Class-conditioned Domain Generalization via Wasserstein Distributional Robust Optimization. - Jingge Wang; Yang Li 104; Liyan Xie; Yao Xie 002 (CoRR, 2021)

Graph-guided Source Selection with Sequential Transfer for Medical Image Segmentation. - Jingyun Yang; Guoqing Zhang; Jingge Wang; Yang Li (BIBM, 2024)

EL-FDL: Improving Image Forgery Detection and Localization via Ensemble Learning. - Bin Wang; Feifan Wang; Jingge Wang; Haonan Yan; Shaopeng Zhou; Chaohao Li (ICANN (2), 2024)

Selecting the Best Sequential Transfer Path for Medical Image Segmentation with Limited Labeled Data. - Jingyun Yang; Jingge Wang; Guoqing Zhang; Yang Li (ICONIP (7), 2024)

Enhancing Continuous Domain Adaptation with Multi-path Transfer Curriculum. - Hanbing Liu; Jingge Wang; Xuan Zhang 004; Ye Guo; Yang Li 104 (PAKDD (2), 2024)

CCIS-DIFF: A Generative Model with Stable Diffusion Prior for Controlled Colonoscopy Image Synthesis. - Yifan Xie; Jingge Wang; Tao Feng; Fei Ma 006; Yang Li 104 (ISBI, 2025)

Adapting Foundation Models for Few-Shot Medical Image Segmentation: Actively and Sequentially. - Jingyun Yang; Guoqing Zhang; Jingge Wang; Yang Li (ISBI, 2025)

Generalizing towards the future: Discovering dynamics among evolving domains via disentangled variational autoencoders. - Jingge Wang; Yang Tan; Haohua Wang; Yang Li (J. Frankl. Inst., 2025)

Generalizing to Unseen Domains With Wasserstein Distributional Robustness Under Limited Source Knowledge. - Jingge Wang; Liyan Xie; Yao Xie 002; Shao-Lun Huang; Yang Li 104 (IEEE J. Sel. Top. Signal Process., 2025)

Transferable Mask Transformer: Cross-domain Semantic Segmentation with Region-adaptive Transferability Estimation. - Enming Zhang; Zhengyu Li; Yanru Wu; Jingge Wang; Yang Tan; Ruizhe Zhao; Guan Wang; Yang Li (CoRR, 2025)

Understanding Knowledge Transferability for Transfer Learning: A Survey. - Haohua Wang; Jingge Wang; Zijie Zhao; Yang Tan; Yanru Wu; Hanbing Liu; Jingyun Yang; Enming Zhang; Xiangyu Chen; Zhengze Rong; Shanxin Guo; Yang Li (CoRR, 2025)