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Miao Xu

University of Queensland, Brisbane, QLD, Australia

16 papers at tracked venues · 8 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Lifting Manifolds to Mitigate Pseudo-Alignment in LLM4TS
  2. Adaptive Spline Networks in the Kolmogorov-Arnold Framework: Knot Analysis and Stability Enhancement
  3. Calibrating on Kolmogorov-Arnold Network
  4. Calibrating on Medical Segmentation Model through Signed Distance
  5. ComRank: Ranking Loss for Multi-Label Complementary Label Learning
  6. Cross-View Isolated Sign Language Recognition Challenge: Design, Results and Future Research
  7. Machine Unlearning for Streaming Forgetting
  8. Toward Efficient Data-Free Unlearning
  9. Understanding Why Large Language Models Can Be Ineffective in Time Series Analysis: The Impact of Modality Alignment
  10. CaMU: Disentangling Causal Effects in Deep Model Unlearning
  11. Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks
  12. Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics
  13. Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models
  14. Machine Unlearning: Challenges in Data Quality and Access
    IJCAI 2024 · Miao Xu
  15. Unlearning from Weakly Supervised Learning
  16. What Makes Partial-Label Learning Algorithms Effective?