Junzhi Zhai

Structural Control & Health Monitoring · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Junzhi Zhai trusts

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

  1. Diederik P. Kingma (in Artificial Intelligence)
  2. Jimmy Ba (in Artificial Intelligence)

Papers from Junzhi Zhai's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Convolutional Neural Networks with transfer learning for computer vision-based data-driven pavement distress detection
  3. DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection (IEEE Transactions on Image Processing)
  4. Automated Pixel‐Level Pavement Crack Detection on 3D Asphalt Surfaces Using a Deep‐Learning Network (Comput. Aided Civ. Infrastructure Eng.)
  5. Holistically-Nested Edge Detection
  6. Encoder–decoder network for pixel‐level road crack detection in black‐box images (Comput. Aided Civ. Infrastructure Eng.)
  7. Automatic recognition of asphalt pavement cracks using metaheuristic optimized edge detection algorithms and convolution neural network (Automation in Construction)
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Going deeper with convolutions
  10. Gradient-based learning applied to document recognition

Their papers