Wei Peng

Artificial Intelligence · with Nazi · 2023

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Large Language Models — 21 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Natural Language Processing — 8 citations into it

Whom Wei Peng trusts overall

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

1. Jacob Devlin
2. Geoffrey E. Hinton
3. Ashish Vaswani
4. Kexin Huang
5. Alec Radford
6. Yoshua Bengio
7. Diederik P. Kingma
8. Junnan Li
9. Alex Krizhevsky
10. Andreas Mayr

Papers from Wei Peng's perspective

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

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

Their papers

• Large language models in healthcare and medical domain: A review (2023) — 474 citations