Huamin Qu

Artificial Intelligence · 2008–2019

A researcher in the Science corpus: 8 papers; trusts 77 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Huamin Qu trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Bernard Walter Silverman
  4. Kaiming He
  5. Tom Fawcett
  6. Marco Tulio Ribeiro
  7. Ilya Sutskever
  8. Alex Krizhevsky
  9. Diederik P. Kingma
  10. Yann LeCun

Who trusts Huamin Qu overall

  1. Shixia Liu
  2. Cynthia Rudin
  3. Yongsu Ahn
  4. Guodao Sun
  5. Mengchen Liu
  6. Christoph Molnar
  7. Oscar Gomez
  8. Fred Hohman
  9. Kangcheng Lin
  10. James Wexler

Papers from Huamin Qu's perspective

Ordered by how strongly the researchers Huamin Qu 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers