Yue Ding

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yue Ding trusts

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

  1. Julian McAuley (in Information Systems)
  2. Diederik P. Kingma (in Artificial Intelligence)

Papers from Yue Ding's perspective

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

  1. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  2. Stochastic Backpropagation and Approximate Inference in Deep Generative Models
  3. Representation Learning with Contrastive Predictive Coding
  4. Learning deep representations by mutual information estimation and maximization
  5. Matrix Factorization Techniques for Recommender Systems
  6. SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
  7. Deep Variational Information Bottleneck
  8. Recurrent Recommender Networks
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Factorizing personalized Markov chains for next-basket recommendation (The Web Conference)

Their papers