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Xiaoyu Yang

Ph.D. Student
Australian Artificial Intelligence Institute (AAII),
University of Technology Sydney (UTS)
Xiaoyu.Yang-3@student.uts.edu.au


About Me

Hi there, I am Xiaoyu Yang, a Ph.D. student at the Australian Artificial Intelligence Institute (AAII) in the Faculty of Engineering and Information Technology, the University of Technology Sydney, luckily supervised by Distinguished Professor Jie Lu. And, I was supervised by Associate Professor Yufei Chen, and obtained a master’s degree from Tongji University.

I believe that, the mission of AI is to harness the most pioneering innovations to serve the collective welfare of humanity in responsible, ethical and fair manners.

Research Interests

My current research interests lie in drift within non-stationary medical environments, to ensure that the future of healthcare is not only intelligent, but equitable, reliable, and universally beneficial.

Awards

Recent Publications

Recent publications in the past three years. Full list on Google Scholar Profile .

  1. NeurIPS'25
    Walking the Tightrope: Autonomous Disentangling Beneficial and Detrimental Drifts in Non-Stationary Custom-Tuning
    Xiaoyu Yang, Jie Lu, En Yu
    Conference on Neural Information Processing Systems (NeurIPS), 2025.
    PDF Code Dataset Project Page BibTex

  2. ICLR'25
    Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards
    Xiaoyu Yang, Jie Lu, En Yu
    International Conference on Learning Representations (ICLR), 2025.
    PDF Code Dataset BibTex

  3. ICML'25
    One Leaf Reveals the Season: Occlusion-Based Contrastive Learning with Semantic-Aware Views for Efficient Visual Representation
    Xiaoyu Yang, Lijian Xu, Hongsheng Li, Shaoting Zhang
    International Conference on Machine Learning (ICML), 2025.
    PDF Code BibTex

  4. TMI'25
    Segmentation and vascular vectorization for coronary artery by geometry-based cascaded neural network
    Xiaoyu Yang, Lijian Xu, Simon Yu, Qing Xia, Hongsheng Li, Shaoting Zhang
    IEEE Transactions on Medical Imaging (TMI), 2025.
    PDF Code Dataset BibTex

  5. AAAI'23
    T-distributed spherical feature representation for imbalanced classification
    Xiaoyu Yang, Yufei Chen, Xiaodong Yue, Shaoxun Xu, Chao Ma
    AAAI Conference on Artificial Intelligence (AAAI), 2023.
    PDF BibTex

  6. AAAI'26
    Drift-aware collaborative assistance mixture of experts for heterogeneous multistream learning
    En Yu, Jie Lu, Kun Wang, Xiaoyu Yang, Guangquan Zhang
    AAAI Conference on Artificial Intelligence (AAAI) Oral, 2026.
    PDF BibTex Oral Presentation

  7. NeurIPS'25
    Learning robust spectral dynamics for temporal domain generalization
    En Yu, Jie Lu, Xiaoyu Yang, Guangquan Zhang, Zhen Fang
    Conference on Neural Information Processing Systems (NeurIPS), 2025.
    PDF BibTex

  8. TFS'26
    Autonomous Online Multistream Generalization Via Fuzzy Joint Discriminant Analysis
    En Yu, Jie Lu, Xiaoyu Yang, Guangquan Zhang
    IEEE Transactions on Fuzzy Systems (TFS), 2026.
    BibTex

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