Zixuan Cang

Molecular Biology · 2017–2023

A researcher in the Science corpus: 3 papers; trusts 47 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Zixuan Cang trusts overall

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

  1. Cédric Villani
  2. Marco Cuturi
  3. Lénaïc Chizat
  4. Vin de Silva
  5. Yurii E. Nesterov
  6. Leland McInnes
  7. G. Peyr'e
  8. Paul L. Williams
  9. J. Reichardt
  10. Geoffrey E. Hinton

Who trusts Zixuan Cang overall

  1. Frédéric Chazal
  2. Suoqin Jin
  3. Giovanni Palla
  4. Erick Armingol
  5. Maksim V. Plikus
  6. Bertrand Michel
  7. Qing Nie
  8. Adam Officer
  9. David S. Fischer
  10. Yanxiang Zhao

Papers from Zixuan Cang's perspective

Ordered by how strongly the researchers Zixuan Cang 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers