Jianshi Tang

Electrical and Electronic Engineering · 2019–2023

A researcher in the Science corpus: 6 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jianshi Tang trusts overall

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

  1. Yann LeCun
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Can Li
  6. Min-Joo Kang
  7. Yoshua Bengio
  8. Peng Yao
  9. L. F. Abbott

Papers from Jianshi Tang's perspective

Ordered by how strongly the researchers Jianshi Tang 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. Learning Multiple Layers of Features from Tiny Images
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Going deeper with convolutions
  9. ImageNet: A large-scale hierarchical image database
  10. Microsoft COCO: Common Objects in Context

Their papers