Zhikui Chen

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 4 papers; trusts 177 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 88 citations into it; #21,959 of 35,345 by trust here, #13,353 by citations
• Computer Vision and Pattern Recognition — 65 citations into it
• Model Architectures — 29 citations into it
• Representation & Self-Supervised Learning — 26 citations into it
• Natural Language Processing — 11 citations into it
• Optimization & Training — 11 citations into it
• Information Systems — 9 citations into it
• Probabilistic & Bayesian Methods — 8 citations into it

Whom Zhikui Chen trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Yann LeCun
4. Alex Krizhevsky
5. Alex Graves
6. Pascal Vincent
7. Ilya Sutskever
8. Kaiming He
9. Ruslan Salakhutdinov
10. Diederik P. Kingma

Who trusts Zhikui Chen overall

1. Ahmed El Ouadrhiri

Papers from Zhikui Chen's perspective

Ordered by how strongly the researchers Zhikui Chen 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. Long Short-Term Memory
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. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• A Survey on Deep Learning for Multimodal Data Fusion (2020) — 733 citations
• A survey on deep learning for big data (2018) — 726 citations
• Deep Computation Model for Unsupervised Feature Learning on Big Data (2016) — 138 citations
• Privacy Preserving Deep Computation Model on Cloud for Big Data Feature Learning (2016) — 261 citations