Bingqing Qu

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 Bingqing Qu trusts overall

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

  1. Dingqi Yang
  2. Salvatore Scellato
  3. Jianhua Lin
  4. Ulrike von Luxburg
  5. Anastasios Noulas
  6. Daqing Zhang
  7. Aditya Grover
  8. Linyuan Lu
  9. Bryan Perozzi
  10. Gordon V. Cormack

Who trusts Bingqing Qu overall

  1. Dingqi Yang
  2. Luca Melis
  3. Congzheng Song
  4. Massimiliano Luca

Papers from Bingqing Qu's perspective

Ordered by how strongly the researchers Bingqing Qu 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. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. LINE: Large-scale Information Network Embedding
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  10. DeepWalk: online learning of social representations

Their papers