Bin Bi

Artificial Intelligence · 2012–2022

A researcher in the Science corpus: 12 papers; trusts 476 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Bin Bi trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Diederik P. Kingma
  6. Ilya Sutskever
  7. Alec Radford
  8. Jacob Devlin
  9. Jimmy Ba
  10. Yann LeCun

Who trusts Bin Bi overall

  1. Chenliang Li
  2. Guoliang Li
  3. Yudian Zheng
  4. Ming Yan
  5. Yuji Roh
  6. Qiang Liu
  7. Benedikt Boecking
  8. Moria Bergman
  9. Xi Chen
  10. Katikapalli Subramanyam Kalyan

Papers from Bin Bi's perspective

Ordered by how strongly the researchers Bin Bi 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers