- large language model;
- video generative / video editing models;
- vision-and-language, multi-modal learning.
I am a Senior Applied Scientist at Oracle Health AI (OHAI), applying generative AI to the medical domain.
Previously, I was a research fellow at the Centre for Augmented Reasoning, Australian Institute for Machine Learning (AIML) at the University of Adelaide, working with Prof. Anton Van Den Hengel on video generative models.
I obtained my PhD from the Australian National University in 2024, advised by Prof. Stephen Gould and Dr. Damien Teney (Idiap Research Institute | AIML). My PhD surrounds multi-modal learning, vision-and-language, where I focused on the task of composed image retrieval.
I maintain my publication record at Google Scholar. Source code for all first-author projects are available at GitHub.
News
Sep 2025 I have joined Oracle Health AI as a Senior Applied Scientist.
May 2024 I have joined AIML as a postdoctoral research fellow.
Apr 2024 I have received my award of PhD from ANU. A big thank you to my supervisors, my parents and all my friends for their kind support through this journey.
Recent Research

FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models.Coming soon New
To appear in Neural Information Processing Systems (NeurIPS), 2025.
bib | arXiv
coming soon

Frame-wise Conditioning Adaptation for Fine-Tuning Diffusion Models in Text-to-Video Prediction.
Transactions on Machine Learning Research (TMLR), 2025.
bib | pdf | arXiv | code
@article{liu2025framewise,
title={Frame-wise Conditioning Adaptation for Fine-Tuning Diffusion Models in Text-to-Video Prediction},
author={Zheyuan Liu and Junyan Wang and Zicheng Duan and Cristian Rodriguez-Opazo and Anton van den Hengel},
journal={Transactions on Machine Learning Research},
issn={2835-8856},
year={2025},
url={https://openreview.net/forum?id=HSAjl4LUHK},
note={}
}

OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint Detection.
European Conference on Computer Vision (ECCV), 2024.
bib | pdf | arXiv | code
@inproceedings{lu2025openkd,
title={OpenKD: Opening Prompt Diversity for Zero-and Few-shot Keypoint Detection},
author={Lu, Changsheng and Liu, Zheyuan and Koniusz, Piotr},
booktitle={European Conference on Computer Vision},
pages={148--165},
year={2025},
organization={Springer}
}

Retrieving Images through Bi-modal Visual and Language Queries.
Thesis (PhD), Australian National University, 2024.
bib | ANU archive | pdf
@phdthesis{liu2024retrieving,
title={Retrieving Images through Bi-modal Visual and Language Queries},
author={Liu, Zheyuan},
school={The Australian National University},
year={2024}
}

Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder.
Transactions on Machine Learning Research (TMLR), 2024.
bib | pdf | arXiv | code
@article{liu2024candidate,
title={Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder},
author={Zheyuan Liu and Weixuan Sun and Damien Teney and Stephen Gould},
journal={Transactions on Machine Learning Research},
issn={2835-8856},
year={2024},
url={https://openreview.net/forum?id=fJAwemcvpL},
note={}
}

Bi-Directional Training for Composed Image Retrieval via Text Prompt Learning.
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.
bib | pdf | arXiv | code
@InProceedings{Liu_2024_WACV,
author={Liu, Zheyuan and Sun, Weixuan and Hong, Yicong and Teney, Damien and Gould, Stephen},
title={Bi-Directional Training for Composed Image Retrieval via Text Prompt Learning},
booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
month={January},
year={2024},
pages={5753-5762}
}

All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation.
IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2023.
bib | pdf | arXiv | code
@InProceedings{Sun_2023_ICCV,
author={Sun, Weixuan and Zhang, Yanhao and Qin, Zhen and Liu, Zheyuan and Cheng, Lin and Wang, Fanyi and Zhong, Yiran and Barnes, Nick},
title={All-pairs Consistency Learning forWeakly Supervised Semantic Segmentation},
booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month={October},
year={2023},
pages={826-837}
}

Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
bib | pdf | arXiv | code
@InProceedings{Sun_2023_CVPR,
author={Sun, Weixuan and Zhang, Jiayi and Wang, Jianyuan and Liu, Zheyuan and Zhong, Yiran and Feng, Tianpeng and Guo, Yandong and Zhang, Yanhao and Barnes, Nick},
title={Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month={June},
year={2023},
pages={6420-6429}
}

Image Retrieval on Real-Life Images With Pre-Trained Vision-and-Language Models.
IEEE/CVF International Conference on Computer Vision (ICCV), 2021.
bib | pdf | arXiv | dataset | code
@InProceedings{Liu_2021_ICCV,
author={Liu, Zheyuan and Rodriguez-Opazo, Cristian and Teney, Damien and Gould, Stephen},
title ={Image Retrieval on Real-Life Images With Pre-Trained Vision-and-Language Models},
booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
month={October},
year={2021},
pages={2125-2134}
}