Peng Wang

Artificial Intelligence · with Xu · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 51 citations into it
• Natural Language Processing — 40 citations into it
• Representation & Self-Supervised Learning — 21 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it

Whom Peng Wang trusts overall

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

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

Who trusts Peng Wang overall

1. Tongshuang Sherry Wu
2. Yoav Goldberg
3. Tom Young
4. Kanit Wongsuphasawat

Papers from Peng Wang's perspective

Ordered by how strongly the researchers Peng 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Semantic Clustering and Convolutional Neural Network for Short Text Categorization (2015) — 184 citations
• Self-Taught Convolutional Neural Networks for Short Text Clustering (2017) — 255 citations