Unsupervised Discovery of Disentangled Interpretable Directions for Layer-Wise GAN. - Haotian Hu; Bin Jiang 006; Xinjiao Zhou; Xiaofei Huo; Bolin Zhang (Big Data (CCF), 2022)

DF-CLIP: Towards Disentangled and Fine-grained Image Editing from Text. - Xinjiao Zhou; Bin Jiang 006; Chao Yang 015; Haotian Hu; Xiaofei Huo (ICME, 2023)

Matching in the Wild: Learning Anatomical Embeddings for Multi-Modality Images. - Xiaoyu Bai; Fan Bai 008; Xiaofei Huo; Jia Ge; Tony C. W. Mok; Zi Li; Minfeng Xu; Jingren Zhou 001; Le Lu 001; Dakai Jin; Xianghua Ye; Jingjing Lu; et al. (CoRR, 2023)

SAMv2: A Unified Framework for Learning Appearance, Semantic and Cross-Modality Anatomical Embeddings. - Xiaoyu Bai; Fan Bai 008; Xiaofei Huo; Jia Ge; Jingjing Lu; Xianghua Ye; Ke Yan 006; Yong Xia 001 (CoRR, 2023)

OSAGGAN: one-shot unsupervised image-to-image translation using attention-guided generative adversarial networks. - Xiaofei Huo; Bin Jiang 006; Haotian Hu; Xinjiao Zhou; Bolin Zhang (Int. J. Mach. Learn. Cybern., 2023)

ScribbleEditor: Guided Photo-realistic and Identity-preserving Image Editing with Interactive Scribble. - Haotian Hu; Bin Jiang 006; Chao Yang 015; Xinjiao Zhou; Xiaofei Huo (ICME, 2024)

UAE: Universal Anatomical Embedding on multi-modality medical images. - Xiaoyu Bai; Fan Bai 008; Xiaofei Huo; Jia Ge; Jingjing Lu; Xianghua Ye; Minglei Shu; Ke Yan 006; Yong Xia 001 (Medical Image Anal., 2025)