Lingfeng Yuan

Information Systems · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 10 citations into it
• Recommender Systems — 9 citations into it
• Natural Language Processing — 5 citations into it
• Signal Processing — 5 citations into it

Whom Lingfeng Yuan trusts overall

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

1. Ruslan Salakhutdinov
2. Geoffrey E. Hinton
3. Andriy Mnih

Papers from Lingfeng Yuan's perspective

Ordered by how strongly the researchers Lingfeng Yuan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Extracting and composing robust features with denoising autoencoders
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion

Their papers

• A Hybrid Collaborative Filtering Model with Deep Structure for Recommender Systems (2017) — 297 citations