Yadan Luo

I am a Senior Lecturer and ARC Discovery Early Career Researcher Awardee at the School of Electrical Engineering and Computer Science, The University of Queensland (UQ), Australia. My research interests center on data-centric learning, aiming to leverage imperfect and inexact data to enhance model recognition in 2D/3D in open-world environments. I was honored with the Google PhD Fellowship and ICT Young Achiever, Women in Technology (WiT). I earned my PhD in Computer Science from UQ in 2021, under the supervision of Prof Helen Huang and Dr Mahsa Baktahmotlagh. I completed my bachelor’s degree in Computer Science from Yingcai Honors College, University of Electronic Science and Technology of China (UESTC) in 2017.

I am recruiting PhDs in computer vision and machine learning. Please feel free to drop me an email with your CV. Scholarships may be available for the 2026-July enrollment.

News

Feb, 2025	One end-to-end autonomous driving paper has been accepted for presentation at CVPR 2025.
Feb, 2025	ICLR 2025 has accepted one Poster and one Oral paper (1.8%). Congratulations to the team on this remarkable achievement!
Jan, 2025	I will serve as an Area Chair for ICML 2025.
Nov, 2024	Grateful to receive both the Outstanding Service Award and the Outstanding Area Chair Award at ACM MM 2024. Thank you to the community for the recognition and support! 🌟
Oct, 2024	I will serve as an Area Chair for CVPR 2025.
Oct, 2024	I will serve as an Area Chair for ICLR 2025.
Oct, 2024	3 papers on prompt expansion for class-agnostic detection, dataset distillation and cross-modal retrieval with incomplete labels has been accepted by NeurIPS 2024!
Jul, 2024	Our survey on online test-time adaptation has been accepted by IJCV.
Jul, 2024	One paper on test-time adaptation for 3D detection has been accepted by MM 2024.
Jul, 2024	One paper on open-vocabulary 3D detection has been accepted by ECCV 2024.

Selected Publications

Don’t Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving

Ziying Song, Caiyan Jia, Lin Liu, Hongyu Pan, and 6 more authors

In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025

CVPR

arXiv Bib PDF Code

@inproceedings{DBLP:conf/cvpr/momad,
  author = {Song, Ziying and Jia, Caiyan and Liu, Lin and Pan, Hongyu and Zhang, Yongchang and Wang, Junming and Zhang, Xingyu and Xu, Shaoqing and Yang, Lei and Luo, Yadan},
  title = {Don't Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
}

MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection

Zhuoxiao Chen, Junjie Meng, Mahsa Baktashmotlagh, Yonggang Zhang, and 2 more authors

In International Conference on Learning Representations (ICLR), **Oral Presentation** 2025

ICLR

arXiv Bib PDF Code

@inproceedings{DBLP:conf/iclr/mos,
  author = {Chen, Zhuoxiao and Meng, Junjie and Baktashmotlagh, Mahsa and Zhang, Yonggang and Huang, Zi and Luo, Yadan},
  title = {MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection},
  booktitle = {International Conference on Learning Representations ({ICLR}), **Oral Presentation**},
  publisher = {OpenReview.net},
  year = {2025},
}

PolaFormer: Polarity-aware Linear Attention for Vision Transformers

Weikang Meng, Yadan Luo, Xin Li, Dongmei Jiang, and 1 more author

In International Conference on Learning Representations (ICLR) 2025

ICLR

arXiv Bib PDF Code

@inproceedings{DBLP:conf/iclr/polaformer,
  author = {Meng, Weikang and Luo, Yadan and Li, Xin and Jiang, Dongmei and Zhang, Zheng},
  title = {PolaFormer: Polarity-aware Linear Attention for Vision Transformers},
  booktitle = {International Conference on Learning Representations ({ICLR})},
  publisher = {OpenReview.net},
  year = {2025},
}

ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection

Bo Peng*, Yadan Luo*, Yonggang Zhang, Yixuan Li, and 1 more author

In International Conference on Learning Representations (ICLR) 2024

ICLR

arXiv Bib

@inproceedings{DBLP:conf/iclr/conjnorm,
  author = {Peng*, Bo and Luo*, Yadan and Zhang, Yonggang and Li, Yixuan and Fang, Zhen},
  title = {ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection},
  booktitle = {International Conference on Learning Representations (ICLR)},
  publisher = {OpenReview.net},
  year = {2024},
}