lingping Kong
Scholar

lingping Kong

Google Scholar ID: 1qAvTE4AAAAJ
VSB-Technical university of Ostrava
graph neural networksmanifold learningmachine learning
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Citations & Impact
All-time
Citations
901
 
H-index
13
 
i10-index
17
 
Publications
20
 
Co-authors
0
 
Contact
GitHubOpen ↗
Resume
Research Experience
  • Conducting research on large-scale data classification based on the integration of fuzzy learning and graph neural networks
  • Pioneering metaheuristic manifold optimization with a novel directional transport operator to address convergence and local minima issues
  • Investigating low-rank and global-representation-key-based attention mechanisms for Graph Transformers
  • Implementing the pxgboost method that ensembles Euclidean and Poincaré space XGBoost models
  • Optimizing population-based algorithms for non-invasive fetal ECG (fECG) extraction
  • Developing multi-source fusion approaches for stock selection