一、个人基本信息
赵雅靓，女，河南开封人，研究生学历，工学博士，加拿大圣西维尔大学博士后，教授，博士生导师，ACM郑州分会副秘书长，CCF协同计算委员会执行委员，CCF高级会员，河南省教学标兵。
二、奖励
1.复杂场景无人系统高效导航决策关键技术及应用，河南省科学技术进步奖三等奖，2025，第二完成人。
2. IEEE TCSC 2022年度青年科学家奖，IEEE TCSC，2022。
3. IEEE Computer Society SCSTC 2021年度青年科学家奖，IEEE SCSTC，2021。
4. 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。
5. 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。
6. 河南省教育系统教学技能竞赛(高校计算机）中荣获(一等奖)，被授予“河南省教学标兵”称号，河南省教育厅&河南省教育工会，2010。
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、图学习等。
四、论文、著作
1. Yuetong Wu, Yaliang Zhao*, Jinke Wang, Langxue Dang, High-Quality Controlled Clustering Expert Networks, Pattern Recognition, 2025, 172:1-11 (中科院一区Top，CCF-B).
2. Jingyao Duan, Yaliang Zhao*, Jinke Wang, Lanxue Dang,Tensor-ring based multi-view contrastive graph clustering with high-quality pseudo-labels, Knowledge-Based Systems, 2025, DOI:10.1016/j.knosys.2025.114847 (中科院一区Top, CCF-C).
3.Chunchun Zhang, Yaliang Zhao*, Jinke Wang, Transformer-based Dynamic Fusion Clustering Network[J]. Knowledge-Based Systems, 2022, 258：109984 (中科院一区Top, CCF-C).
4.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 (中科院一区Top).
5. 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 (中科院一区Top).
6. 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 (中科院一区Top).
7. 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 (中科院一区Top).
8. 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 (中科院二区).
9. 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 (中科院三区).
10. 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 (中科院一区Top).
11. 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 (中科院一区Top).
12. 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 (中科院一区Top).
13. Guangming Zhang, Yaliang Zhao*, Jinke Wang, Few-Shot Node Classification on Attributed Networks Based on Deep Metric Learning for Cyber-Physical-Social Services[J]. Pattern Recognition Letters, 2023，173：87-92 (中科院三区).
14. 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 2022), Haikou, China, 15-18 December 2022, pp.1-7 (CCF-C类).
15.Yaliang Zhao, Tianchi Zhang, Jinke Wang*，Clustering Information-guided Multi-view Contrastive Graph Clustering，The 29th IEEE International Conference on Parallel and Distributed Systems (ICPADS 2023)，December 17-21, 2023, Ocean Flower Island（海花岛）, Hainan, China, pp:320-326 (CCF-C类).
16. Linlin Zhang, Yaliang Zhao*, Jinke Wang Structural Embedding Contrastive Graph Clustering，The 22nd IEEE International Conference on International Symposium on Parallel and Distributed Processing with Applications（ISPA 2024）, October 30 - November 02, 2024, Kaifeng, Henan, China (CCF-C类).
17. 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.
18. 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.
19. 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 (中科院二区Top).
20. 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 (中科院二区).
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. 河南省科学技术厅，河南省软科学重大项目“中长期产业技术创新发展战略研究”，人工智能和先进计算领域中长期产业技术创新发展战略研究，2024-04至2026-12，在研，参与，第二。
4. 河南省科学技术厅，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，第二。
5. 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，第二。
6. 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，第三。
7. 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;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，2024-11-05，中国，ZL202211326522.1.
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，2025-09-05，中国，ZL202211192154.6.
3. 赵雅靓;张天池;王金科; 一种由集群信息引导的多视图对比图聚类方法，2024-3-14，中国，CN202410295268.6.
七、联系方式
E-mail：[email protected]
