Jin Wang

Artificial Intelligence · with Wang · 2017

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

Subfields

• Artificial Intelligence — 17 citations into it
• Natural Language Processing — 16 citations into it

Whom Jin Wang trusts overall

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

1. Yoon Kim
2. Geoffrey E. Hinton
3. Richard Socher
4. Yoshua Bengio
5. Yann LeCun
6. Ilya Sutskever
7. Alex Krizhevsky
8. Diederik P. Kingma
9. Christopher D. Manning
10. Tomas Mikolov

Who trusts Jin Wang overall

1. Hongwei Wang
2. Shervin Minaee
3. Fuzheng Zhang
4. Linmei Hu
5. Erik Cambria
6. Xing Xie
7. Qian Li

Papers from Jin Wang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Combining Knowledge with Deep Convolutional Neural Networks for Short Text Classification (2017) — 321 citations