Fuli Luo
Artificial Intelligence · 2018–2021
A researcher in the Science corpus: 7 papers; trusts 59 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 117 citations into it
- Natural Language Processing — 82 citations into it
- Computer Vision and Pattern Recognition — 68 citations into it
- Evaluation & Benchmarks — 17 citations into it
- Optimization & Training — 16 citations into it
- Reinforcement Learning — 7 citations into it
- Information Systems — 6 citations into it
Whom Fuli Luo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Ronald J. Williams
- Ilya Sutskever
- Guillaume Lample
- Jimmy Ba
- Alex Krizhevsky
- Kaiming He
- Richard Socher
Who trusts Fuli Luo overall
- Zewen Chi
- Mirac Suzgun
- Kalpesh Krishna
- Zhiqiang Hu
- Eric Nichols
- Leo Laugier
- Di Jin
- Ashish Sharma
- Emily Reif
- David Dale
Papers from Fuli Luo's perspective
Ordered by how strongly the researchers Fuli Luo trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- 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
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- SemVLP: Vision-Language Pre-training by Aligning Semantics at Multiple Levels (2021) — 41 citations
- A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer (2019) — 188 citations
- Learning to Control the Fine-grained Sentiment for Story Ending Generation (2019) — 54 citations
- Cross-language document summarization via extraction and ranking of multiple summaries (2019) — 32 citations
- Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning (2021) — 228 citations
- VECO: Variable Encoder-decoder Pre-training for Cross-lingual Understanding and Generation (2020) — 23 citations
- Cross-language document summarization via extraction and ranking of multiple summaries (2018)