Yanlong Huang

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Control and Systems Engineering — 9 citations into it
• Reinforcement Learning — 9 citations into it

Whom Yanlong Huang trusts overall

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

1. Jan Peters
2. Marc Peter Deisenroth
3. Sylvain Calinon
4. Carl E. Rasmussen
5. Thomas Hofmann
6. Stefan Schaal
7. Auke Jan Ijspeert
8. Bernhard Schölkopf
9. Florent Guenter
10. Radford M. Neal

Papers from Yanlong Huang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Learning Multiple Layers of Features from Tiny Images
7. Reinforcement Learning: An Introduction
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Kernelized movement primitives (2017) — 270 citations