发布时间:2021-03-18
访问量:
2017.11 - 2018.02,新加坡国立大学,商学院,短期访学(机器学习预测方向)
2011.09 - 2014.05,中国航天科技集团公司第710研究所,工学硕士(系统工程 专业)
2007.09 - 2011.06,大连理工大学,软件学院,工学学士(网络工程 专业)
硕士生招生专业:
计算机科学与技术(学硕,学制三年)、计算机技术(专硕,学制三年)、物流工程与管理(专硕,学制三年)
欢迎对以上学术方向感兴趣,具有较扎实的数理、计算机、数据科学基础,工作踏实细致,特别是有志于将学术研究与实践应用相结合的同学申请硕士研究生,同时欢迎对经济社会中数据挖掘问题感兴趣的本科生参与科研项目和实践工作。
电子邮箱:liujiaming@btbu.edu.cn
2018.11 - 2020.12,北京化工大学,经济与管理学院,讲师/师资博士后
2014.05 - 2015.02,中国航天系统科学与工程研究院,助理工程师
科研项目
·国家自然科学基金青年项目,考虑企业关联和时序信息的财务危机预测串并联集成建模研究. 国家自然科学基金青年基金项目,2020-2022,负责人
·北京市自然科学基金面上项目,基于改进深度神经网络的企业财务困境预测可解释性模型研究,2023-2025,负责人
·北京市社会科学基金青年项目,社会网络视角下京津冀物流基地空间布局分析及功能联动机制研究,2019-2021,负责人
·中国博士后科学基金第66批面上资助项目,基于多分类器自适应集成的财务危机动态预测模型研究,2019-2020,负责人
·北京市教育科学“十四五”规划课题,基于教学反馈评论数据的高校在线平台课程教学效果评价研究,2022-2024,负责人
·北京市教育委员会科研计划一般项目,基于深度神经网络的信用风险评估方法及评估结果可解释性研究,2022-2024,负责人
·国家自然科学基金重点项目,共享交通方式的运营管理理论与方法,2020-2024,参与人
科研论文
期刊论文
·Jiaming Liu*,Chengzhang Li, Peng Ouyang, Jiajia Liu, Chong Wu. Interpreting the prediction results of the tree-based gradient boosting models for financial distress prediction with an explainable machine learning approach [J]. Journal of Forecasting, 2022, early view: 1-26. (SSCI检索)
·Jiaming Liu*,Sicheng Zhang, Haoyue Fan. A two-stage hybrid credit risk prediction model using XGBoost and graph-based deep neural network [J]. Expert Systems with Applications, 2022, 195: 116624. (SCI 检索)
·Xiang Li, Haoyue Fan,Jiaming Liu*,Qifeng Xun. Staff Scheduling in Blood Collection Problems [J]. Annals of Operations Research, 2022, 316: 365-400. (SCI检索)
·Jiaming Liu,Liuan Wang*, Linan Zhang, Zeming Zhang, Sicheng Zhang. Predictive analytics for blood glucose concentration: An empirical study using tree-based ensemble approach [J]. Library Hi Tech, 2020, 38(4): 835-858. (SSCI检索)
·Jiaming Liu,Lina Ding, Xiaoyu Guan*, Jiao Gui, Jianbin Xu. Comparative analysis of forecasting for air cargo volume: Statistical techniques vs. machine learning [J]. Journal of Data, Information and Management, 2020, 2(4): 243-255.
·Jiaming Liu,Chong Wu*. Hybridizing kernel-based fuzzy c-means with hierarchical selective ensemble model for business failure prediction [J]. Journal of Forecasting, 2019, 38(2): 92-105. (SSCI检索)
·Jiaming Liu,Chong Wu*, Yongli Li*. Improving financial distress prediction using financial network-based information and GA-based gradient boosting method [J]. Computational Economics, 2019, 53(2): 851-872. (SCI/SSCI检索)
·吴冲,刘佳明*,郭志达. 基于改进粒子群算法的模糊聚类-概率神经网络模型的企业财务危机预警模型研究 [J]. 运筹与管理, 2018, 27(2): 106-114+132. (国家自然科学基金委管理学A类刊物)
·Jiaming Liu,Chong Wu*, Tianyi Su. The reference effect in newsvendor model with strategic customers [J]. Management Decision, 2017, 55(5): 1006-1021. (SSCI检索)
·Jiaming Liu,Chong Wu*. A gradient boosting decision tree approach for firm failure prediction: An empirical model evaluation study of Chinese listed companies [J]. The Journal of Risk Model Validation, 2017, 11(2): 43-64. (SSCI检索)
·Jiaming Liu,Chong Wu*. Dynamic forecasting of financial distress: the hybrid use of incremental bagging and genetic algorithm—empirical study of Chinese listed corporations [J]. Risk Management, 2017, 19(1): 32-52. (SSCI检索)
·Haitao Xiong, Yuchen Zhou,Jiaming Liu,Yuanyuan Cai*. Class-dependent and Cross-modal Memory Network Considering Sentimental Features for Video-based Captioning [J]. Frontiers in Psychology, 2023, 14:1124369. (SSCI检索)
·Xiang Li*, Jiao Gui,Jiaming Liu.Data-driven traffic congestion patterns analysis: A case of Beijing [J]. Journal of Ambient Intelligence and Humanized Computing, 2022. (SCI检索)
·Hongguan Ma*,Jiaming Liu,Xiande Zhao, Bowen Zhang. A study of highway logistics transportation network structure in China: From the perspective of complex network [J]. Journal of Data, Information and Management, 2022, 4(2): 89-105.
·Shengnan Tian, Xiang Li*,Jiaming Liu,Hongguang Ma, Haitai Yu. A short‑turning strategy to alleviate bus bunching [J]. Journal of Ambient Intelligence and Humanized Computing, 2021, 13(1): 117-128. (SCI检索)
·Sicheng Zhang, Fangcheng Tang*, Xiang Li,Jiaming Liu,Bowen Zhang. A hybrid multi-objective approach for real-time flexible production scheduling and rescheduling under dynamic environment in Industry 4.0 context [J]. Computers & Operations Research, 2021, 132: 105267. (SCI检索)
·Dong Zhang*, Chong Wu,Jiaming Liu.Ranking products with online reviews: A novel method based on hesitant fuzzy set and sentiment word framework [J]. Journal of the Operational Research Society, 2020, 71(3): 528-542. (SCI/SSCI检索)
·Chuan Zhang, Zhe Liu*,Jiaming Liu.Least absolute deviations for uncertain multivariate regression model [J]. International Journal of General Systems, 2020, 49(4): 449-465. (SCI检索)
·Yongli Li, Sihan Li, Chuang Wei*,Jiaming Liu.How students’ friendship network affects their GPA ranking [J]. Information Technology & People, 2019, 33(2): 535-553. (SSCI检索)
·Yongli Li, Chong Wu*,Jiaming Liu,Peng Luo. A Combination Prediction Model of Stock Composite Index Based on Artificial Intelligent Methods and Multi-Agent Simulation [J]. International Journal of Computational Intelligence Systems, 2014, 7(5): 853-864. (SCI检索)
会议论文
·Wu, Chong,Jiaming Liu*.A combination use of bagging and random subspace with memory mechanism for dynamic financial distress prediction [C]. 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Bali, Indonesia, 2016-12. (EI检索)
专利&软著
·刘佳明,李想, 范皓玥. 一种基于集成树的呼吸机假阳性报警信号识别方法及系统 [P]. 2022年11月
·范皓玥,刘佳明,李想, 刘克. 一种献血中心人员的智能调度方法及智能调度系统 [P]. 2022年9月
·张思成, 张博文, 李想,刘佳明,马红光. 一种柔性装配作业车间调度的混合优化方法 [P]. 2023年2月
·李想, 桂佼, 马红光,刘佳明,于海涛. 一种数据驱动的城市交通流模式识别与实时预测预警方法 [P]. 2022年4月
·电商仓储助手库存管控系统V1.0. 软件著作权登记号:2023SR0313033
·物流配送管理系统V1.0. 软件著作权登记号:2023SR0362203
·城市交通流速模式分析与实时预测系统[简称:TARPS] V1.0. 软件著作权登记号:2021SR0179611
社会兼职
·中国“双法”研究会智能决策与博弈分会理事
·中国“双法”研究会船海分会理事
·北京系统工程学会理事
·Information Sciences; Electronic Commerce Research and Applications; Information Processing & Management; Kybernetes; 运筹与管理等期刊审稿人
2021年:obao欧宝娱乐 2020-2021学年优秀班主任
2018年:哈尔滨工业大学黄梯云创新研究二等奖
2017年:哈尔滨工业大学博士生国家奖学金
2014年:中国航天科技集团公司优秀毕业研究生
指导学生获奖:
2022年:第八届“互联网+”大学生创新创业大赛高教主赛道北京市三等奖
2022年:第八届“互联网+”大学生创新创业大赛“青年红色筑梦之旅”赛道北京市三等奖
2022年:第十三届“蓝桥杯”全国软件和信息技术专业人才大赛北京市三等奖