Weibin Zhang

Building and Construction · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Weibin Zhang trusts overall

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

  1. Billy M. Williams
  2. Xiaolei Ma
  3. Alex Krizhevsky
  4. S. V. Kumar
  5. Shiliang Sun
  6. Jiliang Tang
  7. Jianhua Guo
  8. Manoel Castro-Neto
  9. Joaquín Derrac
  10. Lun Zhang

Papers from Weibin Zhang's perspective

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

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

Their papers