Jin Wang

Artificial Intelligence · with Lai · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it; #14,248 of 35,345 by trust here, #19,439 by citations
• Natural Language Processing — 19 citations into it
• Representation & Self-Supervised Learning — 9 citations into it

Whom Jin Wang trusts overall

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

1. Richard Socher
2. Yoshua Bengio
3. Tomas Mikolov
4. Charu C. Aggarwal
5. Yoon Kim
6. Alex Graves
7. Geoffrey E. Hinton
8. Amy Beth Warriner
9. Yann LeCun
10. Ilya Sutskever

Who trusts Jin Wang overall

1. Sven Buechel
2. Lei Zhang
3. Gang Liu
4. T. Kim
5. Shuai Wang
6. Wenhua Wang
7. Udo Hahn
8. Guangyi Lv
9. Jiabao Guo
10. Sung-Bae Cho

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. 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. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Refining Word Embeddings for Sentiment Analysis (2017) — 197 citations
• Dimensional Sentiment Analysis Using a Regional CNN-LSTM Model (2016) — 517 citations