Chung-Wei Hang

Natural Language Processing · 2015

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 11 citations into it
• Artificial Intelligence — 10 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Model Architectures — 5 citations into it

Whom Chung-Wei Hang trusts overall

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

1. Jason Aaron Edward Weston
2. Ilya Sutskever
3. Alex Graves
4. Yoshua Bengio
5. Dzmitry Bahdanau
6. Nal Kalchbrenner
7. Geoffrey E. Hinton
8. Antoine Bordes
9. Philipp Koehn
10. Oriol Vinyals

Papers from Chung-Wei Hang's perspective

Ordered by how strongly the researchers Chung-Wei Hang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Empirical Study on Deep Learning Models for QA (2015) — 5 citations