Danding Wang

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Danding Wang trusts overall

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

  1. Brian Y. Lim
  2. Zachary Chase Lipton
  3. Geoffrey E. Hinton
  4. Scott M. Lundberg
  5. David E. Rumelhart
  6. Anind K. Dey
  7. Yoshua Bengio
  8. Pascal Vincent
  9. Quanshi Zhang
  10. Alex Krizhevsky

Who trusts Danding Wang overall

  1. Q. Liao
  2. Erico Tjoa
  3. Sina Mohseni
  4. Daniel Omeiza
  5. Michael Chromik
  6. Anna Markella Antoniadi
  7. Gagan Bansal
  8. Ben Shneiderman
  9. Cuntai Guan
  10. Giulia Vilone

Papers from Danding Wang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers