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Mengying Zhu

13 papers at tracked venues · 11 at CORE A* · active 2024–2026

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Venues

AAAI ×7WWW ×2EMNLP ×1ICDE ×1IJCAI ×1SIGKDD ×1

Frequent coauthors

Guanjie Cheng
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Jiajun Chen
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Yangyang Wu
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Lifan Jiang
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Shuo Shi
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Yidan Sun
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Kaixin Xu
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Mengpu Liu
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Mengyuan Yang
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Papers

  1. DAPrompt: Dual Alignment Prompt of Structure and Semantics for Few-shot Graph Learning
    AAAI 2026 ·
    Lifan Jiang
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  2. DP-GenG: Differentially Private Dataset Distillation Guided by DP-Generated Data
    AAAI 2026 ·
    Shuo Shi
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  3. DyC-STG: Dynamic Causal Spatio-Temporal Graph Network for Real-time Data Credibility Analysis in IoT
    AAAI 2026 ·
    Guanjie Cheng
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  4. E2PL: Effective and Efficient Prompt Learning for Incomplete Multi-view Multi-Label Class Incremental Learning
    WWW 2026 ·
    Jiajun Chen
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  5. FeedGuard: Online Critic-Guided Reinforcement Learning with Privacy-Preserving Feedback for Recommendation
    WWW 2026 · Mengying Zhu
  6. LSHFed: Robust and Communication-Efficient Federated Learning with Locally-Sensitive Hashing Gradient Mapping
    AAAI 2026 ·
    Guanjie Cheng
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  7. TermGPT: Multi-Level Contrastive Fine-Tuning for Terminology Adaptation in Legal and Financial Domains
    AAAI 2026 ·
    Yidan Sun
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  8. A Zero-Training Error Correction System with Large Language Models
    ICDE 2025 ·
    Yangyang Wu
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  9. Dual Structure-guided Contrastive Network for Incomplete Multi-view Partial Multi-label Classification
    SIGKDD 2025 ·
    Kaixin Xu
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  10. General Incomplete Time Series Analysis via Patch Dropping Without Imputation
    IJCAI 2025 ·
    Yangyang Wu
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  11. TriSPrompt: A Hierarchical Soft Prompt Model for Multimodal Rumor Detection with Incomplete Modalities
    EMNLP 2025 ·
    Jiajun Chen
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  12. ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction
    AAAI 2024 ·
    Mengpu Liu
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  13. Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward
    AAAI 2024 ·
    Mengyuan Yang
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