Wen Huang

with Hand · 2018

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

Whom Wen Huang trusts overall

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

1. Christian Clason
2. Romain Lopez
3. Diederik P. Kingma
4. Yuanzhi Li
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Yoshua Bengio
8. Pierre Boyeau
9. Michael I. Jordan
10. Sanjeev Arora

Who trusts Wen Huang overall

1. Aviad Aberdam
2. Qi Lei
3. Dror Simon
4. Ajil Jalal

Papers from Wen Huang's perspective

Ordered by how strongly the researchers Wen Huang 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. Learning Multiple Layers of Features from Tiny Images
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
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

• A Provably Convergent Scheme for Compressive Sensing Under Random Generative Priors (2018) — 33 citations