Long Wang

Artificial Intelligence · with Huang · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Long Wang trusts overall

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

  1. Jerome H. Friedman
  2. Vladimir Naumovich Vapni
  3. Ya-Xiang Yuan
  4. Jasper Snoek
  5. Jane Elith
  6. Richard Perez

Who trusts Long Wang overall

  1. Billy Pik Lik Lau

Papers from Long Wang's perspective

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

  1. The Nature of Statistical Learning Theory
  2. Greedy function approximation: A gradient boosting machine.
  3. Practical Bayesian Optimization of Machine Learning Algorithms
  4. Validation of short and medium term operational solar radiation forecasts in the US
  5. Rethinking satellite-based solar irradiance modelling: The SOLIS clear-sky module
  6. A working guide to boosted regression trees.
  7. Recent advances in trust region algorithms (Mathematical programming)
  8. Review of photovoltaic power forecasting
  9. ImageNet classification with deep convolutional neural networks
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers