Songcan Chen

Artificial Intelligence · with Zhang · 2004

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Songcan Chen trusts overall

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

  1. Yuhai Wu
  2. Mark A. Girolami
  3. Kuo-Lung Wu
  4. Bernhard Schölkopf
  5. Asa Ben-Hur
  6. Alex Smola
  7. K. Müller
  8. Miin-Shen Yang

Who trusts Songcan Chen overall

  1. Sun-Yuan Kung
  2. Weiling Cai
  3. Maurizio Filippone
  4. Shan Shen
  5. R. Adnan

Papers from Songcan Chen's perspective

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

  1. Statistical Learning Theory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Nonlinear Component Analysis as a Kernel Eigenvalue Problem
  5. Gradient-based learning applied to document recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. An introduction to kernel-based learning algorithms
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Alternative c-means clustering algorithms (Pattern Recognition)

Their papers