Jing Cheng

Artificial Intelligence · with Zhao · 2020

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 51 citations into it
• Graph Learning — 24 citations into it
• Natural Language Processing — 13 citations into it

Whom Jing Cheng trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Richard Socher
5. Ni Lao
6. Alex Krizhevsky
7. Ilya Sutskever
8. Dzmitry Bahdanau
9. Yann LeCun
10. Antoine Bordes

Papers from Jing Cheng's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Efficient Estimation of Word Representations in Vector Space

Their papers

• Knowledge Graph Completion: A Review (2020) — 316 citations