Liuliang Yuan

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 3 papers; trusts 165 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 77 citations into it
• Artificial Intelligence — 61 citations into it
• Electrical and Electronic Engineering — 51 citations into it
• Model Architectures — 40 citations into it
• Cognitive Neuroscience — 35 citations into it
• Computational Mechanics — 22 citations into it
• Geology — 17 citations into it
• Representation & Self-Supervised Learning — 11 citations into it

Whom Liuliang Yuan trusts overall

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

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

Papers from Liuliang Yuan's perspective

Ordered by how strongly the researchers Liuliang Yuan 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. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Spikformer: When Spiking Neural Network Meets Transformer (2022) — 519 citations
• Spike-driven Transformer (2023) — 315 citations
• Masked Autoencoders for Point Cloud Self-supervised Learning (2022) — 737 citations