Zhan Shi

Artificial Intelligence · with Cranko · 2018

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

Subfields

Whom Zhan Shi trusts overall

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

  1. Takeru Miyato
  2. Yuichi Yoshida

Papers from Zhan Shi's perspective

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

  1. Intriguing properties of neural networks
  2. Explaining and Harnessing Adversarial Examples
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Towards Deep Learning Models Resistant to Adversarial Attacks
  6. Spectral Normalization for Generative Adversarial Networks
  7. Learning Multiple Layers of Features from Tiny Images
  8. Spectrally-normalized margin bounds for neural networks
  9. Parseval Networks: Improving Robustness to Adversarial Examples
  10. Gradient-based learning applied to document recognition

Their papers