Meng Wang

Computer Vision and Pattern Recognition · 1 papers · 2019

A researcher in the Science corpus: 1 paper; trusts 89 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it; #17,055 of 21,575 by trust here, #20,756 by citations
• Artificial Intelligence — 13 citations into it
• Multimodal Learning — 11 citations into it
• Natural Language Processing — 9 citations into it

Whom Meng Wang trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Karen Simonyan
4. Sepp Hochreiter
5. Alex Krizhevsky
6. Mark J van Rossum
7. Jimmy Ba
8. Yoshua Bengio
9. Ilya Sutskever
10. Andrew Zisserman

Who trusts Meng Wang overall

1. Xiuyi Chen
2. Can Xu
3. Daxin Jiang

Papers from Meng Wang's perspective

Ordered by how strongly the researchers Meng 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Dual Visual Attention Network for Visual Dialog (2019) — 36 citations