- [23P03]CAMR: cross-aligned multimodal representation learning for cancer survival prediction.Bioinformatics（中科院TOP期刊）,2023,btad025
- [23P04]Cross-domain Nuclei Detection in Histopathology Images using Graph-based Nuclei Feature Alignment.IEEE JBHI（IEEE Journal系列，医学信息处理领域国际顶级期刊，中科院一区）,2023,
- [23P05]Learning Comprehensive Multimodal Representation for Cancer Survival Prediction.The 5th International Conference on Machine Learning and Natural Language Processing (MLNLP '22),2022,332-336
- [23P06]Grasp stability assessment through the fusion of visual and tactile signals using deep bilinear network.The 5th International Conference on Machine Learning and Natural Language Processing (MLNLP '22),2022,372-376
- [23P07]CARL: Cross-aligned Representation Learning for Multi-view Lung Cancer Histology Classification.MICCAI（图像处理领域顶级会议）,358–367.
- [23Z01]基于图像局部增广的病理图像半监督自动分类方法.国家发明专利,2023,202310071136.0.
- [23Z02]联合全局正则化与局部对抗学习的病理图像细胞核检测方法.国家发明专利,2023,2023100525202310052538.6.
- [22P01]Reconstruction-assisted Feature Encoding Network for Histologic Subtype Classification of Non-small Cell Lung Cancer.IEEE JBHI（IEEE Journal系列，医学信息处理领域国际顶级期刊，中科院一区）,2022,
- [22P03]Global and Local Attentional Feature Alignment for Domain Adaptive Nuclei Detection in Histopathology Images.Artificial Intelligence In Medicine（人工智能领域著名期刊，中科院大类一区）,2022,
- [22P04]A multi-view feature decomposition deep learning method for lung cancer histology classification.The14th International Conference on Graphics and Image Processing,2022,