Wenge Que

According to our database, Wenge Que authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Intelligent Pathological Diagnosis of Gestational Trophoblastic Diseases via Visual-Language Deep Learning Model.

Yuhang Liu, Yueyang Cang, Wenge Que, Xinru Bai, Xingtong Wang, Kuisheng Chen, Jingya Li, Xiaoteng Zhang, Xinmin Li, Lixia Zhang, Pingge Hu, Qiaoting Xie, Peiyu Xu, Xianxu Zeng, Li Shi

CoRR, March, 2026

Graph-GRPO: Stabilizing Multi-Agent Topology Learning via Group Relative Policy Optimization.

Yueyang Cang, Xiaoteng Zhang, Erlu Zhao, Zehua Ji, Yuhang Liu, Yuchen He, Zhiyuan Ning, Chen Yijun, Wenge Que, Li Shi

CoRR, March, 2026

2024

An Overview of Algorithms for Myocardial Infarction Diagnostics Using ECG Signals: Advances and Challenges.

Chuang Han, Yusen Zhou, Wenge Que, Zuhe Li, Li Shi

IEEE Trans. Instrum. Meas., 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

2023

Automated Detection and Localization of Myocardial Infarction With Interpretability Analysis Based on Deep Learning.

Chuang Han, Jiajia Sun, Yingnan Bian, Wenge Que, Li Shi

IEEE Trans. Instrum. Meas., 2023

2022

QRS complexes and T waves localization in multi-lead ECG signals based on deep learning and electrophysiology knowledge.

Chuang Han, Wenge Que, Songwei Wang, Jinying Zhang, Jie Zhao, Li Shi

Expert Syst. Appl., 2022

Automated localization and severity period prediction of myocardial infarction with clinical interpretability based on deep learning and knowledge graph.

Chuang Han, Shihao Pan, Wenge Que, Zhizhong Wang, Yunkai Zhai, Li Shi

Expert Syst. Appl., 2022

An ECG generative model of myocardial infarction.

Wenge Que, Chuang Han, Xiliang Zhao, Li Shi

Comput. Methods Programs Biomed., 2022