Guoyan Zhao

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it

Whom Guoyan Zhao trusts overall

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

1. Yoonsuh Jung
2. Tianqi Chen

Who trusts Guoyan Zhao overall

1. Ibomoiye Domor Mienye

Papers from Guoyan Zhao's perspective

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

1. XGBoost: A Scalable Tree Boosting System
2. LightGBM: A Highly Efficient Gradient Boosting Decision Tree
3. Multiple predicting K-fold cross-validation for model selection
4. Greedy function approximation: A gradient boosting machine.
5. Stochastic gradient boosting
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Parallel boosted regression trees for web search ranking
8. Robust LogitBoost and Adaptive Base Class (ABC) LogitBoost
9. Regression Shrinkage and Selection via the Lasso
10. Gradient-based learning applied to document recognition

Their papers

• Predicting Hard Rock Pillar Stability Using GBDT, XGBoost, and LightGBM Algorithms (2020) — 455 citations