Qingqing Long

Building and Construction · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qingqing Long trusts overall

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

  1. Billy M. Williams
  2. Junbo Zhang
  3. Chao Song
  4. T. Chen
  5. Youngseon Jeong
  6. Moustapha Cissé
  7. Kaiming He

Who trusts Qingqing Long overall

  1. Jeongwhan Choi

Papers from Qingqing Long's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Long Short-Term Memory
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet: A large-scale hierarchical image database

Their papers