Feng Kang

Artificial Intelligence · 2006

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it; #14,585 of 35,345 by trust here, #23,077 by citations

Whom Feng Kang trusts overall

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

1. Victor Lavrenko
2. Zoubin Ghahramani
3. Wei Chu
4. Xiaojin Zhu
5. Jiwoon Jeon
6. Thorsten Joachims
7. W. Bruce Croft
8. John D. Lafferty
9. Catherine Loader
10. Robert E. Schapire

Who trusts Feng Kang overall

1. Zhi-Hua Zhou
2. Xin Geng
3. Min-Ling Zhang
4. Xiangnan Kong
5. Zizhao Wu
6. Rongzi Ji
7. Michael Kwok-Po Ng
8. K. Smith‐Miles
9. Ruyang Shou
10. Weiwei Liu

Papers from Feng Kang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Correlated Label Propagation with Application to Multi-label Learning (2006) — 251 citations