Meng Li

Computer Vision and Pattern Recognition · Applied Energy · 2013–2020

A researcher in the Science corpus: 6 papers; trusts 76 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Meng Li trusts overall

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

  1. Mudar A. Al-Joumayly
  2. Heliang Zheng
  3. Kaiming He
  4. Jianlong Fu
  5. Evan Shelhamer
  6. Nader Behdad
  7. Alex Krizhevsky
  8. Geoffrey E. Hinton
  9. Karen Simonyan
  10. Ross B. Girshick

Who trusts Meng Li overall

  1. Seyed Mohamad Amin Momeni Hasan Abadi
  2. Nader Behdad
  3. Yong Zeng

Papers from Meng Li's perspective

Ordered by how strongly the researchers Meng Li 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. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. ImageNet Large Scale Visual Recognition Challenge
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Long Short-Term Memory

Their papers