郑钰山 副教授、博士生导师
医学科学与工程学院
北航教师个人主页：https://shi.buaa.edu.cn/zhengyushan
电子邮箱：yszheng@buaa.edu.cn
【教育背景】
2015年9月 - 2019年1月 北京航空航天大学 宇航学院 博士
2012年9月 - 2015年9月 北京航空航天大学 宇航学院 硕士
2008年9月 - 2012年9月 北京航空航天大学 宇航学院 本科
【工作经历】
2019年1月 - 2021年12月 北京航空航天大学 生物医学高精尖创新中心 博士后
【研究领域】
医学图像处理与识别、数字病理、深度学习、多模态表征学习、信息检索
【代表性科研项目】
[1] 国家自然科学基金面上项目，数字病理结构化表征学习及自循证辅助诊断方法研究，2025-01至2029-12，主持
[2] 北京市自然科学基金面上项目，面向肿瘤辅助诊断的组织病理全切片图像多层级表征学习方法研究，2024-01至2026-12，主持
[3] 北航前沿交叉创新基金项目，基于数字病理多层级表征自监督学习的泛癌诊断图谱构建与应用方法研究，2023-11至2024-12，主持
[4] 国家自然科学基金青年项目，数字病理全切片图像检索与癌症辅助诊断方法研究，2020-01至2022-12，主持
[5] 中国博士后科学基金面上项目，大规模病理全切片图像检索与辅助诊断方，2019-04至2021-12，主持
[6] 国家自然科学基金面上项目，数字病理自监督学习与癌症辅助诊断方法研究，2022-01至2025-12，参与
[7] 国家自然科学基金面上项目，基于多模态数据智能联合分析的蕈样肉芽肿进展及预后预测标准研究，2022-01至2025-12，参与
[8] 国家自然科学基金重点项目，基于多模态影像组学的肝细胞癌微血管侵犯预测关键问题研究，2020-01至2024-12，参与
[9] 国家自然科学基金面上项目，皮肤镜图像多分类算法研究， 2019-01至2022-12，参与
【代表性论著】
[1] Jun Shi, Tong Shu, Zhiguo Jiang, Wei Wang, Haibo Wu, and Yushan Zheng*, Slide-based Graph Collaborative Training for Histopathology Whole Slide Image Analysis, IEEE Transactions on Medical Imaging, 2025. (JCR-Q1, 中科院1区, Top)
[2] Kunming Tang, Zhiguo Jiang, Jun Shi, Wei Wang, Haibo Wu, and Yushan Zheng*, Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis, AAAI, 2025. (CCF-A)
[3] Kun Wu, Zhiguo Jiang, Kunming Tang, Jun Shi, Fengying Xie, Wei Wang, Haibo Wu*, Yushan Zheng*, Pan-cancer Histopathology WSI Pre-training with Position-aware Masked Autoencoder, IEEE Transactions on Medical Imaging, 2025. (JCR-Q1, 中科院1区, Top)
[4] Kunming Tang, Zhiguo Jiang, Kun Wu, Jun Shi, Fengying Xie, Wei Wang, Haibo Wu*, and Yushan Zheng*, Self-Supervised Representation Distribution Learning for Reliable Data Augmentation in Histopathology WSI Classification, IEEE Transactions on Medical Imaging, 2024. (JCR-Q1, 中科院1区, Top)
[5] Xinyu Zhu, Zhiguo Jiang, Kun Wu, Jun Shi, and Yushan Zheng*, Lifelong Histopathology Whole Slide Image Retrieval via Distance Consistency Rehearsal, MICCAI, 2024. (CCF-B)
[6] Tong Shu, Jun Shi, Dongdong Sun, Zhiguo Jiang, and Yushan Zheng*, SlideGCD: Slide-based Graph Collaborative Training with Knowledge Distillation for Whole Slide Image Classification, MICCAI, 2024. (CCF-B)
[7] Dingyi Hu, Zhiguo Jiang, Jun Shi, Fengying Xie, Kun Wu, Kunming Tang, Ming Cao, Jianguo Huai, and Yushan Zheng*, Histopathology language-image representation learning for fine-grained digital pathology cross-modal retrieval, Medical Image Analysis 95: 103163, 2024. (JCR-Q1, 中科院1区, Top)
[8] Yushan Zheng, Kun Wu, Jun Li, Kunming Tang, Jun Shi, Haibo Wu, Zhiguo Jiang, and Wei Wang*, Partial-Label Contrastive Representation Learning for Fine-grained Biomarkers Prediction from Histopathology Whole Slide Images, IEEE Journal of Biomedical and Health Informatics, 2024. (JCR-Q1, 中科院1区, Top)
[9] Kun Wu, Yushan Zheng*, Jun Shi*, Fengying Xie, and Zhiguo Jiang, Position-Aware Masked Autoencoder for Histopathology WSI Representation Learning, MICCAI, pp. 714-723, 2023. (CCF-B)
[10] Yushan Zheng, Jun Li, Jun Shi*, Fengying Xie, Jianguo Huai, Ming Cao, and Zhiguo Jiang*, Kernel Attention Transformer for Histopathology Whole Slide Image Analysis and Assistant Cancer Diagnosis, IEEE Transactions on Medical Imaging, 42 (9): 2726-2739, 2023. (JCR-Q1, 中科院1区, Top)
[11] Yushan Zheng*, Jun Li, Jun Shi, Fengying Xie, and Zhiguo Jiang, Kernel Attention Transformer (KAT) for Histopathology Whole Slide Image Classification, MICCAI, 2022. (CCF-B)
[12] Jun Li, Yushan Zheng*, Kun Wu, Jun Shi, Fengying Xie, Zhiguo Jiang, Lesion-Aware Contrastive Representation Learning for Histopathology Whole Slide Images Analysis, MICCAI, 2022. (CCF-B)
[13] Yushan Zheng, Zhiguo Jiang*, Jun Shi*, Fengying Xie et al. “Encoding histopathology whole slide images with location-aware graphs for diagnostically relevant regions retrieval,” Medical Image Analysis 76: 102308, 2022. (JCR-Q1, 中科院1区, Top)
[14] Yushan Zheng, Zhiguo Jiang*, Haopeng Zhang, Fengying Xie, Dingyi Hu, Shujiao Sun, Jun Shi, and Chenghai Xue. “Stain Standardization Capsule for Application-Driven Histopathological Image Normalization.” IEEE Journal of Biomedical and Health Informatics 25 (2): 337–347, 2021. (封面文章，JCR-Q1, 中科院1区, Top)
[15] Yushan Zheng, Zhiguo Jiang*, Fengying Xie, Jun Shi, Haopeng Zhang, Jianguo Huai, Ming Cao, and Xiaomiao Yang. “Diagnostic Regions Attention Network (DRA-Net) for Histopathology WSI Recommendation and Retrieval.” IEEE Transactions on Medical Imaging 40 (3): 1090–1103, 2021. (JCR-Q1, 中科院1区, Top)
[16] Yushan Zheng*, Zhiguo Jiang, Haopeng Zhang, Fengying Xie, and Jun Shi. “Tracing Diagnosis Paths on Histopathology WSIs for Diagnostically Relevant Case Recommendation.” MICCAI, 459–469, 2020. (CCF-B)
[17] Yushan Zheng*, Bonan Jiang, Jun Shi, Haopeng Zhang, and Fengying Xie. “Encoding Histopathological WSIs Using GNN for Scalable Diagnostically Relevant Regions Retrieval.” MICCAI, 550–558, 2019. (CCF-B)
[18] Yushan Zheng, Zhiguo Jiang, Haopeng Zhang*, Fengying Xie, Yibing Ma, Huaqiang Shi, and Yu Zhao. “Histopathological Whole Slide Image Analysis Using Context-Based CBIR.” IEEE Transactions on Medical Imaging 2018, 37(7): 1641-1652. (JCR-Q1, 中科院1区, Top)
[19] Yushan Zheng, Zhiguo Jiang*, Haopeng Zhang, Fengying Xie, Yibing Ma, Huaqiang Shi, Yu Zhao. “Size-scalable content-based histopathological image retrieval from database that consists of WSIs.” IEEE Journal of Biomedical and Health Informatics, 2018, 22(4):1278-1287. (JCR-Q1, 中科院1区, Top)
[20] Yushan Zheng, Zhiguo Jiang, Fengying Xie*, Haopeng Zhang, Yibing Ma, Huaqiang Shi, Yu Zhao. “Feature extraction from histopathological images based on nucleus-guided convolutional neural network for breast lesion classification, Pattern Recognition, 2017, 71: 14-25. (JCR-Q1, 中科院1区, Top)
