Bing-Quan Liu

Artificial Intelligence · 2015–2023

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 50 citations into it
• Natural Language Processing — 21 citations into it
• Information Systems — 6 citations into it

Whom Bing-Quan Liu trusts overall

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

1. B. Liu
2. Minqing Hu
3. Yann LeCun
4. Geoffrey E. Hinton
5. Maria Pontiki
6. Richard Socher
7. Yoshua Bengio
8. Bo Pang
9. Diederik P. Kingma
10. John D. Lafferty

Who trusts Bing-Quan Liu overall

1. Zixuan Ke

Papers from Bing-Quan Liu's perspective

Ordered by how strongly the researchers Bing-Quan Liu 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. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
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. Gradient-based learning applied to document recognition
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Sentiment Analysis in the Era of Large Language Models: A Reality Check (2023) — 629 citations
• Automated Rule Selection for Aspect Extraction in Opinion Mining (2015) — 162 citations