Weizhong Zhang

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Computer Vision and Pattern Recognition — 31 citations into it
• Efficiency & Compression — 27 citations into it
• Optimization & Training — 19 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Weizhong Zhang trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Diederik P. Kingma
4. Yann LeCun
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. X. Zhang
8. Shaoqing Ren
9. Ilya Sutskever
10. Karen Simonyan

Papers from Weizhong Zhang's perspective

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

Their papers

• Effective Sparsification of Neural Networks with Global Sparsity Constraint (2021) — 80 citations
• A Sufficient Condition for Convergences of Adam and RMSProp (2018) — 462 citations