Boxin Wang

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 6 papers; trusts 52 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Boxin Wang trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Ilya Sutskever
  5. Alex Krizhevsky
  6. Kaiming He
  7. Yann LeCun
  8. Richard Socher
  9. Tomas Mikolov
  10. Samuel R. Bowman

Who trusts Boxin Wang overall

  1. Chenglei Si
  2. Jindong Wang
  3. Alexander Wei
  4. Yu Meng
  5. Zheda Mai
  6. Dongsub Shim
  7. Jiahao Yu
  8. Freda Shi
  9. Shaden Smith

Papers from Boxin Wang's perspective

Ordered by how strongly the researchers Boxin Wang 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers