Ziwei Wu

Artificial Intelligence · 2020

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 Ziwei Wu trusts overall

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

  1. Xiangnan He

Papers from Ziwei Wu's perspective

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

  1. Understanding the difficulty of training deep feedforward neural networks
  2. TensorFlow: A system for large-scale machine learning
  3. Matrix Factorization Techniques for Recommender Systems
  4. Neural Collaborative Filtering
  5. Counterfactual reasoning and learning systems: the example of computational advertising
  6. How algorithmic confounding in recommendation systems increases homogeneity and decreases utility
  7. Modeling User Exposure in Recommendation
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Controlling Popularity Bias in Learning-to-Rank Recommendation (ACM Conference on Recommender Systems)
  10. Deep Interest Network for Click-Through Rate Prediction

Their papers