Feng Cheng

Atomic and Molecular Physics, and Optics · with Liu · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Atomic and Molecular Physics, and Optics — 28 citations into it
• Artificial Intelligence — 19 citations into it
• Materials Chemistry — 11 citations into it
• Molecular Biology — 11 citations into it

Whom Feng Cheng trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Giuseppe Carleo
4. Juan Felipe Carrasquilla
5. Pierre Baldi
6. Tian Xie
7. Garrett B. Goh
8. Alex Krizhevsky
9. Max Welling
10. Yann LeCun

Who trusts Feng Cheng overall

1. Wei Ma
2. Erico Tjoa
3. Yihao Xu

Papers from Feng Cheng's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
10. Going deeper with convolutions

Their papers

• Deep-Learning-Enabled On-Demand Design of Chiral Metamaterials. (2018) — 807 citations
• Probabilistic Representation and Inverse Design of Metamaterials Based on a Deep Generative Model with Semi‐Supervised Learning Strategy (2019) — 534 citations