Shijin Wang

Artificial Intelligence · with Chen · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shijin Wang trusts

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

  1. Lei Wang (in Artificial Intelligence)
  2. Christopher D. Manning (in Artificial Intelligence)
  3. Jimmy de la Torre (in Management Science and Operations Research)
  4. Andrew P. Bradley (in Evaluation & Benchmarks)
  5. Yan Wang (in Artificial Intelligence)
  6. Ilya Sutskever (in Artificial Intelligence)
  7. Subhro Roy (in Natural Language Processing)
  8. Oriol Vinyals (in Artificial Intelligence)
  9. Nate Kushman (in Natural Language Processing)
  10. Dongxiang Zhang (in Artificial Intelligence)

Papers from Shijin Wang's perspective

Ordered by how strongly the researchers Shijin Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  2. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet classification with deep convolutional neural networks
  8. Character-level Convolutional Networks for Text Classification
  9. Pointer Networks
  10. The Stanford CoreNLP Natural Language Processing Toolkit

Their papers