Hanwen Wang

Statistical and Nonlinear Physics · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Hanwen Wang trusts overall

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

  1. Maizar Raissi
  2. Paris Perdikaris
  3. Diederik P. Kingma
  4. Stephen M. Cox
  5. Sifan Wang
  6. G. Em Karniadakis
  7. Xavier Glorot
  8. Yoshua Bengio
  9. Jimmy Ba
  10. Geoffrey E. Hinton

Who trusts Hanwen Wang overall

  1. Shuhao Cao
  2. Zijie Li
  3. Benjamin Moseley
  4. Lu Lu
  5. Pengzhan Jin
  6. Kamyar Azzizadenesheli

Papers from Hanwen Wang's perspective

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

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

Their papers