Qi Zhang

Artificial Intelligence · with Zhang · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 53 citations into it
• Computer Vision and Pattern Recognition — 43 citations into it
• Optimization & Training — 11 citations into it

Whom Qi Zhang trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. James Martens
4. Diederik P. Kingma
5. Yoshua Bengio
6. Alex Krizhevsky
7. Yann LeCun

Papers from Qi Zhang's perspective

Ordered by how strongly the researchers Qi 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet classification with deep convolutional neural networks
5. Distilling the Knowledge in a Neural Network (arXiv.org)
6. Long Short-Term Memory
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

• BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction (2021) — 675 citations
• Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models (2022) — 229 citations