Xinyu Zhang

Xinyu Zhang

Australian Institute for Machine Learning - Projects

Faculty of Sciences, Engineering and Technology

Dr Xinyu Zhang is currently a Research Fellow at Australian Institute for Machine Learning (AIML), the University of Adelaide (UoA), working with A/Prof. Lingqiao Liu. Before that, She was a Senior Research Scientist in Baidu Inc., working closely with Chief Scientist Jingdong Wang. She was also a Research Fellow at AIML working on the Neonatal Medical Project. She earned her Ph.D from Tongji University and was a visiting Ph.D student at the University of Adelaide, under the supervision of Prof. Chunhua Shen, Prof. Javen Qinfeng Shi, Prof. Anton van den Hengel and Prof. Mingyu You. Dr Zhang has broad interests in computer vision and metric learning. Her current research topics centers on image / video generation, self-supervised / un-supervised learning, human-centric AI and multimodal retrieval.

Google Scholar: https://scholar.google.com/citations?user=PSzJxD8AAAAJ&hl=en

Conference Reviewer:
ICLR, NeurIPS, CVPR, ICCV, ECCV, AAAI, IJCAI

Journal Reviewer:
TPAMI, IJCV, TMM, PR, Neurocomputing

  • Appointments
    Date Position Institution name
    2024 - ongoing Research Fellow University of Adelaide
    2021 - 2024 Senior Research Scientist Baidu (China)
    2020 - 2021 Research Fellow Australian Institute for Machine Learning (AIML)

  • Journals
    Year Citation
    2024 Zhang, J., Wang, M., Jiang, H., Zhang, X., Yan, C., & Zeng, D. (2024). STAT: Multi-Object Tracking Based on Spatio-Temporal Topological Constraints. IEEE Transactions on Multimedia, 26, 4445-4457.
    DOI Scopus1
    2023 Yin, J., Zhang, X., Ma, Z., Guo, J., & Liu, Y. (2023). A Real-Time Memory Updating Strategy for Unsupervised Person Re-Identification. IEEE Transactions on Image Processing, 32, 2309-2321.
    DOI Scopus11 WoS1
    2023 Zhang, X., Chen, J., Yuan, J., Chen, Q., Wang, J., Wang, X., . . . Wang, J. (2023). CAE v2: Context autoencoder with CLIP latent alignment. Transactions on Machine Learning Research.
    2020 Zhang, X., Zhang, R., Cao, J., Gong, D., You, M., & Shen, C. (2020). Part-Guided Attention Learning for Vehicle Instance Retrieval. IEEE Transactions on Intelligent Transportation Systems, 23(4), 1-13.
    DOI Scopus28 WoS19
    2018 You, M., Zhang, Y., Shen, C., & Zhang, X. (2018). An Extended Filtered Channel Framework for Pedestrian Detection. IEEE Transactions on Intelligent Transportation Systems, 19(5), 1640-1651.
    DOI Scopus21 WoS16

  • Preprint
    Year Citation
    2024 Yang, L., Zhang, X., Li, X., Chen, J., Yao, K., Zhang, G., . . . Yang, J. (2024). Add-SD: Rational Generation without Manual Reference.
    2024 You, Z., Zhang, X., Guo, H., Wang, J., & Li, C. (2024). Are Image Distributions Indistinguishable to Humans Indistinguishable to
    Classifiers?.
    2024 Liao, M., Lu, H., Zhang, X., Wan, F., Wang, T., Zhao, Y., . . . Wang, J. (2024). Evaluation of Text-to-Video Generation Models: A Dynamics Perspective.
    2024 Chen, Q., Su, X., Zhang, X., Wang, J., Chen, J., Shen, Y., . . . Wang, J. (2024). LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection.
    2024 Wang, Y., Su, X., Chen, Q., Zhang, X., Xi, T., Yao, K., . . . Wang, J. (2024). OVLW-DETR: Open-Vocabulary Light-Weighted Detection Transformer.
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