Hongpeng Zhou

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 184 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Computer Vision and Pattern Recognition — 32 citations into it
• Efficiency & Compression — 19 citations into it
• Model Architectures — 13 citations into it
• Neural Architecture Search & AutoML — 11 citations into it
• Optimization & Training — 11 citations into it
• Probabilistic & Bayesian Methods — 8 citations into it

Whom Hongpeng Zhou trusts overall

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

1. David John Cameron MacKay
2. Yann LeCun
3. Geoffrey E. Hinton
4. Kaiming He
5. Radford M. Neal
6. Alex Graves
7. Alex Krizhevsky
8. Yoshua Bengio
9. Barret Zoph
10. Karen Simonyan

Who trusts Hongpeng Zhou overall

1. Colin White
2. Renqian Luo
3. Chen Wei
4. Han Shi
5. Christian Sciuto
6. Samuel G. Müller
7. Willie Neiswanger
8. Xu Tan
9. Chuang Niu
10. Renjie Pi

Papers from Hongpeng Zhou's perspective

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

Their papers

• BayesNAS: A Bayesian Approach for Neural Architecture Search (2019) — 221 citations