Kan Wu

Artificial Intelligence · with Liu · 2021

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 — 32 citations into it

Whom Kan Wu trusts

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

1. Yuxiao Dong (in Artificial Intelligence)
2. Quoc V. Le (in Artificial Intelligence)
3. Iz Beltagy (in Artificial Intelligence)

Papers from Kan Wu's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
3. Language Models are Unsupervised Multitask Learners
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. ImageNet classification with deep convolutional neural networks
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
9. ImageNet: A large-scale hierarchical image database
10. Gradient-based learning applied to document recognition

Their papers

• OAG-BERT: Pre-train Heterogeneous Entity-augmented Academic Language Models (2021) — 15 citations