Miao Zhang

Artificial Intelligence · with Cheng · 2023

A researcher in the Science corpus: 1 paper; trusts 216 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 126 citations into it
• Computer Vision and Pattern Recognition — 110 citations into it
• Efficiency & Compression — 59 citations into it
• Model Architectures — 20 citations into it
• Optimization & Training — 13 citations into it
• Scaling & Learning Theory — 5 citations into it

Whom Miao Zhang trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yann LeCun
5. Yoshua Bengio
6. Sergey Ioffe
7. Diederik P. Kingma
8. Ilya Sutskever
9. Christian Szegedy
10. Ross B. Girshick

Papers from Miao Zhang's perspective

Ordered by how strongly the researchers Miao 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations (2023) — 518 citations