Lipo Wang

Artificial Intelligence · 2000–2020

A researcher in the Science corpus: 10 papers; trusts 228 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Lipo Wang trusts overall

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

  1. Robert Tibshirani
  2. Trevor J. Hastie
  3. Geoffrey E. Hinton
  4. Chih-Wei Hsu
  5. Vladimir Naumovich Vapnik
  6. Kaiming He
  7. Alex Krizhevsky
  8. Yoshua Bengio
  9. Burkhard Rost
  10. Yann LeCun

Who trusts Lipo Wang overall

  1. Masao Kitano
  2. M. L. N. L. Nelson Sanchez-Pinto
  3. R. W. Boyd
  4. Satya Prakash Singh
  5. Bahareh Pourbabaee
  6. Toshihiro Nakanishi
  7. Christophe Caloz
  8. MS Laura Ruth Venable
  9. Lahiru Jayasinghe
  10. Kazuhiko Sugiyama

Papers from Lipo Wang's perspective

Ordered by how strongly the researchers Lipo Wang 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. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers