Weibin Zhu

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Weibin Zhu trusts overall

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

  1. Kaiming He
  2. Sergey Ioffe
  3. Sebastian Braun
  4. Xavier Glorot
  5. Chandan K. A. Reddy
  6. Babak Naderi
  7. Christian Szegedy
  8. Tsung-Yi Lin
  9. Yoshua Bengio
  10. Yi Luo

Papers from Weibin Zhu's perspective

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

  1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  9. ImageNet: A large-scale hierarchical image database
  10. Going deeper with convolutions

Their papers