Bin Liang

Artificial Intelligence · with Li · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Bin Liang trusts overall

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

  1. Battista Biggio
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Nicolas Papernot
  5. Ilya Sutskever
  6. Nedim Srndic
  7. Yoshua Bengio
  8. Ian J. Goodfellow
  9. Marco Barreno
  10. Blaine Nelson

Who trusts Bin Liang overall

  1. M. V. Koroteev
  2. Yonatan Belinkov
  3. Suranjana Samanta
  4. Di Jin
  5. W. Zhang
  6. Shilin Qiu
  7. Melika Behjati
  8. Nadir Durrani
  9. Riccardo Guidotti
  10. Yu-Lun Hsieh

Papers from Bin Liang's perspective

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

Their papers