Yi Shang

Computer Vision and Pattern Recognition · ACM Interational Symposium on Mobile Ad Hoc Networking and Computing · 2003–2021

A researcher in the Science corpus: 5 papers; trusts 45 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

Whom Yi Shang trusts overall

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

  1. Andreas Savvides
  2. Jeffrey Hightower
  3. Lance Doherty
  4. Mani B. Srivastava
  5. Heemin Park
  6. I. Borg
  7. Wheeler Ruml
  8. Asis Nasipuri
  9. Gaetano Borriello
  10. Chalermek Intanagonwiwat

Who trusts Yi Shang overall

  1. Pratik K. Biswas
  2. Guoqiang Mao
  3. Zheng Yang
  4. Chenshu Wu
  5. Neal Patwari
  6. Yunhao Liu
  7. Amitangshu Pal
  8. Rainer Mautz
  9. Guangjie Han
  10. Wheeler Ruml

Papers from Yi Shang's perspective

Ordered by how strongly the researchers Yi Shang 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers