Ying-wei Zhang

Analytical Chemistry · 2009–2013

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Ying-wei Zhang trusts overall

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

  1. Aapo Hyvärinen
  2. Jong-Min Lee
  3. S. Qin
  4. In-Beum Lee
  5. Roman Rosipal
  6. Svante Wold

Who trusts Ying-wei Zhang overall

  1. Zhiqiang Ge
  2. Zhihuan Song
  3. Steven X. Ding
  4. Biao Huang

Papers from Ying-wei Zhang's perspective

Ordered by how strongly the researchers Ying-wei Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The Nature of Statistical Learning Theory
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. GENERATIVE ADVERSARIAL NETS
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. This PDF file includes: Materials and Methods
  7. Learning Deep Architectures for AI
  8. Backpropagation Applied to Handwritten Zip Code Recognition
  9. Dropout: a simple way to prevent neural networks from overfitting
  10. Training Products of Experts by Minimizing Contrastive Divergence

Their papers