Daixin Wang

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 157 researchers and is trusted by 55 researchers here, as inferred from the citation graph.

Subfields

Whom Daixin Wang trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Yoshua Bengio
  4. Ruslan Salakhutdinov
  5. Diederik P. Kingma
  6. Ilya Sutskever
  7. Karen Simonyan
  8. Yann LeCun
  9. Kaiming He
  10. Radford M. Neal

Who trusts Daixin Wang overall

  1. Palash Goyal
  2. Aleksandar Bojchevski
  3. Vincent Wenchen Zheng
  4. William L. Hamilton
  5. David M. Beskow
  6. Mark Heimann
  7. Peng Cui
  8. Shirui Pan
  9. Hongyun Cai
  10. Yunsheng Bai

Papers from Daixin Wang's perspective

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

Their papers