Zirui Liu

Artificial Intelligence · 2020–2024

A researcher in the Science corpus: 2 papers; trusts 91 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 55 citations into it
• Computer Vision and Pattern Recognition — 30 citations into it
• Multimodal Learning — 11 citations into it
• Efficiency & Compression — 6 citations into it
• Model Architectures — 5 citations into it

Whom Zirui Liu trusts overall

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

1. Noam Shazeer
2. Guangxuan Xiao
3. Geoffrey E. Hinton
4. Kaiming He
5. Alex Krizhevsky
6. Yoshua Bengio
7. Karen Simonyan
8. Ji Lin
9. Diederik P. Kingma
10. Ilya Sutskever

Papers from Zirui Liu's perspective

Ordered by how strongly the researchers Zirui 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache (2024) — 545 citations
• Mitigating Gender Bias in Captioning Systems (2020) — 78 citations