Yuheng Zou

Artificial Intelligence · 2016

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it; #9,664 of 35,345 by trust here, #4,370 by citations
• Computer Vision and Pattern Recognition — 33 citations into it; #6,749 of 21,575 by trust here, #3,323 by citations
• Efficiency & Compression — 25 citations into it; #369 of 1,264 by trust here, #207 by citations
• Model Architectures — 15 citations into it
• Optimization & Training — 8 citations into it

Whom Yuheng Zou trusts overall

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

1. Yoshua Bengio
2. Diederik P. Kingma
3. Geoffrey E. Hinton

Who trusts Yuheng Zou overall

1. Zhen Dong

Papers from Yuheng Zou's perspective

Ordered by how strongly the researchers Yuheng Zou trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet: A large-scale hierarchical image database
4. Going deeper with convolutions
5. ImageNet classification with deep convolutional neural networks
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Dropout: a simple way to prevent neural networks from overfitting
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Gradient-based learning applied to document recognition

Their papers

• DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients (2016) — 2,283 citations
• Effective Quantization Methods for Recurrent Neural Networks (2016) — 82 citations