Shun Zheng

Optimization & Training · with Wang · 2016

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 22 citations into it
• Artificial Intelligence — 20 citations into it
• Computational Mechanics — 17 citations into it

Whom Shun Zheng trusts overall

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

1. Yurii E. Nesterov
2. Martin Takác
3. Yuchen Zhang
4. Tong Zhang
5. Shai Shalev-Shwartz
6. Tianbao Yang
7. Muthu Dayalan
8. Dhruv Kumar Mahajan
9. Jerome H. Friedman
10. Peter Richtárik

Who trusts Shun Zheng overall

1. Ching-pei Lee
2. Shusen Wang
3. Kai-Wei Chang
4. Farbod Roosta-Khorasani

Papers from Shun Zheng's perspective

Ordered by how strongly the researchers Shun Zheng 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization (2016) — 22 citations