Yanxin Hu

Signal Processing · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yanxin Hu trusts overall

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

  1. Kaiming He
  2. Deliang Wang
  3. Yi Luo
  4. Yong Xu
  5. David Snyder
  6. Shaojie Bai
  7. Yuxuan Wang
  8. Geoffrey E. Hinton
  9. X. Zhang
  10. Yoshua Bengio

Who trusts Yanxin Hu overall

  1. Sefik Emre Eskimez
  2. Rongzhi Gu
  3. Shengkui Zhao
  4. Xiang Hao
  5. Jun Chen
  6. Jian Wu
  7. Zhuo Chen
  8. Xiaofei Wang
  9. Takuya Yoshioka

Papers from Yanxin Hu's perspective

Ordered by how strongly the researchers Yanxin Hu 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers