杨智，湖北工业大学计算机学院硕士生导师，博士毕业于华中科技大学控制科学与工程专业。邮箱：zyang631@hbut.edu.cn，QQ：76893137。

招生专业：计算机科学与技术、电子信息、计算机技术

本人研究方向：主要从事机器学习、计算机视觉、医学影像分析以及生物计算等方面的研究

科研成果：

主持省部级重点实验室开放基金1项，教育厅科技项目1项。参与省部级项目1项，省部级重点实验室开放基金1项，教育厅科技项目1。发表论文十余篇，以第一或通讯作者发表SCI论文6篇，发表专著1部，发明专利1项。

主持的项目：

纵向：

1.国家重点实验室开放基金，“基于图卷积神经网络的蛋白质结构模型质量评价”，2021.01-2022.12

2.湖北省教育厅科研计划项目，“基于多线索交互式融合的图像显著性检测研究”，2019.1-2020.12

横向：

1.“智能防溜远程监控系统”，经费5万

2.“基于视频图像的智能客流检测系统”，经费5万

3.“面向“光阶”APP的回归算法与推荐算法研究”，经费6万

参与的项目：

纵向：

1.湖北省自然基金面上类项，”Spark环境下大规模图数据的异步累积迭代算法关键问题研究”

2.省教育厅项目-科研计划重点项目，“融合知识图谱的交互式推荐方法研究”

3.部级重点实验室项目-开放基金，“面向少量标记脑电信号的自监督卷积神经网络算法研究”

4.校级科研项目-高层次人才科研启动基金，“面向不可靠信息的安全半监督聚类算法研究及其应用”

横向：

1.“医学人工智能系统”，经费100万

2.“大数据下人工智能技术研究与应用”，经费25万

代表性论文：

[1]Zhi YangWenYa Liu, Haitao Gan,Zhongwei Huang, Ran Zhou, Ming Shi. Alzheimer’s disease classification based on brain region-to-sample graph convolutional network[J]. Biomedical Signal Processing and Control, 2024, 96: 106589.SCIE

[2]Zhi Yang; Kang Li; Haitao Gan; Zhongwei Huang; Ming Shi; Ran Zhou. An Alzheimer’s disease classification network based on MRI utilizing diffusion maps for multi-scale feature fusion in graph convolution[J].Mathematical Biosciences and Engineering, 2023, 21(1): 1554-1572. SCIE.

[3]Zhi Yang; Yadong Yan; Haitao Gan; Jing Zhao; Zhiwei Ye..A safe semi-supervised graph convolution network[J].Mathematical biosciences and engineering : MBE, 2022, 19(12):12677- 12692.DOI:10.3934/mbe.2022592.

[4]Zhi Yang; Haitao Gan; Xuan Li; Cong Wu; Capped ℓ1-norm regularized least squares classification with label noise, Journal of Intelligent & Fuzzy Systems, 2021, 40: 4051-4063

[5]Zhi Yang, Yadong Yan, Haitao Gan, Jing Zhao, Zhiwei Ye. A safe semi-supervised graph convolution network[J]. Mathematical Biosciences and Engineering, 2022, 19(12): 12677-12692. doi: 10.3934/mbe.2022592

[6]Zhanhong Qiu; Haitao Gan; Ming Shi; Zhongwei Huang;Zhi Yang*. Self-training with dual uncertainty for semi-supervised MRI image segmentation[J]. Biomedical Signal Processing and Control, 2024, 94: 106355.

[7]Wenya Liu;Zhi Yang; Haitao Gan; Zhongwei Huang; Ran Zhou; Ming Shi. Hierarchical Pooling Graph Convolutional Neural Network for Alzheimer’s Disease Diagnosis[C]//Pacific Rim International Conference on Artificial Intelligence. Singapore: Springer Nature Singapore, 2023: 426-437.

[8]Sihui Ge;Zhi Yang; Haitao Gan; Zhongwei Huang; Ran Zhou; Ji Wang. Contrastive pre-training of Soft-Clustering GCN for diagnosing Alzheimer’s disease[C]//2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024: 1-8.

[9]Wenjie Yu; Weiyan Gan; Furong Wang;Zhi Yang*; Ming Shi; Ran Zhou. Semi-supervised carotid plaque image classification using feature correction and pseudo-label balance correction[C]//2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2023: 672-677.

[10]Zhi Yang; Dehua Li; Jingang Yu; Saliency detection based on diffusion maps, Optik - International Journal for Light and Electron Optics, 2014, 125(18): 5202-5206

[11]Xuan Li; Dehua Li;Zhi Yang*; Weiwei Chen; A patch-based saliency detection method for assessing the visual privacy levels of objects in photos[J]. IEEE Access, 2017, 5: 24332-24343.

[12]Nong Sang; Haitao Gan; Yingle Fan; Wei Wu;Zhi Yang; Adaptive safety degree-based safe semi-supervised learning, International Journal of Machine Learning and Cybernetics, 2019, 10(5):1101-1108

[13]Haitao Gan; Yingle Fan; Zhizeng Luo; Rui Huang;Zhi Yang; Confidence-weighted safe semi-supervised clustering, Engineering Applications of Artificial Intelligence, 2019, 81: 107-116

[14]Hao Dou; Delie Ming;Zhi Yang; Zhihong Pan; Yansheng Li; Jinwen Tian ; Object-Based Visual Saliency via Laplacian Regularized Kernel Regression, IEEE Transactions on Multimedia, 2017, 19(8): 1718-1729

专著：

[1]《RESEARCH ON METHOD OF SALIENT REGION DETECTION》，本人唯一作者。

发明专利：

[1]杨智，严亚东，甘海涛，周然，吴聪，王岌，严盟.一种基于安全图卷积网络的文献分类方法及系统。2021-09-02，中国，CN202111028155.2