Jianbing Ni

Artificial Intelligence · 2017–2023

A researcher in the Science corpus: 3 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jianbing Ni trusts overall

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

  1. Dan Boneh
  2. Brent Waters
  3. Pascal Paillier
  4. Amit Sahai
  5. Craig Gentry
  6. Ran Canetti
  7. Allison Bishop
  8. Luis Miguel Vaquero Gonzalez
  9. Amir Vahid Dastjerdi
  10. Mohammad Abdullah Al Faruque

Who trusts Jianbing Ni overall

  1. Vikas Hassija
  2. Zhaolong Ning

Papers from Jianbing Ni's perspective

Ordered by how strongly the researchers Jianbing Ni 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Long Short-Term Memory
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers