Sheng-de Wang

with Lin · 2002

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

Whom Sheng-de Wang trusts overall

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

  1. Vladimir Naumovich Vapni

Who trusts Sheng-de Wang overall

  1. Octavio Loyola-González
  2. Rukshan Batuwita
  3. Paula Branco
  4. Maksim Lapin
  5. Yongqiao Wang
  6. Feng Chen
  7. Vasile Palade

Papers from Sheng-de Wang's perspective

Ordered by how strongly the researchers Sheng-de Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The Nature of Statistical Learning Theory
  2. Support-Vector Networks
  3. Advances in kernel methods: support vector learning
  4. A and V
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet classification with deep convolutional neural networks
  7. Estimation of Dependences Based on Empirical Data
  8. Learning with Kernels: support vector machines, regularization, optimization, and beyond
  9. Going deeper with convolutions
  10. Statistical learning theory

Their papers