Wanquan Liu

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it

Whom Wanquan Liu trusts overall

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

1. Yoshua Bengio

Papers from Wanquan Liu's perspective

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

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

Their papers

• Structural damage identification based on autoencoder neural networks and deep learning (2018) — 346 citations