Dr Yadan Luo
Dr

Yadan Luo

Email: 

Background

Yadan Luo is currently a Senior Lecturer with Data Science Discipline, School of EECS, The University of Queensland. She received her BSc degree from University of Electronic Science and Technology of China, and her PhD in Computer Science from School of ITEE, The University of Queensland in 2017 and 2021 respectively. Her research interests mainly include machine learning from imperfect data, by leveraging domain adaptation, domain generalization, few-/zero-shot learning and active learning to empower the applications in computer vision and multimedia data analysis areas. Her work of image analysis published at Pattern Recognition Journal in 2018 is placed in the top 1% of the academic field of Engineering and is recognised as a Highly Cited Paper by Web of Science. Yadan was awarded the Google PhD Fellowship 2020 as a recognition of her research in the machine learning area and her strong potential of influencing the future of technology. She was also a recipient of ICT Young Achiever Award, Women in Technology (WiT.org) 2018 and a few other research awards.

[For Prospective Students] I am continuously looking for highly-motivated Ph.D. students to work on machine learning & multimedia data analysis, specifically for addressing domain shifts and generalisation issues. Please send me your CV if interested.

Availability

Dr Yadan Luo is:
Available for supervision
Media expert

Qualifications

  • Bachelor of Computer Science, University of Electronic Science and Technology of China
  • Doctor of Philosophy, The University of Queensland

Research interests

  • Multimedia Data Analysis

  • Machine Learning

    Domain adaptation, domain generalization

  • 3D Lidar-based Object Detection

Search Professor Yadan Luo’s works on UQ eSpace

77 works between 2016 and 2026
All (77) Journal Article (25) Other Outputs (2) Conference Publication (50)

1 - 20 of 77 works

Featured

2023

Journal Article

Source-free progressive graph learning for open-set domain adaptation

Luo, Yadan, Wang, Zijian, Chen, Zhuoxiao, Huang, Zi and Baktashmotlagh, Mahsa (2023). Source-free progressive graph learning for open-set domain adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45 (9), 1-16. doi: 10.1109/tpami.2023.3270288

Source-free progressive graph learning for open-set domain adaptation

Featured

2021

Conference Publication

Discovering collaborative signals for next POI recommendation with iterative Seq2Graph augmentation

Li, Yang, Chen, Tong, Luo, Yadan, Yin, Hongzhi and Huang, Zi (2021). Discovering collaborative signals for next POI recommendation with iterative Seq2Graph augmentation. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, Montreal, QC Canada, 19 - 27 August 2021. Palo Alto, CA United States: A A A I Press. doi: 10.24963/ijcai.2021/206

Discovering collaborative signals for next POI recommendation with iterative Seq2Graph augmentation

Featured

2020

Conference Publication

Learning from the past: continual meta-learning with Bayesian Graph Neural Networks

Luo, Yadan, Huang, Zi, Zhang, Zheng, Wang, Ziwei, Baktashmotlagh, Mahsa and Yang, Yang (2020). Learning from the past: continual meta-learning with Bayesian Graph Neural Networks. The Thirty-Fourth AAAI Conference on Artificial Intelligence/ The Thirty-Second Conference on Innovative Applications of Artificial Intelligence/ The Tenth Symposium on Educational Advances in Artificial Intelligence, New York, United States, 7-12 February 2020. Palo Alto, CA, United States: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/aaai.v34i04.5942

Learning from the past: continual meta-learning with Bayesian Graph Neural Networks

Featured

2020

Conference Publication

Progressive graph learning for open-set domain adaptation

Luo, Yadan, Wang, Zijian, Huang, Zi and Baktashmotlagh, Mahsa (2020). Progressive graph learning for open-set domain adaptation. 37th International Conference on Machine Learning ICML 2020, Vienna, Austria, 12-18 July 2020 . International Machine Learning Society .

Progressive graph learning for open-set domain adaptation

2026

Journal Article

FastEdit: fast text-guided single-image editing via semantic-aware diffusion fine-tuning

Chen, Zhi, Zhao, Zecheng, Luo, Yadan, Li, Yan, Tao, Xiaohui and Huang, Zi (2026). FastEdit: fast text-guided single-image editing via semantic-aware diffusion fine-tuning. Pattern Recognition, 172 (C) 112583, 112583. doi: 10.1016/j.patcog.2025.112583

FastEdit: fast text-guided single-image editing via semantic-aware diffusion fine-tuning

2026

Journal Article

Label-efficient outdoor 3D object detection via single click annotation from LiDAR point cloud

Xia, Qiming, Lin, Hongwei, Ye, Wei, Luo, Yadan, Zhao, Shijia, Wu, Hai, Wen, Chenglu and Wang, Cheng (2026). Label-efficient outdoor 3D object detection via single click annotation from LiDAR point cloud. Isprs Journal of Photogrammetry and Remote Sensing, 234, 151-166. doi: 10.1016/j.isprsjprs.2026.02.025

Label-efficient outdoor 3D object detection via single click annotation from LiDAR point cloud

2026

Other Outputs

Sorghum diversity head counting dataset

Karannagoda, Rukshan, Baktashmotlagh, Mahsa and Chapman, Scott (2026). Sorghum diversity head counting dataset. The University of Queensland. (Dataset) doi: 10.48610/45beb77

Sorghum diversity head counting dataset

2026

Journal Article

Distributed Zero-Shot Learning for Visual Recognition

Chen, Zhi, Luo, Yadan, Huang, Zi, Li, Jingjing, Wang, Sen and Yu, Xin (2026). Distributed Zero-Shot Learning for Visual Recognition. IEEE Transactions on Multimedia, 1-12. doi: 10.1109/TMM.2026.3673561

Distributed Zero-Shot Learning for Visual Recognition

2025

Journal Article

AI-Powered Semiconductor Wafer Fabrication: A Manufacturing Paradigm Shift,

He, Guanwei, Huang, Qingqing, Li, Xinhao, Zhou, Libo, Yang, Miao, Luo, Yadan, Wiercigroch, Marian and Huang, Han (2025). AI-Powered Semiconductor Wafer Fabrication: A Manufacturing Paradigm Shift,. International Journal of Machine Tools and Manufacture, 214 104345, 1-34. doi: 10.1016/j.ijmachtools.2025.104345

AI-Powered Semiconductor Wafer Fabrication: A Manufacturing Paradigm Shift,

2025

Conference Publication

WisWheat: a three-tiered vision-language dataset for wheat management

Yuan, Bowen, Song, Selena, Fernandez, Javier, Luo, Yadan, Baktashmotlagh, Mahsa and Wang, Zijian (2025). WisWheat: a three-tiered vision-language dataset for wheat management. 33rd ACM International Conference on Multimedia, Dublin, Ireland, 27-31 October 2025. New York, NY, United States: ACM. doi: 10.1145/3746027.3758256

WisWheat: a three-tiered vision-language dataset for wheat management

2025

Conference Publication

Are synthetic videos useful? A benchmark for retrieval-centric evaluation of synthetic videos

Zhao, Zecheng, Song, Selena, Chen, Tong, Chen, Zhi, Sadiq, Shazia and Luo, Yadan (2025). Are synthetic videos useful? A benchmark for retrieval-centric evaluation of synthetic videos. 2025 Conference on Multimedia-MM, Dublin, Ireland, 27-31 October 2025. New York, NY, United States: ACM. doi: 10.1145/3746027.3758257

Are synthetic videos useful? A benchmark for retrieval-centric evaluation of synthetic videos

2025

Journal Article

Open-CRB: toward Open World Active Learning for 3D Object Detection

Chen, Zhuoxiao, Luo, Yadan, Wang, Zixin, Wang, Zijian and Huang, Zi (2025). Open-CRB: toward Open World Active Learning for 3D Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 47 (10), 8336-8350. doi: 10.1109/tpami.2025.3575756

Open-CRB: toward Open World Active Learning for 3D Object Detection

2025

Conference Publication

Don’t shake the wheel: momentum-aware planning in end-to-end autonomous driving

Song, Ziying, Jia, Caiyan, Liu, Lin, Pan, Hongyu, Zhang, Yongchang, Wang, Junming, Zhang, Xingyu, Xu, Shaoqing, Yang, Lei and Luo, Yadan (2025). Don’t shake the wheel: momentum-aware planning in end-to-end autonomous driving. 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, United States, 10-17 June 2025. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/cvpr52734.2025.02089

Don’t shake the wheel: momentum-aware planning in end-to-end autonomous driving

2025

Journal Article

Adsorption–photocatalysis synergistic removal of perfluoroalkyl/polyfluoroalkyl substances by reusable chitin/polyethylene imine/O-g-C3N4 sponges in water environments

Sun, Cuizhu, Wang, Zhenggang, Li, Xinfei, Luo, Yadan, Zheng, Hao, Li, Xuan, Chen, Lingyun and Li, Fengmin (2025). Adsorption–photocatalysis synergistic removal of perfluoroalkyl/polyfluoroalkyl substances by reusable chitin/polyethylene imine/O-g-C3N4 sponges in water environments. Chemical Engineering Journal, 511 162006. doi: 10.1016/j.cej.2025.162006

Adsorption–photocatalysis synergistic removal of perfluoroalkyl/polyfluoroalkyl substances by reusable chitin/polyethylene imine/O-g-C3N4 sponges in water environments

2025

Journal Article

Out-of-distribution detection with virtual outlier smoothing

Nie, Jun, Luo, Yadan, Ye, Shanshan, Zhang, Yonggang, Tian, Xinmei and Fang, Zhen (2025). Out-of-distribution detection with virtual outlier smoothing. International Journal of Computer Vision, 133 (2), 724-741. doi: 10.1007/s11263-024-02210-8

Out-of-distribution detection with virtual outlier smoothing

2025

Conference Publication

MOS: Model synergy for test-time adaptation on lidar-based 3D object detection

Chen, Zhuoxiao, Meng, Junjie, Baktashmotlagh, Mahsa, Zhang, Yonggang, Huang, Zi and Luo, Yadan (2025). MOS: Model synergy for test-time adaptation on lidar-based 3D object detection. 13th International Conference on Learning Representations, ICLR 2025, Singapore, Singapore, 24 - 28 April 2025. International Conference on Learning Representations, ICLR.

MOS: Model synergy for test-time adaptation on lidar-based 3D object detection

2025

Journal Article

Enhanced prediction accuracy in high-speed grinding of brittle materials using advanced machine learning techniques

Lee, Sangkyoung, Chen, Zhuoxiao, Luo, Yadan, Li, Xuliang, Lu, Mingyuan, Huang, Zi Helen and Huang, Han (2025). Enhanced prediction accuracy in high-speed grinding of brittle materials using advanced machine learning techniques. Journal of Intelligent Manufacturing, 36 (8), 5415-5459. doi: 10.1007/s10845-024-02532-x

Enhanced prediction accuracy in high-speed grinding of brittle materials using advanced machine learning techniques

2025

Conference Publication

Polaformer: polarity-aware linear attention for vision transformers

Meng, Weikang, Luo, Yadan, Li, Xin, Jiang, Dongmei and Zhang, Zheng (2025). Polaformer: polarity-aware linear attention for vision transformers. 13th International Conference on Learning Representations, ICLR 2025, Singapore, Singapore, 24 - 28 April 2025. Red Hook, NY, United States: Curran Associates.

Polaformer: polarity-aware linear attention for vision transformers

2024

Conference Publication

Exploiting descriptive completeness prior for cross modal hashing with incomplete labels

Luo, Haoyang, Zhang, Zheng and Luo, Yadan (2024). Exploiting descriptive completeness prior for cross modal hashing with incomplete labels. 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, BC, Canada, 9-15 Decmeber 2024. San Mateo, CA, United States: Morgan Kaufmann Publishers. doi: 10.52202/079017-1608

Exploiting descriptive completeness prior for cross modal hashing with incomplete labels

2024

Conference Publication

Find n’ Propagate: Open-Vocabulary 3D Object Detection in Urban Environments

Etchegaray, Djamahl, Huang, Zi, Harada, Tatsuya and Luo, Yadan (2024). Find n’ Propagate: Open-Vocabulary 3D Object Detection in Urban Environments. 18th European Conference on Computer Vision ECCV 2024, Milan, Italy, 29 September – 4 October 2024. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-73661-2_8

Find n’ Propagate: Open-Vocabulary 3D Object Detection in Urban Environments

Current funding

  • 2024 - 2027
    Towards Evolvable and Sustainable Multimodal Machine Learning
    ARC Discovery Early Career Researcher Award
    Open grant
  • 2024 - 2027
    Embracing Changes for Responsive Video-sharing Services
    ARC Discovery Projects
    Open grant
  • 2023 - 2026
    Road Atlas: AI-power platform for automated road distress detection and asset management
    Logan City Council
    Open grant
  • 2023 - 2027
    Analytics for the Australian Grains Industry (AAGI)
    Grains Research & Development Corporation
    Open grant

Past funding

  • 2025
    Beating the Neural Scaling Law through Affordable Machine Learning
    UQ Foundation Research Excellence Awards
    Open grant
  • 2022 - 2024
    Developing a proof-of-concept self-contact tracing app to support epidemiological investigations and outbreak response (Australia-Korea Joint Call for Joint Research Projects - ATSE Tech Bridge Grant)
    Australian Academy of Technological Sciences and Engineering
    Open grant

Availability

Dr Yadan Luo is:
Available for supervision

Looking for a supervisor? Read our advice on how to choose a supervisor.

Supervision history

Current supervision

Completed supervision

Enquiries

Contact Dr Yadan Luo directly for media enquiries about their areas of expertise.

Need help?

For help with finding experts, story ideas and media enquiries, contact our Media team:

communications@uq.edu.au