Liming Wang

Artificial Intelligence · with Wu · 2021

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Liming Wang trusts overall

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

  1. Diederik P. Kingma
  2. Karen Simonyan
  3. Geoffrey E. Hinton

Papers from Liming Wang's perspective

Ordered by how strongly the researchers Liming 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. Attention is All you Need (Neural Information Processing Systems)
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  5. ImageNet classification with deep convolutional neural networks
  6. Rethinking the Inception Architecture for Computer Vision
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Show and tell: A neural image caption generator
  9. Gradient-based learning applied to document recognition
  10. Long Short-Term Memory

Their papers