Shiqi Shen

Artificial Intelligence · with Saxena · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Shiqi Shen trusts overall

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

  1. J. Urgen Schmidhuber
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Yann LeCun
  5. L. Eon Bottou
  6. David E. Rumelhart
  7. Richard Socher
  8. Alex Krizhevsky
  9. Ilya Sutskever
  10. Tomas Mikolov

Who trusts Shiqi Shen overall

  1. Clement Fung
  2. Chien-Lun Chen
  3. Moran Baruch
  4. Muhammad Shayan
  5. Xiaoyu Cao
  6. Zhiyi Tian
  7. Aidmar Wainakh
  8. T. D. Nguyen
  9. Kathrin Grosse
  10. Yinzhi Cao

Papers from Shiqi Shen's perspective

Ordered by how strongly the researchers Shiqi Shen 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers