Bingbing Li

Artificial Intelligence · 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 Bingbing Li trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Sepp Hochreiter
5. Alex Krizhevsky
6. Ilya Sutskever
7. Jacob Devlin
8. Kyunghyun Cho
9. J. Urgen Schmidhuber
10. Yann LeCun

Who trusts Bingbing Li overall

1. Sehoon Kim

Papers from Bingbing Li's perspective

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

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