Xiaoling Huang

Artificial Intelligence · 2012–2019

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaoling Huang trusts overall

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

  1. Yoon Kim
  2. Sepp Hochreiter
  3. H. Brendan McMahan
  4. Yoshua Bengio
  5. Geoffrey E. Hinton
  6. J. Urgen Schmidhuber
  7. Jeffrey Pennington
  8. Kyunghyun Cho

Papers from Xiaoling Huang's perspective

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

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  8. ImageNet: A large-scale hierarchical image database
  9. GloVe: Global Vectors for Word Representation
  10. Learning Multiple Layers of Features from Tiny Images

Their papers