Ruichu Cai

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Natural Language Processing — 19 citations into it

Whom Ruichu Cai trusts overall

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

1. Yoon Kim
2. Tomas Mikolov
3. Ilya Sutskever
4. Nal Kalchbrenner
5. Yoshua Bengio
6. Xiaodong Zhang
7. Geoffrey E. Hinton
8. Jenny Rose Finkel
9. Dominik Scherer
10. Sepp Hochreiter

Papers from Ruichu Cai's perspective

Ordered by how strongly the researchers Ruichu Cai 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. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers

• Embedding Logic Rules Into Recurrent Neural Networks (2019) — 20 citations
• An CNN-LSTM Attention Approach to Understanding User Query Intent from Online Health Communities (2017) — 44 citations