Hao Wang

Computational Theory and Mathematics · with Bäck · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Hao Wang trusts overall

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

  1. Jonas Mockus
  2. Donald R. Jones
  3. Thomas Bäck
  4. Budiman Minasny
  5. Matthew D. Hoffman
  6. Carl E. Rasmussen
  7. Matthias Schonlau
  8. Niranjan Srinivas
  9. Christopher K. I. Williams
  10. Alex B. McBratney

Who trusts Hao Wang overall

  1. Andrés Camero
  2. Thomas Bäck
  3. Enrique Alba
  4. Michael T. M. Emmerich

Papers from Hao Wang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Learning Multiple Layers of Features from Tiny Images
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Efficient Global Optimization of Expensive Black-Box Functions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers