Dingxian Wang

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Dingxian Wang trusts overall

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

  1. L. Eon Bottou
  2. Xiang Wang
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Hongwei Wang
  6. Geoffrey E. Hinton
  7. Steffen Rendle
  8. Xavier Glorot
  9. Xiangnan He
  10. Alex Krizhevsky

Who trusts Dingxian Wang overall

  1. Lie He
  2. Sai Praneeth Karimireddy
  3. Walid Krichene
  4. Avishek Ghosh
  5. Martin Jaggi
  6. Xiongwei Wu
  7. Xiang Wang

Papers from Dingxian Wang's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Understanding the difficulty of training deep feedforward neural networks

Their papers