Jinghang Gu

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Molecular Biology — 12 citations into it
• Natural Language Processing — 7 citations into it

Whom Jinghang Gu trusts overall

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

1. Robert Leaman
2. Christopher D. Manning
3. Thien Huu Nguyen
4. John C. Duchi
5. Jeffrey Pennington
6. Yifan Peng
7. Ronan Collobert
8. Chih-Hsuan Wei
9. Richard Socher
10. Zhiyong Lu

Papers from Jinghang Gu's perspective

Ordered by how strongly the researchers Jinghang Gu 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. ImageNet classification with deep convolutional neural networks
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. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

Their papers

• Chemical-induced disease relation extraction via convolutional neural network (2017) — 97 citations