Lei Cui
Computer Vision and Pattern Recognition · Annual Meeting of the Association for Computational Linguistics · 2017–2023
A researcher in the Science corpus: 7 papers; trusts 371 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 148 citations into it
- Artificial Intelligence — 141 citations into it
- Natural Language Processing — 71 citations into it
- Large Language Models — 34 citations into it
- Evaluation & Benchmarks — 30 citations into it
- Model Architectures — 30 citations into it
- Information Systems — 7 citations into it
- Optimization & Training — 6 citations into it
Whom Lei Cui trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Ilya Sutskever
- Geoffrey E. Hinton
- Dzmitry Bahdanau
- Kaiming He
- Diederik P. Kingma
- Kyunghyun Cho
- Sepp Hochreiter
- Alex Krizhevsky
- Alex Graves
Who trusts Lei Cui overall
Papers from Lei Cui's perspective
Ordered by how strongly the researchers Lei Cui trusts endorse each paper. Same corpus, a different order for every researcher.
- 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- 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
- Language Is Not All You Need: Aligning Perception with Language Models (2023) — 786 citations
- TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models (2021) — 682 citations
- LayoutLM: Pre-training of Text and Layout for Document Image Understanding (2019) — 1,049 citations
- LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding (2020) — 702 citations
- LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking (2022) — 833 citations
- Neural Open Information Extraction (2018) — 167 citations
- SuperAgent: A Customer Service Chatbot for E-commerce Websites (2017) — 320 citations