Dong Wang

Information Systems · with Ding · 2013–2021

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Dong Wang trusts

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

  1. Julian McAuley (in Artificial Intelligence)
  2. Leslie G. Valiant (in Algorithms & Complexity)
  3. Diederik P. Kingma (in Artificial Intelligence)
  4. Max Welling (in Artificial Intelligence)

Who trusts Dong Wang

  1. Aneesh Sharma (in Statistical and Nonlinear Physics)

Papers from Dong Wang's perspective

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

  1. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Stochastic Backpropagation and Approximate Inference in Deep Generative Models
  4. Representation Learning with Contrastive Predictive Coding
  5. ImageNet classification with deep convolutional neural networks
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Learning deep representations by mutual information estimation and maximization
  9. Matrix Factorization Techniques for Recommender Systems
  10. Learning Multiple Layers of Features from Tiny Images

Their papers