Jun Li

Artificial Intelligence · IEEE Internet of Things Journal · 2017–2021

A researcher in the Science corpus: 10 papers; trusts 215 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Li trusts overall

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

  1. Alex Krizhevsky
  2. Hilde Kuehne
  3. Yann LeCun
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Geoffrey E. Hinton
  7. Karen Simonyan
  8. Ronan Collobert
  9. Alexander Richard
  10. Kaiming He

Who trusts Jun Li overall

  1. Francesco Tonin
  2. Dinh C. Nguyen
  3. Weiyang Liu
  4. Lei Huang
  5. Zechun Liu
  6. Arun Pandey
  7. Jiawen Kang
  8. Rongmei Lin
  9. Jie Qin
  10. Haftay Gebreslasie Abreha

Papers from Jun Li's perspective

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

Their papers