Po-Wei Wang

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Po-Wei Wang trusts overall

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

  1. Paul Tseng
  2. Zhi-Quan Tom Luo
  3. Shai Shalev-Shwartz
  4. Chih-Jen Lin
  5. Yann LeCun
  6. Yurii E. Nesterov
  7. Brandon Amos
  8. Simon S. Haykin
  9. Cho-Jui Hsieh
  10. Yoshua Bengio

Who trusts Po-Wei Wang overall

  1. Ion Necoara
  2. Ji Liu
  3. Ching-pei Lee
  4. Simon Lacoste-Julien
  5. Chenxin Ma
  6. Dhruv Kumar Mahajan
  7. Stephen J. Wright
  8. Yurii E. Nesterov
  9. Martin Jaggi
  10. Kai-Wei Chang

Papers from Po-Wei Wang's perspective

Ordered by how strongly the researchers Po-Wei Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers