Brian Zhang

Artificial Intelligence · 2017–2025

A researcher in the Science corpus: 5 papers; trusts 27 researchers and is trusted by 555 researchers here, as inferred from the citation graph.

Subfields

Whom Brian Zhang trusts overall

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

  1. Kaiming He
  2. Karen Simonyan
  3. Andrew Zisserman
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Sergey Ioffe
  7. Yann LeCun
  8. Christian Szegedy
  9. Ross B. Girshick
  10. Yoshua Bengio

Who trusts Brian Zhang overall

  1. Rohit Girdhar
  2. Limin Wang
  3. Andrew Zisserman
  4. Du Tran
  5. Chen Sun
  6. X. Wang
  7. João Carreira
  8. Christoph Feichtenhofer
  9. Lorenzo Torresani
  10. Yi Yang

Papers from Brian Zhang's perspective

Ordered by how strongly the researchers Brian Zhang 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. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers