教师介绍


安吉尧，博士，教授，湖南慈利人，1998年硕士毕业于湘潭大学，2012年博士毕业于湖南大学。1998年就职于湖南创智软件园有限公司，曾担任软件设计师和项目组主管。2000年8月加入湖南大学计算机科学系。2013-2014年加拿大滑铁卢大学访问****，进行模糊系统及应用方面的研究与交流。

中文名： 安吉尧 英文名：
学历： 职称： 教授
联系电话： 电子邮件： jt_anbob@hnu.edu.cn
研究方向： 1）计算智能与大数据分析；2）深度学习及其可解释性；3）新一代汽车CPS关键技术；4）模糊系统及应用
联系地址： 湖南省长沙市岳麓区麓山南路2号,湖南大学信息科学与工程学院（410082）
所属机构： 计算机工程系 学院教师




个人信息
安吉尧 博士，教授，博士生导师。CCF高级会员，CAAI会员，IEEE会员，ACM会员。近年已在IEEE TFS、TPDS、TC、TSC、TCAD、TITS、TII、TSMCS，FSS，ISA Trans，FI，FGCS，JNSA；Fuzz-IEEE，MSC，IECON，ISIE，CIKM等国际著名学术期刊和会议上发表六十余篇高水平论文，SCIE检索四十余篇，在湖南大学所在学科（ESI）作者贡献中排名前10%。已主持和主研国家重点研发计划专项、国家自然科学基金重点项目/面上项目、教育部重点项目、863重点项目、省科技项目等19项，申请/授权国家发明专利十二项，软件著作权两项。兼任教育部学位与研究生教育评估专家，国家自然科学基金通讯评审专家，国家留学基金委出国人才项目评审专家，北京市自然科学基金评审专家，湖南省科技咨询与评审专家，湖南省高新技术企业认定评审专家，湖南省科技奖励评审专家等。是CCF嵌入式系统专业委员会委员，CCF大数据专家委员会委员，CAAI科普工作委员会委员。也是TIE、TFS、TII、TSP、TCyb、InformSci、ASC、JCAS等多个国际知名SCI期刊的特约审稿人，MSC、ICCSA等国际著名学术会议程序委员会委员（TPC Member）。
目前研究兴趣：
1）计算智能与大数据分析；
2）深度学习及其可解释性；
3）新一代汽车CPS关键技术；
4）模糊系统及应用。


Teaching Courses: Combinatorial Optimization Theory and Algorithm, 2020 spring/autumn;Policydecision, Planing and Control, 2020 autumn.


Jiyao AN, Ph.D, Professor, Ph.D. supervisor of College of Computer Science and Electronic Engineering, Hunan University.

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NOTE: I am always looking for collaboration with other academic staffs, industry partners and potential research students for exciting research work. If you are interested in my research areas, please feel free to contact me. Particularly, I am very interested in the following topics at the moment:
Research Interesting Areas: Computational Intelligence and Big Data Analysis,Deep learning model and itsinterpretability, Automotive CPS,FuzzySystem and Application, etc..
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Department of Computer Engineering,
College of Computer Science and Electronic Engineering,
Hunan University
#2 Lushan Road (South), Yuelu District,
Changsha, 410082,China
Fax: (731) 8882-2417 | Email: jt_anbob@hnu.edu.cn
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科研业绩
19.湖南大学-广州润乾数据信息大数据及人工智能，企业产学研项目，2021.1-2022.11
18.三维影像信息系统，企业横向项目，2020.6-2025.6
17.消防施工项目成本控制技术与系统,企业横向项目，2018.8-2020.12
16. 新一代汽车CPS的模糊智能控制策略与算法研究，湖南省自然科学基金项目，2018.1-2020.12

15.体系结构感知的程序优化方法研究，国家重点研发计划高性能计算专项课题，2016.7-2018.6
14.一类CPS中基于模糊理论的系统建模方法研究，国家自然科学基金面上项目，2014.1-2017.12
13.大规模SNP数据挖掘及其在复杂疾病分析中的应用研究，国家自然科学基金面上项目，2014.1-2017.12
12. 城市计算中基于Brownian Agent的路径优化层级模型研究，湖南省自然科学基金，2013.1-2015.12
11.行业应用市场分析和电磁计算软件研发，国家863高技术重点项目，2013.1-2014.12
10.湖南大学青年教师成长计划资助，中央高校基本科研业务费，2012.1-2015.12
9.车载CPS混合动态系统的随机模糊控制策略与算法研究，湖南省科技厅项目，2012.1-2013.12
8.车辆振动随机脉冲模糊控制方法研究，中央高校基本科研业务费，2011.9-2012.12
7.随机脉冲控制方法研究及其在汽车振动控制系统中的应用，中央高校基本科研业务费，2010.12-2011.12
6.月球探测移动机器人结构设计与自主导航技术，教育部科技项目重点项目，2009.1-2011.12
5.软件及数字媒体IP资源验证和组织技术研究及系统开发，国家863高技术项目，2007.8-2010.12
4.匿名通信系统攻防研究，湖南省科技厅项目，2006.12-2007.12
3.示范性教学资源系统5，国家发改委项目，2004.7-2005.12
2.多变量不确定因素工艺配方优化系统，国家科技部攻关项目，2002.1-2004.3
1.高速网络环境下入侵检测技术研究，湖南省自然科学基金项目，2004.1-2005.12



学术成果
My Google Scholar Profile：
https://scholar.google.com/citations?user=BeWWwfsAAAAJ


My Researchgate Scholar Profile：
https://www.researchgate.net/profile/Jiyao_An


Forthcoming papers:

1.Recent View of Multisensor Conflict Data Fusion for Vehicular Cyber-Physical Systems, Information Fusion, under review.
2.Fuzzy-based Multi-objective Dynamic Optimization Algorithm for Electric Vehicle Charging System with Time-varying Electricity Price, Soft computing, under review.

3. A Novel Model for Generalized Sparse Non-negative Tensor Factorization in Large-scale Industrial Applications, IEEE TETC, under review.
4.A Novel Algorithm for Performance and Power Optimization in Heterogeneous Service-oriented Systems with Discrete Speeds, TSC,major revision.
5.IGAGCN: Information Geometry and Attention Based Spatio-Temporal Graph Convolutional Networks for Traffic Flow Prediction, NN, under review.
6.Novel Fuzzy-based Stock Investment Strategies For Daily Stock Trading System, TFS, major revision.

7.Recent View of Intelligent Traffic Flow Prediction for Intelligent Transportation Systems, IET Intelligent Transport Systems, under review.


2020-接受/发表的部分论文：
[45]Jiyao An*,LiangGuo, WeiLiu, Zhiqiang Fu, Ping Ren, Tao Li,IGAGCN:Information Geometry and Attention Based Spatiotemporal GraphConvolutional Networks for Traffic Flow Prediction, Neural Networks,Online, June 7,2021.Doi:10.1016/j.neunet.2021.05.035 (中科院SCI二区，CCF-B)
[44]Jing Huang, Renfa Li, Jiyao An, et al., A DVFS-Weakly-Dependent Energy-Efficient SchedulingApproach for Deadline-Constrained Parallel Applications on Heterogeneous Systems, IEEETransactions on computer-aided design of integrated circuits and systems, Online, Jan., 8,2021.DOI：10.1109/TCAD.2021.**(中科院SCI三区，CCF-A)

[43] Hongfang Gong, Renfa Li, Jiyao An, et al., Quantitative modeling and analytical calculation of anelasticity for a cyber-physical system, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol.50, No.11, pp.4746-4761, November 2020.(中科院SCI一区，TOP期刊)
[42]Jing Huang, Renfa Li, Yehua Wei, Jiyao An, et al., Bi-Directional Timing-Power Optimisation on Heterogeneous Multi-Core Architectures, IEEE Transactions on Sustainable Computing, Online, DOI: 10.1109/TSUSC.2020.**, August 2020.
[41]Wu Wufei, Li Renfa, Xie Guoqi, An Jiyao, et al., A Survey of Intrusion Detection for In-Vehicle Networks, IEEE Transactions on Intelligent Transportation Systems, Vol.21, No.3, pp.919-933, March, 2020.(中科院SCI二区，TOP期刊，ESI高被引论文)



2019-2017年：

[40].Weihong Chen, Jiyao An*, Renfa Li, Guoqi Xie. Tensor-train fuzzy Deep Computation Model for Citywide Traffic Flow Prediction, IEEE Access, Vol.7, No.1, pp.120581-120593, December, 2019.(中科院SCI二区)
[39].Jing Huang, Yan Liu, Renfa Li, Keqin Li, Jiyao An, Yang Bai, Fan Yang, Guoqi Xie. Optimal power allocation and load balancing for non-dedicated heterogeneous distributed embedded computing systems, Journal of Parallel and Distributed Computing,Vol.130, pp.24-36, August, 2019.(中科院SCI三区)
[38].Jiyao An*, Li Fu, Meng Hu, Weihong Chen, Xiawei Zhan, A novel fuzzy-based convolutional neural network method to traffic flow prediction with uncertain traffic accident information, IEEE Access, Vol.7, No.1, pp.20708-20722,Feb., 2019.(中科院SCI二区)

[37].Hao Li, Kenli Li, Jiyao An, Keqin Li,An Online and Scalable Model for Generalized Sparse Non-negative Matrix Factorization in Industrial Applications on Multi-GPU, IEEE Transactions on Industrial Informatics, Online, DOI:10.1109/TII.2019.**, Jan., 2019.(中科院SCI一区，TOP期刊，CCF-A).

[36]. JiyaoAn*,YingjunYu,JieTang andJiaweiZhan,Fuzzy-based hybrid location algorithm for vehicle positioninVANETsviafuzzyKalmanfilteringapproach, Advances in Fuzzy Systems, Vol.2019, ArticleID.**, 11 Pages, DOI:10.1155/2019/**,Jan., 2019.
[35]. Jiyao An*, Meng Hu, Li Fu, Jiawei Zhan, A novel fuzzy approach for combining uncertain conflict evidences in the Dempster-Shafer theory, IEEE Access, Vol.7, Issue 1, pp.7481-7501, Jan., 2019. (中科院SCI二区，ESI高被引论文)
[34]. Hao Li,Keqin Li, Jiyao An, Weihua Zheng, Kenli Li,An Efficient Manifold Regularized Sparse Non-negative Matrix Factorization Model for Large-scale Recommender Systems on GPU,Information Science,Vol.496, pp.464-484, Sep., 2019, （SCI-1区，TOP期刊，CCF-B）
[33]. Hao Li, Kenli Li, Jiyao An, Keqin Li,CUSNTF: A Scalable Sparse Non-negative Tensor Factorization Model for Large-scale Industrial Applications on Multi-GPU, in Proc. of The 27th ACM International Conference on Information and Knowledge Management (CIKM'2018),pp.1113-1122, Oct. 17,2018, (AcceptedRate:17%，CCF-B)

[32]. Hongfang Gong, Renfa Li, Yang Bai,Jiyao An,Keqin Li,Message Response Time Analysis for Automotive Cyber-Physical Systems with Uncertain Delay: An M/PH/1 Queue Approach，Performance Evaluation,Vol.125, pp.21-47,Sep. 2018,（SCI-3区，CCF-B）

[31]. Weihong Chen, Jiyao An*, Renfa Li, Li Fu, Guoqi Xie, Md Zakirul Alam Bhuiyan, and Keqin Li. A novel fuzzy deep-learning approach to traffic flow prediction with uncertain spatial-temporal data features. Future Generation Computer Systems, Vol.89, pp.78-88, Dec. 2018, DOI://10.1016/j.future.2018.06.021. （SCI-2区，CCF-C）
[30]. Jiyao An*, Qianying Chen, Ming Chen, Zicheng Li, A novel stability criterion for a class of networked control systems using some integral inequalities, in Proc. ofthe ISIE2018, IEEE IES, Cairns, Australia, June 12-15, 2018,pp.579-584, 2018.

[29].Guoqi Xie, Gang Zeng, Jiyao An, Renfa Li, and Keqin Li. Resource-Cost-Aware Fault-Tolerant Design Methodology for End-to-End Functional Safety Computation on Automotive Cyber-Physical Systems. ACM Trans. Cyber-Phys. Syst. Vol.3, No.1, Article 4 (August 2018), 27 pages. DOI://doi.org/10.1145/**.
[28]. Jiyao An*, Ming Chen, Qianying Chen, Xiaomei Wang. Stability analysis of interval time-varying delay system via a variable delay-partition approach, In proc. of the 43rd Annual Conference of the IEEE Industrial Electronics Society (IECON'2017), IEEE IES, Beijing, Nov.30-Dec.1 2017,pp.5650-5655, 2017.

[27]. 陈伟宏，安吉尧*，李仁发，李万里. 深度学习认知计算综述，自动化学报，第43卷，第11期，pp:1886-1897, December 2017.
[Weihong Chen, Jiyao An*, Renfa Li, and Wanli Li. Review on deep-learning-based cognitive computing. Acta Automatica Sinica, 43(11):1886–1897, Dec. 2017. (Chinese)]
[26]. Hao Li, Kenli Li, Jiyao An, and Keqin Li, "MSGD: A novel matrix factorization approach for large-scale collaborative filtering recommender systems on GPUs," IEEE Transactions on Parallel and Distributed Systems, Vol.29, No.7, pp:1530-1544, July 2018, DOI: 10.1109/TPDS.2017.**,(中科院SCI二区，CCF-A).

[25]. Jiyao An*, Yingjun Yu, Jie Tang, A Novel Fuzzy Approach to Urban Vehicle Location Scheme Based on Fuzzy Kalman Filtering, in Proc. of The 19th International Conference on Artificial Intelligence (ICAI'17), pp.60-66, July 17-20, 2017, Las Vegas, USA.
[24]. Jiyao An*, Jie Tang, Yingjun Yu, Fuzzy Multi-objective Optimized with Efficient Energy and Time-varying Price for EV Charging System, in Proc. of The 19th International Conference on Artificial Intelligence (ICAI'17), pp.47-53, July 17-20, 2017, Las Vegas, USA.
[23]. Jing Huang, Renfa Li, Jiyao An, and Keqin Li.Energy-Efficient Resource Utilization for Heterogeneous Embedded Computing Systems,IEEE Transactions on Computers, Vol.66, Issue.9, pp.1518-1531, DOI: 10.1109/TC.2017.**, 2017,(中科院SCI二区，CCF-A).

[22]. Hongfang Gong, Renfa Li, Jiyao An, and Keqin Li. Scheduling Algorithms of Flat Semi-Dormant Multi-Controllers for a Cyber-Physical System, IEEE Transactions on Industrial Informatics, Vol.13, No.4, pp.1665-1680, August 2017, DOI:10.1109/TII.2017.**,(中科院SCI一区，TOP期刊，CCF-A).
[21]. Jiyao An*, Xinzhi Liu, Guilin Wen.Stability analysis of delayed Takagi-Sugeno fuzzy systems: a new integral inequality approach,Journal of Nonlinear Sciences and Applications,Vol.10, No.4, pp.1941-1959, October 2017,(中科院SCI二区).
[20]. Jiyao An*, Qianying Chen, Bailong Xiao. A novel inequality approach to stability analysis of interval delayed T-S fuzzy systems,2017 IEEE International Conference on Fuzzy Systems, IEEE CIS, July 9-12, 2017, Naples, Italy, Corrected Proof.
[19]. Jiyao AN*. Improved delay-derivative-dependent stability criteria for linear systems using new bounding techniques, International Journal of Control, Automation and Systems, Vol.15, No.2, pp.939-946, April 2017, DOI:10.1007/s12555-014-0432-6,(中科院SCI四区).


2016-2009部分论文:
[18]. Jiyao AN*, Chaowu LUO. A novel approach to stability of interval delayed systems with nonlinear perturbations,Journal of Control Engineering and Applied Informatics, Vol.18, No.4, pp.3-13, Dec., 2016. (中科院SCI四区).

[17]. Jiyao AN*, Guilin WEN, Chong LIN, Renfa LI. “New results on delay-derivative- dependent fuzzy H∞ filter design for T-S fuzzy systems”, IEEE Transactions on Fuzzy Systems, Vol.19, No.4, pp:770-779, Aug. 01, 2011. (中科院SCI一区, Top期刊，CCF-B).

[16]. Jiyao AN, Guilin WEN*. “Improved stability criteria for time-varying delayed T-S fuzzy systems via delay partitioning approach”, Fuzzy Sets and Systems, Vol.185, No.1, pp: 83-94, Dec. 15, 2011. (中科院SCI二区, Top期刊,CCF-C).
[15]. Mengmeng MA, Jiyao AN*. Combination of Evidence with Different Weighting Factors: A Novel Probabilistic-Based Dissimilarity Measure Approach, Journal of Sensors, Article ID 509385, DOI: 10.1155/2015/509385, March 2015. (中科院SCI三区)
[14]. Jiyao AN*, Zhiyong LI, Xiaomei WANG. “A novel approach to delay-fractional- dependent stability criterion for linear systems with interval delay”, ISA Transactions, Vol.53, No.2, pp:210-219, March 2014, (中科院SCI二区).
[13]. Jiyao AN, Guilin WEN*, Nianfei GAN, Renfa LI. “A delay-derivative-dependent approach to robust H∞ filter design for uncertain systems with time-varying distributed delays”, Journal of the Franklin Institute, Vol.348, No.2, pp:179-200, March 2011. (中科院SCI二区).
[12]. Jiyao AN, Tao LI, Guilin WEN*, and Renfa LI. “New stability conditions for uncertain T-S fuzzy systems with interval time-varying delay”, International Journal of Control, Automation, and Systems, Vol.10, No.3, pp:490-497, June 2012. (SCI三区)
[11]. Jiyao AN, Guilin WEN*, and Wei XU. “Improved Results on Fuzzy H∞ Filter Design for T-S Fuzzy Systems”, Discrete Dynamics in Nature and Society, Volume 2010 (2010), Article ID 392915, 21 pages, DOI:10.1155/2010/392915，Sept. 2010. (中科院SCI三区)
[10]. Xianzhong Xia, Renfa Li, Jiyao An. On Delay-Fractional-Dependent Stability Criteria for Takagi-Sugeno Fuzzy Systems with Interval Delay, Mathematical Problems in Engineering, Vol.2014, 370382, 13 pages, Feb. 2014, DOI:10.1155/2014/370382(中科院SCI四区)
[9].Xianzhong Xia, Renfa Li, Jiyao An. Robust Nonfragile H∞ Filtering for Uncertain T-S Fuzzy Systems with Interval Delay: A New Delay Partitioning Approach, Abstract and Applied Analysis, Vol.2014, 523462, 17 pages, Sep. 2014. DOI:10.1155/2014/523462(中科院SCI二区)
[8]. Jiyao AN, Xianzhong Xia, and Renfa Li*. “Delay-derivative-dependent Stability Conditions for Uncertain T-S Fuzzy Systems with Interval Time-varying Delay”, in the Proceedings of the 32nd Chinese Control Conference, CCC 2013，July 26-28, 2013，Xi'an, China, pp:3452-3458. (EI,ISTP检索)
[7]. Jiyao AN*, Weihong Chen and Guilin Wen, "Improved delay-fractional-dependent stability criteria for systems with nonlinear perturbations," 2015 IEEE Conference on Control Applications (CCA), Sydney, NSW, 2015, pp. 563-568, DOI: 10.1109/CCA.2015.**. (EI,ISTP检索)
[6]. Mengmeng Ma, Jiyao AN*, Zhong Huang and Zhangbao Cao, "Sensor data fusion based on an improved Dempaster-Shafer evidence theory in vehicular cyber-physical systems," 2015 IEEE International Symposium on Intelligent Control (ISIC), Sydney, NSW, 2015, pp. 683-687, DOI: 10.1109/ISIC.2015.**. (EI,ISTP检索)
[5]. 安吉尧*, 文桂林, 卢远志, 欧志芳, 陈中. “用于车辆自主导航的多传感器数据融合方法”, 汽车工程, Vol. 31, No.7, pp:640-645, 2009. (校定重点期刊)
[4]. 安吉尧*, 文桂林, 卢远志, 陈中. “一种新的道路标志统计识别方法”, 计算机科学, Vol.36, No.10, pp:265-267, 2009
?[3]. 安吉尧*，欧志芳. “结合SVM和Gabor参数优化的车辆检测”，计算机工程与应用，Vol.47,No.36,pp:203-207，2011?
?[2]. 欧志芳，安吉尧*，周芳丽. “利用D-S证据理论的夜间车辆检测”，计算机应用研究，Vol.29, No.5, pp:1943-1946, May 2012?
[1]. 曹张保，安吉尧*，黄仲，周兴. “信息物理系统下的耦合映射跟驰模型”, 计算机工程与应用，Vol.53, No.12, pp.158-165, August2017.


部分专利软著成果：
18，基于信息几何的智能交通认知分析软件V1.0，登记号：2021SR**，完成时间：2021-2-26
17，面向智能交通认知的多属性群决策支持软件V1.0，登记号：2021SR**，发表时间：2021-3-5
16，基于图卷积的驾驶交互行为分析软件V1.0，登记号：2021SR**，完成时间：2021-3-15
15，一种车辆轨迹预测及驾驶行为分析方法，中国发明专利，申请号：.0，2021-5-31申请
14，短期交通预测图卷积网络的路况评估方法，中国发明专利，申请号：4.2，2021-5-31申请
13，一种基于群决策的交通拥堵抑制方法，中国发明专利，申请号：0.X，2021-5-9申请
12，一种基于JS散度和模糊证据理论的路况状态评估方法，中国发明专利，申请号：7.X，2020-6-18申请
11，基于汽车VCPS的智能交通辅助驾驶系统V1.0,登记号：2020SR**,完成时间：2020-7-27
10，基于模糊理论和深度学习的交通流预测系统V1.0，登记号：2019SR**，完成时间：2019-3-8
9，一种基于模糊推理的高冲突证据融合方法，中国发明专利，申请号：4.9，2018-12-28
8，基于Stackelberg博弈的路径选择方法，中国发明专利，授权号：ZL0.4，2018-5-18申请，2021-3-16授权
7，一种实时交通流短时预测方法，中国发明专利，授权号：7.3，2018-4-19申请，2020-12-18授权
6，一种车载自组织网络的模糊分簇方法，中国发明专利，授权号：ZL7.6，2017-6-26申请，2020-06-09授权
5，一种基于CPS的电动汽车充电方法，中国发明专利，授权号：ZL7.7，2016-12-1申请，2018-12-25授权

4，一种基于模糊理论的复合定位新方法，中国发明专利，授权号：ZL3.9，2016-12-1申请，2019-02-05授权
3，一种四轮独立驱动电动汽车协同控制方法，中国发明专利，申请号：9 .0，2015-11-26
2，一种交叉口车辆智能协同通行方法，中国发明专利，授权号：ZL0.9，2015-10-30申请，2017-10-13授权
1，一种电力变压器内部故障的状态检修方法，中国发明专利，授权号：ZL7 .6，2015-11-24申请，2018-10-12授权

学生培养
常年招收具有认真态度和创新精神，具备良好编程和数学基础的硕士生和博士生 [目标：CPS认知计算下的实际应用系统（比如汽车智能驾驶，智慧城市，智慧交通等），或者国际顶级会议和期刊论文]；



欢迎对实践操作和黑科技感兴趣，具备一定动手能力的本科生加入我的研究小组（目标：面向学科竞赛，或者国际论文）；
对于优秀学生，可推荐到知名企业工作和海外高校深造。

学术服务
CCF高级会员，CAAI会员，IEEE（CIS）会员，ACM会员
CAAI科普工作委员会委员（2017-2022）
CCF嵌入式系统专业委员会委员（2017-）
Invited Reviewers,
TPC members