KangKang Yin

Computer Vision and Pattern Recognition · 2007–2017

A researcher in the Science corpus: 3 papers; trusts 22 researchers and is trusted by 67 researchers here, as inferred from the citation graph.

Subfields

Whom KangKang Yin trusts overall

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

  1. Sergey Levine
  2. Jessica K. Hodgins
  3. Victor B. Zordan
  4. Russ Tedrake
  5. Petros Faloutsos
  6. Jun Nakanishi
  7. Geoffrey E. Hinton
  8. Richard S. Sutton
  9. Hado van Hasselt
  10. Michiel van de Panne

Who trusts KangKang Yin overall

  1. Sergey Levine
  2. Xue Bin Peng
  3. Vladlen Koltun
  4. Ye Yuan
  5. Ashish Kumar
  6. Ananye Agarwal
  7. Jia-Chi Wu
  8. Wenhao Yu
  9. Twan Koolen
  10. Pieter Abbeel

Papers from KangKang Yin's perspective

Ordered by how strongly the researchers KangKang Yin 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Asynchronous Methods for Deep Reinforcement Learning

Their papers