Jing-jing Chen

Signal Processing · 2020

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jing-jing Chen trusts overall

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

  1. Yi Luo
  2. Zhuo Chen
  3. Diederik P. Kingma
  4. Nima Mesgarani
  5. John R. Hershey
  6. Mikkel N. Schmidt
  7. Neil Zeghidour
  8. Dong Yu
  9. Jimmy Ba
  10. Jonathan Le Roux

Who trusts Jing-jing Chen overall

  1. Cem Subakan
  2. Sanyuan Chen
  3. Mirco Ravanelli
  4. Yu Wu

Papers from Jing-jing Chen's perspective

Ordered by how strongly the researchers Jing-jing Chen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. ImageNet classification with deep convolutional neural networks
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Sequence to Sequence Learning with Neural Networks (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