Wenxuan Zhou

Artificial Intelligence · with Bajracharya · 2012–2020

A researcher in the Science corpus: 3 papers; trusts 43 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Wenxuan Zhou trusts overall

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

  1. Diederik P. Kingma
  2. Sergey Levine
  3. Scott Fujimoto
  4. Jan Peters
  5. Aviral Kumar
  6. Geoffrey E. Hinton
  7. Richard S. Sutton
  8. Justin Fu
  9. Yoshua Bengio
  10. Pieter Abbeel

Who trusts Wenxuan Zhou overall

  1. Tianhe Yu
  2. Hlabishi I. Kobo
  3. Ryan Beckett
  4. Aviral Kumar
  5. Ian F. Akyildiz

Papers from Wenxuan Zhou's perspective

Ordered by how strongly the researchers Wenxuan Zhou 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. GENERATIVE ADVERSARIAL NETS
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers