Meng Sun

Artificial Intelligence · with He · 2018

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

• Artificial Intelligence — 18 citations into it
• Optimization & Training — 5 citations into it
• Statistics and Probability — 5 citations into it

Whom Meng Sun trusts overall

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

1. Tong Zhang
2. John N. Tsitsiklis
3. Paul Tseng
4. Arthur U. Asuncion
5. Yoav Freund
6. Michael I. Jordan
7. John C. Duchi
8. Peter L. Bartlett
9. Luigi Grippo
10. Cynthia Dwork

Papers from Meng Sun's perspective

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

Their papers

• Toward Information Privacy for the Internet of Things: A Nonparametric Learning Approach (2018) — 28 citations