Ping Wang

Artificial Intelligence · with Reddy · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 67 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ping Wang trusts overall

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

  1. Robert Tibshirani
  2. Leo Breiman
  3. David John Cameron MacKay
  4. Alex Smola
  5. Thomas G. Dietterich
  6. Trevor J. Hastie
  7. Bernhard Schölkopf
  8. Eric R. Ziegel
  9. Sinno Jialin Pan
  10. Jerome H. Friedman

Who trusts Ping Wang overall

  1. Lev V. Utkin
  2. Egor D. Satyukov
  3. Yue Dong
  4. Kelvin Luu

Papers from Ping Wang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  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