Yun Cheng Wang

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it
• Natural Language Processing — 37 citations into it
• Representation & Self-Supervised Learning — 18 citations into it

Whom Yun Cheng Wang trusts overall

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

1. Tomas Mikolov
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Richard Socher
5. Philipp Koehn
6. Ilya Sutskever
7. Diederik P. Kingma
8. Alec Radford
9. Alex Krizhevsky
10. Yann LeCun

Papers from Yun Cheng Wang's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Evaluating word embedding models: methods and experimental results (2019) — 308 citations