Junlan Feng

Artificial Intelligence · with Chen · 2022

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Junlan Feng trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)

Papers from Junlan Feng's perspective

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

  1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  2. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  3. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  4. Deep Sparse Rectifier Neural Networks
  5. Focal Loss for Dense Object Detection
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. ImageNet classification with deep convolutional neural networks
  8. A Hybrid DSP/Deep Learning Approach to Real-Time Full-Band Speech Enhancement
  9. Long Short-Term Memory
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers