Vincent Wan

Artificial Intelligence · 2012–2019

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Vincent Wan trusts overall

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

  1. Heiga Zen
  2. Diederik P. Kingma
  3. Aäron van den Oord
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Alex Graves
  7. Max Welling
  8. Alex Krizhevsky
  9. Alan W. Black
  10. Oriol Vinyals

Who trusts Vincent Wan overall

  1. Chung-Ming Chien
  2. Zhaoxi Mu
  3. Tom Kenter
  4. Xu Tan
  5. Hung-yi Lee
  6. Jonathan Shen
  7. Xinyu Yang
  8. Manish Sharma
  9. Tao Qin

Papers from Vincent Wan's perspective

Ordered by how strongly the researchers Vincent Wan 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers