Y. Qian

Computer Vision and Pattern Recognition · IEEE Transactions on Geoscience and Remote Sensing · 2009–2020

A researcher in the Science corpus: 4 papers; trusts 111 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Y. Qian trusts overall

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

  1. Patrik O. Hoyer
  2. José M. Bioucas-Dias
  3. Daniel D. Lee
  4. Jose M. P. Nascimento
  5. Robert Tibshirani
  6. Yurii E. Nesterov
  7. Francis R. Bach
  8. Jun Liu
  9. Paul Tseng
  10. Stephen J. Wright

Who trusts Y. Qian overall

  1. José M. Bioucas-Dias
  2. Sen Jia
  3. Jingxiang Yang
  4. Marian-Daniel Iordache
  5. Lin He
  6. Xiaoqiang Lu
  7. Antonio J. Plaza
  8. Anyong Qin
  9. Wing-Kin Ma
  10. Nicolas Gillis

Papers from Y. Qian's perspective

Ordered by how strongly the researchers Y. Qian 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Regression Shrinkage and Selection via the Lasso

Their papers