About me

Hi! Thank you for visiting my personal website!

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.

My research focuses on utilizing AI techniques like Agent-based Modeling and Recommendation Systems to do Social Network Analysis 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.

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.

Please refer to my resume for more details.

Resume

Education

  1. Doctor of Philosophy (Information Technology)

    University of Tasmania, Hobart, Tasmania, Australia Aug 2019 - March 2024

    School of Information and Communication Technology, College of Sciences and Engineering

    Dissertation Topic: Influence-based Detection and Mitigation of Ideological Isolation in Online Social Networks

  2. Master of Engineering Studies (Electrical and Electronic)

    University of Auckland, Auckland, New Zealand Feb 2017 - Jan 2018

    Centre for Automation and Robotic Engineering Science, Faculty of Engineering

    Research Project: End User Programming Tool for Robogen2

  3. Bachelor of Engineering (Electronic Information)

    Hunan Normal University, Changsha, Hunan, China Sep 2012 - Jun 2016

    Collage of Engineering and Design

Experience

  1. Data Engineer

    Integrated Marine Observing System, Hobart, Tasmania, Australia March 2024 – Present

  2. Academic Tutor

    Auckland University of Technology, Auckland, New Zealand July 2018 – July 2019

  3. Red Cross Shop Volunteer

    Hobart Red Cross Shop, Hobart, Tasmania, Australia June 2023 - Present

Professional Services

  1. Reviewer, Scientific Reports, November 2025.

  2. PC Member, 2025 Principle and practice of data and Knowledge Acquisition Workshop (PKAW), November 2025.

  3. Reviewer, Journal of network and computer applications, March 2025.

  4. Reviewer, Human-centric intelligent systems, December 2024.

  5. PC Member, 2024 Principle and practice of data and Knowledge Acquisition Workshop (PKAW), November 2025.

  6. Workshop Chair, the 2024 Workshop on AI-empowered Systems Simulation (WASS 2024), November 2024.

  7. Organizing Committee Chair, the 23rd International Symposium on Knowledge and Systems Sciences (KSS), November 2024.

  8. PC Member, 2023 Principle and practice of data and Knowledge Acquisition Workshop (PKAW), November 2023.

  9. Reviewer, the 19th Pacific Rim International Conference on Artificial Intelligence (PRICAI), November 2022.

  10. Reviewer, the 16th Pacific Rim International Conference on Artificial Intelligence (PRICAI), August 2019.

  11. Reviewer, the 21st International Conference on Principles and Practice of Multi-Agent Systems (PRIMA), November 2018.

Publications

Research Focus

Social Networks

Modelling influence diffusion and network dynamics in online social networks.

Agent-Based Modelling

Simulating through autonomous agents to study emergent collective behaviour in complex systems.

Multi-Agent Systems

Designing autonomous agents that cooperate, compete, and communicate in dynamic environment.

Recommendation Systems

Building responsible recommenders that balance personalisation with societal fairness and diversity.

Refereed Journal Papers

  1. Mengyan Wang, Yuxuan Hu, 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: IEEE Transactions on Computational Social Systems. 2025.

    PDF

  2. Lan Zhang, Yuxuan Hu, Weihua Li, Quan Bai and Parma Nand. "LLM-AIDSim: LLM-Enhanced Agent-Based Influence Diffusion Simulation in Social Networks". In: Systems. 2025.

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  3. Mengyan Wang, Yuxuan Hu, 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: IEEE Transactions on Artificial Intelligence. 2024.

    PDF

  4. Weihua Li, Yuxuan Hu, Chenting Jiang, Shiqing Wu, Quan Bai, and Edmund Lai. "ABEM: An Adaptive Agent-based Evolutionary Approach for Influence Maximization in Dynamic Social Networks". In: Applied Soft Computing. 2023.

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  5. Weihua Li, Quan Bai, Ling Liang, Yi Yang, Yuxuan Hu, and Minjie Zhang. "Social Influence Minimization based on Context-aware Multiple Influences Diffusion Model". In: Knowledge-Based Systems. 2021.

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Refereed Conference Papers

  1. Bhakti S Onggo, Zhou He, Peng Lu, Quan Bai, and Yuxuan Hu. "AI-Empowered Data-Driven Agent-Based Modeling and Simulation: Challenges, Methodologies, and Future Perspectives". In: 2025 Winter Simulation Conference (WSC). 2025.

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  2. Yuxuan Hu, Gemju Sherpa, Lan Zhang, Weihua Li, Quan Bai, Yijun Wang, and Xiaodan Wang. "An LLM-enhanced Agent-based Simulation Tool for Information Propagation". In: The 33rd International Joint Conference on Artificial Intelligence (IJCAI). 2024.

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  3. Yuxuan Hu, 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: The 31st International Joint Conference on Artificial Intelligence (IJCAI). 2022.

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  4. Yuxuan Hu, Quan Bai, and Weihua Li. "Context-aware Influence Diffusion in Online Social Networks". In: The 16th Pacific Rim Knowledge Acquisition Workshop (PKAW). 2019.

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Pre-prints

  1. Xiaodan Wang, Yanbin Liu, Shiqing Wu, Ziying Zhao, Yuxuan Hu, Weihua Li, Quan Bai. "Ideological Isolation in Online Social Networks: A Survey of Computational Definitions, Metrics, and Mitigation Strategies". arXiv. 2026.

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  2. Mengyan Wang, Yuxuan Hu, 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.

    PDF

Oral Presentation and Poster

  1. July 2022

    "AI Facilitated Isolations? The Impact of Recommendation-based Influence Diffusion in Human Society," the 31st International Joint Conference on Artificial Intelligence (IJCAI), July 2022.