Binbin Zhang

Artificial Intelligence · with Sun · 2017

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it; #24,179 of 35,345 by trust here, #23,077 by citations
• Signal Processing — 11 citations into it; #5,004 of 7,572 by trust here, #4,373 by citations
• Natural Language Processing — 8 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Binbin Zhang trusts overall

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

1. Geoffrey E. Hinton
2. L. Eon Bottou
3. Alex Graves
4. Abdel-rahman Mohamed
5. Yoshua Bengio
6. Yaroslav Ganin
7. Jean-Luc Gauvain
8. Yann LeCun
9. Alex Krizhevsky
10. Daniel Povey

Who trusts Binbin Zhang overall

1. Zhong Meng
2. Wei-Ning Hsu
3. Jinyu Li

Papers from Binbin Zhang's perspective

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

Their papers

• An unsupervised deep domain adaptation approach for robust speech recognition (2017) — 164 citations