Ji Li

Artificial Intelligence · with Li · 2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Natural Language Processing — 22 citations into it

Whom Ji Li trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Yoshua Bengio

Papers from Ji Li's perspective

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

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

Their papers

• Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning (2020) — 67 citations
• FTRANS: energy-efficient acceleration of transformers using FPGA (2020) — 231 citations