Shiwei Liu

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 88 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 66 citations into it
• Computer Vision and Pattern Recognition — 52 citations into it
• Efficiency & Compression — 41 citations into it
• Optimization & Training — 17 citations into it
• Scaling & Learning Theory — 9 citations into it

Whom Shiwei Liu trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Yann LeCun
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Yoshua Bengio
7. Ilya Sutskever
8. Song Han
9. Karen Simonyan
10. Robert Tibshirani

Who trusts Shiwei Liu overall

1. Utku Evci
2. Mustafa Burak Gurbuz
3. Yani Ioannou

Papers from Shiwei Liu's perspective

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

Their papers

• Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training (2021) — 151 citations
• Sparse evolutionary deep learning with over one million artificial neurons on commodity hardware (2019) — 95 citations