Jun Chen

Signal Processing · with Kang · 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 Jun Chen trusts overall

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

  1. Deliang Wang
  2. Yi Luo
  3. Ashutosh Pandey
  4. Dario Rethage
  5. Yong Xu
  6. Xiang Hao
  7. Jitong Chen
  8. Nima Mesgarani
  9. Yanxin Hu
  10. Chandan K. A. Reddy

Who trusts Jun Chen overall

  1. Dongchao Yang

Papers from Jun Chen's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. A Regression Approach to Speech Enhancement Based on Deep Neural Networks
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Gradient-based learning applied to document recognition
  10. Complex Ratio Masking for Monaural Speech Separation

Their papers