Xianzhi Wang

IEEE Transactions on Neural Networks and Learning Systems · with Chang · 2020

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Xianzhi Wang trusts overall

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

  1. Ronald J. Williams
  2. Hugo Larochelle

Papers from Xianzhi Wang's perspective

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

  1. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  2. Recurrent Models of Visual Attention
  3. End-to-end attention-based large vocabulary speech recognition
  4. Learning to combine foveal glimpses with a third-order Boltzmann machine
  5. Gradient-based learning applied to document recognition
  6. Introducing a New Benchmarked Dataset for Activity Monitoring
  7. ImageNet classification with deep convolutional neural networks
  8. Deep Convolutional Neural Networks on Multichannel Time Series for Human Activity Recognition (International Joint Conference on Artificial Intelligence)
  9. PD Disease State Assessment in Naturalistic Environments Using Deep Learning
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers