Qingchao Jiang

Control and Systems Engineering · 2013–2016

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Qingchao Jiang trusts overall

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

  1. Jong-Min Lee
  2. S. Qin
  3. Mark A. Kramer
  4. Emanuel Parzen
  5. Bernhard Schölkopf
  6. Leo H. Chiang
  7. In-Beum Lee
  8. Alex Smola
  9. K. Müller
  10. Richard D. Braatz

Who trusts Qingchao Jiang overall

  1. Zhiqiang Ge
  2. Zhihuan Song
  3. Steven X. Ding

Papers from Qingchao Jiang's perspective

Ordered by how strongly the researchers Qingchao Jiang 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. Learning Multiple Layers of Features from Tiny Images
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers