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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.

Recent News

Research Interests

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

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.

Robustness
Challenge
Medical
Intelligence
Static External
Environments
Non-stationary
Open World
Endogenous
Hallucinations
Precision
Personalization
Specialized
Model
Reasoning
Large Model
Multi-Agent
Collaboration
BIBM'22Cross-modal
Medical Image
Generation
AAAI'23Long-tailed
Pancreatic Tumor
Representation
TMI'25Geometry-Aware
Coronary Artery
Segmentation
ICML'25Efficient
Medical Image
Representation
AAAI'25 (Oral)Multi-expert
Knowledge Fusion
ICLR'25Image-Text
Alignment in Medical
MLLM Pre-training
NeurIPS'25Medical Temporal
Domain Generalization
NeurIPS'25Chest X-ray
Trustworthy Inference
Diagnosis
TFS'26Multi-Stream
Dynamic Data
Generalization
ICML'26Multiple MLLMs
Collaborative
Diagnosis
Target: Robust AI for
Dynamic Health

Recent Publications

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

  1. ICML'26
    Turning Drift into Constraint: Robust Reasoning Alignment in Non-Stationary Multi-Stream Environments
    Xiaoyu Yang, En Yu, Wei Duan, Jie Lu
    International Conference on Machine Learning (ICML), 2026.
    Arxiv Code CXR-MAX Dataset Project Page BibTex

  2. 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.
    Paper Arxiv Code CXR-CounterFact Dataset Project Page BibTex

  3. 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.
    Paper Arxiv Code OpenMMlo Dataset Project Page BibTex
    OpenMMlo dataset with 2k+ downloads!

  4. 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.
    Paper Arxiv Code BibTex

  5. 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.
    Paper Arxiv Code CCA Dataset BibTex

  6. 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.
    Paper BibTex

  7. 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.
    Paper Arxiv BibTex Reported by 机器之心
    Oral Presentation

  8. 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.
    Paper Arxiv BibTex

  9. 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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