Bin Liu

Artificial Intelligence · with Govindan · 2012–2014

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bin Liu trusts overall

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

  1. Dakshi Agrawal
  2. Kilian Q. Weinberger
  3. Stephen D. Bay
  4. Kamalika Chaudhuri
  5. Zhengli Huang
  6. Prashanth Mohan
  7. Hillol Kargupta
  8. William Enck
  9. Hong Lu
  10. Lawrence K. Saul

Who trusts Bin Liu overall

  1. Yuanchun Li

Papers from Bin Liu's perspective

Ordered by how strongly the researchers Bin 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. Gradient-based learning applied to document recognition
  4. On the design and quantification of privacy preserving data mining algorithms
  5. Learning Multiple Layers of Features from Tiny Images
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Distance Metric Learning for Large Margin Nearest Neighbor Classification

Their papers