Guoqiang Zhong

Artificial Intelligence · 2014–2021

A researcher in the Science corpus: 4 papers; trusts 66 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Model Architectures — 22 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it; #13,328 of 21,575 by trust here, #17,757 by citations
• Optimization & Training — 12 citations into it
• Neural Architecture Search & AutoML — 7 citations into it
• Reinforcement Learning — 5 citations into it

Whom Guoqiang Zhong trusts overall

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

1. Yoshua Bengio
2. Kaiming He
3. Diederik P. Kingma
4. Ronald J. Williams
5. Geoffrey E. Hinton
6. Barret Zoph
7. Alex Krizhevsky
8. James Bergstra
9. Karen Simonyan
10. Christian Szegedy

Who trusts Guoqiang Zhong overall

1. Zhiyuan Shi
2. Chengcheng Jia
3. Yun Raymond Fu

Papers from Guoqiang Zhong's perspective

Ordered by how strongly the researchers Guoqiang Zhong 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. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A review on the attention mechanism of deep learning (2021) — 3,043 citations
• Automatic Design of Deep Networks with Neural Blocks (2019) — 25 citations
• Prediction of Sea Surface Temperature Using Long Short-Term Memory (2017) — 403 citations
• Low-Rank Tensor Learning with Discriminant Analysis for Action Classification and Image Recovery (2014) — 35 citations