Yadan Luo

I am a Lecturer / Assistant Professor 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 2025-July enrollment.

News

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.
Dec, 2023	One research paper on out-of-distribution (OOD) detection has been accepted by ICLR 2024.
Dec, 2023	I will serve as an Associate Editor for IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) from 2024.
Dec, 2023	I have been awarded the Early Career Research Award, EAIT, The University of Queensland.
Sep, 2023	One research paper has been accepted by ICDM 2023.
Aug, 2023	I have been awarded the ARC DECRA Fellowship from 2024-2026.

Selected Publications

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 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} 2024},
  publisher = {OpenReview.net},
  year = {2024},
}

KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection

Yadan Luo, Zhuoxiao Chen, Zhen Fang, Zheng Zhang, and 2 more authors

In 2023 IEEE/CVF International Conference on Computer Vision, ICCV 2023

ICCV

arXiv Bib Code

@inproceedings{DBLP:conf/iccv/Luo23,
  author = {Luo, Yadan and Chen, Zhuoxiao and Fang, Zhen and and Zheng Zhang and Huang, Zi and Baktashmotlagh, Mahsa},
  title = {KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection},
  booktitle = {2023 {IEEE/CVF} International Conference on Computer Vision, {ICCV}},
  publisher = {{IEEE}},
  year = {2023},
}

Exploring Active 3D Object Detection from a Generalization Perspective

Yadan Luo, Zhuoxiao Chen, Zijian Wang, Xin Yu, and 2 more authors

In International Conference on Learning Representations, ICLR 2023 2023

ICLR

arXiv Bib Code

@inproceedings{DBLP:conf/iclr/crb,
  author = {Luo, Yadan and Chen, Zhuoxiao and Wang, Zijian and Yu, Xin and Huang, Zi and Baktashmotlagh, Mahsa},
  title = {Exploring Active 3D Object Detection from a Generalization Perspective},
  booktitle = {International Conference on Learning Representations, {ICLR} 2023},
  publisher = {OpenReview.net},
  year = {2023},
}

Progressive Graph Learning for Open-Set Domain Adaptation

Yadan Luo, Zijian Wang, Zi Huang, and Mahsa Baktashmotlagh

In Proc. of the 37th International Conference on Machine Learning, ICML 2020 2020

ICML

Bib Code

@inproceedings{DBLP:conf/icml/LuoWHB20,
  author = {Luo, Yadan and Wang, Zijian and Huang, Zi and Baktashmotlagh, Mahsa},
  title = {Progressive Graph Learning for Open-Set Domain Adaptation},
  booktitle = {Proc. of the 37th International Conference on Machine Learning,
                 {ICML} 2020},
  series = {Proceedings of Machine Learning Research},
  volume = {119},
  pages = {6468--6478},
  publisher = {{PMLR}},
  year = {2020},
  timestamp = {Tue, 15 Dec 2020 00:00:00 +0100},
  biburl = {https://dblp.org/rec/conf/icml/LuoWHB20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org},
}