Yu-Ping Ruan

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Natural Language Processing — 13 citations into it

Whom Yu-Ping Ruan trusts overall

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

1. Diederik P. Kingma
2. Sepp Hochreiter
3. Tomas Mikolov
4. Yoshua Bengio
5. Geoffrey E. Hinton
6. Ilya Sutskever
7. Jimmy Ba
8. J. Urgen Schmidhuber
9. Jian-xiong Dong

Papers from Yu-Ping Ruan's perspective

Ordered by how strongly the researchers Yu-Ping Ruan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Rectified Linear Units Improve Restricted Boltzmann Machines
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Building Sequential Inference Models for End-to-End Response Selection (2018) — 6 citations