Yanbing Liu

Artificial Intelligence · 2019

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 Yanbing Liu trusts

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

  1. Ronald J. Williams (in Reinforcement Learning)
  2. Kyunghyun Cho (in Artificial Intelligence)

Papers from Yanbing Liu's perspective

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

  1. GloVe: Global Vectors for Word Representation
  2. Efficient Estimation of Word Representations in Vector Space
  3. Human-level control through deep reinforcement learning
  4. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  5. Learning to link with wikipedia
  6. Large-Scale Named Entity Disambiguation Based on Wikipedia Data (Conference on Empirical Methods in Natural Language Processing)
  7. Local and Global Algorithms for Disambiguation to Wikipedia
  8. Robust Disambiguation of Named Entities in Text
  9. XGBoost: A Scalable Tree Boosting System
  10. Deep Joint Entity Disambiguation with Local Neural Attention

Their papers