Daniel Shu Wei Ting

Radiology, Nuclear Medicine and Imaging · 2016–2022

A researcher in the Science corpus: 10 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Shu Wei Ting trusts overall

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

  1. Geoffrey E. Hinton
  2. Rishab Gargeya
  3. Michael David Abràmoff
  4. Philippe M. Burlina
  5. Barbara E. Klein
  6. Yann LeCun
  7. Yoshua Bengio
  8. Varun Gulshan
  9. Alex Krizhevsky
  10. Tien Yin Wong

Papers from Daniel Shu Wei Ting's perspective

Ordered by how strongly the researchers Daniel Shu Wei Ting 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers