Junran Wu

Venues

Frequent coauthors

Papers

1. Graph Out-of-Distribution Detection via Test-Time Calibration with Dual Dynamic Dictionaries
   AAAI 2026 ·

   Yue Hou

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2. Can LLMs Correct Themselves? A Benchmark of Self-Correction in LLMs
   NeurIPS 2025 ·

   Guiyao Tie

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3. Redundancy-Aware Test-Time Graph Out-of-Distribution Detection
   NeurIPS 2025 ·

   Yue Hou

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4. Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection
   AAAI 2025 ·

   Yue Hou

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5. Test-time Graph OOD Detection via Dynamic Dictionary Expansion and OOD Score Calibration
   ACM MM 2025 ·

   Yue Hou

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6. Toward Robust Signed Graph Learning through Joint Input-Target Denoising
   ACM MM 2025 · Junran Wu
7. Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection
   ACM MM 2024 ·

   Jiaqi Zhu

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8. HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text Classification
   NAACL 2024 ·

   He Zhu

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9. NC2D: Novel Class Discovery for Node Classification
   CIKM 2024 ·

   Yue Hou

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10. Uncovering Capabilities of Model Pruning in Graph Contrastive Learning
    ACM MM 2024 · Junran Wu
11. VRDistill: Vote Refinement Distillation for Efficient Indoor 3D Object Detection
    ACM MM 2024 ·

    Ze Yuan

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