Mengqiu Wang

Artificial Intelligence · with Manning · 2013

A researcher in the Science corpus: 2 papers; trusts 33 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Natural Language Processing — 14 citations into it; #3,260 of 5,688 by trust here, #5,092 by citations
• Optimization & Training — 7 citations into it
• Representation & Self-Supervised Learning — 6 citations into it
• Model Architectures — 5 citations into it; #1,357 of 2,278 by trust here, #2,111 by citations

Whom Mengqiu Wang trusts overall

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

1. Yoshua Bengio
2. Ronan Collobert
3. Thorsten Joachims
4. Geoffrey E. Hinton
5. Richard Socher
6. Percy Liang
7. Christopher D. Manning
8. Yann LeCun
9. Jenny Rose Finkel
10. Jason Aaron Edward Weston

Who trusts Mengqiu Wang overall

1. Jeffrey Pennington
2. Greg Durrett
3. Yoav Goldberg
4. Richard Socher
5. Stefan Wager
6. Shuangfei Zhai
7. Christopher D. Manning
8. Daniel Klein
9. Wenzhe Pei

Papers from Mengqiu Wang's perspective

Ordered by how strongly the researchers Mengqiu 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. 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

• Feature Noising for Log-Linear Structured Prediction (2013) — 30 citations
• Effect of Non-linear Deep Architecture in Sequence Labeling (2013) — 57 citations