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刘秋丽

EN
数学科学学院

研究方向:随机对策,随机最优控制
     liuql@m.scnu.edu.cn
2007.09至 2010.06 , 中山大学,概率论与数理统计,博士。
2010.07--2014.12   华南师范大学  讲师
2014.12--至今       华南师范大学  副教授
 
概率论,数理统计等。
1. 2023.012025.12 广东省自然科学基金面上项目零和随机对策的偏差准则的研究,在研。
2. 2018.012020.12 广东省自然科学基金面上项目随机动态博弈的相关准则及其应用,主持,已结题。
3.
2016.012018.12 广东省优秀青年教师:Markov对策理论及其应用的相关研究,主持,已结题。
4.
2015.042018.03 珠江科技新星:概率布尔网络的最优控制及其应用研究,主持,已结题。
5.
2015.012018.01 广东省自然科学基金面上项目马氏决策过程在概率布尔网络中的应用研究, 主持,已结题。
6.
2014.012016.12 国家自然科学基金青年基金:马氏决策过程理论及其在基因调控网络中的应用,主持,已结题。
7.
2013.012013.12 国家自然科学天元基金:离散时间马氏决策过程理论及在概率布尔网络中的应用,主持,已结题。




 







 
[1] 刘秋丽,Wai‑Ki Ching, Xianping Guo, "Zero‑sum stochastic games with the average‑value‑at‑risk criterion" TOP. Online, (SCI)
[2] 刘秋丽, Junyu Zhang, “An average-value-at-risk criterion for Markov decision processes with unbounded costs” To appear in Frontiers of Mathematics in China. (
SCI)

[3] 刘秋丽,Qingguo Zeng, Jinghao Huang, Deliang Li, “Optimal intervention in semi-Markov based asynchronous probabilistic Boolean networks” Complexity,2018. (SCI)
[4] 刘秋丽,Yu He, Junwei Wang, “Optimal control for probabilistic Boolean networks using discrete-time Markov decision processes” Physica A,503(2018),1297-1307. (SCI)
[5] Xin Guo,刘秋丽,Yi Zhang, “Finite horizon risk-sensitive continuous-time Markov decision processes with unbounded transition and cost rates” 4OR-Q J. Oper. Res. 2019
(SCI)
[6] Xiangxiang Huang,刘秋丽,Xianping Guo , “N-person nonzero-sum games for continuous-time jump processes with varying discount factors” IEEE Transactions on Automatic Control., 64(2019), 2037-2044. (SCI)
[7] 刘秋丽Xiangxiang Huang, “Discrete-time zero-sum Markov games with first passage criteria”, Optimization, 66(2017), 571-587. (SCI)
 [8] 刘秋丽,Xiaolong Zou, “A risk minimization problem for finite horizon semi-Markov decision processes with loss rates”, Journal of dynamics and games.
[9] 刘秋丽, “ Optimal control for gene regulatory networks based on controlled semi-Markov processes Current Bioinformatics, 9(2014),  380-388. (SCI)
[10] 刘秋丽,“Optimal finite horizon control in gene regulatory networks”, The European Physical Journal B, 86(2013), 245.(SCI)
[11] 刘秋丽, “An optimal control approach to probabilistic Boolean networks”, Physica A: Statistical Mechanics and its Applications, 391 (2012)6682-6689. (SCI)
[12] 刘秋丽, Hangsheng Tan, Xianping Guo, “Denumerable continuous-time Markov decision processes with multiconstraints on average costs”, International Journal of System Science, 43(2012), 576-585. (SCI)
[13] 刘秋丽Xianping Guo, Tianshou Zhou, “Optimal control for generalized asynchronous probabilistic Boolean networks”, Current Bioinformatics, 7(2012), 56-62. (SCI)
[14] Darong Wu, Yefeng Cai, Jianxiong Cai, 刘秋丽, Yuanqi Zhao, Jingheng Cai, Min Zhao, Yonghui Huang, Liuer Ye and Xianping Guo “Comparative effectiveness research on patients with acute ischemic stroke using Markov decision processes”, BMC Medical Research Methodology, (2012), doi:10.1186/1471-2288-12-23. (SCI)
[15] 刘秋丽, Xianping Guo, Tianshou Zhou, “ Optimal control for probabilistic Boolean networks”, IET Systems biology, 4 (2010), 99-107. (SCI)
[16] Xianping Guo, 刘秋丽, Tianshou Zhou, “ Optimal control of stochastic fluctuations in biochemical reactions”, Journal of biological systems, 17(2009), 283-301. (SCI)
 343-351. (SCI)
 
1. 广东省优秀青年教师
2.广州市珠江科技新星