A Semantic Segmentation Network Based Real-Time Computer-Aided Diagnosis System for Hydatidiform Mole Hydrops Lesion Recognition in Microscopic View. - Chengze Zhu; Pingge Hu; Xianxu Zeng; Xingtong Wang; Zehua Ji; Li Shi (CoRR, 2022)

Segmentation Network with Compound Loss Function for Hydatidiform Mole Hydrops Lesion Recognition. - Chengze Zhu; Pingge Hu; Xianxu Zeng; Xingtong Wang; Zehua Ji; Li Shi (CoRR, 2022)

SMAP: A Novel Heterogeneous Information Framework for Scenario-based Optimal Model Assignment. - Zekun Qiu; Zhipu Xie; Zehua Ji; Yuhao Mao; Ke Cheng (CoRR, 2023)

SMAP: A Novel Heterogeneous Information Framework for Scenario-based Optimal Model Assignment. - Zekun Qiu; Zhipu Xie; Zehua Ji; Yuhao Mao; Ke Cheng 003 (ICMLT, 2024)

Efficient electrocardiogram generation based on cardiac electric vector simulation model. - Wenge Que; Yingnan Bian; Shengjie Chen; Xiliang Zhao; Zehua Ji; Pingge Hu; Chuang Han; Li Shi (Comput. Biol. Medicine, 2024)

Integrating query data for enhanced traffic forecasting: A Spatio-Temporal Graph Attention Convolution Network approach with delay modeling. - Zekun Qiu; Zhipu Xie; Zehua Ji; Xu Liu; Gang Wang (Knowl. Based Syst., 2024)

Dual-Stream Anomaly Detection Network for Real-World Traffic Scenarios. - Zehua Ji; Weifeng Lv; Junlin Hu 001; Yuhui Jin; Zekun Qiu; Jian Huang (IEEE Trans. Intell. Transp. Syst., 2024)

HGSMAP: a novel heterogeneous graph-based associative percept framework for scenario-based optimal model assignment. - Zekun Qiu; Zhipu Xie; Zehua Ji; Yuhao Mao; Ke Cheng 003 (Knowl. Inf. Syst., 2025)