Meng Qu

Artificial Intelligence · 2015–2022

A researcher in the Science corpus: 9 papers; trusts 154 researchers and is trusted by 70 researchers here, as inferred from the citation graph.

Subfields

Whom Meng Qu trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Radford M. Neal
  5. Tomas Mikolov
  6. Ruslan Salakhutdinov
  7. Ilya Sutskever
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Max Welling

Who trusts Meng Qu overall

  1. Yuxiao Dong
  2. Aleksandar Bojchevski
  3. William L. Hamilton
  4. Zhou Zhao
  5. Bryan Perozzi
  6. Chen Cai
  7. Shirui Pan
  8. Masanao Ochi
  9. Vincent Wenchen Zheng
  10. Peng Cui

Papers from Meng Qu's perspective

Ordered by how strongly the researchers Meng Qu 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. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers