Wang Geng

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Natural Language Processing — 14 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Wang Geng trusts overall

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

1. Alex Graves
2. Dzmitry Bahdanau
3. Yoshua Bengio
4. Sepp Hochreiter
5. J. Urgen Schmidhuber
6. Geoffrey E. Hinton
7. Ilya Sutskever
8. Kyunghyun Cho
9. Javier Gonzalez-Dominguez
10. Tomas Mikolov

Who trusts Wang Geng overall

1. Weicheng Cai
2. Peng Shen
3. Jinkun Chen

Papers from Wang Geng's perspective

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

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

Their papers

• End-to-End Language Identification Using Attention-Based Recurrent Neural Networks (2016) — 68 citations