Hsin-Chien Huang

Artificial Intelligence · 2012

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hsin-Chien Huang trusts overall

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

  1. Mark A. Girolami
  2. Francesco Camastra
  3. Gert R. G. Lanckriet
  4. Daniel Graves
  5. Francis R. Bach
  6. Timo Ojala
  7. Michael I. Jordan
  8. Shigeo Abe
  9. Alessandro Verri
  10. Witold Pedrycz

Papers from Hsin-Chien Huang's perspective

Ordered by how strongly the researchers Hsin-Chien Huang 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. The Nature of Statistical Learning Theory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers