Ron Zhu

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 122 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #18,801 of 35,345 by trust here, #34,213 by citations
• Computer Vision and Pattern Recognition — 11 citations into it; #11,821 of 21,575 by trust here, #21,103 by citations
• Multimodal Learning — 8 citations into it; #636 of 1,211 by trust here, #1,204 by citations

Whom Ron Zhu trusts overall

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

1. Jacob Devlin
2. Yen-Chun Chen
3. Zhe Gan
4. Geoffrey E. Hinton
5. Weijie Su
6. Diederik P. Kingma
7. Fei Yu
8. Yoshua Bengio
9. Kaiming He
10. Alex Krizhevsky

Who trusts Ron Zhu overall

1. Georgios Chochlakis
2. Tejas Srinivasan
3. Jesse Thomason
4. Shrikanth S. Narayanan

Papers from Ron Zhu's perspective

Ordered by how strongly the researchers Ron Zhu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Gradient-based learning applied to document recognition
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Enhance Multimodal Transformer With External Label And In-Domain Pretrain: Hateful Meme Challenge Winning Solution (2020) — 97 citations