Xiantao Xiao

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 Xiantao Xiao trusts overall

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

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

Papers from Xiantao Xiao's perspective

Ordered by how strongly the researchers Xiantao Xiao 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. Long Short-Term Memory
6. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
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