Yeongjun Lee

Advances in Materials · 2018–2019

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

Papers from Yeongjun Lee's perspective

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

  1. Principles of Neural Science, 4th ed.
  2. The organization of behavior: A neuropsychological theory
  3. Neuronal Dynamics: From Single Neurons To Networks And Models Of Cognition
  4. Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynaptic Cell Type
  5. Gradient-based learning applied to document recognition
  6. Deep Learning
  7. ImageNet classification with deep convolutional neural networks
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Long Short-Term Memory

Their papers