Shiqiang Wang

Artificial Intelligence · with Leung · 2015–2021

A researcher in the Science corpus: 8 papers; trusts 104 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Shiqiang Wang trusts overall

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

  1. Alex Krizhevsky
  2. L. Eon Bottou
  3. Yann LeCun
  4. Shai Shalev-Shwartz
  5. H. Brendan McMahan
  6. Geoffrey E. Hinton
  7. Yoshua Bengio
  8. Kaiming He
  9. Karen Simonyan
  10. Diederik P. Kingma

Who trusts Shiqiang Wang overall

  1. Umair Mohammad
  2. Lumin Liu
  3. Sameh Sorour
  4. Jihong Park
  5. Khaled Ben Letaief
  6. Ahmed Khaled
  7. Anis Elgabli
  8. Howard H. Yang
  9. Tian Li
  10. Yujing Chen

Papers from Shiqiang Wang's perspective

Ordered by how strongly the researchers Shiqiang Wang 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. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Learning Multiple Layers of Features from Tiny Images
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers