[P-1] Guo-Sheng Liu and Ya Zhou*, Minimizing energy consumption and tardiness penalty for fuzzy flow shop scheduling with state-dependent setup time, 147, pp. 470–484, Mar. 2017.
[P-2] Guo-Sheng Liu, Hai-Dong Yang, and Mingbao Cheng*, A three-stage decomposition approach for energy-aware scheduling with processing-time-dependent product quality, International Journal of Production Research, 55(11), pp. 3073–3091, Jun. 2017.
[P-3]G.-S. Liu, J.-J. Li, H.-D. Yang, and G. Q. Huang, “Approximate and branch-and-bound algorithms for the parallel machine scheduling problem with a single server,” Journal of the Operational Research Society, pp. 1–17, 2019.
[P-4]Y. Zhou, Y. Shan, G. Liu, and D. Guan, “Emissions and low-carbon development in Guangdong-Hong Kong-Macao Greater Bay Area cities and their surroundings,” Applied Energy, vol. 228, pp. 1683–1692, Oct. 2018, doi: 10.1016/j.apenergy.2018.07.038.
[P-5]G.-S. Liu, J.-J. Li, and Y.-S. Tang, “Minimizing Total Idle Energy Consumption in the Permutation Flow Shop Scheduling Problem,” Asia Pac. J. Oper. Res., vol. 35, no. 06, p. 1850041, Nov. 2018, doi: 10.1142/S0217595918500410.
[P-6]M. Cheng, S. Xiao, and G. Liu, “Single-machine rescheduling problems with learning effect under disruptions,” Journal of Industrial & Management Optimization, vol. 14, no. 3, p. 967, 2018, doi: 10.3934/jimo.2017085.
[P-7] Guo-Sheng Liu*, Bi-Xi Zhang, Hai-Dong Yang, Xin Chen, and George Q. Huang, Minimizing the total idle energy consumption in permutation flow shop problem, Mathematical problems in engineering, 13 (1), pp. 1-6, Jan. 2013.
[P-8] Hai-Dong Yang, Guo-Sheng Liu*, George Q. Huang, and Xin Chen, Statistical modeling for energy consumption and anomaly detection in rubber vulcanization process, Journal of energy engineering, 139 (2), pp. 65-71, Jun. 2013.
[P-9] Guo-Sheng Liu, F. L. Teixeira*, and Guo-Ji Zhang, ysis of directional logging tools in anisotropic and multieccentric cylindrically-layered earth formations, IEEE Transaction on AP, 60 (1), pp. 318-327, Jan. 2012.
[P-10] Hai-Dong Yang, Jian-Hua Guo, and Guo-Sheng Liu*, Energy anomaly detection in tire curing by using data integration and forecasting techniques, Journal of scientific & industrial research, 71 (6), pp. 385-391, Jun 2012.
[P-11] Guo-Sheng Liu, and Hai-Dong Yang*, Numerical analysis of electrical logging-while-drilling tool using propagator matrix method, International Journal of numerical modeling, 26 (2), pp. 192-203, Feb. 2013.
[P-12] 杨海东, 郑庆仁,刘国胜*,郭建华,基于差分遗传算法的置换流水车间低碳调度模型研究,中南大学学报(自然科学版), 44 (11), pp. 4554-4560, 2013年11月.
[P-13] 刘国胜*, 唐向京, 基于SCR的遗传算法及其在通信网络中的应用, 计算机工程与应用, 21 (8), pp. 68-74, 2012年7月.
[B-1] 杨海东、刘国胜、郭建华、杨春、陈新,制造过程低碳优化模型及应用(ISBN:978-7-03-039107-0),科学出版社,27万字,精装本,2014年1月.
[PA-1] 刘国胜、杨海东、郭建华,一种基于回归型支持向量机确定节能效果的方法及系统,申请时间:2013.11,中国,授权号:P201310530348.7(发明专利).
[PA-2] 杨海东、刘国胜,一种基于神经网络的轮胎硫化机能耗异常检测方法,申请时间:2013.06,中国,申请号:201310261390.3(发明专利).
[PA-3] 刘国胜,基于分支定界算法的流水车间生产调度能效优化系统,授权时间:2012.08,中国,授权号:2012SR078085.
开设课程:
数据挖掘(广东省本科高校线上线下混合式一流本科课程)、运筹学(研究生)、会计+大数据(研究生)等课程
教学项目:
[1] 产教融合背景下《会计+大数据》课程线上线下混合式教学设计研究,中国高等教育学会“2023年度高等教育科学研究规划课题”重点项目,2023.09-2024.08
[2] 教育部产学合作协同育人项目,《数据挖掘课程资源与教学改革建设》,2018.12-2020.05
[3] 教育部产学合作协同育人项目,《基于AI Studio的商务智能课程体系建立》,2021.03-2022.05
[4] 教育部产学合作协同育人项目,《基于数学建模学科竞赛的创新创业模式研究》,2021.07-2022.07
[5] 教育部产学合作协同育人项目,《基于土鸡蛋人工智能识别技术的教学沙盘研发》,2021.07-2022.07
[6] 《会计+大数据》,广东省研究生教育创新计划示范课程建设项目,2022.06 -2024.05
[7] 广工-青木科技科产教融合实践教学基地,广东工业大学校级“本科教学工程”项目,2023.05-2025.04
[8] “数据科学与商务智能”校企联合实验教学示范中心,广东工业大学,2023.03-2025.02
[9] 广东工业大学新工科课程建设项目(华为智能基座)-《大数据应用技术》,2023.03-至今
[10] 广东工业大学新工科课程建设项目(华为智能基座)-《人工智能基础》,2021.03-2022.03
[11] 基于产教融合平台的管理类数据分析课程群教学研究,广东工业大学校级本科教学工程项目,2018.05-2020.04
教学奖项:
[1] 2020年12月,荣获广东工业大学教学优秀二等奖
[2] 2021年9月,荣获广东工业大学管理学院青年教工“比创争活动标兵”
[3] 2016年6月,荣获第六届全国大学生电子商务“三创赛”广东赛区选拔赛三等奖(指导老师)