About Me

I am a third-year PhD student at the School of Computer Science, The University of Sydney, under the supervision of Assoc. Prof. Chang Xu and Assist. Prof. Daochang Liu.

Previously, I worked as a Research Assistant at the Singapore University of Technology and Design, where I was supervised by Assoc. Prof. Ngai-Man Cheung. I earned both my Bachelor’s and Master’s degrees from the Hanoi University of Science and Technology, guided by A/Prof. Huynh Thi Thanh Binh.

My research focuses on computer vision and fundamental concepts in generative artificial intelligence, exploring cutting-edge methodologies to advance the field.

🔥 News

  • 2025.04: I will join Amazon Australia as Applied Scientist Intern
  • 2025.01: One paper accepted to ICLR 2025
  • 2024.11: One paper accepted to TPAMI
  • 2024.5 : I will join Adobe Inc. as Research Scientist Intern
  • 2023.9 : One paper accepted to NeurIPS 2023
  • 2023.4 : One paper accepted to ICML 2023


📝 Publications - Selected Publications

ICLR 2025
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Representative Guidance: Diffusion Model Sampling with Consistency (spotlight)

Anh-Dung Dinh, Daochang Liu, Chang Xu

International Conference on Learning Representations (ICLR), 2025

[Code]

NeurIPS 2023
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Rethinking Conditional Diffusion Sampling with Progressive Guidance

Anh-Dung Dinh, Daochang Liu, Chang Xu

Conference on Neural Information Processing Systems (NeurIPS), 2023

[Code]

ICML 2023
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PixelAsParam: A Gradient View on Diffusion Sampling with Guidance

Anh-Dung Dinh, Daochang Liu, Chang Xu

International Conference on Machine Learning (ICML), 2023

[Code]

TPAMI 2024
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DiffAct++: Diffusion Action Segmentation

Daochang Liu, Qiyue Li, Anh-Dung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024

[Code]

ICCV 2023
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Diffusion Action Segmentation

Daochang Liu, Qiyue Li, Anh-Dung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu

International Conference on Computer Vision (ICCV), 2023

[Project] [Code] [Video]

KDD2023
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Learning to Schedule in Diffusion Probabilistic Models

Yunke Wang, Xiyu Wang, Anh-Dung Dinh, Bo Du, Chang Xu

29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2023


📖 Teaching

  • 2024-2025, Teaching Assistant/Tutor for OCMP5329 Deep Learning, The University of Sydney
  • 2024-2025, Guest Lecturer for Summer course on Generative AI, The University of Sydney
  • 2023-2025, Invited lecturer/Tutor for COMP5329 Deep Learning, The University of Sydney

🎖 Awards

  • 2022.08 - 2025.12, Ph.D scholarships, Faculty of Engineering, The University of Sydney
  • 2023.12, Travel Grant, Conference on Neural Information Processing Systems
  • 2019.08, Master Scholarship, 100% tuition fee for excellent Engineer Students (top 10%)
  • 2017.05, Research Scholarship, Student Research Conference, HUST (Second Runner)

♥️ Services

  • 2024, Publication Chair of The 13th International Symposium on Information And Communication Technology (SOICT 2024)
  • Reviewer of TPAMI, TMM, ICLR (2023, 2024, 2025), ICML (2024, 2025), CVPR (2023, 2024, 2025), NeurIPS (2023, 2024), ICCV (2023), ECCV (2024), AAAI (2023, 2024, 2025)

Contact: anh-dung.dinh@sydney.edu.au, anhdungdinh.vn21@gmail.com

Last Update: May 03, 2024