Ligong Han
IBM (United States)(US)
Publications by Year
Research Areas
Generative Adversarial Networks and Image Synthesis, Multimodal Machine Learning Applications, Domain Adaptation and Few-Shot Learning, Topic Modeling, Medical Image Segmentation Techniques
Most-Cited Works
- → SVDiff: Compact Parameter Space for Diffusion Fine-Tuning(2023)139 cited
- → SINE: SINgle Image Editing with Text-to-Image Diffusion Models(2023)111 cited
- → Hierarchically Self-supervised Transformer for Human Skeleton Representation Learning(2022)44 cited
- → Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning(2022)36 cited
- → TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers(2022)33 cited
- → ProxEdit: Improving Tuning-Free Real Image Editing with Proximal Guidance(2024)31 cited
- → Deep contextual recurrent residual networks for scene labeling(2018)27 cited
- → Human-AI Collaboration with Bandit Feedback(2021)20 cited
- → Learning Generative Models of Tissue Organization with Supervised GANs(2018)20 cited
- Unsupervised Domain Adaptation via Calibrating Uncertainties(2019)