Jian Liu

Artificial Intelligence · with Asokan · 2017

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Jian Liu trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. Donald Beaver
  4. Ilya Sutskever
  5. Geoffrey E. Hinton
  6. Wojciech Zaremba
  7. Dong C. Liu
  8. Nigel P. Smart
  9. Payman Mohassel
  10. Tomas Mikolov

Who trusts Jian Liu overall

  1. Sameer Wagh
  2. Fatemehsadat Mireshghallah
  3. M. Sadegh Riazi
  4. Divya Gupta
  5. Mohammadkazem Taram
  6. Jiasi Chen
  7. Nishanth Chandran
  8. Praneeth Vepakomma
  9. David E. Evans
  10. Chiraag Shashikant Juvekar

Papers from Jian Liu's perspective

Ordered by how strongly the researchers Jian Liu 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. Learning Multiple Layers of Features from Tiny Images
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers