Rongzhi Gu

Signal Processing · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rongzhi Gu trusts overall

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

  1. Boaz Rafaely
  2. John R. Hershey
  3. Olaf Ronneberger
  4. Dong Yu
  5. Yanxin Hu
  6. Jonathan Le Roux
  7. Zhuo Chen
  8. Shinji Watanabe
  9. Philipp Fischer
  10. Geoffrey E. Hinton

Papers from Rongzhi Gu's perspective

Ordered by how strongly the researchers Rongzhi Gu 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Densely Connected Convolutional Networks
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers