Qiuhua Miao

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Model Architectures — 14 citations into it
• Control and Systems Engineering — 10 citations into it
• Mechanical Engineering — 9 citations into it
• Optimization & Training — 5 citations into it

Whom Qiuhua Miao trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Jimmy Ba
4. Kaiming He
5. Yoshua Bengio
6. Sepp Hochreiter
7. Alex Krizhevsky
8. Christian Szegedy
9. David E. Rumelhart
10. J. Urgen Schmidhuber

Papers from Qiuhua Miao's perspective

Ordered by how strongly the researchers Qiuhua Miao 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. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A novel time–frequency Transformer based on self–attention mechanism and its application in fault diagnosis of rolling bearings (2021) — 447 citations