Changwu Huang

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Computational Theory and Mathematics — 17 citations into it
• Industrial and Manufacturing Engineering — 5 citations into it

Whom Changwu Huang trusts overall

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

1. Holger H. Hoos
2. Mauro Birattari
3. Nikolaus Hansen
4. Agoston E. Eiben
5. Thomas Stützle
6. Manuel López-Ibáñez
7. Oded Maron
8. Thomas Bartz-Beielstein
9. David John Cameron MacKay
10. Frank Hutter

Papers from Changwu Huang's perspective

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

1. Sequential parameter optimization
2. ImageNet classification with deep convolutional neural networks
3. Efficient Global Optimization of Expensive Black-Box Functions
4. Random Forests
5. Gradient-based learning applied to document recognition
6. A Gender-Based Genetic Algorithm for the Automatic Configuration of Algorithms (International Conference on Principles and Practice of Constraint Programming)
7. Learning Multiple Layers of Features from Tiny Images
8. Tuning Metaheuristics - A Machine Learning Perspective (Studies in Computational Intelligence)
9. Buyer Power in International Markets (Social Science Research Network)
10. Design and analysis of computer experiments

Their papers

• A Survey of Automatic Parameter Tuning Methods for Metaheuristics (2020) — 333 citations