苗建雨，男，1989.11，博士，副教授，硕士生导师，毕业于中国科学院大学，运筹学与控制论专业，担任中国图学学会可视化与认知计算专委会委员、郑州市数据要素专业委员会委员。主要从事机器学习、数据挖掘等方向研究，发表学术论文30余篇，其中SCI检索20篇；申请发明专利6项，主持参与省部级以上项目6项，出版教材1部。
联系邮箱：jymiao@haut.edu.cn
招生学科：计算机科学技术、电子信息、智能科学与技术。
一、代表性论文与论著
1. Jianyu Miao, Tiejun Yang, Chao Fan, Zhensong Chen, Xuan Fei, Xuchan Ju, Ke Wang, Mingliang Xu, Self-Paced Non-Convex Regularized Analysis-Synthesis Dictionary Learning for Unsupervised Feature Selection, Knowledge-Based Systems, 2022, 241.
2. Jianyu Miao, Tiejun Yang, Lijun Sun, Xuan Fei, Lingfeng Niu, Yong Shi, Graph Regularized Locally Linear Embedding for Unsupervised Feature Selection, Pattern Recognition, 122, 2022.
3. Jianyu Miao, Yuan Ping, Zhensong Chen, Xiao-Bo Jin, Peijia Li, Lingfeng Niu, Unsupervised feature selection by non-convex regularized self-representation, Expert Systems with Applications, 163, 2021.
4. Jianyu Miao, Tiejun Yang, Junwei Jin, Lijun Sun, Lingfeng Niu, Yong Shi, Towards Compact Broad Learning System by Combining Convex Group and Non-convex Individual Sparsity, International Journal of Information Technology and Decision Making, 2022, 21(1): 169-194.
5. Jianyu Miao, Heling Cao, Xiao-Bo Jin, Rongrong Ma, Xuan Fei, Lingfeng Niu, Joint Sparse Regularization for Dictionary Learning, Cognitive Computation, 2019, 11(5): 697-710.
6. Jianyu Miao, Tiejun Yang, Junwei Jin, Lingfeng Niu, Graph-based Clustering via Group Sparsity and Manifold Regularization, IEEE Access, 2019, 7: 172123-172135.
7. Anda Tang, Lingfeng Niu, Jianyu Miao(通讯作者), Peng Zhang, Training Compact DNNs with l1/2 Regularization, Pattern Recognition, 136, 2023.
8. Yong Shi, Jianyu Miao, Zhengyu Wang, Peng Zhang, Lingfeng Niu, Feature Selection with L_{2,1-2} Regularization, IEEE Transactions on Neural Networks and Learning Systems, 2018, 29(10): 4967-4982.
9. Yong Shi, Jianyu Miao, Lingfeng Niu, Feature Selection MCP^2 Regularization, Neural Computing & Applications, 2019, 31(10): 6699--6709.
10. Rongrong Ma, Jianyu Miao, Lingfeng Niu, Peng Zhang, Transformed L1 Regularization for Learning Sparse Deep Neural Networks, Neural Networks, 2019, 119: 286-298.
11. Jiashuai Zhang, Jianyu Miao, Kun Zhao, Yingjie Tian, Multi-task feature selection with sparse regularization to extract common and task-specific features. Neurocomputing, 2019, 340: 76-89..
二、主持科研项目
1.基于非凸正则化的多视角无监督特征选择方法研究，国家自然科学基金青年基金、主持
2.稀疏理论及其在若干机器学习问题中的应用，河南省科技攻关项目、主持
3.基于非凸稀疏正则化的深度神经网络压缩方法研究，河南省教育厅、主持
4.面向大规模不完全多视角数据的稀疏子空间聚类算法研究，郑州市科技协同创新专项、主持
5.基于稀疏正则化的机器学习问题研究，河南工业大学高层次人才基金项目、主持
6.面向粮食大数据的地域情感分析研究，粮食信息处理与控制教育部重点实验室、主持
三、获得学术奖励
1. Graph Regularized Locally Linear Embedding for Unsupervised Feature Selection, 河南省教育厅优秀科技论文二等奖，2023
2. Unsupervised feature selection by non-convex regularized self-representation, 河南省教育厅优秀科技论文一等奖,2022
