Hyungchul Kang

Artificial Intelligence · 2021

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 Hyungchul Kang trusts overall

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

  1. Alex Krizhevsky
  2. Craig Gentry
  3. Anders Lisdorf
  4. Jung Hee Cheon
  5. Kaiming He
  6. Junfeng Fan

Papers from Hyungchul Kang's perspective

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

  1. Learning Multiple Layers of Features from Tiny Images
  2. Fully homomorphic encryption using ideal lattices
  3. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Somewhat Practical Fully Homomorphic Encryption
  7. Gradient-based learning applied to document recognition
  8. Gazelle: A Low Latency Framework for Secure Neural Network Inference
  9. Bootstrapping for Approximate Homomorphic Encryption (IACR Cryptology ePrint Archive)
  10. CryptoDL: Deep Neural Networks over Encrypted Data

Their papers