Xinyu Zhang

Xinyu Zhang

Australian Institute for Machine Learning

Division of Research and Innovation

Dr Xinyu Zhang is currently a Lecturer at the School of Computer Science, University of Auckland, and also an Adjunct Lecturer at Australian Institute for Machine Learning (AIML), the University of Adelaide.
 
She was a Research Fellow at AIML, working closely with A/Prof. Lingqiao Liu and Prof. Anton van den Hengel. 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
 
Area Chair:
CVPR, ICCV, WACV
Conference Reviewer:ICLR, NeurIPS, CVPR, ICCV, ECCV, AAAI, IJCAIJournal Reviewer:TPAMI, IJCV, TMM, PR, Neurocomputing

  • 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 Scopus16 WoS16
    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 : a publication of the IEEE Signal Processing Society, 32, 2309-2321.
    DOI Scopus55 WoS43 Europe PMC1
    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 Scopus49 WoS41
    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 Scopus22 WoS19

  • Conference Papers
    Year Citation
    2025 Zhang, X., Gong, D., Duan, Z., van den Hengel, A., & Liu, L. (2025). Let Your Video Listen to Your Music! -- Beat-Aligned, Content-Preserving Video Editing with Arbitrary Music. In Proceedings of the 33rd ACM International Conference on Multimedia (pp. 12140-12149). ACM.
    DOI
    2024 Yuan, J., Zhang, X., Zhou, H., Wang, J., Qiu, Z., Shao, Z., . . . Wang, J. (2024). Hap: Structure-aware masked image modeling for human-centric perception. In NeurIPS Proceedings. Online: NeurIPS.
    2024 Sun, Y., Chen, J., Zhang, S., Zhang, X., Chen, Q., Zhang, G., . . . Li, Z. (2024). VRP-SAM: SAM with Visual Reference Prompt. In 2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (pp. 23565-23574). WA, Seattle: IEEE COMPUTER SOC.
    DOI WoS23
    2023 Shao, Z., Zhang, X., Ding, C., Wang, J., & Wang, J. (2023). Unified Pre-training with Pseudo Texts for Text-To-Image Person Re-identification. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV, 2023) (pp. 1-11). Online: IEEE.
    DOI WoS34
    2022 Li, D., Wang, Z., Wang, J., Zhang, X., Ding, E., Wang, J., & Zhang, Z. (2022). Self-Guided Hard Negative Generation for Unsupervised Person Re-Identification. In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (pp. 1067-1073). Vienna: International Joint Conferences on Artificial Intelligence Organization.
    DOI WoS4
    2022 Zhang, X., Li, D., Wang, Z., Wang, J., Ding, E., Shi, J. Q., . . . Wang, J. (2022). Implicit Sample Extension for Unsupervised Person Re-Identification. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2022-June (pp. 7359-7368). Online: IEEE.
    DOI Scopus141 WoS113
    2022 Shao, Z., Zhang, X., Fang, M., Lin, Z., Wang, J., & Ding, C. (2022). Learning Granularity-Unified Representations for Text-to-Image Person Re-identification. In Proceedings of the 30th ACM International Conference on Multimedia (pp. 5566-5574). Online: ACM.
    DOI WoS108
    2022 Xi, T., Sun, Y., Yu, D., Li, B., Peng, N., Zhang, G., . . . Wang, J. (2022). UFO: Unified Feature Optimization. In European Conference on Computer Vision Vol. 13686 (pp. 472-488). Tel Aviv: Springer Science and Business Media Deutschland GmbH.
    DOI WoS7
    2021 Zhang, X., Wang, X., Bian, J. -W., Shen, C., & You, M. (2021). Diverse Knowledge Distillation for End-to-End Person Search. In THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE Vol. 35 (pp. 3412-3420). Virtual, Online: ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE.
    DOI Scopus41 WoS30
    2019 Zhang, X., Cao, J., Shen, C., & You, M. (2019). Self-training with progressive augmentation for unsupervised cross-domain person re-identification. In Proceedings of the IEEE International Conference on Computer Vision Vol. 2019-October (pp. 8221-8230). online: IEEE.
    DOI Scopus261 WoS237

  • 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 Images Indistinguishable to Humans Also 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.

  • Current Higher Degree by Research Supervision (University of Adelaide)
    Date Role Research Topic Program Degree Type Student Load Student Name
    2025 External Supervisor Low-supervision Learning via Knowledge Transfer from Pretrained Models Doctor of Philosophy Doctorate Full Time Mr Zicheng Duan
    2025 External Supervisor Toward Multi-Agent 3D Dynamic Scene Generation: A Framework for Complex Interactions in Shared Virtual Environments Master of Philosophy Master Full Time Mr Zhiyuan Zhang
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