Zhen Han

Computer Vision and Pattern Recognition · with Wang · 2025

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhen Han trusts overall

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

  1. Jonathan Ho
  2. Diederik P. Kingma
  3. Zachary Teed
  4. Jiaming Song
  5. Jia Deng
  6. Yang Song
  7. Geoffrey E. Hinton

Papers from Zhen Han's perspective

Ordered by how strongly the researchers Zhen Han 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: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers