Meng Lyu

Acoustics and Ultrasonics · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Acoustics and Ultrasonics — 21 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it
• Artificial Intelligence — 8 citations into it
• Model Architectures — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Meng Lyu trusts overall

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

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

Who trusts Meng Lyu overall

1. Fei Wang

Papers from Meng Lyu's perspective

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

Their papers

• Deep-learning-based ghost imaging (2017) — 365 citations
• Phase imaging with an untrained neural network (2020) — 369 citations
• Learning-based lensless imaging through optically thick scattering media (2019) — 168 citations