Zhonghai Wu

Venues

Frequent coauthors

Papers

1. A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions
   ACL 2026 ·

   Zhiyin Yu

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2. Easy Samples Are All You Need: Self-Evolving LLMs via Data-Efficient Reinforcement Learning
   ACL 2026 ·

   Zhiyin Yu

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3. FedSRD: Sparsify-Reconstruct-Decompose for Communication-Efficient Federated Large Language Models Fine-Tuning
   WWW 2026 ·

   Guochen Yan

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4. Hypergraph Diffusion-Based Sequential Ensemble for CTR Prediction
   SIGIR 2026 ·

   Zeheng Zhong

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5. Knowledge-Enhanced Explainable Hypergraph Convolution Network for Medication Recommendation
   AAAI 2026 ·

   Zihan Zhang

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6. Med-R2: Crafting Trustworthy LLM Physicians via Retrieval and Reasoning of Evidence-Based Medicine
   WWW 2026 ·

   Keer Lu

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7. FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis
   AAAI 2025 ·

   Guochen Yan

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8. LPDetective: Dusting the LLM Chats for Prompt Template Abusers
   IJCAI 2025 ·

   Yang Luo

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9. MA-RAG: Automating Role Engineering for RESTful APIs with Multi-Head Attention and Retrieval-Augmented Generation
   IJCAI 2025 ·

   Yang Luo

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10. dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis
    CVPR 2025 ·

    Luyuan Xie

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11. Exploiting Multifaceted Nature of Items and Users for Session-based Recommendation
    SDM 2024 ·

    Tianqi Sun

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12. MH-pFLGB: Model Heterogeneous Personalized Federated Learning via Global Bypass for Medical Image Analysis
    MICCAI 2024 ·

    Luyuan Xie

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13. MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis
    ICML 2024 ·

    Luyuan Xie

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14. Multivariate Log-based Anomaly Detection for Distributed Database
    SIGKDD 2024 ·

    Lingzhe Zhang

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15. pFLFE: Cross-silo Personalized Federated Learning via Feature Enhancement on Medical Image Segmentation
    MICCAI 2024 ·

    Luyuan Xie

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