Nansu Zong

Molecular Biology · 2017

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nansu Zong trusts overall

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

  1. Andriy Mnih
  2. Kevin Bleakley
  3. Glen Jeh
  4. Yoshihiro Yamanishi
  5. Kwang-Il Goh
  6. Geoffrey E. Hinton
  7. Jennifer Widom
  8. Michael E. Cusick

Who trusts Nansu Zong overall

  1. Maryam Bagherian

Papers from Nansu Zong's perspective

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

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

Their papers