Wei Liang

Artificial Intelligence · IEEE Internet of Things Journal · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Liang trusts overall

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

  1. Yoshua Bengio
  2. Diederik P. Kingma
  3. Yann LeCun
  4. Geoffrey E. Hinton
  5. Junbo Jake Zhao
  6. C. D. Santos
  7. Alex Krizhevsky
  8. Max Welling
  9. Jani Mäntyjärvi
  10. Jed Mills

Who trusts Wei Liang overall

  1. Elangovan Ramanujam

Papers from Wei Liang's perspective

Ordered by how strongly the researchers Wei Liang 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet Large Scale Visual Recognition Challenge
  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