Ming Ding

Artificial Intelligence · Neural Information Processing Systems · 2015–2024

A researcher in the Science corpus: 47 papers; trusts 2,158 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Ming Ding trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Yann LeCun
  9. Karen Simonyan
  10. Jimmy Ba

Who trusts Ming Ding overall

  1. Yongqiang Zhang
  2. Dinh C. Nguyen
  3. Xiao Liu
  4. Xu Han
  5. Yancheng Bai
  6. Wenyi Hong
  7. Hu Ye
  8. Shirui Pan
  9. Jing Yu Koh
  10. Ali Borji

Papers from Ming Ding's perspective

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

Their papers