个人信息
科研业绩
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. FCTTD: Towards Fine-grained Coupling Tensor Tucker Decomposition for Deep Learning Model Compression, TAI-2026-Jan-A-00100, Major revision.
2.CCWI-DSTFGCN: A Causal-Counterfactual Weather-Aware Dynamic Spatial–Temporal Graph Network for Interpretable Traffic Forecasting, OJ-ITS-2026-07-0327， under review.
3. An Interpretable Feature-Infused Spatiotemporal Framework for Traffic Forecasting, CAIS-D-26-00808, under review.
4. Novel Fuzzy-based Stock Investment Strategies For Daily Stock Trading System, IEEE TFS, major revision.
5. FISTCAN: Feature-Infused Spatiotemporal Fusion with Context-Conditioned Cognition for Traffic Forecasting, Scientific reports, Major revision.
2022-接受/发表的部分论文：
[56]. Qingqin Liu; Jiyao An*; Md Sohel Rana; Lei Zhang; Zhaohui Pu, and Weihong Chen, Unraveling dynamic spatiotemporal shifts in traffic flow: a dual-lens divide-and-match approach, IEEE Trans. Artificial Intelligence, Online, July 2026. DOI:10.1109/TAI.2026.3711621
[55]. Guojin Chen, Qingqin Liu, Jiyao An*, et al., Modeling Spatiotemporal Dynamic Shifts for Traffic Cognition: A Fuzzy-based Graph-Mamba Approach. FUZZ-IEEE'26, Accepted, March 22, 2026
[54]. Jiyao An*; Qingqin Liu; Xinjiao Qian; Jiali Chen; Jin Zhao; Lihua Zhu, ExFuzzGCN: An interpretable and expressive fuzzy-based GCN forintelligent traffic cognition, Information Sciences, Vol.721, pp.122569, Aug. 2025. (CCF-B)
[53]. Jiyao An*; Zhaohui Pu; Qingqin Liu; Lei Zhang; Md Sohel Rana, A novel Multi-Scale Dynamic Graph Convolutional Network for Traffic DataCognition, IEEE Trans. Artificial Intelligence, Vol. 7, No. 1, pp.362-374, May 2025.
[52]. Jiyao An*; Xuan Zhang; Ju Fang, and Qingqin Liu, FST-GNN: A fuzzy-based spatial-temporal graph neural network for traffic flow prediction during emergent epidemics, C. Kahraman et al.(Eds.): INFUS 2024, LNNS 1089, pp.758-766, August 2024,
[51]. Jiyao An*; Jin Zhao; Qingqin Liu; Xinjiao Qian; and Jiali Chen, Self-constructed deep fuzzy neural network for traffic flow prediction, Electronics, 2023, 12, 1885, April 2023, DOI://10.3390/electronics12081885. (JCR SCI-Q2)
[50]. Jiyao An*; Ju Fang; Xuan Zhang; and Qingqin Liu, A novel fuzzy-clustering-based deep learning approach for spatio-temporal traffic speed prediction, INFUS 2023, LNNS 758, pp.569-576, August 2023,
[49]. Hongfang Gong; Renfa Li; Jiyao An; Guoqi Xie, Reliability Modeling and Assessment for a Cyber-Physical System With a Complex Boundary Behavior, IEEE Trans. Reliability, Vol.72, No. 1, pp. 224-239, March 2023. (JCR SCI-Q1，TOP期刊)
[48]. Jiyao An*; Wei Liu; Qingqin Liu; Liang Guo; Ping Ren; Tao Li, DGInet: Dynamic graph and interaction-aware convolutional network for vehicle trajectory prediction, Neural Networks, Vol.151, pp.336-348, August 2022. (JCR SCI-Q1，CCF-B)
[47]. 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, Vol.18, No.1, pp.437-447, January, 2022. (中科院SCI一区，TOP期刊，CCF-A，ESI高被引论文).
2021-2017年：
[46] 李哲，袁小芳，王耀南，李智勇，安吉尧. 基于虚拟仿真的机器人专业综合设计实验方案探索，计算机教育，第11期，33-37，2021.11
[45] Jing Huang, Renfa Li, Jiyao An, et al., A DVFS-Weakly-Dependent Energy-Efficient Scheduling Approach for Deadline-Constrained Parallel Applications on Heterogeneous Systems, IEEE Transactions on computer-aided design of integrated circuits and systems, Vol.40, No.2, pp.2481-2494, December, 2021 (中科院SCI三区，CCF-A)
[44] Jiyao An*, Liang Guo, Wei Liu, Zhiqiang Fu, Ping Ren, Tao Li, IGAGCN:Information Geometry and Attention Based Spatiotemporal Graph Convolutional Networks for Traffic Flow Prediction, Neural Networks, Vol.143, pp.355-367, November 2021. (中科院SCI二区，CCF-B)
[43] Jing Huang, Renfa Li, Yehua Wei, Jiyao An, Wanli Chang, Bi-Directional Timing-Power Optimisation on Heterogeneous Multi-Core Architectures, IEEE Transactions on Sustainable Computing, Vol.6, No.4, pp.572-585, Oct.-Dec. 1, 2021.
[42] 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)
[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)
[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.2019.2896634, Jan., 2019. (中科院SCI一区，TOP期刊，CCF-A).
[36]. Jiyao An*, Yingjun Yu, Jie Tang and Jiawei Zhan, Fuzzy-based hybrid location algorithm for vehicle position in VANETs via fuzzy Kalman filtering approach, Advances in Fuzzy Systems, Vol.2019, ArticleID.5142937, 11 Pages, DOI:10.1155/2019/5142937, 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. of the 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/10.1145/3162052.
[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.2017.2718515, (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.2017.2693186, 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.2017.2690939, (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.2015.7320689. (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.2015.7307289. (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, August 2017.
部分专利软著成果：
27，预训练模型轻量化系统 V1.0，登记号：2025SR0664669，完成时间：2025.4.23
26，多视图速度预测软件V1.0，登记号：2024SR0554696，完成时间：2024-4-24
25，智能路径规划系统V1.0，登记号：2023SR0449382，完成时间：2023-1-3
24，基于信息几何的智能交通认知分析软件V1.0，登记号：2021SR0496476，完成时间：2021-2-26
23，面向智能交通认知的多属性群决策支持软件V1.0，登记号：2021SR0496408，完成时间：2021-3-5
22，基于图卷积的驾驶交互行为分析软件V1.0，登记号：2021SR0496409，完成时间：2021-3-15
21，基于汽车VCPS的智能交通辅助驾驶系统V1.0, 登记号：2020SR0832460, 完成时间：2020-7-27
20，基于模糊理论和深度学习的交通流预测系统V1.0，登记号：2019SR0397406，完成时间：2019-3-8
19. 面向城市交通数据时空动态漂移认知的深度学习方法，中国发明专利，申请号：202510700629.5，2025.5.28申请，
17, 面向城市交通节点模式相似度认知的深度学习方法，中国发明专利，申请号：202411647607.9，2024-11-18申请，
16, 面向突发流行病下城市交通认知的模糊深度学习方法，中国发明专利，申请号：202311792287.1，2023-12-25申请，
15, 面向交通路径认知的深度模糊模型自构建方法，中国发明专利，授权号：202310139505.5，2023-02-21申请，2025-9-23授权
14，一种基于模糊理论的可解释交通认知方法，中国发明专利，授权号：ZL202211453961.9，2022-11-21申请，2026-3-3授权
13，一种车辆轨迹预测及驾驶行为分析方法，中国发明专利，授权号：ZL20210603385.0，2021-5-31申请，2022-5-17授权
12，短期交通预测图卷积网络的路况评估方法，中国发明专利，授权号：ZL202110603374.2，2021-5-31申请, 2022-4-19授权
11，一种基于群决策的交通拥堵抑制方法，中国发明专利，授权号：ZL202110502780.X，2021-5-9申请，2023-9-29授权
10，一种基于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，授权号：ZL202010562317.X，2020-6-18申请，2022-7-12授权
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，授权号：ZL201811616924.9，2018-12-28申请，2022-5-31授权
8，基于Stackelberg博弈的路径选择方法，中国发明专利，授权号：ZL201810480360.4，2018-5-18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：ZL201810351027.3，2018-4-19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：ZL201710491657.6，2017-6-26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：ZL201611088787.7，2016-12-1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：ZL201611088423.9，2016-12-1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：201510834989 .0，2015-11-26申请
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：ZL201510717150.9，2015-10-30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：ZL201510821187 .6，2015-11-24申请，2018-10-12授权
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