肖林，男，1986年出生，湖南邵阳人，博士，教授，湖南省优秀青年基金获得者，入选湖南省首届“三尖”创新人才（湖南省青年科技人才、湖湘英才）。现任湖南师范大学“潇湘学者”特聘教授，博士生导师，副院长。受邀担任IEEE Transactions on Neural Networks and Learning Systems (IEEE-TNNLS)期刊编委，CAAI Transactions on Intelligence Technology青年编委。担任国家自然科学基金评审专家，科技部外国专家项目评审专家，教育部学位与研究生教育发展中心论文评审专家。是湖南省普通高校青年骨干教师，湖南师范大学“国家优秀青年科学基金”重点培育人才。担任中国自动化学会自适应动态规划与强化学习专委会委员，中国人工智能学会模式识别专委会委员，中国人工智能学会模式识别专委会委员，中国人工智能学会青年工作委员会委员，湖南省计算机学会理事。主要研究方向为人工智能、神经网络、机器人控制、智能控制、多智能体系统、智能信息处理、分布式控制和优化。
2014年6月博士毕业于中山大学，先后在香港理工大学和英国提赛德大学进行访问研究。近年来，主持国家自然科学基金项目2项、湖南省自然科学基金项目3项、湖南省教育厅优秀青年项目和重点项目各1项；发表论文和著作100余篇/部，其中IEEE Transactions期刊论文50余篇、国际主流SCI期刊论文90余篇；授权专利和软件著作权多项。入选全球前2%顶尖科学家年度和终身科学影响力榜单；入选全球顶尖前10万名科学家榜单；以第一完成人获2021年度湖南省自然科学二等奖。
欢迎勤思好学、数学基础较好、编程能力较强，计算机、控制工程、软件工程、通信工程、电子信息工程以及数学等相关专业学生报考研究生。
联系方式：xiaolin860728@163.com (常用邮箱)；xiaolin5@hunnu.edu.cn
代表性论文如下：
1.Lin Xiao*, Sai Liu, Xin Wang, Yongjun He, Lei Jia, Yang Xu: Zeroing Neural Networks for Dynamic Quaternion-Valued Matrix Inversion. IEEE Trans. Ind. Informatics 18(3): 1562-1571 (2022)
2.Lei Jia, Lin Xiao*, Jianhua Dai, Yingkun Cao: A Novel Fuzzy-Power Zeroing Neural Network Model for Time-Variant Matrix Moore-Penrose Inversion With Guaranteed Performance. IEEE Trans. Fuzzy Syst. 29(9): 2603-2611 (2021)
3.Lei Jia, Lin Xiao*, Jianhua Dai, Zhaohui Qi, Zhijun Zhang, Yongsheng Zhang: Design and Application of an Adaptive Fuzzy Control Strategy to Zeroing Neural Network for Solving Time-Variant QP Problem. IEEE Trans. Fuzzy Syst. 29(6): 1544-1555 (2021)
4.Lin Xiao*, Yongjun He: A Noise-Suppression ZNN Model With New Variable Parameter for Dynamic Sylvester Equation. IEEE Trans. Ind. Informatics 17(11): 7513-7522 (2021)
5.Lin Xiao*, Yongsheng Zhang, Jianhua Dai, Qiuyue Zuo, Shoujin Wang: Comprehensive Analysis of a New Varying Parameter Zeroing Neural Network for Time Varying Matrix Inversion. IEEE Trans. Ind. Informatics 17(3): 1604-1613 (2021)
6.Jianhua Dai, Lei Jia, Lin Xiao*: Design and Analysis of Two Prescribed-Time and Robust ZNN Models With Application to Time-Variant Stein Matrix Equation. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1668-1677 (2021)
7.Lin Xiao*, Yingkun Cao, Jianhua Dai, Lei Jia, Haiyan Tan: Finite-Time and Predefined-Time Convergence Design for Zeroing Neural Network: Theorem, Method, and Verification. IEEE Trans. Ind. Informatics 17(7): 4724-4732 (2021)
8.Lin Xiao*, Yongsheng Zhang, Jianhua Dai, Jichun Li, Weibing Li: New Noise-Tolerant ZNN Models With Predefined-Time Convergence for Time-Variant Sylvester Equation Solving. IEEE Trans. Syst. Man Cybern. Syst. 51(6): 3629-3640 (2021)
9.Zeshan Hu, Lin Xiao*, Jianhua Dai, Yang Xu, Qiuyue Zuo, Chubo Liu: A Unified Predefined-Time Convergent and Robust ZNN Model for Constrained Quadratic Programming. IEEE Trans. Ind. Informatics 17(3): 1998-2010 (2021)
10.Lin Xiao*, Jianhua Dai, Long Jin, Weibing Li, Shuai Li, Jian Hou: A Noise-Enduring and Finite-Time Zeroing Neural Network for Equality-Constrained Time-Varying Nonlinear Optimization. IEEE Trans. Syst. Man Cybern. Syst. 51(8): 4729-4740 (2021)
11. Lin Xiao*, Juan Tao, Jianhua Dai, Yaonan Wang, Lei Jia, Yongjun He: A Parameter-Changing and Complex-Valued Zeroing Neural-Network for Finding Solution of Time-Varying Complex Linear Matrix Equations in Finite Time. IEEE Trans. Ind. Informatics 17(10): 6634-6643 (2021)
12.Lin Xiao*, Yongsheng Zhang, Qiuyue Zuo, Jianhua Dai, Jichun Li, Wensheng Tang: A Noise-Tolerant Zeroing Neural Network for Time-Dependent Complex Matrix Inversion Under Various Kinds of Noises. IEEE Trans. Ind. Informatics 16(6): 3757-3766 (2020)
13.Lin Xiao*, Jianhua Dai, Rongbo Lu, Shuai Li, Jichun Li, Shoujin Wang: Design and Comprehensive Analysis of a Noise-Tolerant ZNN Model With Limited-Time Convergence for Time-Dependent Nonlinear Minimization. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5339-5348 (2020)
14.Lin Xiao*, Shuai Li, Kenli Li, Long Jin, Bolin Liao: Co-Design of Finite-Time Convergence and Noise Suppression: A Unified Neural Model for Time Varying Linear Equations With Robotic Applications. IEEE Trans. Syst. Man Cybern. Syst. 50(12): 5233-5243 (2020)
15.Lin Xiao, Yunong Zhang: A New Performance Index for the Repetitive Motion of Mobile Manipulators. IEEE Trans. Cybern. 44(2): 280-292 (2014)
16.Lin Xiao*, Shuai Li, Faa-Jeng Lin, Zhiguo Tan, Ameer Hamza Khan: Zeroing Neural Dynamics for Control Design: Comprehensive Analysis on Stability, Robustness, and Convergence Speed. IEEE Trans. Ind. Informatics 15(5): 2605-2616 (2019)
17.Lin Xiao*, Kenli Li, Mingxing Duan: Computing Time-Varying Quadratic Optimization With Finite-Time Convergence and Noise Tolerance: A Unified Framework for Zeroing Neural Network. IEEE Trans. Neural Networks Learn. Syst. 30(11): 3360-3369 (2019)
18.Lin Xiao*, Yongsheng Zhang, Zeshan Hu, Jianhua Dai: Performance Benefits of Robust Nonlinear Zeroing Neural Network for Finding Accurate Solution of Lyapunov Equation in Presence of Various Noises. IEEE Trans. Ind. Informatics 15(9): 5161-5171 (2019)
19. Lin Xiao*, Zhijun Zhang, Shuai Li: Solving Time-Varying System of Nonlinear Equations by Finite-Time Recurrent Neural Networks With Application to Motion Tracking of Robot Manipulators. IEEE Trans. Syst. Man Cybern. Syst. 49(11): 2210-2220 (2019)
20. Lin Xiao*, Bolin Liao, Shuai Li, Zhijun Zhang, Lei Ding, Long Jin: Design and Analysis of FTZNN Applied to the Real-Time Solution of a Nonstationary Lyapunov Equation and Tracking Control of a Wheeled Mobile Manipulator. IEEE Trans. Ind. Informatics 14(1): 98-105 (2018)
更多论文列表可参考Researchgate个人主页：https://www.researchgate.net/profile/Lin-Xiao-20/research