Kang Yan

2019

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

Whom Kang Yan trusts overall

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

1. Peter Richtárik
2. Saeed Ghadimi
3. Yaochen Hu

Papers from Kang Yan's perspective

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

1. Large Scale Distributed Deep Networks
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Privacy-preserving deep learning
7. Stochastic First- and Zeroth-Order Methods for Nonconvex Stochastic Programming
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Distributed Coordinate Descent Method for Learning with Big Data

Their papers

• A Communication Efficient Collaborative Learning Framework for Distributed Features (2019) — 62 citations