Ye Li

with Chen · 2017

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

Whom Ye Li trusts overall

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

1. Gerald Schaefer
2. Alex Krizhevsky
3. Gary J. Sullivan
4. Duc-Tien Dang-Nguyen
5. Ilya Sutskever
6. Geoffrey E. Hinton
7. Jens-Rainer Ohm
8. Cecilia Pasquini

Papers from Ye Li's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Overview of the High Efficiency Video Coding (HEVC) Standard
3. RAISE: a raw images dataset for digital image forensics
4. UCID: an uncompressed color image database (IS&T/SPIE Electronic Imaging)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. ImageNet Large Scale Visual Recognition Challenge
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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

• A convolutional neural network-based approach to rate control in HEVC intra coding (2017) — 51 citations