Ziyue Qiao

Venues

Frequent coauthors

Papers

1. Calibrating Inference Time Alignment with Sequence-level Risk Accumulation
   ACL 2026 ·

   Shanwen Tan

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2. DANCE: Diversity-attended Dynamic Caching with Asymmetric Quantization for Test-time Adaptation of Vision-Language Models
   ACL 2026 ·

   Shunge Zou

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3. DisCo: Diffusion-guided Unbiased Discriminative Learning for Unsupervised Graph Domain Adaptation
   SIGKDD 2026 ·

   Haodong Zhang

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4. Evidence-aware Integration and Domain Identification of Spatial Transcriptomics Data
   AAAI 2026 ·

   Wei Zhang

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5. Evolving Sparsity: Leveraging Token Importance Dynamics for Efficient LLM Decoding with Sparse Attention
   ACL 2026 ·

   Ruizi Han

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6. GROVER: Graph-guided Representation of Omics and Vision with Expert Regulation for Adaptive Spatial Multi-omics Fusion
   AAAI 2026 ·

   Yongjun Xiao

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7. Graph Cross-Domain Continual Fine-Tuning via Orthogonal LoRA Routing with Contrastive Expert Specialization
   WWW 2026 ·

   Qianyi Cai

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8. Long-Tailed Recognition of Evidential Experts for Graph-level Classification
   WWW 2026 ·

   Wei Ju

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9. Shift-Resilient Diffusive Imputation for Variable Subset Forecasting
   WWW 2026 ·

   Haihua Xu

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10. A Survey on Foundation Language Models for Single-cell Biology
    ACL 2025 ·

    Fan Zhang

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11. Activation Shape Matters: OOD Detection with Norm-Entropy Fusion
    ACM MM 2025 ·

    Jiawei Gu

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12. Cluster-guided Contrastive Class-imbalanced Graph Classification
    AAAI 2025 ·

    Wei Ju

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13. Deep Graph Clustering with Disentangled Representation Learning
    ACM MM 2025 ·

    Yifan Wang

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14. Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning
    ACL 2025 ·

    Hao Dong

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15. Fastft: Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies
    ICDE 2025 ·

    Tianqi He

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16. Fourier Clouds: Fast Bias Correction for Imbalanced Semi-Supervised Learning
    NeurIPS 2025 ·

    Jiawei Gu

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17. GCAL: Adapting Graph Models to Evolving Domain Shifts
    ICML 2025 · Ziyue Qiao
18. Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention
    ICCV 2025 ·

    Jiawei Gu

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19. NeuBM: Mitigating Model Bias in Graph Neural Networks Through Neutral Input Calibration
    IJCAI 2025 ·

    Jiawei Gu

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20. On the Cross-type Homophily of Heterogeneous Graphs: Understanding and Unleashing
    CIKM 2025 ·

    Zhen Tao

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21. PALA: Class-imbalanced Graph Domain Adaptation via Prototype-anchored Learning and Alignment
    IJCAI 2025 ·

    Xin Ma

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22. PRAGA: Prototype-aware Graph Adaptive Aggregation for Spatial Multi-modal Omics Analysis
    AAAI 2025 ·

    Xinlei Huang

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23. Refining Norms: A Post-hoc Framework for OOD Detection in Graph Neural Networks
    NeurIPS 2025 ·

    Jiawei Gu

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24. Rethinking Graph Contrastive Learning Through Relative Similarity Preservation
    IJCAI 2025 ·

    Zhiyuan Ning

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25. Revisiting Noise Resilience Strategies in Gesture Recognition: Short-Term Enhancement in sEMG Analysis
    ICML 2025 ·

    Weiyu Guo

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26. Revitalizing SVD for Global Covariance Pooling: Halley's Method to Overcome Over-Flattening
    NeurIPS 2025 ·

    Jiawei Gu

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27. Single-View Graph Contrastive Learning with Soft Neighborhood Awareness
    AAAI 2025 ·

    Qingqiang Sun

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28. SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps
    IJCAI 2025 ·

    Jiawei Gu

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29. Towards Continuous Reuse of Graph Models via Holistic Memory Diversification
    ICLR 2025 · Ziyue Qiao
30. Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning
    NeurIPS 2025 ·

    Haomiao Qiu

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31. SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network
    NeurIPS 2024 ·

    Weiyu Guo

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