Suizhi Luo

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 Suizhi Luo trusts overall

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

1. Yoonsuh Jung
2. Tianqi Chen

Who trusts Suizhi Luo overall

1. Ibomoiye Domor Mienye

Papers from Suizhi Luo's perspective

Ordered by how strongly the researchers Suizhi Luo 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Stochastic gradient boosting
8. ImageNet classification with deep convolutional neural networks
9. Regression Shrinkage and Selection via the Lasso
10. Learning Multiple Layers of Features from Tiny Images

Their papers

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