A Predictive Control Algorithm Based on Driving Behavior Data Model. - Xiangmin Han; Hong Bao; Zuxing Xuan; Feng Pan (CIS, 2017)

Real-time self-driving car navigation and obstacle avoidance using mobile 3D laser scanner and GNSS. - Jing Li; Hong Bao; Xiangmin Han; Feng Pan; Weiguo Pan; Feifei Zhang; Di Wang 016 (Multim. Tools Appl., 2017)

Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities. - Xiangmin Han; Jun Wang 024; Weijun Zhou; Cai Chang; Shihui Ying; Jun Shi 004 (MICCAI (6), 2020)

Doubly supervised parameter transfer classifier for diagnosis of breast cancer with imbalanced ultrasound imaging modalities. - Xiaoyan Fei; Shichong Zhou; Xiangmin Han; Jun Wang 024; Shihui Ying; Cai Chang; Weijun Zhou; Jun Shi 004 (Pattern Recognit., 2021)

Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images. - Jun Shi 004; Yuanming Zhang; Zheng Li; Xiangmin Han; Saisai Ding; Jun Wang 024; Shihui Ying (CoRR, 2022)

Self-Supervised Bi-Channel Transformer Networks for Computer-Aided Diagnosis. - Ronglin Gong; Xiangmin Han; Jun Wang 024; Shihui Ying; Jun Shi 004 (IEEE J. Biomed. Health Informatics, 2022)

Diagnosis of Infantile Hip Dysplasia With B-Mode Ultrasound via Two-Stage Meta-Learning Based Deep Exclusivity Regularized Machine. - Bangming Gong; Jing Shi; Xiangmin Han; Huan Zhang; Yuemin Huang; Liwei Hu; Jun Wang 024; Jun Du 006; Jun Shi 004 (IEEE J. Biomed. Health Informatics, 2022)

Doubly Supervised Transfer Classifier for Computer-Aided Diagnosis With Imbalanced Modalities. - Xiangmin Han; Xiaoyan Fei; Jun Wang 024; Tao Zhou 002; Shihui Ying; Jun Shi 004; Dinggang Shen (IEEE Trans. Medical Imaging, 2022)

ML-DSVM+: A meta-learning based deep SVM+ for computer-aided diagnosis. - Xiangmin Han; Jun Wang 024; Shihui Ying; Jun Shi 004; Dinggang Shen (Pattern Recognit., 2023)

B-mode ultrasound based CAD for liver cancers via multi-view privileged information learning. - Xiangmin Han; Bangming Gong; Lehang Guo; Jun Wang 024; Shihui Ying; Shuo Li 001; Jun Shi 004 (Neural Networks, 2023)

Inter-intra High-Order Brain Network for ASD Diagnosis via Functional MRIs. - Xiangmin Han; Rundong Xue; Shaoyi Du; Yue Gao 002 (MICCAI (2), 2024)

ccRCC Metastasis Prediction via Exploring High-Order Correlations on Multiple WSIs. - Huijian Zhou; Zhiqiang Tian; Xiangmin Han; Shaoyi Du; Yue Gao 002 (MICCAI (5), 2024)

Pseudo-Data Based Self-Supervised Federated Learning for Classification of Histopathological Images. - Yuanming Zhang; Zheng Li; Xiangmin Han; Saisai Ding; Juncheng Li 003; Jun Wang 024; Shihui Ying; Jun Shi 004 (IEEE Trans. Medical Imaging, 2024)

Cross-Template-Based Hypergraph Transformer. - Jingxi Feng; Xiangmin Han; Heming Xu; Juan Wang; Jue Jiang; Shaoyi Du; Yue Gao 002 (ICASSP, 2025)

HGTL: A hypergraph transfer learning framework for survival prediction of ccRCC. - Xiangmin Han; Wuchao Li; Yan Zhang 109; Pinhao Li; Jianguo Zhu 003; Tijiang Zhang; Rongpin Wang; Yue Gao 002 (Medical Image Anal., 2025)

Hypergraph Foundation Model. - Yifan Feng 001; Shiquan Liu; Xiangmin Han; Shaoyi Du; Zongze Wu 001; Han Hu 003; Yue Gao 002 (CoRR, 2025)

Inter-Intra Hypergraph Computation for Survival Prediction on Whole Slide Images. - Xiangmin Han; Huijian Zhou; Zhiqiang Tian; Shaoyi Du; Yue Gao 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Hypergraph-based semantic and topological self-supervised learning for brain disease diagnosis. - Xiangmin Han; Mengqi Lei; Junchang Li (Pattern Recognit., 2026)