现为天津理工大学计算机学院教授，博士毕业于挪威科技大学与天津理工大学获得工程学与工学双博士学位，曾任职挪威Smart Innovation Norway终身研究员, 挪威科技大学，丹麦科技大学，悉尼科技大学兼职博士生导师。主持的项目包括海外青年人才引进专项，国家自然科学基金青年科学基金项目，欧盟地平线项目，两项中挪国际合作项目（挪威方）。在国际知名期刊会议发表文章六十多篇 (TNNLS TII TIE TITS TIM等）。 
（1）国家海外青年人才引进专项，2024.1-2026.12，120万 （2）不完备工业时间序列特征分析，青年科学基金， 2024.1-2026.12， 30万 （3）A heterogeneous distributed prediction model for wind-solar energy production，欧盟玛丽居里项目，2024.1-2025.12, 24万欧元（约180万人民币） （4）面向不完备数据流的异常检测方法建模与验证，企业委托项目，40万 
代表性论文 (1)Xu Cheng, Guoyuan Li, Robert Skulstad, Houxiang Zhang, SAFENESS: A Semi-Supervised Transfer Learning Approach for Sea State Estimation Using Ship Motion Data, IEEE Transactions on Intelligent Transportation Systems, 2023. (2)Xu Cheng, Tian He, Fan Shi, Meng Zhao, Xiufeng Liu, Shengyong Chen, Selective Feature Fusion and Irregular-Aware Network for Pavement Crack Detection, IEEE Transactions on Intelligent Transportation Systems, 2023. (3)Xu Cheng, Kexin Wang, Xiufeng Liu, Qian Yu, Fan Shi, Zhengru Ren, Shengyong Chen, A Novel Class-Imbalanced Ship Motion Data-Based Cross-Scale Model for Sea State Estimation, IEEE Transactions on Intelligent Transportation Systems, 2023. (4)Xu Cheng, Fan Shi, Xiufeng Liu, Meng Zhao, Shengyong Chen, A Novel Deep Class-Imbalanced Semisupervised Model for Wind Turbine Blade Icing Detection, IEEE Transactions on Neural Networks and Learning Systems, 2022. (5)Xu Cheng, Fan Shi, Meng Zhao, Guoyuan Li, Houxiang Zhang, Shengyong Chen, Temporal Attention Convolutional Neural Network for Estimation of Icing Probability on Wind Turbine Blades, IEEE Transactions on Industrial Electronics, 2022. (6)Xu Cheng, Weiwei Tian, Fan Shi, Meng Zhao, Shengyong Chen, Hao Wang, A Blockchain-Empowered Cluster-based Federated Learning Model for Blade Icing Estimation on IoT-enabled Wind Turbine, IEEE Transactions on Industrial Informatics, 2022. (7)Xu Cheng, Fan Shi, Yongping Liu, Jiehan Zhou, Xiufeng Liu, Lizhen Huang, A Class-Imbalanced Heterogeneous Federated Learning Model for Detecting Icing on Wind Turbine Blades, IEEE Transactions on Industrial Informatics, 2022. (8)Xu Cheng, Guoyuan Li, Peihua Han, Robert Skulstad, Shengyong Chen, Houxiang Zhang, Data-driven modeling for transferable sea state estimation between marine systems, IEEE Transactions on Intelligent Transportation Systems, 2021. (9)Xu Cheng, Guoyuan Li, Andre Listou Ellefsen, Shengyong Chen, Hans Petter Hildre, Houxiang Zhang, A novel densely connected convolutional neural network for sea-state estimation using ship motion data, IEEE Transactions on Instrumentation and Measurement, 2020. (10)Xu Cheng, Fan Shi, Yongping Liu, Xiufeng Liu, Lizhen Huang, Wind turbine blade icing detection: A federated learning approach, Energy, 2022. 
（1）欧盟玛丽居里学者
（2）国家海外青年引进人才 |
