Yu-Hu Yan

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it

Whom Yu-Hu Yan trusts overall

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

1. Christopher K. I. Williams
2. Martin A. Zinkevich
3. Jeffrey Scott Vitter
4. Nicolò Cesa-Bianchi
5. Xiaojin Zhu
6. Bo-Jian Hou

Papers from Yu-Hu Yan's perspective

Ordered by how strongly the researchers Yu-Hu Yan trusts endorse each paper. Same corpus, a different order for every researcher.

1. A Survey on Transfer Learning
2. ImageNet classification with deep convolutional neural networks
3. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Online Convex Programming and Generalized Infinitesimal Gradient Ascent
8. Prediction, learning, and games
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Storage Fit Learning with Feature Evolvable Streams (2020) — 29 citations