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李华青

研究领域:机器学习与人工智能、智能电网等

主讲课程:

电子邮箱: huaqingli@hotmail.com,lhq_jsack@126.com

李华青,男,1987年3月生,重庆巴南人,博士,教授,博士生导师。主要从事机器学习与人工智能、智能电网等方面的研究工作。曾先后在德州农工大学卡塔尔分校做访问学者,澳大利亚悉尼大学、新加坡南洋理工大学做博士后。担任非线性电路与智能信息处理重庆市重点实验室主任。担任国际SCI期刊Neural Computing and Applications和IEEE Access的副主编(Associate Editor)。近年来以第一作者身份在在包括IEEE Transactions on Automatic Control, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics等SCI收录的国际著名期刊上发表学术论文30多篇,其中IEEE Transactions系列论文19篇。作为项目负责人主持国家自然科学基金面上项目在内的基金项目10余项。荣获2017年重庆市自然科学一等奖(4/5)、2017年中国指挥与控制学会科学技术奖-创新奖二等奖(1/1)和2017、2018年重庆市科学技术协会自然科学优秀学术论文奖等科研奖励。担任国家自然科学基金通讯评审专家,教育部学位与研究生教育发展中心学位论文通讯评审专家,30余个国际SCI期刊和20余个国际学术会议的同行审稿人。2018年入选重庆市高层次人才特殊支持计划(特支计划)—青年拔尖人才。2020年晋升IEEE Senior Member。


获奖情况

2019年获第六届信息、控制论及计算社会系统国际会议(ICCSS 2019)“扎德”最佳论文奖(1/3)

2019年获第十四届中国研究生电子设计竞赛优秀指导教师

2019年获重庆市电子学会十佳科技工作者

2019年获得welcome皇冠地址优秀班主任称号

2018年入选重庆市高层次人才特殊支持计划(重庆特支计划)—青年拔尖人才

2018年获重庆市科学技术协会自然科学优秀学术论文奖(1/4)

2017年获重庆市自然科学一等奖(4/5)

2017年获中国指挥与控制学会创新奖二等奖(1/1)

2017年获重庆市科学技术协会自然科学优秀学术论文奖(1/6)

2016年获重庆市优秀博士学位论文奖

2013年获黄尚廉院士青年创新奖

2012年获博士研究生国家奖学金

2012年获教育部博士研究生学术新人奖

2009年获重庆邮电大学校长荣誉奖

2007年获重庆市三好学生

教育经历

2011.03-2013.12, 重庆大学,计算机学院(硕博连读),工学博士

2009.09-2011.02, 重庆大学,计算机学院,硕士阶段学习

2005.09-2009.07, 重庆邮电大学,数理学院,理学学士

研究/工作经历

2018.07- 现在, welcome皇冠地址, welcome皇冠地址,教授

2019.07-2019.09, 德州农工大学卡塔尔分校,科学系,高级访问学者

2014.01-2018.06, welcome皇冠地址, welcome皇冠地址,副教授

2012.10-2013.04, 德州农工大学卡塔尔分校,科学系,访问学者

2017.07-2017.10, 德州农工大学卡塔尔分校,科学系,高级访问学者

2014.09-2015.09, 澳大利亚悉尼大学,电气信息工程学院,博士后

2015.10-2016.11, 新加坡南洋理工大学,电气与电子工程学院,博士后

代表性成果

[1] Huaqing Li, Qingguo Lü, Guo Chen, Zhaoyang Dong, and Tingwen Huang.Distributed Constrained Optimization over Unbalanced Directed Networks Using Asynchronous Broadcast-Based Algorithm,IEEE Transactions on Automatic Control, DOI: 10.1109/TAC.2020.2994024, Regular Paper.

[2] Huaqing Li, Chicheng Huang, Guo Chen, Zhaoyang Dong, and Zheng Wang. Computation-Efficient Distributed Algorithm for Convex Optimization over Time-Varying Networks with Limited Bandwidth Communication,IEEE Transactions on Signal and Information Processing over Networks, vol. 6, pp. 140-151, Jun. 2020.

[3] Huaqing Li, Qingguo Lü and Tingwen Huang. Distributed Projection Subgradient Algorithm over Time-Varying General Unbalanced Directed Graphs,IEEE Transactions on Automatic Control,vol. 64, no. 3, pp. 1309-1316, Mar, 2019.

[4]H uaqing Li, Qingguo Lü and Tingwen Huang. Convergence Analysis of a Distributed Optimization Algorithm with a General Unbalanced Directed Communication Network,IEEE Transactions on Network Science and Engineering, vol. 6, no. 3, pp. 237-248, Jul.-Sept. 2019.

[5] Huaqing Li, Qingguo Lü, Xiaofeng Liao and Tingwen Huang. Accelerated Convergence Algorithm for Distributed Constrained Optimization under Time-Varying General Directed Graphs,IEEE Transactions on Systems, Man, and Cybernetics: Systems,DOI: 10.1109/TSMC.2018.2823901.

[6] Huaqing Li, Shuai Liu, Yeng Chai Soh and Lihua Xie. Event-Triggered Communication and Data Rate Constraint for Distributed Optimization of Multi-Agent Systems,IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 48, no. 11, pp. 1908-1919, Nov. 2018.

[7] Huaqing Li,Chicheng Huang, Guo Chen, Xiaofeng Liao and Tingwen Huang.Distributed Consensus Optimization in Multi-AgentNetworks with Time-Varying Directed Topologiesand Quantized Communication,IEEE Transactions on Cybernetics, vol. 47, no. 8, pp. 2044-2057, Aug. 2017.

[8] Huaqing Li, Guo Chen, Tingwen Huang and Zhaoyang Dong. High Performance Consensus Control in Networked Systems with Limited Bandwidth Communication and Time-Varying Directed Topologies,IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 5, pp. 1043-1054, May, 2017.

[9] Huaqing Li, Guo Chen, Xiaofeng Liao and Tingwen Huang. Attraction Region Seeking for Power Grids,IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 64, no. 2, pp. 201-205, Feb. 2017.

[10] Huaqing Li, Guo Chen, Tingwen Huang, Zhaoyang Dong, Wei Zhu and Lan Gao. Event-Triggered Distributed Consensus over Directed Digital Networks with Limited Bandwidth,IEEE Transactions on Cybernetics, vol. 46, no. 12, pp. 3098-3110, Dec. 2016.

[11] Huaqing Li, Guo Chen, Xiaofeng Liao and Tingwen Huang. Quantized Data-Based Leader-Following Consensus of General Discrete-Time Multi–Agent Systems,IEEE Transactions on Circuits and Systems IIExpress Briefs, vol. 63, no. 4, pp. 401-405, Apr. 2016.

[12] Huaqing Li, Xiaofeng Liao, Tingwen Huang and Wei Zhu. Event-Triggering Sampling Based Leader-Following Consensus in Second-Order Multi-Agent Systems,IEEE Transactions on Automatic Control, vol. 60, no. 7, pp. 1998-2003, Jul. 2015.

[13] Huaqing Li, Xiaofeng Liao, Tingwen Huang, Wei Zhu and Yanbing Liu. Second-Order Global Consensus in Multiagent Networks with Random Directional Link Failure,IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 3, pp. 565-575, Feb. 2015.

[14] Huaqing Li, Xiaofeng Liao and Tingwen Huang. Second-Order Dynamic Consensus of Multi-Agent Systems with Arbitrarily Fast Switching Topologies,IEEE Transactions on Systems Man and Cybernetics: Systems, vol. 43, no. 6, pp. 1343-1353, Nov. 2013.

[15] Huaqing Li, Xiaofeng Liao, Xinyu Lei, Tingwen Huang and Wei Zhu. Second-order Consensus Seeking in Multi-Agent Systems with Nonlinear Dynamics over Random Switching Directed Networks,IEEE Transactions on Circuits and Systems—I: Regular Papers, vol. 60, no. 6, pp. 1595–1607, Jun. 2013.

[16] Huaqing Li, Xiaofeng Liao and Ruijin Liao. A Unified Approach to Chaos Suppressing and Inducing in a Periodically Forced Family of Nonlinear Oscillators,IEEE Transactions on Circuits and Systems—I: Regular Papers, vol. 59, no. 4, pp. 784-795, Apr. 2012.

[17] Huaqing Li, Zheng Wang, Guo Chen and Zhaoyang Dong. Distributed Robust Algorithm for Economic Dispatch in Smart Grids over General Unbalanced Directed Networks,IEEE Transactions on Industrial Informatics, vol. 17, no. 7, pp. 4322-4332, Jul. 2020.

[18] Huaqing Li,Qingguo Lü, Guo Chen, Tingwen Huang and Zhaoyang Dong.Convergence of Distributed Accelerated Algorithm over Unbalanced Directed Networks,IEEE Transactions on Systems, Man, and Cybernetics: Systems, DOI: 10.1109/TSMC.2019.2946287.

[19] Huaqing Li, Zheng Wang, Dawen Xia and Qi Han. Random Sleep Scheme Based Distributed Optimization Algorithm over Unbalanced Time-Varying Networks,IEEE Transactions on Systems, Man, and Cybernetics: Systems, DOI: 10.1109/TSMC.2019.2945864.

[20] Zheng Wang andHuaqing Li,Edge-based Stochastic Gradient Algorithm for Distributed Optimization,IEEE Transactions on Network Scienceand Engineering,DOI: 10.1109/TNSE.2019.2933177.

[21] Qingguo Lü, Xiaofeng Liao,Huaqing Li, and Tingwen Huang, Privacy Masking Stochastic Subgradient-Push Algorithm for Distributed Online Optimization,IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2020. 2973221.

[22] Qingguo Lü, Xiaofeng Liao,Huaqing Li,and Tingwen Huang, A Nesterov-Like Gradient Tracking Algorithm for Distributed Optimization over Directed Networks,IEEE Transactions on Systems, Man, and Cybernetics: Systems, DOI: 10.1109/TSMC.2019.2960770.

[23] Qingguo Lü, Xiaofeng Liao,Huaqing Li, and Tingwen Huang, Achieving Acceleration for Distributed Economic Dispatch in Smart Grids over Directed Networks,IEEE Transactions on Network Science and Engineering, DOI:10.1109/TNSE.2020.2965999.

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