Lifeng Jin

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 48 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Natural Language Processing — 6 citations into it

Whom Lifeng Jin trusts overall

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

1. Yoon Kim
2. Kaiming He
3. Alec Radford
4. Andrew Rosenberg
5. Tsung-Yi Lin
6. Geoffrey E. Hinton
7. X. Zhang
8. Yoshua Bengio
9. Alex Krizhevsky
10. Diederik P. Kingma

Papers from Lifeng Jin's perspective

Ordered by how strongly the researchers Lifeng Jin 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Grounded PCFG Induction with Images (2020) — 17 citations