Cheng Yu

Signal Processing · with Lu · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Cheng Yu trusts overall

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

  1. Szu-Wei Fu
  2. Deliang Wang
  3. Cassia Valentini-Botinhao

Papers from Cheng Yu's perspective

Ordered by how strongly the researchers Cheng Yu 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. WaveNet: A Generative Model for Raw Audio
  6. Human-level control through deep reinforcement learning
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Intriguing properties of neural networks
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Gradient-based learning applied to document recognition

Their papers