Jie Ding

Artificial Intelligence · with Tarokh · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 61 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jie Ding trusts overall

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

  1. Yuhong Yang
  2. Robert Tibshirani
  3. Hui Zou
  4. Cun-Hui Zhang
  5. Yann LeCun
  6. S. Geisser
  7. Wei Pan
  8. Jianqing Fan
  9. Nicolai Meinshausen
  10. Geoffrey E. Hinton

Papers from Jie Ding's perspective

Ordered by how strongly the researchers Jie Ding 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers