Bing Gong

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Computer Vision and Pattern Recognition — 25 citations into it
• Atmospheric Science — 22 citations into it
• Global and Planetary Change — 16 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Bing Gong trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Yann LeCun
4. Alex Krizhevsky
5. Kaiming He
6. Yoshua Bengio
7. J. Urgen Schmidhuber
8. Ilya Sutskever
9. Ruslan Salakhutdinov
10. Radford M. Neal

Papers from Bing Gong's perspective

Ordered by how strongly the researchers Bing Gong 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. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet Large Scale Visual Recognition Challenge
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. GENERATIVE ADVERSARIAL NETS
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Can deep learning beat numerical weather prediction? (2021) — 498 citations