Junning Liu

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Model Architectures — 5 citations into it

Whom Junning Liu trusts overall

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

1. Barret Zoph
2. Geoffrey E. Hinton
3. Quoc V. Le
4. Yi Tay
5. Clemens Rosenbaum
6. Alex Krizhevsky
7. Yoav Shoham
8. Yoshua Bengio
9. Ishan Misra
10. Sebastian Ruder

Papers from Junning Liu's perspective

Ordered by how strongly the researchers Junning Liu 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations (2020) — 780 citations