Xu Chu

Venues

Frequent coauthors

Papers

1. Beyond Imputation: A Semantic Unification Framework for Data and its Missingness in Multimodal Healthcare Analytics
   ICDE 2026 ·

   Chaohe Zhang

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2. DFAMS: Dynamic-flow guided Federated Alignment based Multi-prototype Search
   ACL 2026 ·

   Zhibang Yang

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3. Efficient Transcoder Adaptation for Fine-Tuned Models: Revealing Medical Reasoning Mechanisms in Large Language Models
   AAAI 2026 ·

   Zhouxing Tan

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4. FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning
   ACL 2026 ·

   Yujie Feng

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5. Towards Order Fairness: Mitigating LLMs Order Sensitivity through Dual Group Advantage Optimization
   ACL 2026 · Xu Chu
6. 3DS: Medical Domain Adaptation of LLMs via Decomposed Difficulty-based Data Selection
   EMNLP 2025 ·

   Hongxin Ding

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7. AIMMerging: Adaptive Iterative Model Merging Using Training Trajectories for Language Model Continual Learning
   EMNLP 2025 ·

   Yujie Feng

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8. Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categories
   WWW 2025 ·

   Tianlong Wang

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9. DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing
   ICLR 2025 ·

   Xinyu Ma

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10. DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations
    AAAI 2025 ·

    Yongxin Xu

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11. Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation
    ICML 2025 ·

    Rihong Qiu

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12. Game Theory Meets Large Language Models: A Systematic Survey
    IJCAI 2025 ·

    Haoran Sun

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13. GeoEdit: Geometric Knowledge Editing for Large Language Models
    EMNLP 2025 ·

    Yujie Feng

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14. HyKGE: A Hypothesis Knowledge Graph Enhanced RAG Framework for Accurate and Reliable Medical LLMs Responses
    ACL 2025 ·

    Xinke Jiang

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15. KnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models
    AAAI 2025 ·

    Ruizhe Zhang

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16. Learnable Prompt as Pseudo-Imputation: Rethinking the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction
    SIGKDD 2025 ·

    Weibin Liao

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17. MODEL SHAPLEY: Find Your Ideal Parameter Player via One Gradient Backpropagation
    NeurIPS 2025 · Chu Xu
18. MSOFormer: Multi-scale Transformer with Orthogonal Embedding and Frequency Modeling for Multivariate Time Series Forecasting
    CIKM 2025 ·

    Qin Shi

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19. Mechanism Design for LLM Fine-tuning with Multiple Reward Models
    NeurIPS 2025 ·

    Haoran Sun

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20. Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning
    ACL 2025 ·

    Yongxin Xu

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21. Recurrent Knowledge Identification and Fusion for Language Model Continual Learning
    ACL 2025 ·

    Yujie Feng

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22. Stackelberg Self-Annotation: A Robust Approach to Data-Efficient LLM Alignment
    NeurIPS 2025 · Chu Xu
23. TC-RAG: Turing-Complete RAG's Case study on Medical LLM Systems
    ACL 2025 ·

    Xinke Jiang

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24. TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees
    ICLR 2025 ·

    Weibin Liao

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25. Combating Label Sparsity in Short Text Topic Modeling via Nearest Neighbor Augmentation
    ACL 2024 ·

    Yang Lin

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26. Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet
    ICML 2024 ·

    Zeyang Zhang

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27. Enhancing Topic Interpretability for Neural Topic Modeling Through Topic-Wise Contrastive Learning
    ICDE 2024 ·

    Xin Gao

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28. Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation
    ICML 2024 ·

    Xinyu Ma

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29. ProtoMix: Augmenting Health Status Representation Learning via Prototype-based Mixup
    SIGKDD 2024 ·

    Yongxin Xu

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30. RAGraph: A General Retrieval-Augmented Graph Learning Framework
    NeurIPS 2024 ·

    Xinke Jiang

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31. SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction
    NeurIPS 2024 ·

    Zhihao Yu

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32. TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation
    ACL 2024 ·

    Yujie Feng

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33. Temporal Domain Generalization via Learning Instance-level Evolving Patterns
    IJCAI 2024 ·

    Yujie Jin

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