[3] Xinyu Jia; Omid Sedehi; Costas Papadimitriou; Lambros S. Katafygiotis; Babak Moaveni; Hierarchical Bayesian modeling framework for model updating and robust predictions in structural dynamics using modal features, Mechanical Systems and Signal Processing, 2022, 170: 108784

[4] Xinyu Jia; Omid Sedehi; Costas Papadimitriou; Lambros S. Katafygiotis; Babak Moaveni; Nonlinear model updating through a hierarchical Bayesian modeling framework, Computer Methods in Applied Mechanics and Engineering, 2022, 392: 114646

[5] Xinyu Jia; Chao Jiang; Chunming Fu; Congsi Wang; Menghao Ping; Uncertainty propagation analysis by an extended sparse grid technique, Frontiers of Mechanical Engineering, 2019, 14(1): 33-46  

[6] Menghao Ping; Xinyu Jia(通讯作者); Costas Papadimitriou; Xu Han; Chao Jiang; Statistics-based Bayesian modeling framework for uncertainty quantification and propagation, Mechanical Systems and Signal Processing, 2022, 174: 109102

[7] Menghao Ping; Xinyu Jia; Costas Papadimitriou; Xu Han; Chao Jiang; A hierarchical Bayesian framework embedded with an improved orthogonal series expansion for Gaussian processes and fields identification, Mechanical Systems and Signal Processing, 2023, 187: 109933

[8] Haibo Liu; Chao Jiang; Xinyu Jia; Xiangyun Long; Zhe Zhang; Fengjiao Guan; A new uncertainty propagation method for problems with parameterized probability-boxes, Reliability Engineering & System Safety, 2018, 172: 64-73

[9] Jinhui Wu; Dequan Zhang; Jie Liu; Xinyu Jia; Xu Han; A computational framework of kinematic accuracy reliability analysis for industrial robots, Applied Mathematical Modelling, 2020, 82: 189-216

[10] Xinyu Jia; Costas Papadimitriou; Data features-based likelihood-informed Bayesian finite element model updating, in: Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, 2019: 103–113.

[11] Xinyu Jia; Omid Sedehi; Costas Papadimitriou; Lambros S. Katafygiotis; Babak Moaveni; Two-stage hierarchical Bayesian framework for finite element model updating, Model Validation and Uncertainty Quantification, Volume 3. Springer, Cham, 2020: 383-387.

[12] Xinyu Jia; Omid Sedehi; Costas Papadimitriou; Lambros S. Katafygiotis; Computationally efficient  hierarchical Bayesian modeling framework for learning embedded model uncertainties, in:  Proceedings of the International Conference on Structural Dynamic, EURODYN. 2020: 3886–3893.

[13] Xinyu Jia; Omid Sedehi; Lambros S. Katafygiotis; Babak Moaveni; Costas Papadimitriou; Hierarchical Bayesian model updating for nonlinear structures using response time histories, Model Validation and Uncertainty Quantification, Volume 3. Springer, Cham, 2022: 91-95.

[14] Xinyu Jia; Costas Papadimitriou; Hierarchical Bayesian learning for structural damage identification, in: Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022, Sep. 4-7, 2022, Hannover, Germany.

[15]Xinyu Jia; Omid Sedehi; Costas Papadimitriou; Lambros S. Katafygiotis; Model updating and robust predictions in structural dynamics through hierarchical Bayesian modelling framework, in: Proceedings of the 13th International Conference on Structural Safety & Reliability, ICOSSAR 2021-2022, Sep. 13-17, 2022, Shanghai, China.

[16]姜潮; 贾新宇; 刘杰; 一种基于稀疏网格的XX状态参数不确定性识别方法, 2018-07-09 (专利)

[17]姜潮；贾新宇；李健斐；XX响应误差的获取方法、存储介质和XXXX系统，2018-07-09 (专利)

[18]姜潮; 李健斐; 贾新宇; 基于概率的悬臂梁挠度不确定性求解软件系统, 2019SR0053272, 2019-05-01 (软件著作权)

[19]张德权; 李星奥; 贾新宇; 叶楠; 韩旭 ; 智能机器人RV减速器模型修正与可靠性增长软件V1.0, 2022SR1505073, 2022-09-10 (软件著作权)

[20]詹江正; 颜王吉; 贾新宇; 曹诗泽; 基于代理模型和灵敏度分析的工程结构随机模型修正软件V1.0, 2023R11L0129656, 2022-12-12 (软件著作权)