Luo Si
Artificial Intelligence · with Huang · 2017–2022
A researcher in the Science corpus: 13 papers; trusts 260 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 391 citations into it
- Computer Vision and Pattern Recognition — 232 citations into it
- Natural Language Processing — 199 citations into it
- Large Language Models — 71 citations into it
- Evaluation & Benchmarks — 60 citations into it
- Representation & Self-Supervised Learning — 53 citations into it
- Information Systems — 26 citations into it; #8,714 of 8,771 by trust here, #5,501 by citations
- Prompting & Reasoning — 21 citations into it
Whom Luo Si trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yoshua Bengio
- Geoffrey E. Hinton
- Jacob Devlin
- Alex Krizhevsky
- Ilya Sutskever
- Richard Socher
- Kaiming He
- Jimmy Ba
- Yann LeCun
Who trusts Luo Si overall
Papers from Luo Si's perspective
Ordered by how strongly the researchers Luo Si trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding (2019) — 301 citations
- mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections (2022) — 295 citations
- StructuralLM: Structural Pre-training for Form Understanding (2021) — 149 citations
- Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing (2021) — 21 citations
- On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation (2021) — 255 citations
- KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction (2021) — 507 citations
- AdaPrompt: Adaptive Prompt-based Finetuning for Relation Extraction (2021)
- Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialogue State Tracking (2021) — 56 citations
- Achieving Human Parity on Visual Question Answering (2021) — 24 citations
- VECO: Variable Encoder-decoder Pre-training for Cross-lingual Understanding and Generation (2020) — 23 citations
- Review-based Question Generation with Adaptive Instance Transfer and Augmentation (2019) — 20 citations
- Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis (2019) — 513 citations
- Cascade Ranking for Operational E-commerce Search (2017) — 118 citations