Wan-Ting Shih

Computational Mechanics · 2017

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Wan-Ting Shih trusts overall

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

  1. Xiongbin Rao
  2. David L. Donoho
  3. Kaiming He
  4. Ingrid Daubechies
  5. Arian Maleki
  6. Christopher A. Metzler
  7. Ping-Heng Kuo
  8. Junil Choi
  9. Hantao Yao
  10. Tianqi Wang

Who trusts Wan-Ting Shih overall

  1. Osvaldo Simeone
  2. Ahmed Alkhateeb
  3. Geoffrey Y. Li
  4. Chao-Kai Wen
  5. Mahmoud A. M. Albreem
  6. Zhijin Qin
  7. Tianqi Wang
  8. Jiajia Guo
  9. Emil Björnson
  10. Peihao Dong

Papers from Wan-Ting Shih's perspective

Ordered by how strongly the researchers Wan-Ting Shih 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. An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Message-passing algorithms for compressed sensing

Their papers