Shuang‐Jie Tan

Electrical and Electronic Engineering · 2018–2021

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shuang‐Jie Tan trusts overall

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

  1. Wei David Liu
  2. Dingchang Lin
  3. Kang Xu
  4. Zhengyuan Tu
  5. Chen‐Zi Zhao
  6. Jean-Marie Tarascon
  7. B. Scrosati
  8. Ya‐Xia Yin
  9. A. Stephan
  10. Arumugam Manthiram

Papers from Shuang‐Jie Tan's perspective

Ordered by how strongly the researchers Shuang‐Jie Tan 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. Gradient-based learning applied to document recognition
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. High Ionic Conductivity of Composite Solid Polymer Electrolyte via In Situ Synthesis of Monodispersed SiO2 Nanospheres in Poly(ethylene oxide). (Nano letters (Print))
  7. Long Short-Term Memory
  8. Going deeper with convolutions
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers