Weixin Liang

Artificial Intelligence · Neural Information Processing Systems · 2019–2023

A researcher in the Science corpus: 11 papers; trusts 546 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Weixin Liang trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Kaiming He
  4. Ilya Sutskever
  5. Yoshua Bengio
  6. Christian Szegedy
  7. Diederik P. Kingma
  8. Yann LeCun
  9. Karen Simonyan
  10. Oriol Vinyals

Who trusts Weixin Liang overall

  1. James Y. Zou
  2. Catherine Wong
  3. Yufan Zhou
  4. Joe Stacey
  5. Adithya Pratapa
  6. Zhou Yu
  7. Margaret Mitchell
  8. Cecilia Ka Yuk Chan
  9. Kevin Ellis
  10. Akash Kumar Mohankumar

Papers from Weixin Liang's perspective

Ordered by how strongly the researchers Weixin Liang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers