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 supervised by A/Prof Tingting Jiang and Prof Yizhou Wang. My research interests lie in computer vision, generative artificial intelligence, human action and skill understanding, and interdisciplinary applications.
I am actively looking for PhD/MPhil/Visiting students and research interns. If you are interested in working with me, please feel free to contact me. (UWA PhD Scholarship Application Due: International 31 August, Domestic 31 October)
🔥 News
- 2025.04: I will be an Area Chair for NeurIPS 2025.
- 2025.03: One paper accepted to CVPR 2025.
- 2025.01: Our new survey on “Physical AI” is now on arxiv.
- 2025.01: Three papers accepted to ICLR 2025.
- 2025.01: I will be an Area Chair for MICCAI 2025.
📝 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
[26] Exploring Local Memorization in Diffusion Models via Bright Ending Attention
Chen Chen, Daochang Liu, Mubarak Shah, Chang Xu
International Conference on Learning Representations (ICLR), 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
[19] Residual Learning in Diffusion Models
Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 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
[15] Contrastive Sampling Chains in Diffusion Models
Junyu Zhang,Daochang Liu, Shichao Zhang, Chang Xu
Conference on Neural Information Processing Systems (NeurIPS), 2023
[14] Personalized Image Generation for Color Vision Deficiency Population
Shuyi Jiang, Daochang Liu, Dingquan Li, Chang Xu
International Conference on Computer Vision (ICCV), 2023
[13] PixelAsParam: A Gradient View on Diffusion Sampling with Guidance
Anh-Dung Dinh, Daochang Liu, Chang Xu
International Conference on Machine Learning (ICML), 2023
[12] Private Image Generation with Dual-Purpose Auxiliary Classifier
Chen Chen, Daochang Liu, Siqi Ma, Surya Nepal, Chang Xu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[11] Contrastive Code-Comment Pre-training
Xiaohuan Pei, Daochang Liu, Qian Luo, Chang Xu
IEEE International Conference on Data Mining (ICDM), 2022
Best Student Paper Award
[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
♥️ Services
- 2025, Area Chair of Conference on Neural Information Processing Systems (NeurIPS)
- 2024, Chair of The 1st Workshop on Efficiency, Security, and Generalization of Multimedia Foundation Models at ACM MM 2024
- 2024, Area Chair of International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
- 2024, Co-Chair of IJCNN 2024 Special Session “Efficiency, Security, and Generalization of Foundation Models”
- 2022, Local Arrangement Chair and Session Chair of The International Conference on Digital Image Computing: Techniques and Applications (DICTA)
- Program Committee Member of CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, MICCAI, ACM MM, BMVC, AAAI, IJCAI, KDD, ICDM, DICTA
- Reviewer of IJCV, TPAMI, TMI, TMM, TCSVT, TNNLS, CVIU, TMLR, Pattern Recognition, IEEE Access
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Last Update: April 2025