Shijie Cao

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 59 citations into it
• Computer Vision and Pattern Recognition — 58 citations into it
• Efficiency & Compression — 48 citations into it
• Model Architectures — 20 citations into it
• Optimization & Training — 8 citations into it

Whom Shijie Cao trusts overall

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

1. Song Han
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yann LeCun
5. Karen Simonyan
6. Sergey Ioffe
7. Kaiming He
8. Christian Szegedy
9. Yoshua Bengio
10. Diederik P. Kingma

Papers from Shijie Cao's perspective

Ordered by how strongly the researchers Shijie Cao trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization (2019) — 80 citations
• Dense-to-Sparse Gate for Mixture-of-Experts (2021) — 36 citations
• Balanced Sparsity for Efficient DNN Inference on GPU (2018) — 99 citations