Jiancang Xie

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it

Whom Jiancang Xie trusts

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

1. Salim Lahmiri (in Economics and Econometrics)
2. Jerome H. Friedman (in Artificial Intelligence)

Papers from Jiancang Xie's perspective

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

1. Greedy function approximation: A gradient boosting machine.
2. Time series analysis, forecasting and control
3. Scikit-learn: Machine Learning in Python
4. Long memory in international financial markets trends and short movements during 2008 financial crisis based on variational mode decomposition and detrended fluctuation analysis
5. Learning representations by back-propagating errors
6. Regression Shrinkage and Selection via the Lasso
7. The Nature of Statistical Learning Theory
8. ImageNet classification with deep convolutional neural networks
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Gradient-based learning applied to document recognition

Their papers

• Hybrid forecasting model for non-stationary daily runoff series: A case study in the Han River Basin, China (2019) — 131 citations
• A Hybrid Model Based on Variational Mode Decomposition and Gradient Boosting Regression Tree for Monthly Runoff Forecasting (2020) — 81 citations