Jinyang Liu

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 271 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 101 citations into it
• Computer Vision and Pattern Recognition — 88 citations into it
• Efficiency & Compression — 23 citations into it
• Multimodal Learning — 23 citations into it

Whom Jinyang 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. Ilya Sutskever
7. Yann LeCun
8. Ross B. Girshick
9. Oriol Vinyals
10. Karen Simonyan

Papers from Jinyang Liu's perspective

Ordered by how strongly the researchers Jinyang 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. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey (2024) — 1,015 citations