Xin He

Artificial Intelligence · with Sun · 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 Xin He 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. Cynthia Dwork
10. Luigi Grippo

Papers from Xin He's perspective

Ordered by how strongly the researchers Xin He 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. A decision-theoretic generalization of on-line learning and an application to boosting
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
8. ImageNet: A large-scale hierarchical image database
9. Convexity, Classification, and Risk Bounds
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

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