Yu Zhang

Artificial Intelligence · with Huang · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Natural Language Processing — 6 citations into it

Whom Yu Zhang trusts overall

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

1. Yoon Kim
2. Sepp Hochreiter

Papers from Yu Zhang's perspective

Ordered by how strongly the researchers Yu Zhang 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. Gradient-based learning applied to document recognition
5. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. GloVe: Global Vectors for Word Representation
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Federated Hierarchical Hybrid Networks for Clickbait Detection (2019) — 5 citations