Qing Zhang

Artificial Intelligence · with Garcez · 2020

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 — 16 citations into it
• Natural Language Processing — 12 citations into it
• Model Architectures — 10 citations into it

Whom Qing Zhang trusts overall

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

1. Geoffrey E. Hinton
2. Ilya Sutskever
3. Alex Graves
4. Yoshua Bengio
5. Diederik P. Kingma
6. J. Urgen Schmidhuber
7. Sepp Hochreiter
8. Andrew McCallum
9. Jerome H. Friedman
10. Michael Collins

Papers from Qing Zhang's perspective

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

1. Long Short-Term Memory
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Sequence Classification Restricted Boltzmann Machines With Gated Units (2020) — 8 citations