楚湘华
- 教授
- 邮箱:x.chu@szu.edu.cn
- 办公地址:明理楼A423
-
办公电话:
86957860
86957860
教授、博导,深圳大学人力资源部副主任、人才办主任。
深圳市高层次专业人才,深圳大学“荔园优青”,美国亚利桑那州立大学博士后、中美联合培养博士、哈尔滨工业大学博士。主持及参与国家级、省级等各类科研课题十余项,其中,主持国家自然科学基金3项、广东省自然科学基金1项。荣获腾讯“犀牛鸟”科研基金项目奖、"学术新锐奖"等多项科研奖励。
研究方向:科学决策与管理优化、数据驱动建模与分析、群集智能计算与机器学习,及其在物流、能源、医疗、社会管理等交叉领域的应用。
期刊论文(代表性)
1. Xianghua Chu, Shuxiang Li, Fei Gao, Can Cui, Forest Pfeiffer, Jianshuang Cui. A data-driven meta-learning recommendation model for multi-mode resource constrained project scheduling problem, Computers and Operations Research, 2023,157,106290, 1-15. 1873-765X (SCI二区, 影响因子: 4.1). 2023.05.26.
2. Xianghua Chu, Yongsheng Pang, Yue Ma, Shuxiang Li, Yuanju Qu, Yangpeng Wang. Data-driven recommendation model based on meta-learning for non-intrusive load monitoring, IEEE Transactions on Consumer Electronics, 2023, doi.org/10.1109/TCE.2023.3295083. (SCI一区, 影响因子: 4.3). 0098-3063. 2023.7.13.
3. Yuanju Qu, Jiayun Wang, Bo Jiang, Shenghui Cheng, Yangpeng Wang, Peishan Wu, Xinguo Ming, Xianghua Chu*. Self-decision mechanisms of smart production systems based on improved uncertainty theory and user-CFA, Computers & Industrial Engineering, 2023, 183, 109453, 1-14. (SCI一区,影响因子6.7). 0360-8352, 2023.7.15. 中科院Top.
4. Yuanju Qu, Yue Ma, Xinguo Min, Yangpeng Wang, Shenghui Cheng, Xianghua Chu*. Two-stage Coevolution Method for Deep CNN: A Case Study in Smart Manufacturing, Applied Soft Computing, 2023,135, 110026, 1-11. 1568-4946 (SCI一区,影响因子7.2). 2023.01.14. 中科院Top.
5. Yuanju Qu, Yangpeng Wang, Xinguo Ming, Xianghu Chu*. Multi-stakeholder’s sustainable requirement analysis for smart manufacturing systems based on the stakeholder value network approach, Computers & Industrial Engineering, 2023, 177, 109043, 1-14. 0360-8352 (SCI一区,影响因子6.7). 2023.1.28. 中科院Top.
6. Yangpeng Wang, Shuxiang Li, Kangkuen Lee, Hwayaw Tam, Yuanju Qu, Jingyin Huang, Xianghua Chu*. Accident risk tensor-specific covariant model for railway accident risk, Reliability Engineering & System Safety, 2023, 232, 109069, 1-12. (SCI一区, 影响因子: 9.4). 2023.4. 1879-0836,中科院Top.
7. Xiaoxiao Quan, Yongsheng Pang, Jiansheng Chen, Xianghua Chu*, Lina Shangguan. Open Pollution Routing Problem of Logistics Distribution in Medical Union based on Differential Search Algorithm, Scientific Reports, 2022, 12, Article number: 19472. 2045-2322 (SCI二区, 影响因子: 4.6). 2045-2322, 2022.11.14.
8. Xianghua Chu, Jiayun Wang, Shuxiang Li, Yujuan Chai, Yuqiu Guo, Empirical study on meta-feature characterization for multi-objective optimization problems, Neural Computing and Applications, 2022, 34, 16255-16273. https://doi.org/10.1007/s00521-022-07302-5. 0941-0643 (SCI一区, 影响因子: 6). 2022.05.13.
9. Xianghua Chu, Shuxiang Li, Da Gao, Wei Zhao, Jianshuang Cui, Linya Huang, A binary superior tracking artificial bee colony with dynamic cauchy mutation for feature selection, Complexity, 2020, Article ID 8864315, https://doi.org/10.1155/2020/8864315. 1076-2787 (SCI二区, 影响因子: 2.833). 2020.11
10. Xianghua Chu, Fulin Cai, Da Gao, Li Li, Jianshuang Cui, Su Xiu Xu, Quande Qin, An artificial bee colony algorithm with adaptive heterogeneous competition for global optimization problems, Applied Soft Computing, 2020, 93: 106391, 1-18. 1568-4946 (SCI一区, 影响因子: 6.725). 2020.05.
11. Xianghua Chu, Saijun Shao, Suxiu Xu, Kai Kang. Data-driven ferry network design with candidate service arcs: The case of Zhuhai Islands in China, Maritime Policy & Management, 2020, 47(5): 598-614. 0308-8839 (SSCI二区, 影响因子: 3.778). 2020.04.
12. Fei Gao, Hyunsoo Yoon*, Teresa Wu, Xianghua Chu*. A feature transfer enabled multi-task deep learning model on medical imaging, Expert Systems with Applications, 2020, 143: 1-11. 0957-4174.(SCI一区, 影响因子: 6.954). 2020.04. 中科院Top
13. Xianghua Chu, Da Gao, Jiansheng Chen, Jianshuang Cui, Can Cui, Su Xiu Xu, Quande Qin. Adaptive differential search algorithm with multi-strategies for global optimization problems, Neural Computing and Applications, 2019, 31(12): 8423-8440. 0941-0643 (SCI一区, 影响因子: 4.774). 2019.10.
14. Fei Gao, Teresa Wu, Xianghua Chu*, Hyunsoo Yoon, Bhavika Patel. Deep residual inception encoder-decoder network for medical imaging synthesis, IEEE Journal of Biomedical and Health Informatics, 2020, 24(1): 39-49. (SCI一区, 影响因子: 5.772). 2168-2194, 2020.01. 中科院Top
15. Xianghua Chu, Da Gao, Shi Cheng, Lang Wu, Jiansheng Chen, Yuhui Shi, Quande Qin. Worker assignment with learning-forgetting effect in cellular manufacturing system using adaptive memetic differential search algorithm, Computers & Industrial Engineering, 2019, 136: 381-396. (SCI\SSCI一区, 影响因子: 4.135). 0360-8352, 2019.10
16. Quande Qin, Kangqiang Xie, Huangda He, Li Li, Xianghua Chu*, Yiming Wei, Teresa Wu. An effective and robust decomposition-ensemble energy price forecasting paradigm with local linear prediction, Energy Economics, 2019, 83: 402-414. (SSCI一区, 影响因子: 5.203). 2019.09.
17. Xianghua Chu, Fulin Cai, Can Cui, Mengqi Hu, Quande Qin, Li Li. Adaptive recommendation model using meta-learning for population-based algorithms, Information Sciences, 2019, 476: 192-210. (SCI\SSCI一区, 影响因子: 5.910). 2019.02. 0020-0255, 中科院Top
18. Li Li, Xuemin Liu, Jiaoju Ge, Xianghua Chu, Jun Wang. Regional differences in spatial spillover and hysteresis effects: A theoretical and empirical study of environmental regulations on haze pollution in China, Journal of Cleaner Production, 2019, 230: 1096-1110. (SCI\SSCI一区, 影响因子: 7.246). 2019.09
19. Xianghua Chu, Teresa Wu, Jeffery D. Weir, Yuhui Shi, Ben Niu, Li Li. Learning-Interaction-Diversification framework for swarm intelligence optimizers: A unified perspective, Neural Computing and Applications, 2020, 32: 1789-1809. (SCI一区, 影响因子: 5.606). 2020.03
20. Xianghua Chu, Su Xiu Xu, Fulin Cai, Jiansheng Chen, Quande Qin. An efficient auction mechanism for regional logistics synchronization, Journal of Intelligent Manufacturing, 2019, 30: 2715-2731. (SCI\SSCI一区, 影响因子: 4.311). 2019.10, 0956-5515.
21. Lang Wu, Fulin Cai, Li Li, Xianghua Chu*. Cross-trained worker assignment problem in cellular manufacturing system using swarm intelligence meta-heuristics, Mathematical Problems in Engineering, 2018, Article ID 4302062, 1-15. (SCI三区, 影响因子: 1.179). 2018.12.
22. Xianghua Chu, Jiansheng Chen, Fulin Cai, Li Li, Quande Qin. Adaptive brainstorm optimisation with multiple strategies, Memetic Computing, 2018, 10(4): 383-396 (SCI二区, 影响因子: 2.674). 2018.12
23. Quande Qin, Shi Cheng, Xianghua Chu*, Xiujuan Lei, Yuhui Shi. Solving non-convex/non-smooth economic load dispatch problems via an enhanced particle swarm optimization, Applied Soft Computing, 2017, 59: 229-242 (SCI一区, 影响因子: 3.907).
24. Ben Niu, Jing Liu, Teresa Wu, Xianghua Chu, Coevolutionary Structure-Redesigned-Based Bacterial Foraging Optimization, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018, 15(6): 1865-1876 (SCI二区, 影响因子: 2.896).
25. Xianghua Chu, Ben Niu, J.J. Liang, Qiang Lu. An orthogonal-design hybrid particle swarm optimiser with application to capacitated facility location problem, International Journal of Bio-Inspired Computation, 2016, 8(5): 268-285 (SCI二区, 影响因子: 1.94).
26. Xianghua Chu, Mengqi Hu, Teresa Wu, Jeffery D. Weir, Qiang Lu. AHPS2: an optimizer using adaptive heterogeneous particle swarms, Information Sciences, 2014, 280: 26-52 (SCI一区, 影响因子: 4.03).
科研课题
· 中国国家自然科学基金面上项目,基于自适应群集智能协同的大规模全局优化:双层数据驱动,2020 – 2023。(主持,排名第一)
· 中国国家自然科学基金青年项目,基于元学习推荐的自适应群集智能最优化模型研究,2016 – 2018。(主持,排名第一)
· 广东省自然科学基金青年项目,基于自适应算法推荐的群集智能最优化模型研究,2016 – 2019。(主持,排名第一)
· 深圳市哲学社会科学规划课题,习近平新时代“大侨务”观及对深圳创新实践的引领研究,2019。(排名第三)
· 深圳市哲学社会科学规划课题,基于国际比较的深圳市政府在科技创新生态系统中的职能定位与公共政策研究,2019。(排名第四)
· 中国国家自然科学基金青年项目,基于单边组合VCG拍卖的城市物流联动机制及算法研究,2018 – 2020。(联合项目,深圳大学主持人)
· 腾讯“犀牛鸟”——深圳大学青年教师科研基金项目,基于自适应算法推荐的动态群集智能算法模型研究,2017 – 2019。(主持,排名第一)
· 中国国家自然科学基金面上项目,学习效应视角下能源优化配置双层规划模型研究,2019 – 2022。(排名第三)
· 中国国家自然科学基金面上项目,基于复杂适应菌群优化的新型港口布局、泊位与岸吊分配联合决策,2016 – 2019。(排名第四)
· 中国国家自然科学基金面上项目,基于顾客缺货反应的供应链中断研究,2012 – 2015。(排名第四)
· 美国国家科学基金,自适应实时动态决策智能管理系统,2012 – 2015。(参与人)
· 梅奥医学中心,医疗大数据信息系统研究,2013 – 2015。(排名第一)
· 深圳大学青年教师科研启动项目,基于自适应算法匹配的动态群集智能优化模型研究,2016 – 2018。(排名第一)
· 深圳大学交叉学科创新团队,智能优化、决策与现代运营,2015 – 2018。(参与人)
教学获奖
1.深圳大学优秀本科教师奖,2019
2.深圳大学第八届青年教师讲课竞赛,全校二等奖,2018
3.深圳大学2018届百篇优秀本科毕业论文指导教师,2018
4.深圳大学2017届百篇优秀本科毕业论文指导教师,2017
5.深圳大学第八届青年教师讲课竞赛管理学院分赛,一等奖,2018
6.深圳大学管理学院2017年课程点赞奖,全院前3,2017
教研项目
· 深圳大学“聚徒教学”教研项目,数据科学驱动的管理优化与实践,2018 – 2019。(排名第一)
· 深圳大学“聚徒教学”教研项目,数据科学驱动的管理优化与实践,2019 – 2020。(排名第一)
· 深圳大学教研项目,《管理信息系统》教学改革:TRIZ理论框架与实践,2016 –2017。(排名第一)
课程讲授
1.研究生:《最优化计算与工具》、《高阶运筹学》、《数字经济与创新营销》、《粤港澳大湾区发展与治理》
2.本科生:《网络营销》、《管理信息系统》、《技术经济学》、《生产与运作管理》、《电子商务》、《运营管理》、《最优化理论与机器学习》、《基于数据驱动的决策建模与优化》等。
教研论文
1. 楚湘华,等。TRIZ教学体系的探索与实践分析:以管理学院<管理信息系统>教学改革为例,当代教育实践与教学研究,2018, 3, 39.
南山区六届政协委员、南山区人民检察院特约检察员
· 习近平总书记新时代侨务工作思想在深圳的创新实践,2019,研究主持人
· 以飞地经济模式推动我省东西两翼协调发展,2019,研究主持人
· 推动深汕特别合作区发展,健全“飞地经济”模式,2019,研究主持人
· 前海-蛇口自贸区“服务内地、面向世界”发展现状研究报告,2018 – 2019,联合主持
· 粤港澳大湾区重大科技基础设施协同,2018,联合主持
· 发挥科技社团产业组织作用,助推国际科技产业创新中心建设,2018,参与人
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