Szu-Wei Fu

Signal Processing · 2016–2021

A researcher in the Science corpus: 8 papers; trusts 72 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Szu-Wei Fu trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Jimmy Ba
  4. Kaiming He
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Deliang Wang
  8. Alex Graves
  9. Yong Xu
  10. Sergey Ioffe

Who trusts Szu-Wei Fu overall

  1. Mira Lilleholt Vik
  2. Ke Tan
  3. Deliang Wang
  4. Yu Tsao
  5. Yi Luo
  6. Ziyue Zhao
  7. Pavel Andreev
  8. François G. Germain
  9. Yen-Ju Lu
  10. Bajibabu Bollepalli

Papers from Szu-Wei Fu's perspective

Ordered by how strongly the researchers Szu-Wei Fu 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. GENERATIVE ADVERSARIAL NETS

Their papers