Qingzhong Wang

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 404 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Artificial Intelligence — 25 citations into it
• Natural Language Processing — 18 citations into it
• Multimodal Learning — 11 citations into it
• Model Architectures — 7 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Qingzhong Wang trusts overall

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

1. Diederik P. Kingma
2. Ilya Sutskever
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Yoshua Bengio
6. Richard Socher
7. Oriol Vinyals
8. Alex Krizhevsky
9. Yann LeCun
10. Kaiming He

Papers from Qingzhong Wang's perspective

Ordered by how strongly the researchers Qingzhong 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. 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. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• CNN+CNN: Convolutional Decoders for Image Captioning (2018) — 95 citations