Shangshu Qian

2021

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Shangshu Qian trusts overall

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

  1. Jesper B. Sørensen
  2. Toon Calders
  3. Jieyu Zhao
  4. Tianlu Wang
  5. A. Bedeian
  6. Brian Hu Zhang
  7. Mohsan S. Alvi
  8. Toshihiro Kamishima
  9. Alex Krizhevsky
  10. Muhammad Bilal Zafar

Papers from Shangshu Qian's perspective

Ordered by how strongly the researchers Shangshu Qian 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers