Linfeng Zhang

Materials Chemistry · Computer Physics Communications · 2017–2023

A researcher in the Science corpus: 8 papers; trusts 59 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Linfeng Zhang trusts overall

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

  1. Diederik P. Kingma
  2. Cédric Villani
  3. Kaiming He
  4. J. Behler
  5. S. Plimpton
  6. Laurent Dinh
  7. Danilo Jimenez Rezende
  8. Geoffrey E. Hinton
  9. Kristof T. Schütt
  10. Yoshua Bengio

Who trusts Linfeng Zhang overall

  1. Risi Kondor
  2. T. Wen
  3. Lars Ruthotto
  4. Han Wang
  5. Simon L. Batzner
  6. Xianglin Liu
  7. Derek Onken
  8. Jared D. Willard
  9. Jiequn Han
  10. Albert Musaelian

Papers from Linfeng Zhang's perspective

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

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

Their papers