Ledell Wu
Beijing Academy of Artificial Intelligence(CN)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications, Advanced Graph Neural Networks, Domain Adaptation and Few-Shot Learning
Most-Cited Works
- → EVA: Exploring the Limits of Masked Visual Representation Learning at Scale(2023)417 cited
- → Scalable Zero-shot Entity Linking with Dense Entity Retrieval(2020)329 cited
- → PyTorch-BigGraph: A Large-scale Graph Embedding System(2019)204 cited
- → Dense Passage Retrieval for Open-Domain Question Answering(2020)142 cited
- → StarSpace: Embed All The Things!(2018)135 cited
- → Multilingual Autoregressive Entity Linking(2022)84 cited
- → EVA-CLIP: Improved Training Techniques for CLIP at Scale(2023)78 cited
- Zero-shot Entity Linking with Dense Entity Retrieval.(2019)
- Pytorch-BigGraph: A Large Scale Graph Embedding System.(2019)