Yongfei Liu

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 175 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 50 citations into it
• Computer Vision and Pattern Recognition — 49 citations into it
• Meta & Continual Learning — 8 citations into it
• Model Architectures — 6 citations into it
• Radiology, Nuclear Medicine and Imaging — 5 citations into it

Whom Yongfei Liu trusts overall

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

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

Who trusts Yongfei Liu overall

1. Juhong Min
2. Gengwei Zhang
3. Yuyang Zhao
4. Chunbo Lang
5. Amir Bar
6. Binghao Liu
7. Jiarui Xu
8. Shipeng Yan
9. Zhiyuan Fang
10. Dahyun Kang

Papers from Yongfei Liu's perspective

Ordered by how strongly the researchers Yongfei Liu 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. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Part-aware Prototype Network for Few-shot Semantic Segmentation (2020) — 406 citations
• KD-VLP: Improving End-to-End Vision-and-Language Pretraining with Object Knowledge Distillation (2021) — 33 citations