Qi Meng

Artificial Intelligence · with Liu · 2016–2021

A researcher in the Science corpus: 7 papers; trusts 121 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Qi Meng trusts overall

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

  1. L. Eon Bottou
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Yurii E. Nesterov
  5. Diederik P. Kingma
  6. Yann LeCun
  7. Rie Johnson
  8. Yoshua Bengio
  9. Kaiming He
  10. Chih-Jen Lin

Who trusts Qi Meng overall

  1. Lingxiao Huang
  2. Fengxiang He
  3. Alexander Rakhlin
  4. Nisheeth K. Vishnoi
  5. Tongliang Liu
  6. Qinbin Li
  7. Ibomoiye Domor Mienye
  8. Ravid Shwartz-Ziv
  9. Luke Merrick
  10. Atsushi Nitanda

Papers from Qi Meng's perspective

Ordered by how strongly the researchers Qi 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. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  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