Heng-Lu Chang

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 104 citations into it
• Natural Language Processing — 65 citations into it
• Computer Vision and Pattern Recognition — 40 citations into it
• Information Systems — 31 citations into it

Whom Heng-Lu Chang trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Tomas Mikolov
4. Ilya Sutskever
5. Yann LeCun
6. Alex Krizhevsky
7. Diederik P. Kingma
8. Alex Graves
9. Ruslan Salakhutdinov
10. Jason Aaron Edward Weston

Papers from Heng-Lu Chang's perspective

Ordered by how strongly the researchers Heng-Lu Chang trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Neural information retrieval: at the end of the early years (2017) — 138 citations