Chengcheng Tang

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chengcheng Tang trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Sergey Ioffe
  4. Philippe Huber
  5. M. Powell
  6. Christian Szegedy
  7. Geoffrey E. Hinton
  8. Jimmy Ba
  9. Daniel Maturana
  10. Ross B. Girshick

Who trusts Chengcheng Tang overall

  1. Hanwen Jiang
  2. Yana Hasson

Papers from Chengcheng Tang's perspective

Ordered by how strongly the researchers Chengcheng Tang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers