Han Lin Shang

Artificial Intelligence · 2011

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it; #308 of 1,525 by trust here, #688 by citations
• Statistics and Probability — 5 citations into it

Whom Han Lin Shang trusts overall

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

1. Radford M. Neal
2. Yee Whye Teh
3. Michael I. Jordan
4. T. Griffiths
5. Carl E. Rasmussen
6. Zoubin Ghahramani
7. Erik B. Sudderth
8. Geoffrey E. Hinton
9. John K. Kruschke
10. Temple F. Smith

Who trusts Han Lin Shang overall

1. David M. Blei
2. Cosma Rohilla Shalizi
3. Daniele Durante
4. Miltiadis Allamanis
5. Andriy Norets
6. James A. Watson
7. Martin Hairer
8. Sonia Petrone
9. Matthew D. Hoffman
10. Judith Rousseau

Papers from Han Lin Shang's perspective

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

Their papers

• Bayesian Nonparametrics (2011)