刘静宜

发布时间:2026-04-10浏览次数:832



姓名:刘静宜

性别:

职务:

职称:讲师

所在部门:数学系

E-mailliujingyi@mail.neu.edu.cn

一、研究领域 人工智能;深度学习;机器学习;三维点云建模;无人驾驶智能决策

二、讲授课程 《实变函数》《泛函分析》《高等数学》《线性代数》

三、教育及工作经历

教育经历

(1) 2015.09-2019.10, 东北大学, 统计学, 博士

(2) 2005.09-2008.03, 东北大学, 基础数学, 硕士

(3) 1999.09-2003.07, 东北大学, 信息与计算科学, 学士

工作经历

(1) 2011.01-至今, 东北大学, 数学系, 讲师

(2) 2008.04-2010.12, 东北大学, 数学系, 助教

(3) 2003.08-2005.08, 东北大学, 文法学院, 助教

四、获得荣誉

辽宁省教学成果一等奖(排名十)

五、科研项目

(1)中央高校基本科研业务费, 国防重大培育项目, N25GFZ010, 基于人工智能的XXX技术研究, 2025.01-2026.12, 30, 在研, 主持

(2)西安彬林电子科技有限公司, 军工项目, 2025020600009, XXX数据采集与评估系统, 2025.02-2025.12, 52.8, 在研, 主持

(3)中国航空工业集团公司沈阳飞机设计研究所, 军工项目, 2024021000119, 面向XXX仿真测试技术研究与验证, 2024.11-2025.12, 165, 在研, 子课题负责人

(4)辽宁省教育厅, 科学研究青年项目, LT2020008, 多隐含层极限学习机的网络优化理论与方法研究, 2020.09-2022.09, 3, 结题, 主持

(5)中央高校基本科研业务费, 科研启动项目, N2005011, 深度极限学习机算法研究, 2020.01-2021.12, 9, 结题, 主持

六、教学研究立项

课程思政示范课程《实变函数》, 理学院本科教育教学改革研究项目, 2022.01-2022.12, 0.5

七、发表论文及著作

(1)Liu Jingyi, Le Ba Tuan*, Ha Thai Thuy Lam. Coal origin identification based on visible-infrared spectroscopy and attention networks [J]. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2025, Vol 266, ID: 105501. (SCI收录, JCR1, IF: 3.8, Northeastern Univ, Coll Sci)

(2)Liu Jingyi*. A New Bounding Procedure for Transportation Problems with Stepwise Costs [J]. MATHEMATICS, 2025, Vol 13(22), ID: 3709. (SCI收录, JCR1, IF: 2.2, Northeastern Univ, Coll Sci)

(3)Liu Jingyi, Fan Gaoxia*, Maimutimin Balaiti. Efficient Image Segmentation of Coal Blocks Using an Improved DIRU-Net Model [J]. MATHEMATICS, 2025, Vol 13(21), ID: 3541. (SCI收录, JCR1, IF: 2.2, Northeastern Univ, Coll Sci)

(4)Liu Jingyi, Le Ba Tuan*. Measurement of sulfur content in coal mining areas by using field-remote sensing data and an integrated deep learning model [J]. PEERJ COMPUTER SCIENCE, 2024, Vol 10, ID: e2458. (SCI收录, JCR2, IF: 2.5, Northeastern Univ, Coll Sci)

(5)Liu Jingyi, Wu Jiawei, Xie Hongfei, Xiao Dong*, Ran Mengying. Semantic Segmentation of Urban Remote Sensing Images Based on Deep Learning [J]. APPLIED SCIENCES-BASEL, 2024, Vol 14(17), ID: 7499. (SCI收录, JCR2, IF: 2.5, Northeastern Univ, Coll Sci)

(6)Liu Jingyi, Zhang Hanquan, Lv Gang, Liu Panpan, Hu Shiming, Xiao Dong*. Helmet Wearing Detection Algorithm Based on YOLOv5s-FCW [J]. APPLIED SCIENCES-BASEL, 2024, Vol 14(21), ID: 9741. (SCI收录, JCR2, IF: 2.5, Northeastern Univ, Coll Sci)

(7)Liu Jingyi, Zhang Hanquan*, Xiao Dong. Research on anti-clogging of ore conveyor belt with static image based on improved Fast-SCNN and U-Net[J]. SCIENTIFIC REPORTS, 2023, Vol 13(1), ID: 17880. (SCI收录, JCR1, IF: 3.8, Northeastern Univ, Coll Sci)

(8)Liu Jingyi, Song Shuni*, Wang Jiayi, Balaiti Maimutimin, Song Nina, Li Sen. Flatness Prediction of Cold Rolled Strip Based on Deep Neural Network with Improved Activation Function [J]. SENSORS, 2022, Vol 22(2), ID: 656. (SCI收录, JCR2, IF: 3.9, Northeastern Univ, Coll Sci)

(9)Liu Jingyi, Wan Lushan, Xiao Dong*. Flatness Prediction of Cold Rolled Strip Based on EM-TELM[J]. IEEE ACCESS. 2021, Vol 9, 51484-51493. (SCI收录, JCR2, IF: 3.476, Northeastern Univ, Coll Sci)

(10)Liu Jingyi, Liu Xinxin, Liu Chongmin, Le Ba Tuan, Xiao Dong*. Pruning Multilayered ELM Using Cholesky Factorization and Givens Rotation Transformation[J]. Mathematical Problems in Engineering. 2021, ID: 5588426. (SCI收录, JCR3, IF: 1.43, Northeastern Univ, Coll Sci)

(11)Liu Jingyi, Liu Xinxin, Liu Chongmin, Le Ba Tuan, Xiao Dong*. Random Search Enhancement of Incremental Regularized Multiple Hidden Layers ELM [J]. IEEE Access, 2019, 7: 36866-36878. (SCI收录, JCR1, IF: 4.54, Northeastern Univ, Coll Sci)

(12)Liu Jingyi, Liu Xinxin, Le Ba Tuan. Rolling Force Prediction of Hot Rolling Based on GA-MELM [J]. Complexity, 2019, ID: 3476521. (SCI收录, JCR1, IF: 2.602, Northeastern Univ, Coll Sci)

(13)Liu Jingyi, Le Ba Tuan. Incremental Multiple Hidden Layers Regularized Extreme Learning Machine Based on Forced Positive-Definite Cholesky Factorization [J]. Mathematical Problems in Engineering, 2019, ID: 6740523. (SCI收录, JCR3, IF: 1.179, Northeastern Univ, Coll Sci)

八、学术兼职