Hao Wang

Acoustics and Ultrasonics · with Li · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Acoustics and Ultrasonics — 18 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Artificial Intelligence — 7 citations into it

Whom Hao Wang trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. George V. Cybenko
4. Ori Katz
5. Vinod Nair
6. S. Popoff
7. Allard P. Mosk
8. Li Deng
9. Ivo M. Vellekoop
10. Nitish Srivastava

Papers from Hao Wang's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Dropout: a simple way to prevent neural networks from overfitting
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. ImageNet: A large-scale hierarchical image database

Their papers

• Deep-learning-based ghost imaging (2017) — 365 citations
• Learning-based lensless imaging through optically thick scattering media (2019) — 168 citations