Dakuo Wang

Artificial Intelligence · CHI Extended Abstracts · 2019–2022

A researcher in the Science corpus: 6 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dakuo Wang trusts overall

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

  1. Jeffrey Heer
  2. Joaquin Vanschoren
  3. James Max Kanter
  4. Randal S. Olson
  5. Michael J. Muller
  6. T. Loughin
  7. Sean Kandel
  8. Adam Rule
  9. Bobak Shahriari
  10. Yolanda Gil

Papers from Dakuo Wang's perspective

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

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Scikit-learn: Machine Learning in Python
  9. ImageNet: A large-scale hierarchical image database
  10. Bleu: a Method for Automatic Evaluation of Machine Translation

Their papers