Professor

Huynh Thanh Trung

Affiliation: VinUniversity, Hanoi, Viet Nam

College of Engineering and Computer Science

0

Citations

0

h-index

Introduction

Dr. Huynh Thanh Trung received his B.E. and M.E. degrees in Information Systems from the Hanoi University of Science and Technology, Vietnam, in 2016 and 2017, respectively. He obtained his Ph.D. in Artificial Intelligence from Griffith University, Australia, in June 2022, where his research primarily focused on advanced machine learning and data mining techniques. From 2022 to 2025, he worked as a Postdoctoral Researcher at the Swiss Federal Institute of Technology Lausanne (EPFL), contributing to cutting-edge research in AI and data-driven systems. Dr. Trung’s research interests encompass machine learning, deep neural networks, graph mining, computer vision, social network analysis, fake news detection, and large language models. He has authored and co-authored over 20 research papers in leading international journals and conference proceedings, which have collectively attracted more than 1,400 citations and earned him an h-index of 16. He actively contributes to the research community as a reviewer for top-tier venues including WWW, WSDM, TKDE, ICDE, VLDB, and IJCAI. His work bridges theoretical AI research and real-world applications, particularly in analyzing complex data, detecting misinformation, and leveraging large language models for knowledge extraction and reasoning.

Affiliation: VinUniversity, Hanoi, Viet Nam

Research Output

A Survey of Machine Unlearning

Nguyen Thanh Tam, Huynh Thanh Trung, Ren Zhao, Nguyen Phi Le, Liew Alan Wee-Chung, Yin Hongzhi, Nguyen Quoc Viet Hung
  • adversarial attacks
  • certified removal
  • data deletion
  • data forgetting
  • decremental learning
  • machine unlearning
  • model indistinguishability
  • model repair
  • model verification
  • right to be forgotten
  • user privacy

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Keyphrases

  • adversarial attacks
  • certified removal
  • data deletion
  • data forgetting
  • decremental learning
  • machine unlearning
  • model indistinguishability
  • model repair
  • model verification
  • right to be forgotten
  • user privacy

Computer Science

  • Theoretical Computer Science