Jiong Jin

Artificial Intelligence · 2014–2020

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Jiong Jin trusts overall

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

  1. Mosharaf Chowdhury
  2. Leo Breiman
  3. Raouf Boutaba
  4. Yann LeCun
  5. Pedro M. Domingos
  6. Geoffrey E. Hinton
  7. Aleksandar Lazarevic
  8. João Gama
  9. Albert Bifet

Who trusts Jiong Jin overall

  1. Abhishek Khanna
  2. Sanmeet Kaur

Papers from Jiong Jin's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Large Scale Distributed Deep Networks
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  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. ImageNet: A large-scale hierarchical image database

Their papers