Wei Zhou

Artificial Intelligence · with Bai · 2020

A researcher in the Science corpus: 2 papers; trusts 92 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it
• Computer Vision and Pattern Recognition — 38 citations into it
• Efficiency & Compression — 13 citations into it
• Natural Language Processing — 12 citations into it
• Optimization & Training — 5 citations into it

Whom Wei Zhou trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Kaiming He
4. Alex Krizhevsky
5. Sepp Hochreiter
6. Hermann Ney
7. Ross B. Girshick
8. Ralf Schlüter
9. Yann LeCun
10. Diederik P. Kingma

Who trusts Wei Zhou overall

1. Tatiana Likhomanenko
2. Rohit Prabhavalkar
3. Wei-Ning Hsu
4. Qiantong Xu

Papers from Wei Zhou's perspective

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

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

Their papers

• The Rwth Asr System for Ted-Lium Release 2: Improving Hybrid Hmm With Specaugment (2020) — 46 citations
• Intra-class Feature Variation Distillation for Semantic Segmentation (2020) — 204 citations