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更新时间：2026.10.06
总访问量：10

张煜

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办公地址： 浙工大（屏峰校区）计算机楼A504

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电子邮箱： yuzhang1@zjut.edu.cn
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  • 个人简介

    张煜，毕业于英国谢菲尔德大学计算机科学学院，博士。

    现任浙江工业大学计算机科学与技术学院讲师。

  • 科研成果

    • Zhang, Y., Liu, K., Wang, X., Wang, R. and Yang, P., 2024. Precision Fertilization Via Spatio-temporal Tensor Multi-task Learning and One-Shot Learning. IEEE Transactions on AgriFood Electronics.

    • Zhang, Y., Wang, X., Liu, T., Wang, R., Li, Y., Xue, Q. and Yang, P., 2023. Sustainable fertilisation management via tensor multi-task learning using multi-dimensional agricultural data. Journal of Industrial Information Integration, 34, p.100461. （中科院一区top，JCR Q1）

    • Zhang, Y., Liu, T., Lanfranchi, V. and Yang, P., 2022. Explainable Tensor Multi-Task Ensemble Learning Based on Brain Structure Variation for Alzheimer’s Disease Dynamic Prediction. IEEE Journal of Translational Engineering in Health and Medicine, 11, pp.1-12. （中科院三区，JCR Q2）

    • Zhang, Y., Lanfranchi, V., Wang, X., Zhou, M. and Yang, P., 2022, December. Modeling Alzheimer’s Disease Progression via Amalgamated Magnitude-Direction Brain Structure Variation Quantification and Tensor Multi-task Learning. In 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 2735-2742). IEEE. （CCF-B）

    • Zhang, Y., Zhou, M., Liu, T., Lanfranchi, V. and Yang, P., 2022, July. Spatio-temporal Tensor Multi-Task Learning for Predicting Alzheimer's Disease in a Longitudinal study. In 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 979-985). IEEE. 

    • Zhang, Y., Liu, T., Li, Y., Wang, R., Huang, H. and Yang, P., 2022, October. Spatio-temporal Tensor Multi-Task Learning for Precision Fertilisation with Real-world Agricultural Data. In IECON 2022–48th Annual Conference of the IEEE Industrial Electronics Society (pp. 1-6). IEEE. 

    • Zhang, Y., Bi, G., Jeffery, S., Davis, M., Li, Y., Xue, Q. and Yang, P., 2025, March. TMTCIL-st: Spatio-Temporal Tensor Multi-Task Continuous Incremental Learning for Multi-Fertiliser Management. In 2025 IEEE International Conference on Industrial Technology (ICIT) (pp. 1-8). IEEE.

    • Zhang, Y., Liu, T., Li, Y., Wang, R., Huang, H. and Yang, P., 2021, December. Spatio-temporal Tensor Multi-Task Learning for Precision fertilization. In 2021 20th International Conference on Ubiquitous Computing and Communications (IUCC/CIT/DSCI/SmartCNS) (pp. 398-405). IEEE. 

    • Zhang, Y., Yang, P. and Lanfranchi, V., 2021, July. Tensor multi-task learning for predicting alzheimer’s disease progression using MRI data with spatio-temporal similarity measurement. In 2021 IEEE 19th International Conference on Industrial Informatics (INDIN) (pp. 1-8). IEEE. 

    • Zhou, M., Zhang, Y., Yang, Y., Liu, T. and Yang, P., 2023, June. Robust temporal smoothness in multi-task learning. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 37, No. 9, pp. 11426-11434). （CCF-A）

    • Zhou, M., Zhang, Y., Liu, T., Yang, Y. and Yang, P., 2023. Efficient multi-task learning with adaptive temporal structure for progression prediction. Neural Computing and Applications, pp.1-16. （中科院三区，JCR Q1）

    • Zhou, M., Zhang, Y., Liu, T., Yang, Y. and Yang, P., 2022, October. Multi-task Learning with Adaptive Global Temporal Structure for Predicting Alzheimer's Disease Progression. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management (pp. 2743-2752). （CCF-B）

    • Wang, X., Zhang, Y., Zhou, M., Liu, T., Qi, J. and Yang, P., 2023, December. Spatio-temporal similarity measure based multi-task learning for predicting alzheimer’s disease progression using mri data. In 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 940-943). IEEE.（CCF-B）


  • 个人简介

    张煜，毕业于英国谢菲尔德大学计算机科学学院，博士。

    现任浙江工业大学计算机科学与技术学院讲师。

  • 科研成果

    • Zhang, Y., Liu, K., Wang, X., Wang, R. and Yang, P., 2024. Precision Fertilization Via Spatio-temporal Tensor Multi-task Learning and One-Shot Learning. IEEE Transactions on AgriFood Electronics.

    • Zhang, Y., Wang, X., Liu, T., Wang, R., Li, Y., Xue, Q. and Yang, P., 2023. Sustainable fertilisation management via tensor multi-task learning using multi-dimensional agricultural data. Journal of Industrial Information Integration, 34, p.100461. （中科院一区top，JCR Q1）

    • Zhang, Y., Liu, T., Lanfranchi, V. and Yang, P., 2022. Explainable Tensor Multi-Task Ensemble Learning Based on Brain Structure Variation for Alzheimer’s Disease Dynamic Prediction. IEEE Journal of Translational Engineering in Health and Medicine, 11, pp.1-12. （中科院三区，JCR Q2）

    • Zhang, Y., Lanfranchi, V., Wang, X., Zhou, M. and Yang, P., 2022, December. Modeling Alzheimer’s Disease Progression via Amalgamated Magnitude-Direction Brain Structure Variation Quantification and Tensor Multi-task Learning. In 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 2735-2742). IEEE. （CCF-B）

    • Zhang, Y., Zhou, M., Liu, T., Lanfranchi, V. and Yang, P., 2022, July. Spatio-temporal Tensor Multi-Task Learning for Predicting Alzheimer's Disease in a Longitudinal study. In 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 979-985). IEEE. 

    • Zhang, Y., Liu, T., Li, Y., Wang, R., Huang, H. and Yang, P., 2022, October. Spatio-temporal Tensor Multi-Task Learning for Precision Fertilisation with Real-world Agricultural Data. In IECON 2022–48th Annual Conference of the IEEE Industrial Electronics Society (pp. 1-6). IEEE. 

    • Zhang, Y., Bi, G., Jeffery, S., Davis, M., Li, Y., Xue, Q. and Yang, P., 2025, March. TMTCIL-st: Spatio-Temporal Tensor Multi-Task Continuous Incremental Learning for Multi-Fertiliser Management. In 2025 IEEE International Conference on Industrial Technology (ICIT) (pp. 1-8). IEEE.

    • Zhang, Y., Liu, T., Li, Y., Wang, R., Huang, H. and Yang, P., 2021, December. Spatio-temporal Tensor Multi-Task Learning for Precision fertilization. In 2021 20th International Conference on Ubiquitous Computing and Communications (IUCC/CIT/DSCI/SmartCNS) (pp. 398-405). IEEE. 

    • Zhang, Y., Yang, P. and Lanfranchi, V., 2021, July. Tensor multi-task learning for predicting alzheimer’s disease progression using MRI data with spatio-temporal similarity measurement. In 2021 IEEE 19th International Conference on Industrial Informatics (INDIN) (pp. 1-8). IEEE. 

    • Zhou, M., Zhang, Y., Yang, Y., Liu, T. and Yang, P., 2023, June. Robust temporal smoothness in multi-task learning. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 37, No. 9, pp. 11426-11434). （CCF-A）

    • Zhou, M., Zhang, Y., Liu, T., Yang, Y. and Yang, P., 2023. Efficient multi-task learning with adaptive temporal structure for progression prediction. Neural Computing and Applications, pp.1-16. （中科院三区，JCR Q1）

    • Zhou, M., Zhang, Y., Liu, T., Yang, Y. and Yang, P., 2022, October. Multi-task Learning with Adaptive Global Temporal Structure for Predicting Alzheimer's Disease Progression. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management (pp. 2743-2752). （CCF-B）

    • Wang, X., Zhang, Y., Zhou, M., Liu, T., Qi, J. and Yang, P., 2023, December. Spatio-temporal similarity measure based multi-task learning for predicting alzheimer’s disease progression using mri data. In 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 940-943). IEEE.（CCF-B）


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更新时间：2026.10.06
总访问量：10