Chao Pang

IEEE Geoscience and Remote Sensing Letters · with Liu · 2019

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

Whom Chao Pang trusts overall

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

  1. Diederik P. Kingma
  2. Jia Liu

Who trusts Chao Pang overall

  1. Wele Gedara Chaminda Bandara
  2. Zipeng Qi

Papers from Chao Pang's perspective

Ordered by how strongly the researchers Chao Pang 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. Automatic differentiation in PyTorch
  3. Focal Loss for Dense Object Detection
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. ImageNet classification with deep convolutional neural networks
  7. A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images (IEEE Transactions on Neural Networks and Learning Systems)
  8. Going deeper with convolutions
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers