Jin Zhao

Nature Machine Intelligence · 2019–2020

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Jin Zhao trusts overall

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

  1. Steffen Rendle

Who trusts Jin Zhao overall

  1. Shuai Zhao

Papers from Jin Zhao's perspective

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

  1. Factorization Machines
  2. An ultrafast rechargeable aluminium-ion battery (Nature)
  3. A Novel Aluminum‐Ion Battery: Al/AlCl3‐[EMIm]Cl/Ni3S2@Graphene
  4. “Water-in-salt” electrolyte enables high-voltage aqueous lithium-ion chemistries (Science)
  5. Ultimate limits to intercalation reactions for lithium batteries. (Chemical Reviews)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. ImageNet classification with deep convolutional neural networks
  8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers