黄忠唯，博士，副教授，2022年毕业于深圳大学，获计算机科学与技术博士学位。主要从事模式识别、机器学习、医学图像处理、脑疾病智能诊断等相关领域研究。以第一或通讯作者发表论文13篇，申请发明专利6项，授权2项。近几年，主持国家自然科学基金和湖北省自然科学基金各1项，参与广东省基金1项。

1.联系方式

邮箱：huangzhongwei@hbut.edu.cn

2.招生专业

计算机科学与技术、电子信息、计算机技术。欢迎具有一定编程基础、积极乐观的同学报考我的硕士研究生。

3.主持和参与项目

（1）面向不完备多模态影像数据的帕金森病早期智能诊断方法研究，国家自然科学基金青年项目，2024.1-2026.12，主持。

（2）多模态数据缺失场景下帕金森病早期诊断与评分预测的关键技术研究，湖北省自然科学基金青年项目，2023.7-2025.6，主持。

（3）基于多模态神经影像数据的帕金森病早期智能诊断方法研究，湖北工业大学博士科研启动基金，2023.1-2024.12，主持。

（4）基于纵向深度特征学习的帕金森病早期诊断与预测关键技术研究，广东省普通高校重点领域专项，2020.1-2022.12，参与。

4.代表性论文

[1] Zhongwei Huang, Haijun Lei, Guoliang Chen, Alejandro F. Frangi, Yanwu Xu, Ahmed Elazab, Jing Qin, and Baiying Lei*, "Parkinson's Disease Classification and Clinical Score Regression via United Embedding and Sparse Learning From Longitudinal Data," IEEE Transactions on Neural Networks and Learning Systems, vol. 33, pp. 3357-3371, 2022. (SCI, 中科院一区, IF: 8.9)

[2] Zhongwei Huang, Kai Wang, Chao Chen, Jianxia Chen, Jun Wan, Zhi Yang, Ran Zhou*, Haitao Gan, "Incomplete Multi-View Data Learning via Adaptive Embedding and Partial ��2,1 Norm Constraints for Parkinson’s Disease Diagnosis," IEEE Journal of Biomedical and Health Informatics, 2025, DOI:10.1109/JBHI.2025.3576786. (SCI，中科院小类一区， IF: 6.8)

[3] Zhongwei Huang, Jianqiang Li, Jiatao Yang, Jun Wan, Jianxia Chen, Zhi Yang, Ming Shi, Ran Zhou, Haitao Gan*, "Adaptive feature selection with flexible mapping for diagnosis and prediction of Parkinson's disease," Engineering Applications of Artificial Intelligence, vol. 146, p. 110342, 2025. (SCI, 中科院一区, IF: 8)

[4] Zhongwei Huang, Jianqiang Li, Jun Wan, Jianxia Chen, Zhi Yang, Ming Shi, Ran Zhou, Haitao Gan*, "Incomplete multi-view feature selection with adaptive consensus graph constraint for Parkinson's disease diagnosis," Applied Soft Computing, vol. 170, p. 112739, 2025. (SCI, 中科院二区, IF: 6.6)

[5] Zhongwei Huang, Haijun Lei, Guoliang Chen, Haimei Li, Chuandong Li, Wenwen Gao, Yue Chen, Yaofa Wang, Haibo Xu, Guolin Ma*, and Baiying Lei*, “Multi-center Sparse Learning and Decision Fusion for Automatic COVID-19 Diagnosis,” Applied Soft Computing, vol. 115, p. 108088, 2022. (SCI, 中科院二区, IF: 6.6)

[6] Zhongwei Huang, Jianqiang Li, Jiatao Yang, Jun Wan, Jianxia Chen, Zhi Yang, Ming Shi, Ran Zhou, Haitao Gan*, "Parkinson’s disease classification and prediction via adaptive sparse learning from multiple modalities," Biomedical Signal Processing and Control, vol. 100, p. 107061, 2025. (SCI, 中科院二区, IF: 4.9)

[7] Ran Zhou*, Weiyan Gan, Furong Wang, Zhi Yang, Zhongwei Huang*, Haitao Gan, "Tri-correcting: Label noise correction via triple CNN ensemble for carotid plaque ultrasound image classification," Biomedical Signal Processing and Control, vol. 91, p. 105981, 2024. (SCI, 中科院二区, IF: 4.9，共同通讯)

[8] Haijun Lei, Zhongwei Huang, Jian Zhang, Zhang Yang, Ee-Leng Tan, Feng Zhou, and Baiying Lei*, "Joint detection and clinical score prediction in Parkinson's disease via multi-modal sparse learning," Expert Systems with Applications, vol. 80, pp. 284-296, 2017. (SCI, 中科院一区, IF: 7.5)

[9] Haijun Lei, Zhongwei Huang, Feng Zhou, Ahmed Elazab, Ee-Leng Tan, Hancong Li, Jing Qin, and Baiying Lei*, “Parkinson's Disease Diagnosis via Joint Learning From Multiple Modalities and Relations,” IEEE Journal of Biomedical and Health Informatics, vol. 23, pp. 1437-1449, 2019. (SCI, 中科院小类一区, IF: 6.8)

[10] Zhongwei Huang, Chengjia Liang, Yiyuan Peng, Chao Chen, Haijun Lei*, Baohua Tan*, "Local-Global Attention Network via Online Self-Supervised Learning for Parkinson's Disease Diagnosis," IEEE International Conference on Bioinformatics & Biomedicine (BIBM), 2025.（已接收）

[11] Zhongwei Huang, Haijun Lei, Shiqi Li, Xiaohua Xiao, Ee-Leng Tan, and Baiying Lei, "Longitudinal Feature Selection and Feature Learning for Parkinson's Disease Diagnosis and Prediction," in 2020 25th International Conference on Pattern Recognition (ICPR), 2021, pp. 5736-5743. (CCF C类)

[12] Zhongwei Huang, Jianqiang Li, Jiatao Yang, Ran Zhou, Jun Wan, Haitao Gan*, "Adaptive Sparse Learning Based on Flexible Graph Embedding for Parkinson's Disease Diagnosis", in 2024 International Joint Conference on Neural Networks (IJCNN), 2024, pp. 1-7. (CCF C类)

[13] Zhongwei Huang, Haijun Lei, Guoliang Chen, Shiqi Li, Hancong Li, Ahmed Elazab, and Baiying Lei*, "Unsupervised Feature Selection via Adaptive Embedding and Sparse Learning for Parkinson’s Disease Diagnosis," in Connectomics in NeuroImaging (CNI), 2019, pp. 1-9.

[14] Jianqiang Li, Jiatao Yang, Haitao Gan, Zhongwei Huang*, "Parkinson's disease diagnosis with sparse learning of multi-modal adaptive similarity," in 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 2024, pp. 1-5.

[15] Zhongwei Huang, Haijun Lei, Yujia Zhao, Feng Zhou, Jin Yan, Ahmed Elazab, and Baiying Lei*, "Longitudinal and multi-modal data learning for Parkinson's disease diagnosis," in 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI), 2018, pp. 1411-1414.