Chenghua Lin

Artificial Intelligence · with Chen · 2012–2018

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chenghua Lin trusts overall

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

  1. Bo Pang
  2. John Blitzer
  3. Simon Lacoste-Julien
  4. Casey Whitelaw
  5. Albert Gatt
  6. Daniel Ramage
  7. Qiaozhu Mei
  8. Mridul Aanjaneya
  9. Michael I. Jordan
  10. Marcel Bollmann

Who trusts Chenghua Lin overall

  1. Sergey I. Nikolenko
  2. Bei Zhao
  3. Sergei Koltcov
  4. Yanfei Zhong

Papers from Chenghua Lin's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers