Hongyang Chen

Venues

Frequent coauthors

Papers

1. ParaSuite: Boosting LLM Reasoning via Paradox Resolution
   ACL 2026 ·

   Bin Chen

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2. SCOPE: Boosting LLM Efficiency with Scoped Position Encoding
   ACL 2026 ·

   Qingguo Qi

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3. Unsupervised Contrastive Learning for Efficient and Robust Spectral Shape Matching
   AAAI 2026 ·

   Feifan Luo

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4. CVLUE: A New Benchmark Dataset for Chinese Vision-Language Understanding Evaluation
   AAAI 2025 ·

   Yuxuan Wang

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5. CommunityDF: A Guided Denoising Diffusion Approach for Community Search
   ICDE 2025 ·

   Jiazun Chen

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6. Contextual Representation Anchor Network for Mitigating Selection Bias in Few-Shot Drug Discovery
   CIKM 2025 ·

   Ruifeng Li

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7. GNN-SKAN: Advancing Molecular Representation Learning with SwallowKAN
   SIGKDD 2025 ·

   Ruifeng Li

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8. Input Snapshots Fusion for Scalable Discrete-Time Dynamic Graph Neural Networks
   SIGKDD 2025 ·

   QingGuo Qi

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9. Knowledge-Decoupled Synergetic Learning: An MLLM based Collaborative Approach to Few-shot Multimodal Dialogue Intention Recognition
   WWW 2025 ·

   Bin Chen

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10. Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning
    AAAI 2025 ·

    Hui Fang

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11. Long-form Hallucination Detection with Self-elicitation
    ACL 2025 ·

    Zihang Liu

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12. SEP-MLDC: A Simple and Effective Paradigm for Multi-Label Document Classification
    NAACL 2025 ·

    Han Liu

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13. TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection
    SIGKDD 2025 ·

    Mengxuan Li

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14. Third-Person Appraisal Agent: Simulating Human Emotional Reasoning in Text with Large Language Models
    EMNLP 2025 ·

    Simin Hong

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15. UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery
    ICLR 2025 ·

    Ruifeng Li

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16. A Watermark-Conditioned Diffusion Model for IP Protection
    ECCV 2024 ·

    Rui Min

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17. Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation
    WWW 2024 ·

    Zhen Zhang

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18. CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting
    WSDM 2024 ·

    Zhengyang Zhou

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19. Depression Detection via Capsule Networks with Contrastive Learning
    AAAI 2024 ·

    Han Liu

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20. Efficient and Provable Effective Resistance Computation on Large Graphs: An Index-based Approach
    SIGMOD 2024 ·

    Meihao Liao

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21. Exploring Robustness of GNN against Universal Injection Attack from a Worst-case Perspective
    CIKM 2024 ·

    Dandan Ni

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22. Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation
    AAAI 2024 ·

    Can Xu

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23. Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing
    AAAI 2024 ·

    Han Liu

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24. MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract)
    IJCAI 2024 ·

    Yuchen Li

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25. Querying Cohesive Subgraph Regarding Span-Constrained Triangles on Temporal Graphs
    ICDE 2024 ·

    Chuhan Hu

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26. Unsupervised Heterogeneous Graph Rewriting Attack via Node Clustering
    SIGKDD 2024 ·

    Haosen Wang

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