Weiwei Liu

Artificial Intelligence · with Du · 2023

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 53 citations into it
• Computer Vision and Pattern Recognition — 37 citations into it
• Safety, Robustness & Interpretability — 20 citations into it
• Generative Models — 15 citations into it
• Optimization & Training — 11 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Weiwei Liu trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Yoshua Bengio
6. Yann LeCun
7. Yang Song
8. Yurii E. Nesterov
9. Ilya Sutskever
10. Christian Szegedy

Papers from Weiwei Liu's perspective

Ordered by how strongly the researchers Weiwei 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. Learning Multiple Layers of Features from Tiny Images
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Better Diffusion Models Further Improve Adversarial Training (2023) — 317 citations