Jingdong Chen

Artificial Intelligence · with Wang · 2015–2021

A researcher in the Science corpus: 2 papers; trusts 174 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jingdong Chen trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Tsung-Yi Lin
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Christian Szegedy
  9. Yann LeCun
  10. Jia Deng

Papers from Jingdong Chen's perspective

Ordered by how strongly the researchers Jingdong Chen 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. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Going deeper with convolutions
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Gradient-based learning applied to document recognition
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Microsoft COCO: Common Objects in Context

Their papers