Dacheng Yin

Signal Processing · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dacheng Yin trusts overall

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

  1. Arun Narayanan
  2. Yuxuan Wang
  3. Adrian La'ncucki
  4. Deliang Wang
  5. Yi Luo
  6. Geoffrey E. Hinton
  7. Santiago Pascual
  8. Donald S. Williamson
  9. Dario Rethage
  10. Yuzi Yan

Who trusts Dacheng Yin overall

  1. Sefik Emre Eskimez
  2. Hyeong-Seok Choi
  3. Yuichiro Koyama
  4. Zhijun Liu
  5. Chengyu Zheng
  6. Chen Zhang
  7. Yiwei Guo
  8. Chenpeng Du
  9. Kai Shen
  10. Hoon Heo

Papers from Dacheng Yin's perspective

Ordered by how strongly the researchers Dacheng Yin 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. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. GENERATIVE ADVERSARIAL NETS

Their papers