Nan Wang

Artificial Intelligence · with Li · 2011–2021

A researcher in the Science corpus: 7 papers; trusts 59 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Nan Wang trusts overall

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

  1. Steffen Rendle
  2. Ruslan Salakhutdinov
  3. Yehuda Koren
  4. Julian McAuley
  5. Andrew C. Gallagher
  6. Theodoros Evgeniou
  7. Geoffrey E. Hinton
  8. John C. Duchi
  9. Yi Yang
  10. Badrul Munir Sarwar

Who trusts Nan Wang overall

  1. Yongfeng Zhang
  2. Xu Chen
  3. Sirion Vittayakorn
  4. Nataraj Jammalamadaka
  5. Kota Yamaguchi
  6. Hanxiong Chen
  7. Qingyao Ai
  8. Yiyi Tao
  9. Xiaodan Liang
  10. Chenliang Li

Papers from Nan Wang's perspective

Ordered by how strongly the researchers Nan 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. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  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. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers