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    纪良浩

    • 教授 硕士生导师
    • 性别:男
    • 毕业院校:重庆大学
    • 学历:研究生(博士后)
    • 学位:工学博士
    • 在职信息:在职
    • 所在单位:计算机学院\人工智能学院
    • 办公地点:信科大厦S309
    • 联系电话:jilh@cqupt.edu.cn
    • 电子邮箱:

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    个人简介:

    纪良浩,男,工学博士,教授,博士生导师,皇家墨尔本理工大学(RMIT)博士后,中国计算机学会高级会员,中国人工智能学会高级会员。

    主要研究兴趣包括群体智能、复杂网络与复杂系统的协同分析、智能信息处理等。近年来,主持、主研国家自然科学基金、重庆市自然科学基金等项目10余项,在IEEE Trans. on Systems Man and Cybernetics: Systems,Information Sciences,Complexity,Neurocomputing,IJCNN,IECON等国际著名期刊、旗舰会议上发表研究论文40余篇,其中二区及以上SCI检索10余篇。主编学术专著2部、教材1部,参编教材2部,获得发明专利以及实用新型专利各1项,软件著作权成果登记1项。

    入选重庆邮电大学文峰二级骨干教师支持计划(2015),曾荣获重庆市优秀教育科研成果奖二等奖(2016,第一完成人)、重庆邮电大学科研成果奖二等奖(2017,第一完成人)、重庆邮电大学教学成果奖三等奖(2015,第一完成人;2017,第二完成人)、重庆邮电大学课堂教学优秀奖(2014, 2019)、优秀教师(2013, 2015, 2016, 2018)等荣誉称号。

    担任IEEE Trans. on Systems Man and Cybernetics: Systems、Information Sciences、Nonlinear Dynamics、Journal of the Franklin Institute、Neurocomputing、Applied Soft Computing、IEEE Sensors Journal、Neural Computing and Applications 、Chin. Phys. B、Acta Phys. Sin.、Journal of Applied Mathematics、IEEE Access等二十余个SCI刊源的国际学术期刊以及WCCIIJCNNIEEE SMCIECONCCCCCDC等国际重要学术会议的审稿专家。


    科研项目

    • 合作-竞争异质多智能体系统分组一致协同演化研究,国家自然科学基金面上项目(61876200), 2019.1-2022.12

    • 基于事件触发机制的多智能体系统脉冲一致性研究,国家自然科学基金面上项目(61673080), 2017.1-2020.12

    • 大数据复杂任务的多粒度分解与联合问题求解机制研究,国家自然科学基金面上项目(61572091), 2016.1-2019.12

    • 基于复杂关系的异质多智能体网络的分组一致性动力学演化研究,重庆市基础研究与前沿探索项目(cstc2018jcyjAX0112), 2018.7-2021.6

    • 面向自动驾驶的智能感知技术研发及应用,重庆市人工智能技术创新重大主题专项重点研发项目(cstc2017rgzn-zdyfx0022), 2018.1-2020.1

    • 物联控制集成技术在汽车行业智能座舱系统上的研究及应用,重庆市产业类重点主题专项(cstc2017zdcy-zdyfx0091), 2017.9-2019.8

    • 面向PGIS的接处警指挥调度系统应用研究,重庆市科委社会事业与民生保障科技创新专项项目, 2016.10-2019.10

    • 多智能体复杂网络的牵制一致性研究,重庆市教委科学技术研究项目(KJ1400403), 2014.1-2016.12

    • 多智能体网络分组一致动力学行为分析与研究,重庆市基础与前沿研究计划项目(cstc2014jcyjA40047), 2014.7-2017.6

    • 基于在线社交网络的舆情演化及社会化协同过滤推荐算法研究,重庆市科委(cstc2011jjA40045), 2011.10-2014.9

    • 多智能体网络分组一致性问题研究,重庆邮电大学博士启动项目(A2014-20), 2014.10-2017.9

    • 个性化服务技术在电子商务中的应用研究,重庆市教委人文社科项目(10SKF10), 2010.4-2011.9

    • 基于协作过滤的个性化服务技术研究,重庆邮电大学自然科学基金(A2007-29), 2007.7-2008.7


    科研论文

    • 纪良浩,杨莎莎,蒲兴成,段小林,多智能体系统一致性协同演化控制理论与技术,科学出版社,201912月,ISBN978-7-03-062742-1[专著]

    • Lianghao Ji*, Ting Gao and Xiaofeng Liao, Couple-group consensus for cooperative-competitive heterogeneous multi-agent systems: hybrid adaptive and pinning methods, IEEE Transactions on Systems, Man, and Cybernetics: Systems, In press, Doi: 10.1109/TSMC.2019.2951787.

    • Lianghao Ji*, Xinghuo Yu, and Chaojie Li, Group consensus for heterogeneous multi-agent systems in the competition networks with input time delays. IEEE Transactions on Systems, Man, and Cybernetics: Systems, Regular Paper, In press, Doi:10.1109/TSMC.2018.2858556.

    • Fengmin Yu, Lianghao Ji*and Shasha Yang, Group consensus for a class of heterogeneous multi-agent networks in the competition systems. Neurocomputing, In Press. DOI:10.1016/j.neucom.2019.05.091.

    • Lianghao Ji, Yue Zhang, YiLiu  Jiang, Yang Zou, Group Consensus for Discrete-time Heterogeneous Multi-agent Systems in the Competition Networks with Input Time DelaysCCDC 2019June 3-5Nanchang, China, 2019, pp. 2769-2774.  (EI:20194207534187).

    • Ting Gao, Lianghao Ji*, Couple-group consensus for cooperative-competitive heterogeneous multi-agent systems with pinning controlIEEE ICCSS 2019.

    • Fengmin Yu, Nanxiang Yu*, LiangHao Ji, Cluster consensus for a class of delayed discrete time Multi-agent systems, CCC2019.

    • Xingcheng Pu, Chaowen Xiong, Lianghao Ji and Longlong Zhao, Weighted Couple-Group Consensus Analysis of Heterogeneous Multiagent Systems with Cooperative–Competitive Interactions and Time Delays, Complexity,2019Doi:10.1155/2019/8012890. (SCI:HZ9VN; EI:20191506759922 )

    • 高炎秋,纪良浩*,高婷,于南翔,一类离散时延多智能体系统的安全一致性研究,中国自动化大会2019CAC2019.

    • Jianlei Xu, Shasha Yang, Qianzhu Wang and Lianghao Ji, Couple-group consensus for heterogeneous multi-agent systems with event-triggered methods, IEEE ICCSS 2019.

    • Yiliu Jiang, Lianghao Ji*, Qun Liu, Shasha Yang and Xiaofeng Liao, Couple-Group Consensus for Discrete-Time Heterogeneous Multiagent Systems with Cooperative-Competitive Interactions and Time Delays, Neurocomputing, 2018,319:92-101.(SCI:GV6NQ; EI:20183805834207)

    • Yiliu Jiang, Lianghao Ji*, Xingcheng Pu and Qun Liu, Group consensus for discrete-time heterogeneous multi-agent systems with input and communication delaysComplexity, vol. 2018,  2018. Doi:10.1155/2018/8319537. (SCIGY5KD)

    • Lianghao Ji*, Yue Zhang, Yiliu Jiang, Couple-group consensus: a class of delayed heterogeneous multiagent systems in competitive networks, Complexity, vol. 2018, 2018doi: 10.1155/2018/7386729. (SCIGX1AA)

    • 纪良浩*,赵新月.多时滞影响下多智能体网络的分组一致性,系统仿真学报,2018,33(4):1287-1293

    • Lianghao Ji*, Yukun Geng, Yu Dai, On reaching weighted consensus for second-order delayed multi-agent systems,  IWCSN2017(the 14th International Workshop on Complex Systems and Networks), Dec. 8-10, 2017, Doha, Qatar, pp. 198-204.

    • Nanxiang Yu, Lianghao Ji* and Fengmin yu, Heterogeneous and Competitive Multi-agent Networks: Couple-group Consensus with communication or input Time Delays, ComplexityVol 20172017. Doi: 10.1155/2017/2075603. (SCI: FR1FU)

    • Lianghao Ji*, Nanxiang Yu and Yong Wang, Couple-group Consensus for Heterogeneous and Competitive Complex Multi-agent Systems with Multiple Time Delays. IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics SocietyBeijing, 2017, 29 Oct.-1 Nov., 5737-5742.Flagship Conference, EI:20182005185091

    • Liang-hao Ji and Xin-yue Zhao, On Couple-Group Consensus of Multiagent Networks with Communication and Input Time Delays, Journal of Control Science and Engineering, vol. 2016, pp. 1-9, 2016. Doi:10.1155/2016/2625497.(EI20164903082688)

    • Lianghao Ji, Yi Tang, and Qun LiuOn hybrid adaptive and pinning consensus for multi-agent networks, Mathematical Problems in Engineering, vol. 2016,2016,Doi:10.1155/2016/9127356.(SCIEE4OKEI20165103131408)

    • Lianghao Ji, Yi Tang, Qun Liu, Xiaofeng Liao, On adaptive pinning consensus for dynamic multi-agent networks with general connected topology. 2016 IEEE International Joint Conference on Neural Networks (IJCNN2016, as part of WCCI 2016 IEEE World Congress on Computational Intelligence), 24-29 July 2016, Vancouver, Canada, pp. 5281-5287. (CCF C, EI20165203193882)

    • Q Liu, S Yang, L Zhang, L JiGame-theory-based coordination in wireless sensor and actor networks, IET Wireless Sensor Systems, 2016,6(5):166-172. (EI: 20163902856503)

    • 刘群,孙红涛,纪良浩. 一种融合文本语义和情感分析的好友推荐方法. 系统仿真学报,2016, 28(11):2852-2859.

    • 纪良浩,王慧维,李华青,分布式多智能体网络一致性协调控制理论,科学出版社,201510月,ISBN978-7-03-045753-0[专著]

    • Lianghao Ji, Qun Liu, Xiaofeng Liao, On reaching group consensus for linearly coupled multi-agent networks. Information Sciences, 2014, 287:1-12.  (SCI: AQ1KX, EI: 20143718148964)

    • Xiaofeng Liao, Lianghao Ji. On pinning group consensus for dynamical multi-agent networks with general connected topology. Neurocomputing, 2014, 135:262-267. (SCI: AH1HM; EI: 20141517555580)

    • Ji Liang-Hao,Liao Xiao-Feng and Chen Xin.  Pinning Consensus Analysis of Multi-agent Networks with Arbitrary Topology. Chinese Physics B, 2013, 22 (9): 090202(1)- 090202(7). (SCI: 226AN;EI: 20134216850631)

    • Ji Liang-Hao,Liao Xiao-Feng. Consensus problems of first-order dynamic multi-agent systems with multiple time delays. Chinese Physics B, 2013, 22(4): 040203(1)-040203(6). (SCI: 119UI; EI: 20131616216763)

    • Ji Liang-Hao,Liao Xiao-Feng,Liu Qun. Group consensus analysis of multi-agent systems with delays. Acta Physica Sinica, 2012, 61(22): 220202(1)-220202(8). (SCI: 114HV)

    • Ji Liang-Hao,Liao Xiao-Feng. Consensus analysis of multi-agent system with multiple time delays. Acta Physica Sinica, 2012, 61(15): 150202(1)-150202(9). (SCI: 010IW) 

    联系方式

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    教育经历

    2016.4 -- 2017.4
    澳大利亚皇家墨尔本理工大学     

    2014.8 -- 2014.9
    美国北亚利桑那大学     

    2011.9 -- 2014.6
    重庆大学       工学博士

    2004.9 -- 2007.6
    重庆邮电大学       工学硕士

    1997.9 -- 2001.7
    武汉理工大学       工学学士

    工作经历

    2018.1 -- 至今

    计算机基础教研部      主任

    2014.12 -- 至今

    计算机专业实验中心      主任

    2010.7 -- 至今

    计算机公共基础实验教学研究中心      副主任

    2007.10 -- 至今

    计算机实验教学中心      副主任

    社会兼职

  • 中国计算机学会高级会员;
    中国人工智能学会高级会员;
    中国计算机学会青少年奥林匹克信息竞赛(CCF NOIP)技术委员会委员;
    国家自然科学基金评议专家;
    陕西省科技厅自然科学基金项目评审专家;
    河北省科技厅科技奖励评审专家;

  • 研究方向

  • 智能信息处理。

  • 复杂网络与复杂系统的协同控制理论与应用;

  • 群体智能;