Ligeng Zhu

Computer Vision and Pattern Recognition · with Deng · 2018

A researcher in the Science corpus: 1 paper; trusts 98 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it
• Artificial Intelligence — 28 citations into it
• Model Architectures — 19 citations into it
• Optimization & Training — 7 citations into it

Whom Ligeng Zhu trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Christian Szegedy
4. Geoffrey E. Hinton
5. Karen Simonyan
6. Ross B. Girshick
7. Ilya Sutskever
8. Yoshua Bengio
9. Yann LeCun
10. X. Zhang

Who trusts Ligeng Zhu overall

1. Chien-Yao Wang
2. Han Cai
3. Hongpeng Liao
4. Ping Chao
5. Michael James Horry
6. I-Hau Yeh
7. Ligeng Zhu

Papers from Ligeng Zhu's perspective

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

Their papers

• Sparsely Aggregated Convolutional Networks (2018) — 66 citations