Meng Liu

Artificial Intelligence · with Chua · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 236 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Meng Liu trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Karen Simonyan
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Diederik P. Kingma
  7. Ross B. Girshick
  8. Ilya Sutskever
  9. Richard Socher
  10. Yann LeCun

Who trusts Meng Liu overall

  1. Yitian Yuan
  2. Hao Zhang
  3. Songyang Zhang
  4. Xiang Wang
  5. Hao Zhou
  6. Victor Escorcia
  7. Xiangnan He
  8. Tao Mei

Papers from Meng Liu's perspective

Ordered by how strongly the researchers Meng Liu 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. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers