Pinghe Ni

Artificial Intelligence · 2018–2019

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

Subfields

• Artificial Intelligence — 6 citations into it

Whom Pinghe Ni trusts overall

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

1. Yoshua Bengio
2. Michael S. Eldred

Papers from Pinghe Ni's perspective

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

1. This PDF file includes: Materials and Methods
2. ImageNet classification with deep convolutional neural networks
3. Learning Deep Architectures for AI
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Greedy Layer-Wise Training of Deep Networks
6. Gradient-based learning applied to document recognition
7. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Using polynomial chaos expansion for uncertainty and sensitivity analysis of bridge structures (2019) — 86 citations
• Structural damage identification based on autoencoder neural networks and deep learning (2018) — 346 citations