I am 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 generative artificial intelligence, computer vision, human action and skill understanding, also with interdisciplinary applications in healthcare data science.

🔥 News

  • 2024.05: I will organize The 1st Workshop on Efficiency, Security, and Generalization of Foundation Models at ACM MM 2024. Call for Paper!
  • 2024.05: One paper accepted to ICML 2024 and one accepted to IJCAI 2024.


📝 Generative Artificial Intelligence

ICML 2024
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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

CVPR 2024
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Towards Memorization-Free Diffusion Models

Chen Chen, Daochang Liu, Chang Xu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024

[Project] [Code] [Video]

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

NeurIPS 2023
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Contrastive Sampling Chains in Diffusion Models

Junyu Zhang,Daochang Liu, Shichao Zhang, 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]


📝 Computer Vision and Human Action Understanding

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]

CVPR 2019
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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

[Code] [Poster]

ICDM 2022
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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

[Code]


📝 AI for Healthcare and Surgery

CVPR 2021
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Towards Unified Surgical Skill Assessment

Daochang Liu, Qiyue Li, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021

[Project] [Code] [Slides] [Poster] [Video]

MICCAI 2020
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Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion

Daochang Liu*, Yuhui Wei*, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li

Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020

[Code] [Slides] [Poster]

IJCARS 2020
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Clearness of Operating Field: A Surrogate for Surgical Skills on In-Vivo Clinical Data

Daochang Liu, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li

International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2020

MICCAI 2019
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Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field

Daochang Liu, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li

Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019

[Slides] [Poster]

MICCAI 2018
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Deep Reinforcement Learning for Surgical Gesture Segmentation and Classification

Daochang Liu, Tingting Jiang

Medical Image Computing and Computer Assisted Intervention (MICCAI), 2018

[Code] [Poster]

📖 Teaching

  • 2023-2024, Lecturer for OCMP5329 Deep Learning, The University of Sydney
  • 2022-2023, Guest Lecturer for HTIN5005 Applied Healthcare Data Science, The University of Sydney
  • 2023, Guest Lecturer for INFO4990/5993 CS Research Methods, The University of Sydney
  • 2023-2024, Supervisor for COMP5702/5704 IT Research Project, The University of Sydney
  • 2023-2024, Supervisor for COMP5709/5703 IT Capstone Project, The University of Sydney
  • 2024, Co-supervisor for INFO2911 IT Special Project, The University of Sydney

🎖 Awards

  • 2022, ICDM Best Student Paper Award, 1 out of 885
  • 2021, Peking University Tianchuang Scholarship, Top 5% PhDs
  • 2020, Microsoft Research Asia Fellowship Nomination, Top 25 PhDs in Asia-Pacific
  • 2019, Peking University Principle’s Scholarship, Top 5% PhDs
  • 2019, Peking University Academic Innovation Award, Top 3% PhDs
  • 2017, Shanghai Outstanding Bachelor Graduate, Top 2% Graduates

🌟 Grants

  • 2023 - 2024, Artificial Intelligence Empowered Surgical Skill Assessment (Lead CI), $7840 USD, Google Cloud Research Credits Award

  • 2024 Q1-Q2, Large Language Models as Training-Free Multimodal Optimizers (Lead CI), 40000 GPU Hours (40K AUD Equivalent), The National Computational Infrastructure (NCI) AI Flagship Scheme, Australia

  • 2024 Q1-Q2, Automatically Assessing Surgical Skills in Enriched Context (Lead CI), 12000 GPU Hours (12K AUD Equivalent), Sydney Informatics Hub (SIH) HPC Allocation Scheme 2024 Round 1, Australia

  • 2023 Q1-Q2, Image Generation for the Colour Vision Impaired (Lead CI), 10000 GPU Hours (10K AUD Equivalent), The National Computational Infrastructure (NCI) Adapter Scheme, Australia

♥️ Services

  • 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”
  • 2023, Co-Organizer of Coding Fest USYD & Macquarie Workshop
  • 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 TPAMI, TMI, TMM, TCSVT, TNNLS, CVIU, TMLR, Pattern Recognition, IEEE Access

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Contact: daochang.liu at sydney.edu.au, finspire13 at gmail.com

Last Update: May 03, 2024