Yonglong Cheng

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it
• Computer Vision and Pattern Recognition — 43 citations into it

Whom Yonglong Cheng trusts overall

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

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

Who trusts Yonglong Cheng overall

1. Ankur Bapna
2. Samyam Rajbhandari
3. Mingxing Tan
4. Orhan Firat
5. Hieu Pham
6. Quoc V. Le
7. D. Narayanan
8. Zeyuan Allen-Zhu
9. Xiaohua Zhai
10. Zhuohan Li

Papers from Yonglong Cheng's perspective

Ordered by how strongly the researchers Yonglong Cheng 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. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Going deeper with convolutions
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism (2018) — 2,195 citations