W. Fang

Artificial Intelligence · with Chen · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Information Systems — 24 citations into it
• Recommender Systems — 8 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Sociology and Political Science — 6 citations into it

Whom W. Fang trusts overall

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

1. Steffen Rendle
2. John F. Canny
3. Prastudy Fauzi
4. Ruslan Salakhutdinov
5. Frank McSherry

Papers from W. Fang's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Practical Privacy Preserving POI Recommendation (2020) — 77 citations