Bin Wang

Artificial Intelligence · with Guo · 2017

A researcher in the Science corpus: 1 paper; trusts 41 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 62 citations into it; #16,527 of 35,345 by trust here, #11,921 by citations
• Graph Learning — 18 citations into it
• Representation & Self-Supervised Learning — 18 citations into it; #1,744 of 3,145 by trust here, #1,561 by citations
• Natural Language Processing — 16 citations into it
• Information Systems — 11 citations into it

Whom Bin Wang trusts overall

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

1. Antoine Bordes
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Jason Aaron Edward Weston
5. Ilya Sutskever
6. Maximilian Nickel
7. Tomas Mikolov
8. Alex Krizhevsky
9. Diederik P. Kingma
10. Yann LeCun

Who trusts Bin Wang overall

1. Hongwei Wang
2. Bilal Abu-Salih
3. Fuzheng Zhang

Papers from Bin Wang's perspective

Ordered by how strongly the researchers Bin 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Knowledge Graph Embedding: A Survey of Approaches and Applications (2017) — 2,573 citations