Chuanqi Li

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chuanqi Li trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Jian Zhou

Papers from Chuanqi Li's perspective

Ordered by how strongly the researchers Chuanqi Li trusts endorse each paper. Same corpus, a different order for every researcher.

  1. XGBoost: A Scalable Tree Boosting System
  2. A Taxonomy of Global Optimization Methods Based on Response Surfaces
  3. Greedy function approximation: A gradient boosting machine.
  4. Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization (Arabian Journal of Geosciences)
  5. Slope stability prediction for circular mode failure using gradient boosting machine approach based on an updated database of case histories (Safety Science)
  6. A new optimizer using particle swarm theory
  7. Classification and Regression Trees
  8. Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition (IEEE Congress on Evolutionary Computation)
  9. Bagging Predictors
  10. Random Forests

Their papers