个人简介
张晓明，男，博士，安徽大学副教授，博士生导师，省级领军人才，智能科学与网络安全研究所副所长，合肥市高层次人才C类，中国自动化学会仿真技术应用专委会委员，中国仿真学会机器人系统仿真专业委员会委员、农业建模与仿真专业委员会委员，安徽省机器人学会青年工作委员会副主任，安徽省现代农业产业技术体系（数字农业产业技术体系）岗位专家，中国自动化学会高级会员。研究方向为智能决策与群体智能，应用领域涉及知识工程、任务规划、智慧农业和智能计算。近年来，其在智能决策领域主持构建了中科知识库系统、****知识图谱与知识发现系统、基于知识图谱的机器人任务规划与调度系统，在群体智能领域创建了基于植物种群分布演化的系列群体智能算法和群体机器人协同控制算法，主持完成国家自然科学基金项目、中央军科委*****项目、国家重点研发计划子课题和中科院知识创新工程项目4项，主持完成省部级项目9项、技术开发项目3项，参与完成国家863计划、国家科技支撑计划和国家自然科学基金重点项目多项，发表科研论文50余篇，获授权发明专利13项、软件产品认证2项、软件著作权20余项、省级科技成果6项，主导发布企业标准2项。
研究领域
智能决策与群体智能，应用领域涉及知识工程、任务规划、智慧农业和智能计算
近期论文
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K. Zhong, H. Zhu, X. Zhang* and S. Zhu. Semantic Consistency Assisted Neuron Adding Network for Generalized Zero-Shot Diagnosis With Incremental Learning Capability[J]. IEEE Transactions on Network Science and Engineering, doi: 10.1109/TNSE.2025.3578860.
Xian-Jie Zhang, Xiao-Ming Zhang, Xu-Dong Huang, Hai-Feng Zhang. Hypergraph negative influence blocking maximization via influence estimation[J]. Information Processing & Management, 2025, 62(6), 104273.
K. Zhong, H. Zhu, X. Zhang*, D. Huang and M. Han. Contrastive Learning based Collaborative Modelling of Heterogeneous Data for Few-shot Fault Diagnosis[J]. IEEE Transactions on Artificial Intelligence, doi: 10.1109/TAI.2025.3577119.
Hongwei Cheng, Jun Li, Xiaoming Zhang*, Tingjuan Li, Panpan Zhang. Multi-Population Optimization Framework Based on Plant Evolutionary Strategy and Its Application to Engineering Design Problems [J]. International Journal of Computational Intelligence Systems 18, 117 (2025).
Xian-Jie Zhang, Hai-Feng Zhang, Kai Zhong, Xiao-Ming Zhang*. Simplicial complexes graph convolution networks with higher-order features learning for limited samples diagnosis[J]. Control Engineering Practice, 2025, 162: 106391.
Zhaoxing Li, Haifeng Zhang, Xiaoming Zhang*. Enhancing Anisotropy in Graph Neural Networks with Natural Language Semantics[C]. ICME2025 (CCF-B, Oral Paper, 录用率约15%)
Kai Zhong, Jiefei Yu, Song Zhu, Xiaoming Zhang*. A Unified Framework with Collaborative Reasoning Capacity for Nonuniform Industrial Processes Root Cause Identification[J]. IEEE Transactions on Instrumentation & Measurement, 2024, vol. 73, pp. 1-11. (SCI, Art no. 3540011, DOI: 10.1109/TIM.2024.3481554)
Hai-Feng Zhang, Xin-Long Lu, Xiao Ding, and Xiao-Ming Zhang*. Physics-informed line graph neural network for power flow calculation[J]. CHAOS, 2024, 34(11), 113123
Lele Xie, Xiaoli Lu, Hang Liu, Yongqiang Hu, Xiaoming Zhang*, Shangshang Yang. MOBOA: a proposal for multiple objective bean optimization algorithm[J]. Complex & Intelligent Systems, 2024, 10(5):6839-6865. (SCI, DOI:10.1007/s40747-024-01523-y)
Jun Li, Hongwei Cheng, Wang Changjian, Panpan Zhang, Xiaoming Zhang*. Reinforced robotic bean optimization algorithm for cooperative target search of unmanned aerial vehicle swarm[J]. Complex & Intelligent Systems, 2024, 10(5): 7109-7126. (SCI, DOI:10.1007/s40747-024-01536-7)
Lele Xie, Xiaoming Zhang*, Ran Hu, Shun Zhang. Dynamic Multi-Objective Optimization Time Series Ensemble Prediction Framework Based on Correlation Type Detection[C]. 2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024, pp. 1-8
张晓明*, 梁正光, 姚昌瑀, 李肇星. 融合潜在结构与语义信息的多模态推荐方法[J]. 模式识别与人工智能, 2024, 37(3): 231-241.
Haiping Ma, Changqian Wang, Hengshu Zhu, Shangshang Yang, Xiaoming Zhang, and Xingyi Zhang. Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach[C], AAAI 2024, 2024, 38(8): 8877-8885.
张晓明*, 高士杰, 姚昌瑀, 褚誉, 彭硕. 强化学习及其在机器人任务规划中的进展与分析[J]. 模式识别与人工智能, 2023, 36(10): 902-917.
刘航, 张晓明*, 汪长剑. 基于柯西分布和父种轮换机制的种子优化算法[J]. 模式识别与人工智能, 2021, 34(7): 581-591.
Xiaoming Zhang, Yongqiang Hu, Tingjuan Li. A Novel Target Searching Algorithm for Swarm UAVs Inspired from Spatial Distribution Patterns of Plant Population[J]. International Journal of Computational Intelligence Systems, 14(1), 2021:159-167.
Xiaoming Zhang*, Mohsin Ali. A Bean Optimization-Based Cooperation Method for Target Searching by Swarm UAVs in Unknown Environments[J]. IEEE Access, 2020, 8: 43850-43862.（被引用超过50次）
Xiaoming Zhang*, Tinghao Feng. Chaotic Bean Optimization Algorithm. Soft Computing, Vol.22(1), 2018:67-77.
Xiaoming Zhang, Hailei Wang, Bingyu Sun, Wenbo Li, Rujing Wang. The Markov Model of Bean Optimization Algorithm and Its Convergence Analysis, International Journal of Computational Intelligence Systems, 6(4), 2013:609-615
Bingyu Sun, Xiaoming Zhang, Jiuyong Li, Xuemin Mao. Feature Fusion Using Locally Linear Embedding for Classification. IEEE Transactions on Neural Networks, 21(1), 2010:163-168.
Bingyu Sun, Jiuyong Li, Desheng Dash Wu, Xiaoming Zhang, Wenbo Li, Kernel Discriminant Learning for Ordinal Regression, IEEE Transactions on Knowledge and Data Engineering, Vol.22, No.6, 2010:906-910.
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