Chengbin Hou
Scholar

Chengbin Hou

Google Scholar ID: gTjReaQAAAAJ
University of Birmingham
Large Language ModelsMachine LearningKnowledge Graphs
Citations & Impact
All-time
Citations
297
 
H-index
9
 
i10-index
8
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Academic achievements include publications in IEEE TKDE (on GloDyNE) and Neurocomputing (regarding the OpenANE framework), along with other unspecified contributions.
Research Experience
  • Involved in multiple projects including but not limited to LICAP (Label Informed Contrastive Pre-training for Node Importance Estimation on Knowledge Graphs), PartPrompt, and GloDyNE (Global Topology Preserving Dynamic Network Embedding).
Education
  • Educational background involves the University of Birmingham and SUSTech, but specific details such as degree, advisor, and dates are not provided.
Background
  • Research interests: Large Language Models, Graph Neural Networks, Machine Learning, and related AI techniques to real-world problems.
Miscellany
  • Location: Birmingham; Shenzhen.
Co-authors
0 total
Co-authors: 0 (list not available)