Jui-Sheng Chou

Artificial Intelligence · 2011–2021

A researcher in the Science corpus: 8 papers; trusts 33 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Jui-Sheng Chou trusts overall

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

  1. I-Cheng Yeh
  2. Albert P. C. Chan
  3. Alex Smola
  4. Ron Kohavi
  5. Vladimir Naumovich Vapni
  6. Leo Breiman
  7. Niko Speybroeck
  8. Vladimir Naumovich Vapnik
  9. Bernhard Schölkopf
  10. Wei-Yin Loh

Who trusts Jui-Sheng Chou overall

  1. M. DeRousseau
  2. Ye Ren
  3. M. Z. Naser
  4. Hoang X. Nguyen
  5. Hadi Salehi
  6. Ali Behnood
  7. Chih-Fong Tsai
  8. A. Pham
  9. Joseph R. Kasprzyk
  10. B. Young

Papers from Jui-Sheng Chou's perspective

Ordered by how strongly the researchers Jui-Sheng Chou 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. Learning Multiple Layers of Features from Tiny Images
  9. GENERATIVE ADVERSARIAL NETS
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers