Wei Tang

Artificial Intelligence · with Dhillon · 2009

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Tang trusts overall

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

  1. Jianbo Shi
  2. Alexander Strehl
  3. Ajit Paul Singh
  4. Jason V. Davis
  5. Jitendra Malik
  6. Geoffrey J. Gordon
  7. Joydeep Ghosh
  8. Yehuda Koren
  9. Alex Smola
  10. Brian Kulis

Who trusts Wei Tang overall

  1. Changqing Zhang
  2. Abhishek Kumar
  3. Xiaochun Cao
  4. Huan Fu
  5. Marinka Zitnik
  6. Yiye Ruan
  7. Hal Daumé Iii
  8. Yujun Yan
  9. Qinghua Hu
  10. Blaz Zupan

Papers from Wei Tang's perspective

Ordered by how strongly the researchers Wei Tang 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers