Cong Ma

Artificial Intelligence · with Chen · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 37 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Cong Ma trusts overall

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

  1. E.J. Candes
  2. B. Recht
  3. Yuxin Chen
  4. Noureddine El Karoui
  5. Joel A. Tropp
  6. M. Soltanolkotabi
  7. Ruoyu Sun
  8. Geoffrey E. Hinton
  9. Yudong Chen
  10. Richard S. Sutton

Who trusts Cong Ma overall

  1. Yuejie Chi
  2. Navid Azizan
  3. Yuxin Chen
  4. Yue M. Lu
  5. Pinhan Chen
  6. Lili Su
  7. Colin Wei
  8. Babak Hassibi
  9. Sahin Lale
  10. Heejong Bong

Papers from Cong Ma's perspective

Ordered by how strongly the researchers Cong Ma 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers