I am a Lecturer (Assistant Professor) at School of Physics, Mathematics and Computing, The University of Western Australia. I was a postdoctoral researcher in A/Prof Chang Xu’s group at the School of Computer Science, The University of Sydney. I obtained a PhD degree from Peking University. My research interests lie in computer vision, generative learning, video understanding and generation, and healthcare applications.
I am actively looking for PhD/MPhil students and research interns. If you are interested, please contact me.
News
- 2026.05: Two papers accepted to ICML 2026.
- 2026.05: One paper accepted to MICCAI 2026.
- 2026.04: One paper accepted to T-PAMI.
Selected Publications (Full list: Link)
Generative Physical AI in Vision: A Survey
Daochang Liu, Junyu Zhang, Anh-Dung Dinh, Eunbyung Park, Shichao Zhang, Chang Xu
[27] Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models
Chen Chen, Daochang Liu, Mubarak Shah, Chang Xu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
[25] Representative Guidance: Diffusion Model Sampling with Consistency
Anh-Dung Dinh, Daochang Liu, Chang Xu
International Conference on Learning Representations (ICLR), 2025
[24] Anti-Exposure Bias in Diffusion Models via Prompt Learning
Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu
International Conference on Learning Representations (ICLR), 2025
[22] DiffAct++: Diffusion Action Segmentation
Daochang Liu, Qiyue Li, Anh-Dung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu
IEEE Transactions on Pattern Analysis & Machine Intelligence (TPAMI), 2025
[21] Towards Memorization-Free Diffusion Models
Chen Chen, Daochang Liu, Chang Xu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[20] Bridging Data Gaps in Diffusion Models with Adversarial Noise-Based Transfer Learning
Xiyu Wang, Baijiong Lin, Daochang Liu, Ying-Cong Chen, Chang Xu
International Conference on Machine Learning (ICML), 2024
[17] Diffusion Action Segmentation
Daochang Liu, Qiyue Li, Anh-Dung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu
International Conference on Computer Vision (ICCV), 2023
[16] Rethinking Conditional Diffusion Sampling with Progressive Guidance
Anh-Dung Dinh, Daochang Liu, Chang Xu
Conference on Neural Information Processing Systems (NeurIPS), 2023
[7] Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization
Daochang Liu, Tingting Jiang, Yizhou Wang
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Selected Services
- 2026, Program Chair of Digital Image Computing: Techniques and Applications (DICTA)
- 2025-2026, Area Chair of Conference on Neural Information Processing Systems (NeurIPS)
- 2025-2026, Area Chair of International Conference on Learning Representations (ICLR)
- 2024-2026, Area Chair of International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
Selected Awards
- 2026, NVIDIA Academic Grant Award
- 2025, APRS Early Career Researcher Award Honorable Mention
- 2024, NCI National AI Flagship Scheme Grant
- 2024, Digital Sciences Initiative Ignite Award
- 2022, ICDM Best Student Paper Award
Last Update: April 2026