Jingyuan Zhang

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Natural Language Processing — 13 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Graph Learning — 7 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Jingyuan Zhang trusts overall

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

1. Antoine Bordes
2. Jason Aaron Edward Weston
3. Yoshua Bengio
4. Richard Socher
5. Zhen Wang
6. Tomas Mikolov
7. Ilya Sutskever
8. Geoffrey E. Hinton
9. Dzmitry Bahdanau
10. Yankai Lin

Papers from Jingyuan Zhang's perspective

Ordered by how strongly the researchers Jingyuan Zhang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
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. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Knowledge Graph Embedding Based Question Answering (2019) — 637 citations