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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Yuxuan (Shauna) Hu</title>
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<body>
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- #MAIN
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<main>
<!--
- #SIDEBAR
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<aside class="sidebar" data-sidebar>
<div class="sidebar-info">
<figure class="avatar-box">
<img src="./assets/images/my-avatar.jpg" alt="Yuxuan Hu" width="80">
</figure>
<div class="info-content">
<h1 class="name" title="Yuxuan Hu">Yuxuan (Shauna) Hu</h1>
<div class="title-tags">
<p class="title">Ph.D. in Computer Science</p>
<p class="title">Data Engineer</p>
<p class="title">AI Researcher</p>
</div>
</div>
<button class="info_more-btn" data-sidebar-btn>
<span>Show Contacts</span>
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<div class="separator"></div>
<ul class="contacts-list">
<li class="contact-item">
<div class="icon-box">
<ion-icon name="mail-outline"></ion-icon>
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<p class="contact-title">Email</p>
<a href="mailto:yuxuanhu94@hotmail.com" class="contact-link">yuxuanhu94@hotmail.com</a>
</div>
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<li class="contact-item">
<div class="icon-box">
<ion-icon name="location-outline"></ion-icon>
</div>
<div class="contact-info">
<p class="contact-title">Location</p>
<address>Hobart, Tasmania, Australia</address>
</div>
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<ul class="social-list">
<li class="social-item">
<a href="https://scholar.google.com/citations?user=15g3nGsAAAAJ" class="social-link">
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<a href="https://www.linkedin.com/in/yuxuan-shauna-hu/?locale=en_US" class="social-link">
<ion-icon name="logo-linkedin"></ion-icon>
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</aside>
<!--
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<div class="main-content">
<!--
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<nav class="navbar">
<ul class="navbar-list">
<li class="navbar-item">
<button class="navbar-link active" data-nav-link>About</button>
</li>
<li class="navbar-item">
<button class="navbar-link" data-nav-link>Resume</button>
</li>
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<button class="navbar-link" data-nav-link>Publications</button>
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<!--
- #ABOUT
-->
<article class="about active" data-page="about">
<header>
<h2 class="h2 article-title">About me</h2>
</header>
<section class="about-text">
<p>
Hi! Thank you for visiting my personal website!
</p>
<p>
I'm a Ph.D. from the AI group of School of Information and Communication Technology,
University of Tasmania.
Currently, I am a Data Engineer working at the Integrated Marine Observing System.
My work primarily involves designing and developing Machine Learning and Artificial Intelligence solutions to meet business needs.
</p>
<p>
My research focuses on utilizing AI techniques like <b>Agent-based Modeling</b> and <b>Recommendation Systems</b> to do <b>Social Network Analysis</b> and to identify and mitigate emerging patterns in social networks.
These patterns arise from interactions among agents, which we refer to as "influence."
Investing how individuals' behaviours influence others helps us to understand how information, trends, or opinions spread throughout networks.
</p>
<p>
My specific focus lies in tackling critical challenges related to the filter bubble and echo chamber effects in social networks.
Imagine a social network as a bustling restaurant, offering a wide variety of information "diets" on its menu. However, within this digital restaurant, there lurk some "evil" waiters known as the filter bubble and echo chamber phenomena.
These devious waiters, if not recognized, can guide you towards consuming a less balanced and diverse set of information.
Being aware of these "evil" waiters is vital to avoid falling into the trap of consuming only biased or one-sided information ,fostering a more informed, open, and balanced understanding of the world around us.
</p>
<p>Please refer to my resume for more details.</p>
</section>
</article>
<!--
- #RESUME
-->
<article class="resume" data-page="resume">
<header>
<h2 class="h2 article-title">Resume</h2>
</header>
<section class="timeline">
<div class="title-wrapper">
<div class="icon-box">
<ion-icon name="book-outline"></ion-icon>
</div>
<h3 class="h3">Education</h3>
</div>
<ol class="timeline-list">
<li class="timeline-item">
<h4 class="h4 timeline-item-title">Doctor of Philosophy (Information Technology)</h4>
<span>University of Tasmania, Hobart, Tasmania, Australia</span>
<span>Aug 2019 - March 2024</span>
<p class="timeline-text">
School of Information and Communication Technology, College of Sciences and Engineering
</p>
<p class="timeline-text">
<b>Dissertation Topic</b>: Influence-based Detection and Mitigation of Ideological Isolation in Online Social Networks</p>
</li>
<li class="timeline-item">
<h4 class="h4 timeline-item-title">Master of Engineering Studies (Electrical and Electronic)</h4>
<span>University of Auckland, Auckland, New Zealand</span>
<span>Feb 2017 - Jan 2018</span>
<p class="timeline-text">
Centre for Automation and Robotic Engineering Science, Faculty of Engineering
</p>
<p class="timeline-text">
<b>Research Project</b>: End User Programming Tool for Robogen2
</p>
</li>
<li class="timeline-item">
<h4 class="h4 timeline-item-title">Bachelor of Engineering (Electronic Information)</h4>
<span>Hunan Normal University, Changsha, Hunan, China</span>
<span>Sep 2012 - Jun 2016</span>
<p class="timeline-text">
Collage of Engineering and Design
</p>
</li>
</ol>
</section>
<section class="experience">
<div class="title-wrapper">
<div class="icon-box">
<ion-icon name="people-outline"></ion-icon>
</div>
<h3 class="h3">Experience</h3>
</div>
<ol class="experience-list">
<li class="experience-item">
<h4 class="h4 experience-item-title">Data Engineer</h4>
<span>Integrated Marine Observing System, Hobart, Tasmania, Australia</span>
<span>March 2024 – Present</span>
</li>
<li class="experience-item">
<h4 class="h4 experience-item-title">Academic Tutor</h4>
<span>Auckland University of Technology, Auckland, New Zealand</span>
<span>July 2018 – July 2019</span>
</li>
<li class="experience-item">
<h4 class="h4 experience-item-title">Red Cross Shop Volunteer</h4>
<span>Hobart Red Cross Shop, Hobart, Tasmania, Australia</span>
<span>June 2023 - Present</span>
</li>
</ol>
</section>
<section class="experience">
<div class="title-wrapper">
<div class="icon-box">
<ion-icon name="heart-outline"></ion-icon>
</div>
<h3 class="h3">Professional Services</h3>
</div>
<ol class="experience-list">
<li class="experience-item">
<p class="experience-text">
<b>PC Member,</b> 2026 Principle and practice of data and Knowledge Acquisition Workshop (PKAW), November 2026.
</p>
</li>
<li class="experience-item">
<p class="experience-text">
<b>Organizing Chair,</b> the 25th International Symposium on Knowledge and Systems Sciences (KSS), November 2026.
</p>
</li>
<li class="experience-item">
<p class="experience-text">
<b>Reviewer,</b> Scientific Reports, November 2025.
</p>
</li>
<li class="experience-item">
<p class="experience-text">
<b>PC Member,</b> 2025 Principle and practice of data and Knowledge Acquisition Workshop (PKAW), November 2025.
</p>
</li>
<li class="experience-item">
<p class="experience-text">
<b>Reviewer,</b> Journal of network and computer applications, March 2025.
</p>
</li>
<li class="experience-item">
<p class="experience-text">
<b>Reviewer,</b> Human-centric intelligent systems, December 2024.
</p>
</li>
<li class="experience-item">
<p class="experience-text">
<b>PC Member,</b> 2024 Principle and practice of data and Knowledge Acquisition Workshop (PKAW), November 2024.
</p>
</li>
<li class="experience-item">
<p class="experience-text">
<b>Workshop Chair,</b> the 2024 Workshop on AI-empowered Systems Simulation (WASS 2024), November 2024.
</p>
</li>
<li class="experience-item">
<p class="experience-text">
<b>Organizing Committee Chair,</b> the 23rd International Symposium on Knowledge and Systems Sciences (KSS), November 2024.
</p>
</li>
<li class="experience-item">
<p class="experience-text">
<b>PC Member, </b> 2023 Principle and practice of data and Knowledge Acquisition Workshop (PKAW), November 2023.
</p>
</li>
<li class="experience-item">
<p class="experience-text">
<b>Reviewer, </b> the 19th Pacific Rim International Conference on Artificial Intelligence (PRICAI), November 2022.
</p>
</li>
<li class="experience-item">
<p class="experience-text">
<b>Reviewer, </b> the 16th Pacific Rim International Conference on Artificial Intelligence (PRICAI), August 2019.
</p>
</li>
<li class="experience-item">
<p class="experience-text">
<b>Reviewer, </b> the 21st International Conference on Principles and Practice of Multi-Agent Systems (PRIMA), November 2018.
</p>
</li>
</ol>
</section>
</article>
<!--
- # Publication
-->
<article class="blog" data-page="publications">
<header>
<h2 class="h2 article-title">Publications</h2>
</header>
<section class="research-focus">
<div class="title-wrapper">
<div class="icon-box">
<ion-icon name="telescope-outline"></ion-icon>
</div>
<h3 class="h3">Research Focus</h3>
</div>
<div class="research-grid">
<div class="research-card">
<div class="research-card-icon">
<ion-icon name="share-social-outline"></ion-icon>
</div>
<h4 class="research-card-title">Social Networks</h4>
<p class="research-card-text">Modelling influence diffusion and network dynamics in online social networks.</p>
</div>
<div class="research-card">
<div class="research-card-icon">
<ion-icon name="git-network-outline"></ion-icon>
</div>
<h4 class="research-card-title">Agent-Based Modelling</h4>
<p class="research-card-text">Simulating through autonomous agents to study emergent collective behaviour in complex systems.</p>
</div>
<div class="research-card">
<div class="research-card-icon">
<ion-icon name="hardware-chip-outline"></ion-icon>
</div>
<h4 class="research-card-title">Multi-Agent Systems</h4>
<p class="research-card-text">Designing autonomous agents that cooperate, compete, and communicate in dynamic environment.</p>
</div>
<div class="research-card">
<div class="research-card-icon">
<ion-icon name="filter-outline"></ion-icon>
</div>
<h4 class="research-card-title">Recommendation Systems</h4>
<p class="research-card-text">Building responsible recommenders that balance personalisation with societal fairness and diversity.</p>
</div>
</div>
</section>
<section class="experience">
<div class="title-wrapper">
<div class="icon-box">
<ion-icon name="document-text-outline"></ion-icon>
</div>
<h3 class="h3">Refereed Journal Papers</h3>
</div>
<ol class="experience-list">
<li class="experience-item">
<p class="experience-text">
Xiaodan Wang, Yanbin Liu, Shiqing Wu, Ziying Zhao, <b>Yuxuan Hu</b>, Weihua Li, and Quan Bai.
"Ideological Isolation in Online Social Networks: A Survey of Computational Definitions, Metrics, and Mitigation".
In: <i>Neurocomputing.</i> 2026.
</p>
<div class="icon-box"><a href="https://www.sciencedirect.com/science/article/pii/S0925231226017315">
<span class="experience-text">PDF</span></a>
</div>
</li>
<li class="experience-item">
<p class="experience-text">
Mengyan Wang, <b>Yuxuan Hu</b>, Shiqing Wu, Weihua Li, Quan Bai and Verica Rupar.
"Balancing Information Perception With Yin-Yang: Agent-Based Adaptive Information Neutrality Model for Recommendation Systems".
In: <i>IEEE Transactions on Computational Social Systems.</i> 2025.
</p>
<div class="icon-box"><a href="https://ieeexplore.ieee.org/abstract/document/11037646">
<span class="experience-text">PDF</span></a>
</div>
</li>
<li class="experience-item">
<p class="experience-text">
Lan Zhang, <b>Yuxuan Hu</b>, Weihua Li, Quan Bai and Parma Nand.
"LLM-AIDSim: LLM-Enhanced Agent-Based Influence Diffusion Simulation in Social Networks".
In: <i>Systems.</i> 2025.
</p>
<div class="icon-box"><a href="https://www.mdpi.com/2079-8954/13/1/29">
<span class="experience-text">PDF</span></a>
</div>
</li>
<li class="experience-item">
<p class="experience-text">
Mengyan Wang, <b>Yuxuan Hu</b>, Shiqing Wu, Weihua Li, Quan Bai, Zihan Yuan, and Chenting Jiang.
"Nudging Towards Responsible Recommendations: A Graph-Based Approach to Mitigate Belief Filter Bubbles".
In: <i>IEEE Transactions on Artificial Intelligence.</i> 2024.
</p>
<div class="icon-box"><a href="https://ieeexplore.ieee.org/abstract/document/10460339/">
<span class="experience-text">PDF</span></a>
</div>
</li>
<li class="experience-item">
<p class="experience-text">
Weihua Li, <b>Yuxuan Hu</b>, Chenting Jiang, Shiqing Wu, Quan Bai, and Edmund Lai.
"ABEM: An Adaptive Agent-based Evolutionary Approach for Influence Maximization in Dynamic Social Networks".
In: <i>Applied Soft Computing</i>. 2023.
</p>
<div class="icon-box"><a href="https://www.sciencedirect.com/science/article/pii/S1568494623000807">
<span class="experience-text">PDF</span></a>
</div>
</li>
<li class="experience-item">
<p class="experience-text">
Weihua Li, Quan Bai, Ling Liang, Yi Yang, <b>Yuxuan Hu</b>, and Minjie Zhang.
"Social Influence Minimization based on Context-aware Multiple Influences Diffusion Model".
In: <i>Knowledge-Based Systems</i>. 2021.
</p>
<div class="icon-box"><a href="https://www.sciencedirect.com/science/article/pii/S0950705121004950">
<span class="experience-text">PDF</span></a>
</div>
</li>
</ol>
</section>
<section class="experience">
<div class="title-wrapper">
<div class="icon-box">
<ion-icon name="document-text-outline"></ion-icon>
</div>
<h3 class="h3">Refereed Conference Papers</h3>
</div>
<ol class="experience-list">
<li class="experience-item">
<p class="experience-text">
Lan Zhang, <b>Yuxuan Hu</b>, Weihua Li, Quan Bai, Shiqing Wu, and Wen Zhang.
"FERL-RS: An Adaptive Reinforcement Learning Framework for Mitigating Filter Bubbles in Recommendation Systems".
In: <i>The 23rd Pacific Rim International Conference on Artificial Intelligence (PRICAI)</i>. 2026.
</p>
</li>
<li class="experience-item">
<p class="experience-text">
Bhakti S Onggo, Zhou He, Peng Lu, Quan Bai, and <b>Yuxuan Hu</b>.
"AI-Empowered Data-Driven Agent-Based Modeling and Simulation: Challenges, Methodologies, and Future Perspectives".
In: <i>2025 Winter Simulation Conference (WSC)</i>. 2025.
</p>
<div class="icon-box"><a href="https://ieeexplore.ieee.org/abstract/document/11338891">
<span class="experience-text">PDF</span></a>
</div>
</li>
<li class="experience-item">
<p class="experience-text">
<b>Yuxuan Hu</b>, Gemju Sherpa, Lan Zhang, Weihua Li, Quan Bai, Yijun Wang, and Xiaodan Wang.
"An LLM-enhanced Agent-based Simulation Tool for Information Propagation".
In: <i>The 33rd International Joint Conference on Artificial Intelligence (IJCAI)</i>. 2024.
</p>
<div class="icon-box"><a href="https://www.ijcai.org/proceedings/2024/1007.pdf">
<span class="experience-text">PDF</span></a>
</div>
</li>
<li class="experience-item">
<p class="experience-text">
<b>Yuxuan Hu</b>, Shiqing Wu, Chenting Jiang, Weihua Li, Quan Bai, and Erin Roehrer.
"AI Facilitated Isolations? The Impact of Recommendation-based Influence Diffusion in Human Society".
In: <i>The 31st International Joint Conference on Artificial Intelligence (IJCAI)</i>. 2022.
</p>
<div class="icon-box"><a href="https://www.ijcai.org/proceedings/2022/0705.pdf">
<span class="experience-text">PDF</span></a>
</div>
</li>
<li class="experience-item">
<p class="experience-text">
<b>Yuxuan Hu</b>, Quan Bai, and Weihua Li.
"Context-aware Influence Diffusion in Online Social Networks".
In: <i>The 16th Pacific Rim Knowledge Acquisition Workshop (PKAW)</i>. 2019.
</p>
<div class="icon-box"><a href="https://link.springer.com/chapter/10.1007/978-3-030-30639-7_13">
<span class="experience-text">PDF</span></a>
</div>
</li>
</ol>
</section>
<section class="experience">
<div class="title-wrapper">
<div class="icon-box">
<ion-icon name="document-text-outline"></ion-icon>
</div>
<h3 class="h3">Pre-prints</h3>
</div>
<ol class="experience-list">
<li class="experience-item">
<p class="experience-text">
Xiaodan Wang, Yanbin Liu, Shiqing Wu, Ziying Zhao, <b>Yuxuan Hu</b>, Weihua Li, Quan Bai. "Ideological Isolation in Online Social Networks: A Survey of Computational Definitions, Metrics, and Mitigation Strategies". arXiv. 2026.
</p>
<div class="icon-box"><a href="https://arxiv.org/pdf/2601.07884">
<span class="experience-text">PDF</span></a>
</div>
</li>
<li class="experience-item">
<p class="experience-text">
Mengyan Wang, <b>Yuxuan Hu</b>, Shiqing Wu, Weihua Li, Quan Bai, and Verica Rupar. "Balancing Information Perception with Yin-Yang: Agent-Based Information Neutrality Model for Recommendation Systems". arXiv. 2024.
</p>
<div class="icon-box"><a href="https://arxiv.org/pdf/2404.04906">
<span class="experience-text">PDF</span></a>
</div>
</li>
</ol>
</section>
<section class="experience">
<div class="title-wrapper">
<div class="icon-box">
<ion-icon name="document-text-outline"></ion-icon>
</div>
<h3 class="h3">Oral Presentation and Poster</h3>
</div>
<ol class="experience-list">
<li class="experience-item">
<span>July 2022</span>
<p class="experience-text">
"AI Facilitated Isolations? The Impact of Recommendation-based Influence Diffusion in Human Society," the 31st International Joint Conference on Artificial Intelligence (IJCAI), July 2022.
</p>
</li>
</ol>
</section>
</article>
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