De-gang Chen

Computational Theory and Mathematics · 2005–2016

A researcher in the Science corpus: 5 papers; trusts 7 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom De-gang Chen trusts overall

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

  1. Bernhard Schölkopf
  2. Alex Smola
  3. Vladimir Naumovich Vapni
  4. Yuhai Wu
  5. Ingo Steinwart
  6. N. H. Bingham
  7. Weizhi Wu

Who trusts De-gang Chen overall

  1. K. V. Babitha
  2. Feng Feng
  3. Naim Çagman
  4. Zhi Kong
  5. William Zhu
  6. Young Bae Jun
  7. Dimitris N. Georgiou
  8. Bashir Ahmad
  9. François Bavaud
  10. Kuttiannan Thangavel

Papers from De-gang Chen's perspective

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

  1. The Nature of Statistical Learning Theory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Learning with Kernels: support vector machines, regularization, optimization, and beyond
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers