Quan M. Tran

Machine Learning, Agentic AI, Label Noise

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I am currently a PhD student in Computer Science at the Sydney AI Centre, The University of Sydney, supervised by Prof. Tongliang Liu. Before starting my PhD, I served as the Data & AI Lead at Kyanon Digital. I received my Bachelor degree in Software Engineering (ranked first in my cohort) from the University of Information Technology, Vietnam National University.

My research focuses on trustworthy and intelligent AI systems, with interests spanning Agentic AI (including autonomous agents and agentic memory), machine learning, learning with noisy labels, and related areas.

I am always interested in collaborating on research and industry projects related to AI and machine learning.

  • Address: J12, 1 Cleveland Street, Darlington, NSW 2008, Australia
  • Email: qtra0349 [at] sydney.edu.au · quantran.academia [at] gmail.com

academic service

  • Reviewer, IJCAI 2025
  • Reviewer, TPAMI
  • Reviewer, ICML 2026
  • Reviewer, NeurIPS 2026

news

[Oct-2024] Started my PhD program at The University of Sydney.
[Jul-2023] We successfully organized the 1st Vietnam Datathon.

selected publications

2026

  1. Bifrost: Steering strategic trajectories to bridge contextual gaps for self-improving agents
    Quan M Tran, Zhuo Huang, Wenbin Zhang, and 4 more authors
    arXiv preprint arXiv:2602.05810, 2026
  2. Beyond the Shadows of Plato’s Cave: Evaluating False Memory in Autonomous Agents via Counterfactual Reasoning
    Quan M Tran, Zhuo Huang, Zhen Fang, and 3 more authors
    arXiv preprint arXiv:2609.39473, 2026

2024

  1. TabularFM: An open framework for tabular foundational models
    Quan M Tran, Suong N Hoang, Lam M Nguyen, and 2 more authors
    2024 IEEE International Conference on Big Data (BigData), 2024