Wei Xu

Artificial Intelligence · 4 papers · 2017–2021

A researcher in the Science corpus: 4 papers; trusts 80 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 126 citations into it
• Computer Vision and Pattern Recognition — 83 citations into it

Whom Wei Xu trusts overall

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

1. Diederik P. Kingma
2. Alex Krizhevsky
3. Geoffrey E. Hinton

Papers from Wei Xu's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Long Short-Term Memory

Their papers

• The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics (2021) — 329 citations
• Occlusion Aware Unsupervised Learning of Optical Flow (2017) — 340 citations
• Mesoporous LaFeO3 perovskite derived from MOF gel for all-solid-state symmetric supercapacitors (2020) — 147 citations
• Clinically applicable histopathological diagnosis system for gastric cancer detection using deep learning (2020) — 350 citations