Shengyu Jia

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Shengyu Jia trusts overall

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

  1. Diederik P. Kingma
  2. Mark Yatskar
  3. Jieyu Zhao
  4. Tianlu Wang
  5. Joy Buolamwini
  6. Jimmy Ba
  7. Collin F. Baker
  8. George A. Miller
  9. Kuzman Ganchev
  10. Geoffrey E. Hinton

Who trusts Shengyu Jia overall

  1. Angelina Wang
  2. Melissa Hall
  3. Isabel O. Gallegos
  4. Olga Russakovsky
  5. L. V. D. van der Maaten

Papers from Shengyu Jia's perspective

Ordered by how strongly the researchers Shengyu Jia 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers