Ping Li

Artificial Intelligence · with Bai · 2019

A researcher in the Science corpus: 2 papers; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it
• Natural Language Processing — 19 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Representation & Self-Supervised Learning — 11 citations into it
• Graph Learning — 8 citations into it

Whom Ping Li trusts overall

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

1. Antoine Bordes
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Jason Aaron Edward Weston
5. Richard Socher
6. Ilya Sutskever
7. Tomas Mikolov
8. Diederik P. Kingma
9. Alex Krizhevsky
10. Dzmitry Bahdanau

Papers from Ping Li's perspective

Ordered by how strongly the researchers Ping 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Knowledge Graph Embedding Based Question Answering (2019) — 637 citations
• Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features (2019) — 38 citations