Pingping Zhang

Computer Vision and Pattern Recognition · with Jiang · 2022

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Pingping Zhang trusts overall

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

  1. Guang-Yu Deng
  2. Xiaojie Guo
  3. Yonghua Zhang
  4. Karol Gregor
  5. Yann LeCun

Papers from Pingping Zhang's perspective

Ordered by how strongly the researchers Pingping Zhang 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers