Zhuang Liu

Artificial Intelligence · with Huang · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Natural Language Processing — 27 citations into it
• Large Language Models — 14 citations into it

Whom Zhuang Liu trusts overall

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

1. Yu Sun
2. Alec Radford
3. Mandar Joshi
4. Tomas Mikolov
5. Geoffrey E. Hinton
6. Xiaodong Liu
7. Yoshua Bengio
8. Diederik P. Kingma
9. Yinhan Liu
10. Alex Krizhevsky

Papers from Zhuang Liu's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
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

• A Robustly Optimized BERT Pre-training Approach with Post-training (2021) — 729 citations
• FinBERT: A Pre-trained Financial Language Representation Model for Financial Text Mining (2020) — 306 citations