Yingui Qiu
Artificial Intelligence · 2020–2021
A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 26 citations into it
- Ocean Engineering — 18 citations into it
- Computational Theory and Mathematics — 17 citations into it
- Mechanics of Materials — 16 citations into it
- Statistics and Probability — 7 citations into it
- Optimization & Training — 5 citations into it
Whom Yingui Qiu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jian Zhou
- Jerome H. Friedman
- Tianqi Chen
- Danial Jahed Armaghani
- Wengang Zhang
- Seyedali Mirjalili
- Carlos Guestrin
- Xibing Li
- Donald R. Jones
- Chongzhi Wu
Papers from Yingui Qiu's perspective
Ordered by how strongly the researchers Yingui Qiu trusts endorse each paper. Same corpus, a different order for every researcher.
- A Taxonomy of Global Optimization Methods Based on Response Surfaces
- Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization (Arabian Journal of Geosciences)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Regression Shrinkage and Selection via the Lasso
- Random Forests
- ImageNet classification with deep convolutional neural networks
- Bagging Predictors
- Learning Multiple Layers of Features from Tiny Images
- Gradient-based learning applied to document recognition
- The Nature of Statistical Learning Theory
Their papers
- Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate (2021) — 297 citations
- Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration (2021) — 447 citations
- Predicting TBM penetration rate in hard rock condition: A comparative study among six XGB-based metaheuristic techniques (2020) — 245 citations
- Estimation of the TBM advance rate under hard rock conditions using XGBoost and Bayesian optimization (2020) — 240 citations