Yufei Wang

Artificial Intelligence · with Chen · 2019–2023

A researcher in the Science corpus: 3 papers; trusts 113 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 196 citations into it; #34,899 of 35,345 by trust here, #7,010 by citations
• Computer Vision and Pattern Recognition — 84 citations into it; #21,271 of 21,575 by trust here, #6,606 by citations
• Natural Language Processing — 75 citations into it
• Evaluation & Benchmarks — 39 citations into it; #3,144 of 3,147 by trust here, #1,290 by citations
• Information Systems — 15 citations into it

Whom Yufei Wang trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Kaiming He
6. Ilya Sutskever
7. Yann LeCun
8. Alex Graves
9. Jimmy Ba
10. Ross B. Girshick

Who trusts Yufei Wang overall

1. Xiaowei Hu
2. Yangsibo Huang
3. Jianfeng Wang
4. Marcella Cornia
5. Junnan Li
6. Wenliang Dai
7. Amita Kamath
8. Pengchuan Zhang

Papers from Yufei Wang's perspective

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

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

Their papers

• nocaps: novel object captioning at scale (2019) — 658 citations
• Aligning Large Language Models with Human: A Survey (2023) — 495 citations
• Unifying Large Language Models and Knowledge Graphs: A Roadmap (2023) — 1,606 citations