Naigang Wang

Computer Vision and Pattern Recognition · with Chen · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 45 citations into it
• Artificial Intelligence — 43 citations into it
• Optimization & Training — 17 citations into it
• Model Architectures — 13 citations into it

Whom Naigang Wang trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Kaiming He
4. Geoffrey E. Hinton
5. Suyog Gupta
6. Jimmy Ba
7. Yoshua Bengio
8. Ilya Sutskever
9. Karen Simonyan
10. Yann LeCun

Who trusts Naigang Wang overall

1. Xiao Sun
2. Md Maruf Hossain Shuvo
3. Guandao Yang
4. Léopold Cambier
5. Tim Dettmers
6. Han Cai
7. Chia-Yu Chen
8. Syed Kamrul Islam

Papers from Naigang Wang's perspective

Ordered by how strongly the researchers Naigang Wang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
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. Learning Multiple Layers of Features from Tiny Images

Their papers

• Training Deep Neural Networks with 8-bit Floating Point Numbers (2018) — 566 citations
• Ultra-Low Precision 4-bit Training of Deep Neural Networks (2020) — 217 citations
• Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks (2019) — 255 citations