Chunyuan Li
Microsoft (United States)(US)
Publications by Year
Research Areas
Multimodal Machine Learning Applications, Domain Adaptation and Few-Shot Learning, Topic Modeling, Natural Language Processing Techniques, Generative Adversarial Networks and Image Synthesis
Most-Cited Works
- → Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks(2020)1,493 cited
- → Improved Baselines with Visual Instruction Tuning(2024)973 cited
- → Visual Instruction Tuning(2023)670 cited
- → A whole-slide foundation model for digital pathology from real-world data(2024)520 cited
- → RegionCLIP: Region-based Language-Image Pretraining(2022)466 cited
- → GLIGEN: Open-Set Grounded Text-to-Image Generation(2023)426 cited
- → Joint Embedding of Words and Labels for Text Classification(2018)424 cited
- Variational Autoencoder for Deep Learning of Images, Labels and Captions(2016)
- → Florence: A New Foundation Model for Computer Vision(2021)340 cited