Ke Wang

Artificial Intelligence · with Wan · 2018

A researcher in the Science corpus: 1 paper; trusts 43 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it; #18,942 of 35,345 by trust here, #23,077 by citations
• Computer Vision and Pattern Recognition — 12 citations into it
• Generative Models — 10 citations into it
• Natural Language Processing — 9 citations into it

Whom Ke Wang trusts overall

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

1. Yann LeCun
2. Diederik P. Kingma
3. Andreas Stolcke
4. Sepp Hochreiter
5. Mark J van Rossum
6. Geoffrey E. Hinton
7. Yoshua Bengio
8. Tomas Mikolov
9. J. Urgen Schmidhuber
10. Alex Krizhevsky

Who trusts Ke Wang overall

1. Helena Bonaldi
2. Jie Gui
3. Hanqing Zhang
4. Miaoyun Zhao
5. Yulai Cong
6. Hannah Rashkin
7. Sara Dellantonio
8. Serra Sinem Tekiroğlu
9. Zhenan Sun
10. Haolin Song

Papers from Ke Wang's perspective

Ordered by how strongly the researchers Ke Wang 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. ImageNet classification with deep convolutional neural networks
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. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• SentiGAN: Generating Sentimental Texts via Mixture Adversarial Networks (2018) — 198 citations