一、个人基本信息

赵雅靓，女，1978年12月生，河南开封人，研究生学历，工学博士，教授，硕士生导师，河南省教学标兵。

二、奖励

[1]IEEE TCSC 2022年度青年科学家奖，IEEE TCSC，2022。

[2]IEEE Computer Society SCSTC 2021年度青年科学家奖，IEEE SCSTC，2021。

[3]Tensor-Based Big Data Multiple Clusterings with Their Secure and Efficient Implementations, IEEE TCSC 2020年度杰出博士论文奖, IEEE TCSC，2020。

[4]Privacy-Preserving Tensor-Based Multiple Clusterings on Cloud，河南省人力资源和社会保障厅、河南省科学技术协会，河南省第五届自然科学学术奖优秀学术论文三等奖，2021，第一完成人。

三、主讲课程和研究方向

主讲课程：离散数学、高级语言程序设计、数据库系统原理及应用、计算机系统基础、自然语言处理等。

研究方向：大数据分析与处理、安全计算、高效计算等。

四、论文、著作

[1]Yaliang Zhao, Laurence T. Yang*, Ronghao Zhang, A Tensor-Based Multiple Clustering Approach with Its Applications in Automation Systems[J]. IEEE Transactions on Industrial Informatics, 2018, 14(1): 283-291.

[2]Yaliang Zhao, Laurence T. Yang*, Jiayu Sun, A Secure High-Order CFS Algorithm on Clouds for Industrial Internet of Things[J]. IEEE Transactions on Industrial Informatics, 2018, 14(8): 3766-3774.

[3]Yaliang Zhao, Laurence T. Yang*, Jiayu Sun, Privacy-Preserving Tensor-Based Multiple Clusterings on Cloud for Industrial IoT[J]. IEEE Transactions on Industrial Informatics, April 2019, 15(4): 2372-2381.

[4]Yaliang Zhao, Samwel K. Tarus, Laurence T. Yang, Jiayu Sun, Yunfei Ge, Jinke Wang*, Privacy-Preserving Clustering for Big Data in Cyber-Physical-Social Systems: Survey and Perspectives[J]. Information Sciences, 2020, 515: 132-155.

[5]Yaliang Zhao, Laurence T. Yang*, Ronghao Zhang, Tensor-Based Multiple Clustering Approaches for Cyber-Physical-Social Applications[J]. IEEE Transactions on Emerging Topics in Computing, 2020, 8(1): 69-81.

[6]Yaliang Zhao, Laurence T. Yang*, Yiwen Zhang, Jiayu Sun, Xiaojing Wang, Chunchun Zhang, Guangming Zhang, Tensor Train-Based Multiple Clusterings for Big Data in Cyber-Physical-Social Systems and Its Efficient Implementation[J]. IEEE Transactions on Network Science and Engineering, 2022, 9(6): 3896-3908.

[7]Yuan Gao, Guangming Zhang, Chunchun Zhang, Jinke Wang, Laurence T. Yang, Yaliang Zhao*, Federated Tensor Decomposition-Based Feature Extraction Approach for Industrial IoT[J]. IEEE Transactions on Industrial Informatics, 2021, 17(12): 8541-8549.

[8]Yuan Gao, Laurence T. Yang, Jing Yang, Dehua Zheng, Yaliang Zhao*, Jointly Low-Rank Tensor Completion for Estimating Missing Spatiotemporal Values in Logistics Systems[J]. IEEE Transactions on Industrial Informatics, February 2023, 19(2): 1814-1822.

[9]Jing Yang, Laurence T. Yang, Hao Wang, Yuan Gao, Dehua Zheng, Yaliang Zhao*, Xia Xie, Yan Lu, Representation learning for knowledge fusion and reasoning in Cyber-Physical-Social Systems: Survey and perspectives[J]. Information Fusion, 2023, 90: 59-73.

[10]Chunchun Zhang, Yaliang Zhao*, Jinke Wang, Transformer-based Dynamic Fusion Clustering Network[J]. Knowledge-Based Systems, 2022, 258：109984.

[11]Guangming Zhang, Yaliang Zhao*, Jinke Wang, Few-Shot Node Classi cation on Attributed Networks Based on Deep Metric Learning for Cyber-Physical-Social Services[J]. Pattern Recognition Letters, 2023，173：87-92.

[12]Yaliang Zhao, Guangming Zhang, Jinke Wang*, Few-shot node classification on attributed networks based on prototypical network[C]. the 19th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC), Haikou, China, 15-18 December 2022, pp.1-7.

[13]Yuan Gao, Laurence T. Yang, Dehua Zheng, Jing Yang, Yaliang Zhao*, Quantized Tensor Neural Network[J]. ACM Transactions on Data Science, 2022, 2(4): 1-18.

[14]Yuan Gao, Laurence T. Yang, Yaliang Zhao*, Jing Yang, Feature Extraction of High-Dimensional Data Based on J-HOSVD for Cyber-Physical-Social Systems[J]. ACM Transactions on Management Information Systems, 2022, 13(3): 1-21.

[15]Xia Xie, Yu Fu, Hai Jin*, Yaliang Zhao, Wenzhi Cao. A Novel Text Mining Approach for Scholar Information Extraction from Web Content in Chinese[J]. Future Generation Computer Systems, 2020, 111: 859-872.

[16]Liwei Kuang, Laurence T. Yang*, Xiaokang Wang, Puming Wang, Yaliang Zhao, A Tensor-Based Big Data Model for QoS Improvement in Software Defined Networks[J]. IEEE Network, 2016, 30(1): 30-35.

五、科研项目

[1]国家自然科学基金委员会, 青年科学基金项目, 61802112, 面向多源异构数据的多聚类通用模型及安全高效算法研究, 2019-01至2021-12, 结项，主持。

[2]国家科技部，国家重点研发计划“网络空间安全”重点专项，2017YFB0801804，云数据中心威胁预警与精准防御关键技术与系统，2017-07至2020-12，结项，参与。

[3]河南省科技发展计划项目，科技攻关，212102310302，云端高效安全的大数据多聚类关键技术研究，2021-01至2023-08，结项，参与。

[4]湖北省科学技术厅，湖北省自然科学基金面上项目，ZRMS2019000975，高时效大数据新体系结构研究，2019-01至2020-12，结项，参与。

[5]国家航天局航天遥感论证中心, 横向项目，国科工技2012A03A0905, 柔性遥感产品工业化生产模型研究，2012-01至2014-12，结项，参与。

[6]民航空管局科技项目, 横向项目，2012XZ-247, 民航气象新一代信息处理和传输基础框架研究， 2012-08至2014-06，结项，参与。

六-、专利

[1]赵雅靓;张春春;汪珂;左宪禹;王琴;赵媛媛;卢红霞;张磊;一种基于Prophet模型的黄河流域险情等级预测方法，2020-04-01，中国，CN114266415A.

[2]赵雅靓;张广明;王金科;一种基于深度度量学习的小样本属性图节点分类方法，2022-09-28，中国，CN115481696A.

[3]赵雅靓;张春春;王金科;一种基于动态多尺度特征融合网络的社区检测方法，2022-10-27，中国，202211326522.1.

[4]杨天若;高源;赵雅靓;杨静;基于张量分解的异构大数据因子特征提取的方法及系统，2020-05-29，中国，CN111209530A.

[5]杨天若;高源;赵雅靓;杨静;基于张量分解的异构大数据核心特征提取的方法及系统，2020-05-29，中国，CN111209974A.

七、联系方式

E-mail：ylzhao@henu.edu.cn