Lingfeng Wu

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 — 27 citations into it
• Model Architectures — 13 citations into it
• Signal Processing — 13 citations into it
• Natural Language Processing — 10 citations into it

Whom Lingfeng Wu trusts overall

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

1. Tomas Mikolov
2. Alex Graves
3. Frank Torsten Bernd Seide
4. Dong Yu
5. J. Urgen Schmidhuber
6. Geoffrey E. Hinton
7. Ronald J. Williams
8. Hasim Sak
9. Fernando J. Pineda
10. Sepp Hochreiter

Papers from Lingfeng Wu's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Gradient-based learning applied to document recognition
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• The Microsoft 2017 Conversational Speech Recognition System (2017) — 490 citations