Boxing Xu

Electrical and Electronic Engineering · 2023

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 29 citations into it
• Computer Vision and Pattern Recognition — 24 citations into it
• Model Architectures — 19 citations into it
• Cognitive Neuroscience — 17 citations into it

Whom Boxing Xu trusts overall

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

1. Alex Krizhevsky

Papers from Boxing Xu's perspective

Ordered by how strongly the researchers Boxing Xu 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. Attention is All you Need (Neural Information Processing Systems)
3. Learning Multiple Layers of Features from Tiny Images
4. ImageNet: A large-scale hierarchical image database
5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. ImageNet classification with deep convolutional neural networks
7. 5分で分かる!? 有名論文ナナメ読み：Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
8. Long Short-Term Memory
9. Gradient-based learning applied to document recognition
10. Identity Mappings in Deep Residual Networks

Their papers

• Spike-driven Transformer (2023) — 315 citations