Gang Luo

IEEE Transactions on Biomedical Engineering · with Chutatape · 2002

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 10 researchers here, as inferred from the citation graph.

Whom Gang Luo trusts overall

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

  1. John F. Canny

Who trusts Gang Luo overall

  1. Muhammad Moazam Fraz
  2. N. Patton
  3. Mohammed Sadeq Al-Rawi
  4. Paolo Remagnino
  5. George Azzopardi
  6. João V. B. Soares
  7. Joes Staal
  8. Tariq Mehmood Aslam
  9. Andreas Hoppe
  10. Sarah Ann Barman

Papers from Gang Luo's perspective

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

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

Their papers