张万宏

伟德体育

伟德体育

张万宏,现为青海大学副教授,研究生导师,IEEE会员。

Department of Chemical Machinery, Qinghai University, Xining 810016, China

科研情况:

长期从事控制科学与工程领域的科研与教学工作,对机器学习和深度学习、线性控制理论、系统辨识、大规模网络化系统辨识、最优状态估计、信号处理和人工智能大数据挖掘与识别等方面比较娴熟,具有较强的学术科研能力和实践操作能力,先后发表包括SCI,EI、CSCD等学术论文20余篇,主持并参与多项国家和省级科研项目。2020年入选青海省“昆仑英才”高端创新创业千人人才计划项目。主要科研平台:已搭建了智能网络化系统的科研团队,构建了智能化系统实验室。科研团队的发展理念是:厚德育才,协同共创。主要研究方向:大规模网络化系统,生物系统辨识与信息处理,人工智能、机器学习及深度学习、智能化控制系统优化及分析等。主要教学课程:《自动化专业英语》,《控制系统仿真》,《自动控制理论》,《运动控制》,《机电系统分析与控制》,《模式识别基础》,《人工智能与机器学习》等。主持科研项目和成果: 国家自然科学基金项目1项,青海省科技厅自然科学基金项目1项和青海省千人计划项目1项,先后发表包括SCI,EI、CSCD等学术论文20余篇。

主要学术论文发表:

[1]Guo Zhenyu, Zhang Wanhong. An Efficient Inference Schema for Gene Regulatory Networks using Directed GraphNeural Networks. The 42nd Chinese Control Conference,2023:6829-6834.

[2]Lan Tian, Zhang Yan, Zhang Wanhong. A Rao-Blackwellised Unscented Kalman Filtering for MPPT Estimation inPhotovoltaic Systems. The 42nd Chinese Control Conference,2023:6428-6433.

[3]Lai Yonghui, Zhang Wanhong. An Improvement of Optimal Control Strategy for a Fixed Number of Control Nodes.The 42nd Chinese Control Conference,2023:1549-1554.

[4]Lan Tian, Zhang Yan, Zhang Wanhong. Model Predictive Control of Energy-Stored Quasi-Z-Source Inverter WithoutWeighting Factor. The 17th IEEE Conference on Industrial Electronics and Applications, 2022:892-899.

[5]Zhang Yan,Zhang Wanhong.Sparsest Input Selection for Controllability of Singular Systems via a Two-step Greedy Algorithm. IEEE Access, 2020.8:6591-6601.

[6]Zhang Wanhong, Zhang Yan, Liu Zengcao. SparseReconstructionbased Structure Estimation of GRNs using Time Series Experimental Data, the 29th Chinese Control and Decision Conference (CCDC),Chongqing, China,2017: 26-29.

[7]Zhang Wanhong, Zhou T, Huang B X. Outlier Deletionbased Improvement on the StOMPAlgorithm for Sparse Solution of Large-scale Underdetermined Problems. Science China Information Sciences, 2014, 57(9): 1-14.

[8]Zhang Wanhong, Zhou T. A Sparse Reconstruction Approach for Identifying Gene Regulatory Networks using Steady-state Experiment Data. PLOS ONE, 2015, 10(7):e0130979 .

[9]Zhang Wanhong, Zhou T. Reconstructing Large-scale Cellular Networks using a Sparse Approximation Approach. The 17th IFAC Symposium on System Identification, Beijing, China, 2015: 251-256.

[10]Zhang Wanhong, Huang B, Zhou T. An Improvement on StOMP for Sparse Solution of Linear Underdetermined Problems. Control Conference, 2013 32nd Chinese. Xian, China, 2013: 1951-1956.

[11]Zhang Wanhong, Zhou T. Structure Identification for a Gene Regulation Network by a Sparse Reconstruction Approach. Control Conference, 2014 33rd Chinese. Nanjing, China, 2014: 6658-6663.

邮箱:[email protected]

青海大学智能化系统实验室主页:qhu-isg.cn

联系电话:18209787078