Yiming Ying

Artificial Intelligence · with Campbell · 2001–2013

A researcher in the Science corpus: 11 papers; trusts 194 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

Whom Yiming Ying trusts overall

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

  1. Peter L. Bartlett
  2. Charles A. Micchelli
  3. Yurii E. Nesterov
  4. John Shawe-Taylor
  5. Tong Zhang
  6. Francis R. Bach
  7. Vladimir Koltchinskii
  8. Ingo Steinwart
  9. Nello Cristianini
  10. Yi Lin

Who trusts Yiming Ying overall

  1. Bharath K. Sriperumbudur
  2. Anastasia Pentina
  3. Thomas Berg
  4. Dan Garber
  5. Chang Xu
  6. Junlin Hu
  7. Qiong Cao
  8. Bruce A. Cox
  9. Eric Learned-Miller
  10. Z. Li

Papers from Yiming Ying's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers