Wenquan Wu

Artificial Intelligence · 2020

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

• Artificial Intelligence — 30 citations into it
• Natural Language Processing — 24 citations into it

Whom Wenquan Wu trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio

Papers from Wenquan Wu's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
7. Long Short-Term Memory
8. Language Models are Unsupervised Multitask Learners
9. Language Models are Few-Shot Learners (Neural Information Processing Systems)
10. Gradient-based learning applied to document recognition

Their papers

• PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning (2020) — 150 citations