Jianshu Ji

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 72 citations into it
• Natural Language Processing — 69 citations into it

Whom Jianshu Ji trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Jimmy Ba
5. Xiaodong Liu
6. Ilya Sutskever
7. Sepp Hochreiter
8. Alec Radford
9. Alex Krizhevsky
10. Yann LeCun

Papers from Jianshu Ji's perspective

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

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

Their papers

• K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters (2020) — 629 citations
• The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding (2020) — 62 citations