Zhouping Tang

According to our database, Zhouping Tang authored at least 10 papers between 2024 and 2026.

Collaborative distances:

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

2026

Adaptive recursive channel selection for robust decoding of motor imagery EEG signal in patients with intracerebral hemorrhage.

Shengjie Li, Jian Shi, Danyang Chen, Zheng Zhu, Feng Hu, Wei Jiang, Kai Shu, Zheng You, Ping Zhang, Zhouping Tang

Pattern Recognit. Lett., 2026

RSSDA: A Riemannian Source Selection and Domain Alignment framework for cross-subject multi-class motor imagery classification.

Tao Ding, Yuhao Zhang, Xingwei Zhao, Jian Shi, Jun Liu, Zhouping Tang, Bo Tao, Han Ding

Pattern Recognit., 2026

A comprehensive review of CT artifact reduction: From traditional reduction techniques to deep learning methods.

Kai Chen, Yinuo Wang, Shuya Ji, Cai Meng, Chao Pan, Zhouping Tang, Diansheng Chen

Comput. Medical Imaging Graph., 2026

2025

Incremental transfer learning for robot drilling state monitoring under multiple working conditions.

Jian Shi, Xingwei Zhao, Bo Tao, Zhouping Tang, Tao Ding, Hao Lu, Taiwen Qiu, Danyang Chen

J. Intell. Manuf., August, 2025

Zero-Shot Multi-modal Large Language Model v.s. Supervised Deep Learning: A Comparative Study on CT-Based Intracranial Hemorrhage Subtyping.

Yinuo Wang, Yue Zeng, Kai Chen, Cai Meng, Chao Pan, Zhouping Tang

CoRR, May, 2025

Unsupervised Domain Adaptation for Cross-Modality Cerebrovascular Segmentation.

Yinuo Wang, Cai Meng, Zhouping Tang, Xiangzhuo Bai, Ping Ji, Xiangzhi Bai

IEEE J. Biomed. Health Informatics, April, 2025

JC-MTL: Multi-task Learning with Joint Consistency Loss for Improved Subtype Segmentation of Intracerebral Hemorrhage.

Kai Chen, Yinuo Wang, Quan Chen, Cai Meng, Zhouping Tang, Diansheng Chen

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2025

2024

Attention-Focused Triggering Strategy for Dynamic Classification in SSVEP-Based Brain-Computer Interface.

Tao Ding, Xingwei Zhao, Qing Ling, Zhouping Tang, Bo Tao, Han Ding

IEEE Trans. Instrum. Meas., 2024

Early warning of atrial fibrillation using deep learning.

Marino E. Gavidia, Hongling Zhu, Arthur N. Montanari, Jesús Fuentes, Cheng Cheng, Sergio Dubner, Martin Chames, Pierre Maison-Blanche, Md. Moklesur Rahman, Roberto Sassi, Fabio Badilini, Yinuo Jiang, Shengjun Zhang, Hai-Tao Zhang, Hao Du, Basi Teng, Ye Yuan, Guohua Wan, Zhouping Tang, Xin He, Xiaoyun Yang, Jorge Gonçalves

Patterns, 2024

SAMIHS: Adaptation of Segment Anything Model for Intracranial Hemorrhage Segmentation.

Yinuo Wang, Kai Chen, Weimin Yuan, Zhouping Tang, Cai Meng, Xiangzhi Bai

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024