Qingyun Wu

Artificial Intelligence · 2016–2023

A researcher in the Science corpus: 6 papers; trusts 42 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Qingyun Wu trusts overall

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

  1. Peter Auer
  2. Lihong Li
  3. Steffen Rendle
  4. Nicolò Cesa-Bianchi
  5. Atsuyoshi Nakamura
  6. Yehuda Koren
  7. Wei Chu
  8. Deepak K. Agarwal
  9. J. Langford
  10. André Uschmajew

Who trusts Qingyun Wu overall

  1. Guanjie Zheng
  2. Guanya Shi
  3. Chongming Gao
  4. Wenqiang Lei
  5. Fuzheng Zhang
  6. Xiangnan He
  7. D. Głowacka
  8. Kamyar Azizzadenesheli
  9. Zihan Zheng
  10. Yushi Hu

Papers from Qingyun Wu's perspective

Ordered by how strongly the researchers Qingyun Wu 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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers