Dingqi Yang

Artificial Intelligence · 2015–2019

A researcher in the Science corpus: 4 papers; trusts 17 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Dingqi Yang trusts overall

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

  1. Ulrike von Luxburg
  2. Jianhua Lin
  3. Anastasios Noulas
  4. Salvatore Scellato
  5. Daqing Zhang
  6. Aaron Clauset
  7. Aditya Grover
  8. Zhiyuan Cheng
  9. Linyuan Lu
  10. Michael Grant

Who trusts Dingqi Yang overall

  1. Luca Melis
  2. Congzheng Song
  3. Bingqing Qu
  4. Maria Rigaki
  5. Takao Murakami
  6. Daqing Zhang
  7. Reza Shokri
  8. Vitaly Shmatikov
  9. Emiliano De Cristofaro
  10. Massimiliano Luca

Papers from Dingqi Yang's perspective

Ordered by how strongly the researchers Dingqi Yang 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. 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. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  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