Songxiang Liu

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 8 papers; trusts 178 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Songxiang Liu trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Graves
  4. Yoshua Bengio
  5. Aäron van den Oord
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Yann LeCun
  9. Jimmy Ba
  10. Kaiming He

Who trusts Songxiang Liu overall

  1. Rongjie Huang
  2. Dongchao Yang
  3. Cong Han
  4. Yuma Koizumi
  5. Vadim Popov
  6. Zhou Zhao
  7. Vinay S. Raghavan
  8. Kohei Yatabe
  9. Zeqian Ju
  10. Chunlei Zhang

Papers from Songxiang Liu's perspective

Ordered by how strongly the researchers Songxiang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers