办 公 室: A604
邮 箱: [email protected]
研究方向
智能网联、工程应用数据建模、时间序列与多元分析、计算统计
教育背景
2009.09–2014.07 博士 中国科bet365中文
2006.09–2009.07 硕士 北京大学
2002.09–2006.07 学士 北京大学
工作经历
2014.7–今 天津职业技术师范大学 讲师
教学工作
本科生课程 概率论与数理统计、统计软件应用设计
研究生课程 统计计算与软件、机器学习导论
科研项目
2018–2021 国家自然科学基金面上项目 一些复杂数据的统计过程监控与诊断 参加
2018–2021 天津市自然科学基金青年项目 数据流变点的MOSUM型在线监控 主持
论文成果
[1]Zhou, Y., Ge, Y.* and Jia, L. (2024) Double robust federated digital twin modeling in smart grid. Accepted at IEEE Internet of Things Journal (IoT).
[2] Ge,Y., Hou, P.*, Chen, J., Lai, Y., Su, S. and Ji, Z. (2024) Type B uncertainty evaluation for real driving emission test based on second-by-second data. Accepted at International Journal of Vehicle Performance (IJVP).
[3] Ge,Y., Zhou, Y.* and Jia, L.* (2024) Adaptive personalized federated learning with one-shot screening. IEEE Internet of Things Journal (IoT), 11(9),15375-15385.
[4] Ge,Y., Hou, P.*, Lv, T., Lai, Y., Su, S., Luo, W., He, M. and Xiao, L. (2023) Machine learning-aided remote monitoring of NOx emissions from heavy-duty diesel vehicles based on OBD data streams. Atmosphere, 14(4), 651.
[5]Su, S., Hou, P.*, Wang, X.*, Lv, L., Ge, Y., Lv, T., Lai, Y., Luo, W.and Wang, Y. (2023) Evaluating the measurement uncertainty of on-road NOx using a portable emission measurement system (PEMs) based on real testing data in China. Atmosphere, 14(4), 702.
[6]Qiu, S., Liu, Q., Ge, Y. (2023) Confidence intervals of proportion differences for stratified combined unilateral and bilateral data. Communications inStatistics-Simulation and Computation, 52(8), 3839-3862.
[7]Su, S., Ge, Y., Hou, P., Wang, X., Wang, Y.*, Lv, T., Luo, W., Lai, Y.,Ge, Y. and Lv, L. (2021) China VI heavy-duty moving average window (MAW) method: Quantitative analysis of the problem, causes, and impacts based on thereal driving data. Energy, 225, 120295.
[8]葛旸, 李纯. (2018) 典型例题在《概率统计》教学中的创新应用. 天津职业技术师范大学学报, 28(1): 52-56.
[9] Lu,S., Li, H., Cui, D. and Ge, Y. (2017) A modified method to calculate the pelvis trajectory of crash dummies during frontal impact. in: Proc. ICMTMA, Changsha, China, 148-149, IEEE, 2017.
