Liangyou Li
Artificial Intelligence · with Liu · 2014–2023
A researcher in the Science corpus: 4 papers; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 84 citations into it
- Natural Language Processing — 40 citations into it
- Computer Vision and Pattern Recognition — 25 citations into it
- Evaluation & Benchmarks — 22 citations into it
- Model Architectures — 8 citations into it
- Efficiency & Compression — 7 citations into it
Whom Liangyou Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Philipp Koehn
- Yoshua Bengio
- Jimmy Ba
- Andreas Stolcke
- Ilya Sutskever
- Alex Krizhevsky
- Quoc V. Le
- Christopher D. Manning
Who trusts Liangyou Li overall
- Tao Lei
- Raphael Shu
- Ergun Biçici
- Yu Zhang
- Yinhan Liu
- Sébastien Jean
- Hideki Nakayama
- Ondrej Bojar
- Qun Liu
- Yoav Artzi
Papers from Liangyou Li's perspective
Ordered by how strongly the researchers Liangyou Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
Their papers
- The DCU-ICTCAS MT system at WMT 2014 on German-English Translation Task (2014) — 9 citations
- Pretrained Language Models for Document-Level Neural Machine Translation (2019) — 21 citations
- Aligning Large Language Models with Human: A Survey (2023) — 495 citations
- Future-Guided Incremental Transformer for Simultaneous Translation (2020) — 44 citations