Fan Wu

Economics and Econometrics · with Basios · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fan Wu trusts

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

  1. A. H. Dyhrberg (in Economics and Econometrics)
  2. Jerome H. Friedman (in Artificial Intelligence)
  3. Claes Wohlin (in Computer Networks and Communications)
  4. Thomas Oberlechner (in Economics and Econometrics)
  5. Brian M. Lucey (in Information Systems)

Papers from Fan Wu's perspective

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

  1. On the difficulty of training recurrent neural networks
  2. Deep Reinforcement Learning that Matters
  3. BitCoin meets Google Trends and Wikipedia: Quantifying the relationship between phenomena of the Internet era (Scientific Reports)
  4. Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin
  5. Continuous Deep Q-Learning with Model-based Acceleration
  6. Greedy function approximation: A gradient boosting machine.
  7. Extensions of recurrent neural network language model
  8. A Convolutional Neural Network for Modelling Sentences
  9. Face recognition: a convolutional neural-network approach
  10. Automated Bitcoin Trading via Machine Learning Algorithms

Their papers