Cheng-Hua Wang

Social Psychology · 2007–2019

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Cheng-Hua Wang trusts overall

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

  1. R. Law
  2. S. Sathiya Keerthi
  3. Vladimir Naumovich Vapni
  4. Yuhai Wu
  5. John H. Holland
  6. David Ruppert
  7. Robert A. Lordo
  8. Bernhard Schölkopf
  9. Alicia A. Grandey
  10. Alex Smola

Who trusts Cheng-Hua Wang overall

  1. Haiyan Song
  2. D. Wu
  3. Bo Peng

Papers from Cheng-Hua Wang's perspective

Ordered by how strongly the researchers Cheng-Hua Wang 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. Learning with Kernels: support vector machines, regularization, optimization, and beyond
  5. Learning internal representations by error propagation
  6. Learning Multiple Layers of Features from Tiny Images
  7. Statistical Learning Theory
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers