Jinfeng Zhang

Artificial Intelligence · with Wang · 2010–2019

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it; #24,800 of 35,345 by trust here, #26,682 by citations
• Natural Language Processing — 21 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it; #15,294 of 21,575 by trust here, #17,258 by citations

Whom Jinfeng Zhang trusts overall

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

1. Ilya Sutskever
2. Geoffrey E. Hinton

Who trusts Jinfeng Zhang overall

1. Michael Hahn
2. Felix Stahlberg
3. Derya Soydaner

Papers from Jinfeng Zhang's perspective

Ordered by how strongly the researchers Jinfeng 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. Attention is All you Need (Neural Information Processing Systems)
3. Long Short-Term Memory
4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
6. Layer Normalization
7. ImageNet classification with deep convolutional neural networks
8. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Gradient-based learning applied to document recognition

Their papers

• Modeling Recurrence for Transformer (2019) — 87 citations
• Evolutionarily conserved replication timing profiles predict long-range chromatin interactions and distinguish closely related cell types. (2010) — 603 citations