Jianxiang Yu
Scholar

Jianxiang Yu

Google Scholar ID: EH6ntM0AAAAJ
East China Normal University
Data miningLarge language models
Citations & Impact
All-time
Citations
177
 
H-index
7
 
i10-index
6
 
Publications
17
 
Co-authors
13
list available
Resume (English only)
Academic Achievements
  • AAAI 2025: "Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs" (First author)
  • EMNLP 2024: "Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis" (Co-first author)
  • TKDE 2024: "Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Adaptively Weighted Negative Samples" (First author)
  • FCS 2025: "Boosting Cross-Domain and Cross-Task Generalization for Text-Attributed Graphs from Structural Perspective"
  • FCS 2025: "A Survey on Learning from Graphs with Heterophily: Recent Advances and Future Directions"
  • WWW 2025: "Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection"
  • KDD 2025: "Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes"
  • KDD 2025: "RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning"
  • ECML PKDD 2024: "Self-Pro: Self-Prompt and Tuning Framework for Graph Neural Networks"
  • SDM 2023: "Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Weighted Negative Samples" (First author)
  • ICKG 2023: "Context-Aware Session-Based Recommendation with Graph Neural Networks"
  • Preprint: "Relation-Aware Graph Foundation Model"
  • Preprint: "SEAGraph: Unveiling the Whole Story of Paper Review Comments" (Co-first author)
  • Other preprints include: "Breaking the Cloak! Unveiling Chinese Cloaked Toxicity with Homophone Graph and Toxic Lexicon", "Can Large Language Models Act as Ensembler for Multi-GNNs?", "Improving Graph Out-of-distribution Generalization"