Ran Gong

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it; #32,290 of 35,345 by trust here, #13,760 by citations
• Computer Vision and Pattern Recognition — 29 citations into it; #19,829 of 21,575 by trust here, #9,435 by citations
• Reinforcement Learning — 23 citations into it

Whom Ran Gong trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Kaiming He
4. Yoshua Bengio
5. Andrew Y. Ng
6. Diederik P. Kingma
7. Ilya Sutskever
8. Yann LeCun
9. Ross B. Girshick
10. Volodymyr Mnih

Who trusts Ran Gong overall

1. Pan Lu
2. Tushar Nagarajan
3. Jiafei Duan

Papers from Ran Gong's perspective

Ordered by how strongly the researchers Ran 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning (2019) — 67 citations
• Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning (2021) — 520 citations