Wu</a>,
<strong>Yufan Zheng</strong>,
<a href="https://scholar.google.com.hk/citations?user=eUJqqJYAAAAJ">Zhikang Lai</a>,
<a>Fujian Wu</a>,
<a href="https://scholar.google.com/citations?user=CQjEUkAAAAAJ">Choujun Zhan</a>
<br>
<a href="https://ieeexplore.ieee.org/xpl/conhome/8954856/proceeding">IEEE Symposium on Product Compliance Engineering - Asia (ISPCE-CN)</a> | Oct 2019 | <span style="color:rgb(240, 63, 63)"> Oral Presentation</span> | <a href="bib/wu2019movie.bib">Bibtex</a>
<br />
<!--
<p> We built a predictive model using film data from 1980 to 2018 and machine learning methods, including the Ensemble learning algorithm.</p>
-->
<br />
</p>
</ol>
</p>
</div>
<!-- The Talks Section -->
<div class="w3-container w3-light-grey w3-padding-32" id="talks">
<h2>Talks</h2>
<p><li> Oct 2019, <a href="https://ieeexplore.ieee.org/document/8958631">"Movie box office prediction based on ensemble learning"</a> at <a href="https://ieeexplore.ieee.org/xpl/conhome/8954856/proceeding">ISPCE-CN 2019</a></li></p>
</div>
<!-- The Services Section -->
<div class="w3-container w3-light-grey w3-padding-32" id="service">
<h2>Services</h2>
<p><li> Aug 2021, Volunteer of <a href="https://dl2link.com/ncaa2021/">International Conference on Neural Computing for Advanced Applications 2021 (NCAA 2021)</a></li></p>
<p><li> Mar 2019 - Present, Research Assistant of Research Institute of Big Data and Artificail Intelligence (RIBDAI), Nanfang College of Sun Yat-sen University in Guangzhou</li></p>
</div>
<!-- The Awards Section -->
<div class="w3-container w3-padding-32" id="award">
<h2>Awards</h2>
<p><li>2020-2021, Third prize Scholarship(awarded to the top 20%)</li></p>
<p><li>Oct 2021, Third prize in 2021 China Undergraduate Mathematical Contest in Modeling</li></p>
<p><li>Aug 2021, Best Volunteer in International Conference on Neural Computing for Advanced Applications 2021</li></p>
<p><li>2019 - 2020, National Scholarship</li></p>
<p><li>2019 - 2020, Second prize Scholarship(awarded to the top 6%)</li></p>
<p><li>Oct 2019, Merit award conference paper in 2019 IEEE International Symposium on Product Compliance Engineering-Asia</li></p>
</div>
<!-- The Thanks Section -->
<div class="w3-light-grey w3-center w3-padding-24">
Welcome to use this website's <a href="https://github.com/YunheWang/HomePage">source code</a>, just add a link back to here. <a href="https://www.wangyunhe.site/">✩</a></br>
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Update Time : 2022-04-14
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