Quan M. Tran

Machine Learning, Agentic AI, Label Noise

prof_pic.jpg

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

2022

  1. Measuring the influence and amplification of users on social network with unsupervised behaviors learning and efficient interaction-based knowledge graph
    Quan M Tran, Hien D Nguyen, Tai Huynh, and 3 more authors
    Journal of Combinatorial Optimization, 2022

2021

  1. Influence prediction on social media network through contents and interaction behaviors using attention-based knowledge graph
    Quan M Tran, Hien D Nguyen, Binh T Nguyen, and 2 more authors
    2021 13th International Conference on Knowledge and Systems Engineering (KSE), 2021

2019

  1. Efficient cnn models for beer bottle cap classification problem
    Quan M Tran, Linh V Nguyen, Tai Huynh, and 2 more authors
    International Conference on Future Data and Security Engineering, 2019