Zekun Ni

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #10,552 of 35,345 by trust here, #4,682 by citations

Whom Zekun Ni trusts overall

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

1. Yoshua Bengio
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Sergey Ioffe
5. Alex Krizhevsky
6. Christian Szegedy
7. Jimmy Ba
8. Jia Deng
9. Yann LeCun
10. Ilya Sutskever

Who trusts Zekun Ni overall

1. Zhen Dong
2. Markus Nagel
3. Zi-Mei Yao
4. Sungho Shin
5. Zechun Liu
6. Itay Hubara
7. Jungwook Choi
8. Kuan Wang
9. Yunhui Guo
10. Naveen Mellempudi

Papers from Zekun Ni's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients (2016) — 2,283 citations