Hongying Meng

Computer Vision and Pattern Recognition · 2005–2022

A researcher in the Science corpus: 6 papers; trusts 392 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hongying Meng trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Ross B. Girshick
  5. Diederik P. Kingma
  6. Christian Szegedy
  7. Yoshua Bengio
  8. Yann LeCun
  9. Ilya Sutskever
  10. Rob Fergus

Who trusts Hongying Meng overall

  1. Shiliang Sun
  2. Bhavana Dalvi
  3. Saeid Motiian

Papers from Hongying Meng's perspective

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

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

Their papers