Fangxi Zhang

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 Fangxi Zhang trusts overall

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

1. Ruslan Salakhutdinov

Papers from Fangxi Zhang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Extracting and composing robust features with denoising autoencoders
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

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