LLM social behaviour simulation, Trajectory data mining, Intent detection, Process mining, Artificial intelligent (AI) in education

Yilin (Alec) Lyu 吕怡霖

LLM social behaviour simulation, Trajectory data mining, Intent detection, Process mining, Artificial intelligent (AI) in education

I am currently a joint PhD student at Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences and Beijing Normal University–Hong Kong Baptist University United International College. My research focuses on large language model (LLM)-driven social behavior simulation, spatiotemporal trajectory mining, and semantic trajectory inference.

Between Dec 2024 and Apr 2025, I served as a Research Assistant in Professor Yuanlin Zhang’s group at Texas Tech University, exploring how AI and logic can together improve K-12 education.


Education

  • PhD (2025-Now), Computer Science and Technology, Hong Kong Baptist University, Zhuhai.
    • Working hard now …
  • MSc (2023-2025), Software Engineering, University of Melbourne, Australia.
    • Expected to graduate with H1 (First-Class Honour).
    • Thesis1 (2025 semester1): “Discovering Self-Regulated Learning Patterns in Chatbot-Powered Education Environment”, advised by Abel Armas Cervantes and Antonette Mendoza.
      • This thesis has been accepted by AAEE2025 (oral).
    • Thesis2 (2024 semester2): “Enhancing Approximate Conformance Checking Accuracy with Hierarchical Clustering Model Behaviour Sampling”, advised by Artem Polyvyanyy.
      • An e-copy of my thesis can be download via [this link].
  • BSc (2017-2021), Computer Science and Technology, Zhengzhou University, China.
    • Graduated in the top 10% (Rank: 15/176).
    • Thesis title: “Research on Cell Virtual Staining Method Based on U-GAT-IT” (In Chinese), advised by Ruijie Zhu.
      • Selected as an Outstanding Graduate Thesis.
      • An e-copy of my thesis can be download via [this link].

Honors and Awards

  • Melbourne Global Scholars Award (MGSA) for 2024, University of Melbourne
  • First-Class Scholarship for Outstanding Students for 2021, Zhengzhou University
  • All-Rounder Outstanding Award for 2020, Zhengzhou University

Why I’m Outstanding

  • 🚀 Highly Self-Driven with Passion for Research
    Despite being in a coursework-based Master’s program, I actively engaged in research projects. Within the latest year, I contributed as the first or second author to 3 EI/Scopus-indexed journal papers and 4 IEEE conference papers. I maintain a strong work ethic with an average of 14 hours of daily study and research.

  • 👨‍💻 Strong Project Management and Engineering Foundation
    I have consistently led software engineering projects as scrum master, responsible for both management and core development. Proficient in project management tools like Jira and ZenTao and programming languages like Java and Python.

  • 🧠 Adaptable and Fast Learner
    Unfamiliar field? I love the ride. My research interests span across multiple fields. I quickly adapt to new fields and reach publication-level proficiency, my supervisors are able to confirm it 😆.


What's new

2025/06
  • I am currently seeking a suitable PhD position and am open to challenges across different research domains!
2024/10
  • My paper titled “A Discussion of Migration of Common Neural Network Regularization Methods on SNNs” has been published [access link].
2024/09
  • My paper titled “A Mamba-based approximate conformance checking method” has been published by the 2024 4th AANN International Conference[access link]!