Yingjie Miao

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 53 citations into it
• Model Architectures — 9 citations into it
• Optimization & Training — 6 citations into it

Whom Yingjie Miao trusts overall

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

1. Barret Zoph
2. Yoshua Bengio
3. J. Urgen Schmidhuber
4. Geoffrey E. Hinton
5. Quoc V. Le
6. Alex Krizhevsky
7. Diederik P. Kingma
8. Richard S. Sutton
9. Ilya Sutskever
10. Alex Graves

Papers from Yingjie Miao's perspective

Ordered by how strongly the researchers Yingjie 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. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Understanding HTML with Large Language Models (2022) — 95 citations
• Evolving Reinforcement Learning Algorithms (2021) — 84 citations