Alice X. Zheng

Statistical and Nonlinear Physics · 2001–2016

A researcher in the Science corpus: 9 papers; trusts 50 researchers and is trusted by 54 researchers here, as inferred from the citation graph.

Subfields

Whom Alice X. Zheng trusts overall

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

  1. Jon M. Kleinberg
  2. Ben Liblit
  3. Tom A. B. Snijders
  4. Eric R. Ziegel
  5. Mark Newman
  6. Mark S. Handcock
  7. Michael I. Jordan
  8. David R. Hunter
  9. Inderjit S. Dhillon
  10. John Hartigan

Who trusts Alice X. Zheng overall

  1. Amy Nicole Langville
  2. Bahman Bahmani
  3. Lise Getoor
  4. Carl Dean Meyer
  5. Ben Liblit
  6. Xiangnan He
  7. Xin Cao
  8. Monica Bianchini
  9. Chao Liu
  10. Michael I. Jordan

Papers from Alice X. Zheng's perspective

Ordered by how strongly the researchers Alice X. Zheng 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. 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