Zhao Kang

Computer Vision and Pattern Recognition · with Han · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it
• Artificial Intelligence — 18 citations into it
• Computational Mechanics — 7 citations into it
• Media Technology — 7 citations into it
• Representation & Self-Supervised Learning — 6 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Zhao Kang trusts overall

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

1. Diederik P. Kingma
2. Andrew Y. Ng
3. Geoffrey E. Hinton
4. Yann LeCun
5. Xinlei Chen
6. Ehsan Elhamifar
7. Alex Krizhevsky
8. Jimmy Ba
9. Yoshua Bengio
10. Wei David Liu

Who trusts Zhao Kang overall

1. Siwei Wang
2. Pei Zhang

Papers from Zhao Kang's perspective

Ordered by how strongly the researchers Zhao Kang 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

• Multi-view Contrastive Graph Clustering (2021) — 301 citations
• Large-scale Multi-view Subspace Clustering in Linear Time (2019) — 602 citations