Juhua Liu
Artificial Intelligence · with Du · 2021–2023
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 — 37 citations into it
- Computer Vision and Pattern Recognition — 34 citations into it
- Natural Language Processing — 22 citations into it
Whom Juhua Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Juhua Liu's perspective
Ordered by how strongly the researchers Juhua Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
Their papers
- Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition (2021) — 67 citations
- Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT (2023) — 318 citations