一、基本信息
范钦伟 教授
研究领域：人工智能，机器学习，神经网络，群体智能优化算法，稀疏优化理论
电子邮箱：[email protected]
二、个人简介
范钦伟，男，教授，博士生导师、硕士生导师。主要从事机器学习、神经网络结构稀疏优化及相关理论和应用、群智能优化算法等方向的研究工作。
2014年博士毕业于大连理工大学数学科学学院，期间到美国路易斯维尔大学联合培养。近年来，在国内外知名期刊发表学术论文62篇，其中SCI检索论文50余篇，含ESI热点论文1篇，ESI高被引论文2篇，最高单篇引用100余次；主持各类基金项目12项，其中，在研国家自然科学基金面上项目1项，主持结题优秀博士后文库资助项目1项，省部级科研项目2项，其他各类横、纵项科研项目8项。参与国家自然科学基金面上项目3项，国家自然科学基金青年项目4项；获得陕西省高等学校科学技术奖1项，陕西省高等教育教学成果二等奖1项（4/5）；科学出版社出版英文专著2部。
社会服务方面，任教育部全国研究生教育评估监测专家库专家，IEEE计算智能学会(CIS)计算金融与经济技术委员会副主席，国际期刊Neural Computing and Applications编委，Symmetry客座编委，美国数学会评论员（No: 172659）、陕西省数学会理事等。
三、教育背景
2010.09-2014.06 大连理工大学 计算数学 博士
2012.08-2013.09 美国路易斯维尔大学 电器与计算机工程系 博士联合培养
2007.09-2010.03 天津工业大学 数学与应用数学 硕士
2001.09-2005.06 商丘师范学院 数学与应用数学 本科
四、职业经历
2023.8-至今， 快猫app
，快猫app
，教授
2014.6-2023.8 西安工程大学，理学院，教授
2018.9-2018.10，密德萨斯大学、剑桥大学，访问交流
五、教授课程
《数学分析》、《高等数学》、《数值计算》、《复变函数》、《现代智能优化算法》、《神经网络》、《机器学习》、《概率论与数理统计》、《线性代数》等。
六、科研服务
1. 基于图神经网络的大规模动态异质图表示学习方法研究，国家自然科学基金面上项目，No. 12471482，2025/01-2028/12， 主持.
2. 优秀《博士后文库》资助项目，中国博士后基金委，2024，主持.
七、近期发表部分论文
1. Qinwei Fan*, Qianru Huang, Jacek M. Zurada, Jigen Peng, Haiyang Li. Graph Regularization for High Order Neural Networks: Boundedness, Convergence, and Enhanced Performance with Entropy Error Function. IEEE Computational Intelligence Magazine. 1-14 (2026) 188,114033.
2. Yunlong Liu, Qinwei Fan*, Xiaofei Yang. Analysis of Adaptive Optimal Control Theory for Nonzero Sum Stackelberg Game Based on High-order Neural Networks and Conjugate Gradient Method. Neurocomputing, 686 (2026) 133618.
3. Qinwei Fan*, Dewei Yang, Jigen Peng, Haiyang Li, Jian Wang. Decomposition Based Multi-objective Evolutionary Algorithm for Bi-optimal Selection. Swarm and Evolutionary Computation, 100 (2026) 102228.
4. Qinwei Fan*, Lin Li. Convergence Analysis of Recurrent Neural Networks Based on Sparse Mechanism and Its Application to Time Series and Multiple Classification Problems. Applied Soft Computing, 188 (2026) 114033.
5. Qinwei Fan*, Shuai Zhao, Jacek M. Zurada, Tingwen Huang, Xiaolong Qin, Rui Zhang. Bidirectional Convolutional Recurrent Neural Network Improved by Regularization and Swarm Intelligence Optimization. IEEE Transactions on neural networks and learning systems, 36(2) (2025) 20009-20023.
6. Qinwei Fan*, Deqing Ji. Identification and Convergence Analysis of Interval Type-2 Takagi-Sugeno-Kang Fuzzy Systems for High-Dimensional Classification Problems.IEEE Transactions on Fuzzy Systems，33(5) (2025) 1525-1539.
7. Qinwei Fan*, Li Zhou, Jacek M. Zurada, Jigen Peng, Haiyang Li, Jian Wang, Dakun Yang. Convergence Analysis of Regularized Elman Neural Networks Under Relaxed Conditions. IEEE Transactions on Systems Man Cybernetics-Systems, 55(1) (2025) 430-442.
8. Zhenxing Yu , Qinwei Fan*, Jacek M. Zurada Life Fellow, IEEE, Jigen Peng, Haiyang Li, Jian Wang. Solving Sparse Multi-Objective Optimization Problems via Dynamic Adaptive Grouping and Reward Penalty Sparse Strategies. Swarm and Evolutionary Computation，94 (2025)101881.
9. Dewei Yang, Qinwei Fan*. Gradient-based Hybrid Method for Multi Objective Optimization Problems. Expert Systems With Applications, 272 (2025)126675.
10. Qingmei Dong, Qinwei Fan*, Zhiwei Xing. Reinforced Fuzzy Neural Networks Based on Maximum Entropy Clustering and Conjugate Gradient Method. Engineering Applications of Artificial Intelligence, 142(2025) 109909.
11. Qianru Huang, Qinwei Fan*, Zhiwei Xing, Xiaofei Yang, Xingshi He. Convergence Analysis of A Novel High Order Networks Model Based on Entropy Error Function. Mathematics and Computers in Simulation, 227 (2025) 405-419.
12. Qinwei Fan*, Qian Kang, Jacek M. Zurada, Tingwen Huang, Dongpo Xu. Convergence Analysis of Online Gradient Method for High-order Neural Networks and Their Sparse Optimization. IEEE Transactions on Neural Networks and Learning Systems, 35(12)(2024)18687-18701.
13. Deqing Ji, Qinwei Fan*, Qingmei Dong, Yunlong Liu. Convergence Analysis of Sparse TSK Fuzzy Systems Based on Spectral Dai-Yuan Conjugate Gradient and Application to High-dimensional Feature Selection. Neural Networks, 179 (2024) 106599.
14. Qinwei Fan*, Shuai Zhao, Meiling Shang, Zhanli Wei, Xiaodi Huang. An Improved Genetic Salp Swarm Algorithm with Population Partitioning for Numerical Optimization. Information Sciences, 679 (2024) 120895.
15. Shuai Zhao, Qinwei Fan*, Qingmei Dong. Efficient Construction and Convergence Analysis of Sparse Convolutional Neural Networks. Neurocomputing, 597(2024) 128032.
16. Qinwei Fan*, Fengjiao Zheng, Xiaodi Huang, Dongpo Xu. Convergence Analysis for Sparse Pi-Sigma Neural Network Model with Entropy Error Function. International Journal of Machine Learning and Cybernetics, 14 (2023) 4405-4416.
17. Qian Kang, Qinwei Fan*, Jacek M. Zurada, Tingwen Huang. A Pruning Algorithm with Relaxed Conditions for High-order Neural Networks Based on Smoothing Group L1/2 Regularization and Adaptive Momentum. Knowledge-Based Systems. 257 (2022) 109858.
18. Qinwei Fan*, Qian Kang, Jacek M. Zurada. Convergence Analysis for Sigma pi Sigma Neural Network Based on Some Relaxed Conditions. Information Sciences. 585 (2022) 70-88.
19. Qinwei Fan*, Zhiwen Zhang, Xiaodi Huang, Parameter conjugate gradient with secant equation based Elman neural network and its convergence analysis. Advanced Theory and Simulations. 2022, 1-12.
20. Qian Kang, Qinwei Fan*, Jacek M. Zurada, Deterministic Convergence Analysis via Smoothing Group Lasso Regularization and Adaptive Momentum for Sigma-pi-Sigma Neural Network. Information Sciences. 553 (2022) 66-82.
