Ming Yan

Artificial Intelligence · ACM Multimedia · 2010–2023

A researcher in the Science corpus: 32 papers; trusts 1,111 researchers and is trusted by 59 researchers here, as inferred from the citation graph.

Subfields

Whom Ming Yan trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Ross B. Girshick
  8. Laurent Condat
  9. Yann LeCun
  10. Jacob Devlin

Who trusts Ming Yan overall

  1. Laurent Condat
  2. Zhi Li
  3. Adil Salim
  4. Wotao Yin
  5. Hanlin Tang
  6. Wei Deng
  7. Ernest K. Ryu
  8. S. Chraibi
  9. Daichi Kitahara
  10. Chenliang Li

Papers from Ming Yan's perspective

Ordered by how strongly the researchers Ming Yan 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers