Jun Zhang

with Li · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Jun Zhang trusts overall

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

  1. Matthew Schultz
  2. Ronan Collobert
  3. Florian Schroff
  4. Brandon Amos

Papers from Jun Zhang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. FaceNet: A unified embedding for face recognition and clustering
  5. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments
  6. Going deeper with convolutions
  7. Torch7: A Matlab-like Environment for Machine Learning
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. DeepFace: Closing the Gap to Human-Level Performance in Face Verification
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers