Researcher
Group & Lab
Welcome to the [Epsilon Trustworthy Lab]! We are a dynamic team of researchers and students dedicated to pushing the boundaries of machine learning, focusing on Graph Neural Networks, Algorithmic Fairness, and LLM Augmentation. Our mission is to develop AI systems that are not only intelligent but also reliable, transparent, and equitable.
📢 Join Us! (Recruitment Status)
We are currently looking for motivated students and researchers!
- PhD Students: We are accepting applications for the Fall 2026 intake. Candidates should have a strong background in Mathematics, Computer Science, or Electrical Engineering, with proven experience in graph neural networks, LLM, or trustworthy AI.
- Master Students: We are accepting applications for the Fall 2026 intake. Candidates should have a strong background in Mathematics, Computer Science, or Electrical Engineering, with proven experience in graph neural networks, LLM, or trustworthy AI.
- Research Interns/RAs: Positions are available year-round for highly motivated undergraduate/master's students interested in a [6-12 month] research commitment.
Application Process: How to Apply: Please review our Research page and email me directly with your CV/Resume, transcripts, and a brief statement of research interest (mentioning specific projects from my page).
👨🏫 Principal Investigator (PI)
Xikun Zhang
Presidential Postdoctoral Fellow， Nanyang Technological University
Ziqi Xu
Assistant Professor, RMIT
Renqiang Luo
Assistant Professor, Jilin University
🎒 Current PhD/Master Students
Wen Shi
(Started 2024)
Zhongyuan Zhang
(Started 2025)
Zewei Peng
(Started 2024)
Shiyu Huang
(Started 2024)
Yongshuai Yang
(Started 2024)