Yong Luo

Artificial Intelligence · with Liu · 2014–2017

A researcher in the Science corpus: 2 papers; trusts 46 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Representation & Self-Supervised Learning — 20 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Computational Mechanics — 7 citations into it

Whom Yong Luo trusts overall

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

1. David G. Lowe
2. Yurii E. Nesterov
3. Jerome H. Friedman
4. Brian Kulis
5. Geoffrey E. Hinton
6. Sam T. Roweis
7. Vladimir Naumovich Vapnik
8. Mark J van Rossum
9. Kilian Q. Weinberger
10. Alex Krizhevsky

Who trusts Yong Luo overall

1. Yunhe Wang
2. Tongliang Liu

Papers from Yong Luo's perspective

Ordered by how strongly the researchers Yong Luo 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• General Heterogeneous Transfer Distance Metric Learning via Knowledge Fragments Transfer (2017) — 12 citations
• Decomposition-Based Transfer Distance Metric Learning for Image Classification (2014) — 118 citations