Scholar
Anh-Dung Dinh
Google Scholar ID: ZJbv3YoAAAAJ
University of Sydney
Citations & Impact
Citations
313
H-index
9
i10-index
8
Publications
16
Co-authors
4
list available
Publications
Resume (English only)
Academic Achievements
- Paper 'Representative Guidance: Diffusion Model Sampling with Consistency' accepted to ICLR 2025 (Spotlight)
- Paper 'Rethinking Conditional Diffusion Sampling with Progressive Guidance' accepted to NeurIPS 2023
- Paper 'PixelAsParam: A Gradient View on Diffusion Sampling with Guidance' accepted to ICML 2023
- Paper 'DiffAct++: Diffusion Action Segmentation' accepted to TPAMI 2024
- Paper 'Diffusion Action Segmentation' accepted to ICCV 2023
- Paper 'Learning to Schedule in Diffusion Probabilistic Models' accepted to KDD 2023
- Travel Grant from NeurIPS 2023
- PhD Scholarship from Faculty of Engineering, The University of Sydney (2022.08–2025.12)
- Master Scholarship (100% tuition fee) for top 10% engineering students at HUST (2019.08)
- Second Runner-up Research Scholarship at HUST Student Research Conference (2017.05)
- Publication Chair of SOICT 2024
- Reviewer for TPAMI, TMM, ICLR (2023–2025), ICML (2024–2025), CVPR (2023–2025), NeurIPS (2023–2024), ICCV (2023), ECCV (2024), AAAI (2023–2025)
Research Experience
- Research Assistant at Singapore University of Technology and Design, supervised by Assoc. Prof. Ngai-Man Cheung
- Will join Google as Research Scientist Intern starting November 2025
- Will join Amazon Australia as Applied Scientist Intern starting April 2025
- Will join Adobe Inc. as Research Scientist Intern starting May 2024
- Invited Lecturer/Tutor for COMP5329 Deep Learning, The University of Sydney (2023–2025)
- 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 (2024–2025)
