Shicong Cen

Optimization & Training · 2018

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 36 citations into it
• Computational Mechanics — 35 citations into it
• Artificial Intelligence — 33 citations into it
• Management Science and Operations Research — 11 citations into it

Whom Shicong Cen trusts overall

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

1. Shai Shalev-Shwartz
2. Tong Zhang
3. Zeyuan Allen-Zhu
4. Yurii E. Nesterov
5. Saeed Ghadimi
6. Richard H. Byrd
7. Francis R. Bach
8. Farbod Roosta-Khorasani
9. Geoffrey E. Hinton
10. Elad Hazan

Papers from Shicong Cen's perspective

Ordered by how strongly the researchers Shicong Cen 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. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. A Stochastic Approximation Method
9. Attention is All you Need (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization (2018) — 38 citations