Miin-Shen Yang

Artificial Intelligence · 2002–2020

A researcher in the Science corpus: 5 papers; trusts 19 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Miin-Shen Yang trusts overall

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

  1. Anil K. Jain
  2. Geoffrey J. McLachlan
  3. Kuo-Lung Wu
  4. Mário A. T. Figueiredo
  5. Robert Tibshirani
  6. Peter J. Rousseeuw
  7. H. Mitchell
  8. Gilles Celeux
  9. Juan Antonio Cuesta-Albertos
  10. Robert E. Kass

Who trusts Miin-Shen Yang overall

  1. Zeshui Xu
  2. Kristina P. Sinaga
  3. Jun Ye
  4. Songcan Chen
  5. Daoqiang Zhang
  6. Huchang Liao
  7. Witold Pedrycz
  8. Meimei Xia
  9. Lukas Budach
  10. Daoqiang Zhang

Papers from Miin-Shen Yang's perspective

Ordered by how strongly the researchers Miin-Shen Yang 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. Some methods for classification and analysis of multivariate observations
  3. Algorithms for Clustering Data
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet classification with deep convolutional neural networks
  7. Going deeper with convolutions
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers