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  • 李勇军
  • 副教授
  • +86-551-63606822
  • lionli@ustc.edu.cn
  • 管理科学系
  • 运筹
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基本情况

李勇军,男,副教授,博士生导师。

2008年获中国科大管理学博士、随后进入中国科大概率论与数理统计博士后流动站,2010年出站、晋升为管理学院副教授。曾工作访问美国、英国、芬兰和克罗地亚等多所著名商学院。以第一作者或通讯作者在国际、国内学术期刊发表论文70余篇,包括EJOR、OMEGA、ANOR、JORS等,并获得多个科学基金项目支持,包括国家自然科学基金青年、面上项目、重点项目子课题,其中,2016年获得中科院青促会会员荣誉称号(中科院青年人才项目),2017年获安徽省科技进步一等奖。并担任中国优选法统筹法与经济数学研究会青年工作委员、国家自然科学基金项目评审专家和20个国际主流期刊的特约审稿人,包括EJOR、OMEGA、ANOR、JORS、JPA、Energy Policy、COR、CAIE、AMM、AMC、JCP等,其中,2013获Omega期刊最佳审稿人奖。

研究兴趣

1. 手机、配件终端数据分析与商业运营研究

2. 大数据营销研究

3. 现场试验(Field experiment)

4. 决策分析、绩效评价、数据包络分析


招生要求

(1)数学、英文基础扎实;(2)勤奋好学;(3)对大数据运营和营销方向有兴趣。欢迎对大数据理论与技术有热情的同学联系我,联系方式lionli@ustc.edu.cn。

学生培养

已培养博士11人,去向主要有合工大、中山大学等高校,京东大数据中心;已培养硕士15人,去向主要有阿里、字节跳动、大数据中心、广本、银行、期货公司等。多名学生发表了A/B类学术期刊论文、并获国家奖学金、中科院院长奖、朱李月华奖学金等。

本团队培养方式是:理论联系实际,即通过学校理论基础学习和团队的大数据技术培养,结合与大型互联网企业在大数据运营和营销上合作,培养学生在大数据上的实践能力以及理论研究水平。

1. 硕士研究生培养目标是大数据的实践能力,能解决企业的实际问题。

2.博士研究生培养目前是熟练大数据理论与技术,发表顶级期刊论文。

工作经历

2010.7至今         中国科学技术大学管理学院 管理科学系,副教授

2017.9-2017.9         Business School, 英国    Aston Univerisity,访问教授

2016.6-2016.6         Business School, 苏格兰 Strathclyde Univerisity,访问教授

2014.92014.10     Faculty of Economics and Business,Zagreb University,访问教授

2012.1—2013.2       System Analysis Lab, School of Science, Aalto University, 访问学者

2008.7—2010.6    中国科学技术大学 概率论与数理统计博士后流动站,博士后

课题和奖励

2018年 Emerald 出版社 最佳审稿人奖

2017年安徽省自然科学一等奖 “分布式决策环境下的数据包络分析理论与方法”

2017年度张宗植青年教师奖

2016年度中国科学院青年创新促进会会员(中科院青年人才项目)

2016年国家自然科学基金 (No. 71671172) 面上项目主持人

2016年国家自然科学基金重点项目(No. 71631006) 子课题负责人

2015年安徽省自然科学论文奖三等奖

2013年《Omega》最佳审稿人

2012年国家自然科学基金 (No. 71271196) 面上项目主持人

2011中央高校青年创新项目

2010年中国博士后特别资助

2009年国家自然科学基金 (No. 70901070) 青年项目主持人

2009年中国博士后面上基金

教授课程

1、管理经济学,MBA(工商管理硕士)

2、多元统计分析,本科生、研究生

3、管理前沿理论介绍,博士生

4、管理控制,本科生

5、高级商业研究方法,博士

研究成果

共发表学术期刊论文70余篇,部分论文发表在A/B类期刊,包括EJOR、Omega、ANOR、JORS等。部分英文期刊

[1]     Qiwei Xie, Ping Hu, Yongjun Li* and An Jiang, Carbon Emissions Allocation Based on Satisfaction Perspective and Data Envelopment Analysis, Energy Policy, Accepted, 2019.

[2]     Feng Li, Ali Emrouznejad, Guoliang Yang, Yongjun Li. Using a Using a cooperative game data envelopment analysis approach to allocate the carbon dioxide emissions abatement quota in Chinese manufacturing industries, Journal of the Operational Research Society, Accepted, 2019

[3] Li Yongjun, Shi Xiao, Ali Emrouznejad and Liang Liang. Ranking intervals for two-stage production systems, Journal of the Operational Research Society, https://doi.org/10.1080/01605682.2018.1535267, 2018.

[4] Li Yongjun, Li, F., Emrouznejad, A., Liang, L., & Xie, Q. (2019). Allocating the fixed cost: an approach based on data envelopment analysis and cooperative game. Annals of Operations Research, 274 (1-2), 373-394.

[5]     Cheng Bayi, H Zhu, K Li, Li Yongjun* (2019), Optimization of batch operations with a truncated batch-position-based learning effect, OMEGA-International Journal of Management Science,  85, 134-143.

[6] Li Yongjun, Xiyang Lei and Alec Morton (2018), Performance evaluation of nonhomogeneous hospitals: the case of Hong Kong hospitals, Health Care Management Science, 1-14.

[7] Li Yongjun, Shi Xiao, Ali Emrouznejad, Liang Liang, Environmental performance evaluation of Chinese industrial systems: A network SBM approach, Journal of the Operational Research Society, 69 (6), 825-839, 2018

[8]     Li Feng ^, Liang Liang, Li Yongjun* (2018). An alternative approach to decompose the potential gains from mergers, Journal of the Operational Research Society, 69 (11), 1793-1802.

[9]     Zhu Yuanchang, Li Yongjun*, Liang Liang (2018). A Variation of Two-Stage SBM with Leader-Follower Structure: An Application to Chinese Commercial Banks, Journal of the Operational Research Society, 69 (6), 840-848.

[10]  Chen, Y. ^, Li Yongjun*, Liang, L., & Wu, H. (2017). An extension on super slacks-based measure DEA approach. Annals of Operations Research, 1-21.

[11] Li Yongjun, Shi Xiao, Yang Min, Liang Liang, (2017). Variable selection in data envelopment analysis via Akaike’s information criteria. Annals of Operations Research, 253 (1), 453-476.

[12]  Xiao Shi, Li Yongjun, Ali Emrouznejad, Jianhui Xie, Liang Liang. (2017). Estimation of potential gains from bank mergers: A novel two-stage cost efficiency DEA model, Journal of the Operational Research Society, 68(9): 1045-1055.

[13] Yongjun Li*, Jianhui Xie, Meiqiang Wang and Liang Liang, Super Efficiency Evaluation based on a Cooperative-game based Common Platform, European Journal of Operation Research, 2016, 255(3):884-892.

[14]  Ya Chen ^, Li Yongjun*, Liang Liang, Ahti Salo, Huaqing Wu, Frontier Projection and Efficiency Decomposition in Two-stage Processes with Slacks-based Measures, European Journal of Operational Research, 2016, 250(2): 543–554.

[15]  Wu, J., Chu, J., Zhu, Q., Li, Y., & Liang, L. (2016). Determining common weights in data envelopment analysis based on the satisfaction degree. Journal of the Operational Research Society, 67(12), 1446-1458.

[16]   Yang Min ^, Li Yongjun*, Liang Liang. A generalized efficient equilibrium frontier data envelopment analysis approach for evaluating DMUs with fixed-sum outputs, European Journal of Operational Research, 2015, 246(1): 209–217.

[17]   Lei Xiyang ^, Li Yongjun*, Qiwei Xie and Liang Liang. Measuring Olympics achievements based on a parallel DEA approach. Annals of Operations Research, 2015, 226:379–396.

[18] Li Yongjun, Xiyang Lei, Qianzhi Dai and Liang Liang. Performance evaluation for nations at London Summer Olympics using two-stage DEA approach. European Journal of Operational Research, 2015, 243(3): 964–973.

[19]  Yang Min ^, Li Yongjun*, Chen Ya, and Liang Liang. An equilibrium efficiency frontier data envelopment analysis approach for evaluating decision making units with fixed-sum outputs. European Journal of Operational Research, 2014, 239(2): 479–489.

[20] Li Yongjun, Yang Min, Chen Ya, Dai Qianzhi and Liang Liang. Allocating a fixed cost based on data envelopment analysis and satisfaction degree, OMEGA-International Journal of Management Science, 41: 55–60, 2013.

[21]  Si Xiaoling, Liang liang, Jia Guozhu, Yang Li, Wu Huaqing and Li Yongjun*. Proportional sharing and DEA in allocating the fixed cost. Applied Mathematics and Computation, 2013, 219(12): 6580-6590.

[22] Li Yongjun, Chen Yao, Liang Liang, Xie Jianhui. DEA models for extended two-stage network structures, OMEGA-International Journal of Management Science, 40: 611–618, 2012.

[23] Li Yongjun, Liang Liang. A Shapley Value Index on the Importance of Variables in DEA Models. Expert System with Applications, 37(9): 6287–6292, 2010.

[24] Li Yongjun, Yang Feng,Liang Liang and Hua Zhongsheng. Allocating the Fixed Cost as a Complement of Other Cost Inputs: A DEA Approach. European Journal of Operational Research, 197(1): 389-401, 2009.

[25]  Liang Liang, Li Yongjun*, Li Shibing. Increasing the Discriminatory Power of DEA in the presence of the Undesirable Outputs and large Dimensionality of Data Sets with PCA. Expert System with Applications, 36(3): 5895-5899, 2009.

[26] Li Yongjun, Liang Liang, Chen Yao and Morita Hiroshi. Models for measuring and benchmarking Olympics achievements. OMEGA-International Journal of Management Science, 36(6): 933-940, 2008.






Revised on 5th June, 2019


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