Chen Li

with Song · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Chen Li trusts overall

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

1. Gisle Bjøntegaard
2. Kaiming He
3. Jiwon Kim
4. Yuanying Dai
5. X. Zhang
6. Shaoqing Ren
7. Jung Kwon Lee
8. Dong Liu

Papers from Chen Li's perspective

Ordered by how strongly the researchers Chen Li 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Going deeper with convolutions
6. ImageNet: A large-scale hierarchical image database
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• CNN based post-processing to improve HEVC (2017) — 37 citations