Yadan Luo

The University of Queensland.

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I am a Lecturer / Assistant Professor and ARC Discovery Early Career Researcher Awardee at the School of Information Technology and Electrical Engineering, The University of Queensland (UQ), Australia. My research interests include domain adaptation, domain generalization, few-shot / zero-shot learning, active learning. I was the recipient of the Google PhD Fellowship and ICT Young Achiever, Women in Technology (WiT). I received my PhD in Computer Science from UQ in 2021, advised by Prof Helen Huang and Dr Mahsa Baktahmotlagh. I received my bachelor’s degree in Computer Science from Yingcai Honors College, University of Electronic Science and Technology of China (UESTC) in 2017.

:fire: I am recruiting PhDs in computer vision and machine learning. Please feel free to drop me an email with your CV. One scholarship available for the 2024-July enrollment.

News

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.
Jul, 2023 One research paper and one demo paper have been accepted by ACM Multimedia 2023. Big congrats to Zixin and Djamahal!
Jul, 2023 Three papers have been accepted by ICCV 2023. Big congrats to Zhuoxiao and Zijian!
Jun, 2023 I am serving as Area Chair for MM 2023 and Meta Reviewer for AJCAI 2023.
Apr, 2023 One Source-free OSDA paper has been accepted by TPAMI. Source code has been released.
Mar, 2023 I am honored to be selected as one of the 2023 Chinese Young Female Scholars in Artificial Intelligence, Baidu.
Jan, 2023 :fire: We are orgnizing DS Seminar Series! Check this out: https://uq-ds-seminar.github.io/
Jan, 2023 1 paper (about active 3D detection) has been accepted as Spotlight by ICLR2023. :newspaper: https://arxiv.org/abs/2301.09249 :star: https://github.com/Luoyadan/CRB-active-3Ddet
Nov, 2022 :sparkles: At DICTA 2022, I gave an invited talk on “Addressing domain shift in an Open World”.
Aug, 2021 1 paper (about domain generalization) has been accepted by WACV23.

Selected Publications

  1. 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
  2. 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
  3. 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
  4. Adversarial Bipartite Graph Learning for Video Domain Adaptation
    Yadan Luo, Zi Huang, Zijian Wang, Zheng Zhang, and 1 more author
    In MM ’20: The 28th ACM International Conference on Multimedia 2020