Yanyuan Qiao

Yanyuan Qiao

Australian Institute for Machine Learning - Projects

Faculty of Sciences, Engineering and Technology

Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.


Vision and Language, Embodied AI

  • Appointments

    Date Position Institution name
    2023 - ongoing Postdoctoral Research Fellow University of Adelaide
  • Education

    Date Institution name Country Title
    2020 - 2023 University of Adelaide Australia PhD
    2016 - 2019 University of Chinese Academy of Sciences China Master
    2012 - 2016 Southeast University China Bachelor
  • Journals

    Year Citation
    2023 Qiao, Y., Qi, Y., Hong, Y., Yu, Z., Wang, P., & Wu, Q. (2023). HOP+: History-Enhanced and Order-Aware Pre-Training for Vision-and-Language Navigation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(7), 8524-8537.
    DOI Scopus15 WoS1
    2023 Shi, X., Qiao, Y., Wu, Q., Liu, L., & Dayoub, F. (2023). Improving Online Source-free Domain Adaptation for Object Detection by
    Unsupervised Data Acquisition.
    2020 Qiao, Y., Deng, C., & Wu, Q. (2020). Referring expression comprehension: a survey of methods and datasets. IEEE Transactions on Multimedia, 23, 4426-4440.
    DOI Scopus40 WoS11
    2019 Fang, Z., Liu, J., Li, Y., Qiao, Y., & Lu, H. (2019). Improving visual question answering using dropout and enhanced question encoder. Pattern Recognition, 90, 404-414.
    DOI Scopus29
  • Conference Papers

    Year Citation
    2024 Yu, Z., Qiao, Y., Xie, Y., & Wu, Q. (2024). Multi-modal Adapter for Medical Vision-and-Language Learning. In X. Cao, X. Xu, I. Rekik, Z. Cui, & X. Ouyang (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14348 LNCS (pp. 393-402). CANADA, Vancouver: SPRINGER INTERNATIONAL PUBLISHING AG.
    DOI
    2023 Qiao, Y., Qi, Y., Yu, Z., Liu, J., & Wu, Q. (2023). March in Chat: Interactive Prompting for Remote Embodied Referring Expression. In Proceedings of the IEEE International Conference on Computer Vision (pp. 15712-15721). Paris, France: IEEE.
    DOI Scopus1
    2023 Qiao, Y., Yu, Z., & Wu, Q. (2023). VLN-PETL: Parameter-Efficient Transfer Learning for Vision-and-Language Navigation. In Proceedings of the IEEE International Conference on Computer Vision (pp. 15397-15406). FRANCE, Paris: IEEE COMPUTER SOC.
    DOI
    2022 Qiao, Y., Qi, Y., Hong, Y., Yu, Z., Wang, P., & Wu, Q. (2022). HOP: History-and-Order Aware Pretraining for Vision-and-Language Navigation. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2022-June (pp. 15397-15406). New Orleans, LA, USA: IEEE.
    DOI Scopus32
    2021 Qiao, Y., Chen, Q., Deng, C., DIng, N., Qi, Y., Tan, M., . . . Wu, Q. (2021). R-GAN: Exploring Human-like Way for Reasonable Text-to-Image Synthesis via Generative Adversarial Networks. In MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia (pp. 2085-2093). New York, NY, United States: Association for Computing Machinery.
    DOI Scopus12 WoS7
    2020 Qiao, Y., Yu, Z., & Liu, J. (2020). VC-VQA: Visual Calibration Mechanism for Visual Question Answering. In Proceedings - International Conference on Image Processing, ICIP Vol. 2020-October (pp. 1481-1485). IEEE.
    DOI Scopus5
    2020 Qiao, Y., Yu, Z., & Liu, J. (2020). Rankvqa: Answer Re-Ranking for Visual Question Answering. In Proceedings - IEEE International Conference on Multimedia and Expo Vol. 2020-July. IEEE.
    DOI Scopus6
    2018 Fang, Z., Liu, J., Qiao, Y., Tang, Q., Li, Y., & Lu, H. (2018). Enhancing visual question answering using dropout. In MM 2018 - Proceedings of the 2018 ACM Multimedia Conference (pp. 1002-1010). ACM.
    DOI Scopus4

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