Chenping Hou

Artificial Intelligence · 2014–2016

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Chenping Hou trusts overall

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

  1. Martin A. Zinkevich
  2. Huan Liu
  3. Feiping Nie
  4. Zheng Zhao
  5. Sam T. Roweis
  6. Xiaofei He
  7. Mikhail Belkin
  8. Deng Cai
  9. Shai Shalev-Shwartz
  10. Partha Niyogi

Who trusts Chenping Hou overall

  1. Zhi-Hua Zhou
  2. Marinka Zitnik
  3. Feiping Nie
  4. Jingwen Ye
  5. Marcus Chen
  6. Ya Li
  7. Bo-Jian Hou
  8. Jie Gui
  9. Jure Leskovec
  10. Han-Jia Ye

Papers from Chenping Hou's perspective

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

Their papers