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  • 杨静
  1. 学  院:计算机科学与技术学院
  2. 学历职称:博士/副研究员
  3. 导师类型:博/硕士生导师
  4. 联系方式:jingyang@hainanu.edu.cn
个人简介 发表论文 科研项目 获奖与学术兼职状况 专利情况

[1]JingYang,Laurence T. Yang, HaoWang, YuanGao,Huazhong Liu, Xia Xie. Tensor Graph Attention Network for Knowledge Reasoning in Internet of Things, IEEE Internet Things Journal, 2021, DOI:10.1109/JIOT.2021.3092360.(中科院1区,IF:9.471)

[2]JingYang,Laurence T. Yang, YuanGao,Huazhong Liu, Xia Xie. An Incremental Boolean Tensor Factorization for Knowledge Reasoning in Artificial Intelligence of Things, IEEE Transactions on Industrial Informatics, 2021, 18(5): 3367-3376.(中科院1区,IF:10.215)

[3]JingYang,Laurence T. Yang, HaoWang, YuanGao. Multi-Relational Tensor Graph Attention Networks for AIoT Knowledge Fusion in Smart Enterprise Systems,IEEE Transactions on Industrial Informatics,2022, 10.1109/TII.2022.3190548. (中科院1区,IF:10.215)

[4]Jing Yang, Laurence T. Yang,HaoWang, YuanGao,Xia Xie.Representation Learning for Knowledge Fusion and Reasoning in Cyber-Physical-Social Systems: Survey and Perspectives,Information Fusion,2022,accepted.(中科院1区,IF:12.975)

[5]Jing Yang, Laurence T. Yang, Huazhong Liu, YuanGao,HaoWang, Xia Xie. Tensor-based Knowledge Fusion and Reasoning for Cyber-Physical-Social Systems, IEEE Systems, Man, and Cybernetics Magazine, 2021,accepted.

[6]JingYang,Laurence T. Yang, HaoWang, YuanGao.Interaction Embeddings for Temporal Knowledge Graph Completion in Complex Systems,IEEE Transactions on Computational Social Systems,2022,under review.

[7]YuanGao, Laurence T. Yang,Dehua Zheng, Yang,Jing Yang, Yaliang Zhao. Quantized Tensor Neural Network. ACM/IMS Transactions on Data Science, 2021, 2(4), 1-18. (IEEE/ ACM Transactions)

[8]YuanGao, Laurence T. Yang, Yaliang Zhao,Jing Yang.Feature Extraction of High-dimensional Data Based on J-HOSVD for Cyber-Physical-Social Systems. ACM Transactions on Management Information Systems, 2021,13(3), 1-21. (IEEE/ ACM Transactions)

[9]Yuan Gao, Laurence T. Yang,Jing Yang, Dehua Zheng, Yaliang Zhao. Jointly Low-Rank Tensor Completion for Estimating Missing Spatiotemporal Values in Logistics Systems. IEEE Transactions on Industrial Informatics, 2022,accepted.(中科院1区,IF:10.215)

[10]Yuan Gao, Laurence T. Yang, Dehua Zheng,Jing Yang,Yaliang Zhao. HO-RTNN: High-Order Recurrent Tensor Neural Networks for Biometric Behavior Recognition. IEEE Transactions on Industrial Informatics, 2022. Major revision (中科院大类一区, IF:10.215)


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