Ji-Ping Wang

Artificial Intelligence · 2005–2020

A researcher in the Science corpus: 4 papers; trusts 23 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Ji-Ping Wang trusts overall

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

  1. Geoffrey E. Hinton
  2. Burr Settles
  3. Ilya Sutskever
  4. Tomas Mikolov
  5. Yoshua Bengio
  6. Yann LeCun
  7. Diederik P. Kingma
  8. Jeffrey Pennington
  9. Richard Socher
  10. Alex Krizhevsky

Who trusts Ji-Ping Wang overall

  1. Xikun Zhang

Papers from Ji-Ping Wang's perspective

Ordered by how strongly the researchers Ji-Ping 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. Long Short-Term Memory
  5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  10. GloVe: Global Vectors for Word Representation

Their papers