Fausto Giunchiglia

Venues

Frequent coauthors

Papers

1. From Fake to Real: Mitigating Out-of-Distribution Bias in In-Context Learning via Feedback Supervision from Large Language Models
   ACL 2026 ·

   Rui Song

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2. SPARD: Single-step Inference with Adaptive Sampling in Residual Diffusion for Human Motion Prediction
   AAAI 2026 ·

   Yiming Zhang

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3. Simple-Sampling and Hard-Mixup with Prototypes to Rebalance Contrastive Learning for Text Classification
   WWW 2026 ·

   Mengyu Li

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4. Toward Robust In-Context Learning: Leveraging Out-of-distribution Proxies for Target Inaccessible Demonstration Retrieval
   ACL 2026 ·

   Hao Xu

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5. A Simple Graph Contrastive Learning Framework for Short Text Classification
   AAAI 2025 ·

   Yonghao Liu

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6. Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning
   AAAI 2025 ·

   Yonghao Liu

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7. DiversityOne Open Challenge: Exploring People's Everyday Life Behavior with Mobile Data
   UbiComp/ISWC 2025 ·

   Andrea Bontempelli

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8. Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks
   WWW 2025 ·

   Yonghao Liu

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9. Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
   SIGKDD 2025 ·

   Yonghao Liu

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10. Graph Few-Shot Learning via Adaptive Spectrum Experts and Cross-Set Distribution Calibration
    NeurIPS 2025 ·

    Yonghao Liu

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11. A Simple but Effective Approach for Unsupervised Few-Shot Graph Classification
    WWW 2024 ·

    Yonghao Liu

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12. Ancient Chinese Glyph Identification Powered by Radical Semantics
    ACL 2024 ·

    Yang Chi

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13. Big-Thick Data Generation via Reference and Personal Context Unification
    ECAI 2024 · Fausto Giunchiglia
14. Improved Graph Contrastive Learning for Short Text Classification
    AAAI 2024 ·

    Yonghao Liu

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15. Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference
    IJCAI 2024 ·

    Yonghao Liu

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16. TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification
    AAAI 2024 ·

    Rui Song

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