Houbing Song

Artificial Intelligence · with Ahmad · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 59 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 67 citations into it
• Computer Vision and Pattern Recognition — 35 citations into it
• Representation & Self-Supervised Learning — 20 citations into it

Whom Houbing Song trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Sinno Jialin Pan
4. Mingsheng Long
5. Ilya Sutskever
6. Kaiming He
7. Yoshua Bengio
8. Qiang Yang
9. Wenyuan Dai
10. Yann LeCun

Papers from Houbing Song's perspective

Ordered by how strongly the researchers Houbing Song 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A Survey on Blockchain Technology: Evolution, Architecture and Security (2021) — 375 citations
• A Decade Survey of Transfer Learning (2010–2020) (2020) — 551 citations