Jiaqi Wang

Artificial Intelligence · European Conference on Computer Vision · 2023–2025

A researcher in the Science corpus: 8 papers; trusts 308 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jiaqi Wang trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Ilya Sutskever
  5. Tsung-Yi Lin
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Alex Graves
  9. Ross B. Girshick
  10. Alec Radford

Papers from Jiaqi Wang's perspective

Ordered by how strongly the researchers Jiaqi Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Microsoft COCO: Common Objects in Context
  10. Gradient-based learning applied to document recognition

Their papers