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Zhuo Chen

Zhejiang University, College of Computer Science and Technology, Hangzhou, China

21 papers at tracked venues · 20 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Multi-Modal Fact Knowledge Generation for Imbalanced Cross-Source Entity Alignment
  2. Structured and Abstractive Reasoning on Multi-modal Relational Knowledge Images
  3. UniHR: Hierarchical Representation Learning for Unified Knowledge Graph Link Prediction
  4. rMMEA: Robust Multi-Modal Entity Alignment with Missing and Noise Visual Modality
  5. Abstractive Visual Understanding of Multi-modal Structured Knowledge: A New Perspective for MLLM Evaluation
  6. Client-Server Co-design with Multi-modal Codebooks Makes Better and Faster Federate Knowledge Sharing
  7. Graph-guided Cross-composition Feature Disentanglement for Compositional Zero-shot Learning
  8. Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking
  9. K-ON: Stacking Knowledge on the Head Layer of Large Language Model
  10. Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning
  11. Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation
  12. CREST: Cross-modal Resonance through Evidential Deep Learning for Enhanced Zero-Shot Learning
  13. Domain-Agnostic Molecular Generation with Chemical Feedback
  14. Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering
  15. LLM-based Multi-Level Knowledge Generation for Few-shot Knowledge Graph Completion
  16. MKGL: Mastery of a Three-Word Language
  17. Making Large Language Models Perform Better in Knowledge Graph Completion
  18. Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
  19. NativE: Multi-modal Knowledge Graph Completion in the Wild
  20. Revisit and Outstrip Entity Alignment: A Perspective of Generative Models
  21. Structure-CLIP: Towards Scene Graph Knowledge to Enhance Multi-Modal Structured Representations