Yijie Pan

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 90 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 65 citations into it
• Molecular Biology — 57 citations into it
• Computer Vision and Pattern Recognition — 41 citations into it
• Model Architectures — 18 citations into it
• Computational Biology & Bioinformatics — 13 citations into it
• Optimization & Training — 11 citations into it
• Representation & Self-Supervised Learning — 11 citations into it
• Generative Models — 9 citations into it

Whom Yijie Pan trusts overall

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

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

Papers from Yijie Pan's perspective

Ordered by how strongly the researchers Yijie Pan trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep learning in bioinformatics: introduction, application, and perspective in big data era (2019) — 335 citations