Zhiqiang Shang

Civil and Structural Engineering · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhiqiang Shang trusts overall

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

  1. Pedro M. Domingos
  2. Lawrence Cayton
  3. Hoon Sohn
  4. M. Rafiei
  5. Cristóbal Esteban
  6. Martin Längkvist
  7. Hong-wei Huang
  8. Charles R. Farrar
  9. Young-Jin Cha
  10. Osama Abdeljaber

Papers from Zhiqiang Shang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Damage diagnosis using time series analysis of vibration signals
  3. Gradient-based learning applied to document recognition
  4. Autonomous Structural Visual Inspection Using Region‐Based Deep Learning for Detecting Multiple Damage Types (Comput. Aided Civ. Infrastructure Eng.)
  5. A review of unsupervised feature learning and deep learning for time-series modeling
  6. Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks
  7. Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs
  8. Algorithms for manifold learning
  9. A few useful things to know about machine learning
  10. A recurrent neural network based health indicator for remaining useful life prediction of bearings (Neurocomputing)

Their papers