Xin Hu

Signal Processing · with Shin · 2008–2013

A researcher in the Science corpus: 3 papers; trusts 22 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Xin Hu trusts overall

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

  1. Mihai Christodorescu
  2. Christopher Krügel
  3. Konrad Rieck
  4. J. Kolter
  5. Aristides Gionis
  6. Jiyong Jang
  7. Xifeng Yan
  8. Ana L. N. Fred
  9. Michael Bailey
  10. Vladimir Naumovich Vapnik

Who trusts Xin Hu overall

  1. Roberto Perdisci
  2. Sebastian Eschweiler
  3. Konrad Rieck
  4. Battista Biggio
  5. Hugo Gascón
  6. ManChon U
  7. Ulrich Flegel
  8. Justin Sahs
  9. Khaled Yakdan
  10. Fabian Yamaguchi

Papers from Xin Hu's perspective

Ordered by how strongly the researchers Xin Hu 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Learning Multiple Layers of Features from Tiny Images
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. ImageNet: A large-scale hierarchical image database
  10. Static Analysis of Executables to Detect Malicious Patterns

Their papers