Wenzhi Liao

Media Technology · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wenzhi Liao trusts overall

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

  1. Lorenzo Bruzzone
  2. José M. Bioucas-Dias
  3. Chein-I. Chang
  4. Antonio J. Plaza
  5. Jon Atli Benediktsson

Papers from Wenzhi Liao's perspective

Ordered by how strongly the researchers Wenzhi Liao trusts endorse each paper. Same corpus, a different order for every researcher.

  1. This PDF file includes: Materials and Methods
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Going deeper with convolutions
  7. Long Short-Term Memory
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Gradient-based learning applied to document recognition
  10. A wavelet tour of signal processing

Their papers