Haibo Li is currently a Professor at the College of Computer Science and Technology, Huaqiao University. Heobtained his Ph.D degreein Computer Application Technology from the School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China, in 2008. He joined Hong Kong Polytechnic University, Hong Kong, Chinaas a research scholar and studied under Prof. Keith from September 2014 to March 2015. Li's research interests are in Service Computing,Intelligent Manufacturing,Big Data, Data Mining, Software Engineering and Intelligent Optimization Theory and Algorithm. He is author or coauthor of over 40 publications and has received several awards for his research. His published works appear in several refereed journals, including IEEE Transactions on Industrial Informatics, IEEE Access, Journal of Software, Chinese Journal of Computers and Computer Integrated Manufacturing System, etc.

研究生招生专业

1.软件工程；2.计算机技术。联系电邮：huaqiaou@foxmail.com;lihaibo@hqu.edu.cn

主要学术论文(近五年)

期刊论文：

[1]Haibo Li and Ting He. Selecting Key Feature Sequence of Resource Services in Industrial Internet of Things. IEEE Access, 2018,6(1): 72152-72162(SCI)

[2]Haibo Li, etc. Selection of Resource Service Chain with Conflict-Free Dependencies in Cloud Manufacturing Systems, International Journal of Internet Manufacturing and Services, 2018. (Accepted) https://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijims

[3]Haibo Li, Mengxia Liang. Identifying Inter-Organizational Resource-Service Sequences Based on Similarity for Collaborative tasks. International Journal of Information Technology and Management.2019, 18(2-3): 156-170. (EI:20192407029365)

[4]Haibo Li, Yingchuan Sun, Tangquan Lin. Mining resource service sequences based on similarity for collaborative tasks. International Journal of Services Technology and Management. 2019, 25(5/6) :460-473

[5]Haibo Li, Mengxia Liang, and Ting He. Optimizing the Composition of a Resource Service Chain with Inter-Organizational Collaboration. IEEE Transactions on Industrial Informatics. 2017, 13(3):1152-1161. (SCI, IF=6.764)

[6]Haibo Li, Yafeng Gao. Mining QoS benchmark of resource-service chain for collaborative tasks. International Journal of Internet Manufacturing and Services. 2018,5(2):121-136.(EI:20182305269559)

[7]李海波,雷秀洋. 面向协同任务的资源服务关键特征序列识别方法. 计算机集成制造系统.2017,23(12):2571-2582.(EI:20181004881329)

[8]Haibo Li, Keith C.C. Chan, Mengxia Liang, and Xiangyu Luo. Composition of Resource-Service Chain for Cloud Manufacturing. IEEE Transactions on Industrial Informatics. 2016,12(1):211-219. (SCI, IF=6.764)

[9]Luo Xiangyu, Wu Lijun, Chen Qingliang, Li Haibo, Zheng Lixiao, Chen Zuxi. Symbolic Model Checking for Discrete Real-Time Systems.SCIENCE CHINA Information Sciences. Science China Information Sciences,2018, 61(5):052106:1-23. (SCI)

[10]李海波,梁梦夏.面向协同任务系统的资源服务序列挖掘方法.计算机集成制造系统.2016.22(7):1789-1797. (EI:20163202690972)

[11]李佳,李海波.基于遗传算法的资源服务链构建方法.小型微型计算机系统.2016.37(9):1947-1952.

[12]梁梦夏,李海波.协同任务系统中资源服务序列分析方法.小型微型计算机系统.2016,37(11):2421-2427.

[13]朱银娟,李海波.云制造环境下基于关联度的资源组合方法.计算机工程与应用, 2016,52(2):255-261.

[14]孟庆丰,李海波.面向过程的资源组合排斥冲突检测方法.计算机应用与软件.2016,33(4):22-24,43.

[15]Hai-Bo Li, Jia Li. Platform-independent Modeling Reconfigurable Enterprise Software and Application.International Journal of Applied Mathematics and Machine Learning.2015,3(1),pp.51-67.

[16]张帅,李海波.云制造环境下基于工作流的资源选取方法.计算机集成制造系统.2015,21(3):831-839.(EI)

[17]李海波.基于服务工作流服务的动态预取模型.计算机集成制造系统.2014,20(3):701-709.(EI)

[18]李鹏飞,李海波.云制造环境下基于功能需求的资源发现方法.微型机与应用.2014,33(8):71-74.

会议论文：

[1]Haibo Li, Juncheng Tong, Zheng Zhang and Yongbo Yu. Business Anomaly Detection Based on QoS Benchmark of Resource-service Chain inCollaborative Task. 4th International Conference on Intelligent Computing and Signal Processing (ICSP 2019), 29–31 March 2019, Xi'an, China. Journal of Physics: Conference Series. Vol.1237, 022135, 2019.

[2]Haibo Li, Zheng Zhang, Xinyi Wang, Mushi Zhou and Shujie Li. Electricity Consumption Behaviour Analysis Based on Time Sequence Clustering, 2018 International Conference on Computer Information Science and Application. 7-9 Dec. 2018, Daqing, China. IOP Science, Journal of Physics:Conference Series. Vol.1168, n.3 2019. https://iopscience.iop.org/article/10.1088/1742-6596/1168/3/032011 (EI:20191506744243)

[3] Tangquan Lin, Haibo Li and Yingchuan Sun. Detecting Concept Drift in Resource-Service Sequence for Collaborative Task .2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018).Nanjing, China, May 24-26, 2018, J. Heled and A. Yuan (Eds.).2018.6.19 (EI:20183205673956)

[4]Cheng Wang, Haibo Li, Yingchuan Sun. Processing High-Quality Digitization Audio of the Unique Music. Proceedings of 2017 International Conference on Industrial Design Engineering, ICIDE 2017, Dubai, United Arab Emirates, December 29-31, 2017. ACM ISBN: 978-1-4503-4866-9/17/12,pp.82-89.(EI:20182905556609)

[5]Haibo Li, Mengxia Liang and Yafeng Gao.Pattern-Based Coarse-Grained Component Modelling for Enterprise Application Software Developing. MMME 2016, HongKong. published by EDP Sciences, 12, July, 2016. ISSN:2261-236X. (EI:20163502758199)

[6]Xiu-Yang Lei, Hai-Bo Li, and Ya-Feng Gao (2016) Optimizing resource-service sequence based on genetic algorithm for collaborative task systems. Computer Science, Technology and Application: pp. 355-361. https://doi.org/10.1142/9789813200449_0044.

[7]Haibo Li, MengXia Liang, and Ting He (2017) A Model of Resource Service Virtualization in Cloud Manufacturing. Computer Science and Artificial Intelligence: pp. 867-872. https://doi.org/10.1142/9789813220294_0110.

[8]Haibo Li and Ting He.Composition of Resource Services Based on Bond Energy Algorithm in Collaborative Task. DOI:10.1109/ICSS.2016.21, 9th International Conference on Service Science (ICSS), 2016, IEEE Conference Publications, Electronic ISSN: 2165-3836, 15-16 Oct. 2016, Chongqing, China, pp.113-114.(EI:20174704424983)

[9]Mengxia Liang, Haibo Li and Ting He. Business Process-Centered Big Data Analysis for Collaborative Task Systems. DOI:10.1109/ICSS.2016.29, 9th International Conference on Service Science (ICSS), 2016, IEEE Conference Publications, Electronic ISSN: 2165-3836, 15-16 Oct. 2016, Chongqing, China, pp.163-164.(EI:20174704424992)

[10]Yafeng Gao, Haibo Li and Ting He. An Algorithm for Resource Positioning Service in IoT Cloud Systems. DOI:10.1109/ICSS.2016.35, 9th International Conference on Service Science (ICSS), 2016, IEEE Conference Publications, Electronic ISSN: 2165-3836, 15-16 Oct. 2016, Chongqing, China, pp.50-51.(EI:20174704424973)

[11]Xiuyang Lei, Haibo Li and Ting He. Selecting Key Feature Sequence Based On Mutual Information for Collaborative Task. DOI:10.1109/ICSS.2016.31, 9th International Conference on Service Science (ICSS), 2016, IEEE Conference Publications, Electronic ISSN: 2165-3836, 15-16 Oct. 2016, Chongqing, China, pp.170-171.(EI:20174704424994)

更早论文：

[1]李海波.云制造环境下基于工作流的多粒度资源组合方法 .计算机集成制造系统,2013,19(1):210-216.

[2]熊颖,李海波,李静.基于分簇的本体映射方法.微型机与应用.2013,32(2):70-73.

[3]李海波,战德臣,徐晓飞.面向工作流管理系统的动态构件预取方法,计算机学报,2012,35(5):1038-1045.

[4]李海波,李鹏飞,喻小光.服务工作流中基于资源约束的服务选取方法.中国机械工程.2012,23(18): 2182-2187.

[5]李海波. 工作流模型复杂控制结构构造方法.计算机科学.2012,39(11):106-110.

[6]李海波. 面向工作流管理系统的多粒度构件组织技术.中国机械工程,2011,22(16): 1942-1948.

[7]郭春丽,李海波.基于可变粒度的服务工作流系统服务质量可控性研究.中国机械工程.2011,21(21):2613-2618.

[8]郭春丽,李海波. 基于数据流分析的工作流模型局部性研究.计算机应用与软件.2011,28(10):47-54.

[9]李海波,郭春丽,战德臣.基于约束满足性的工作流执行成功率提高方法.计算机集成制造系统,2010,16(6):1300-1306.

[10]李海波, 战德臣, 徐晓飞. 工作流业务规则语义的完整性验证技术,计算机研究与发展,2009,(43)7:1143-1151.

[11]LI Hai-bo and Zhan De-chen, Reusable Workflow System Design and Development.International Journal of the Computer, the Internet and Management,2007,15(3):39-49.

[12]李海波, 战德臣, 徐晓飞. 基于工作流引擎的构件组装体系结构,软件学报,2006,17(6):1401-1410.

[13]李海波, 战德臣.工作流无效路径的识别方法.计算机集成制造系统,2006, 12(5): 692-696.

[14]李海波, 战德臣. 工作流中数据流的调度控制.计算机集成制造系统,2006, 12(11):1909-1915.

[15]LI Hai-bo, ZHAN De-chen. Component-based Reusable Workflow Engine Design. Proceedings of the International Conference on Advanced Design and Manufacture.2006,2:75-82.

[16]LI Hai-bo, ZHAN De-chen .Consistency of User Interface Based on Petri-Net. In Proc. Of the Eighth Asia Pacific Web Conference, ApWeb2006. Lecture Notes on Computer Science 3054, Springer –Verlag: 846-852.

发明专利

(1)云制造环境中基于资源约束的服务选取方法,专利号：ZL 2012 1 0078643.9；授权日期： 2014.11.19

(2)基于概念关系的领域数据语义的处理方法和检索方法，专利号：ZL 2012 1 0087553.6；授权日期：2014.10.22

(3)一种支持企业用户数据私有化的web服务集成方法,专利号：ZL 2012 1 0073803.0；申请日期：2012.03.19

(4)基于工作流模型的制造能力服务化的方法，专利号：ZL 2013 1 0459513.4；申请日期：2013.09.27

(5)一种云制造服务的资源服务序列验证方法，专利号：ZL 2015 l 0454541.6；申请日期：2015.07.29

(6)面向协同任务系统的资源服务模型建模方法CoRSM，申请号：201510731424.X；申请日期：2015.11.02

(7)资源服务网络中基于聚类的关键特征序列选取方法，申请号；201611191125.2；申请日期：2017.01.10

(8)基于RSSI测距和轨迹相似性的室内定位方法，申请号；201810084586.2；申请日期：2018.01.29

(9)基于树和序列相似度的编程语言代码查重方法，申请号；201810084588.1；申请日期：2018.01.29

(10)一种基于序列结构的程序代码聚类方法，申请号；201810083403.5；申请日期：2018.01.29

软件著作权

(1)学校智造之质量检验/销售合同/数据/采购基础管理系统2018SR1006153/2018SR956180/2018SR945994/2018SR945493

(2)制造装备物联中间件系统 2018SR253748

(3)采用蓝牙基站的室内定位系统客户端/服务端 2018SR167187/2018SR172108

(4)编程语言代码查重系统 2018SR128177

(5)以品牌为核心的快速供应链系统 2011SR024014

(6)农业智能数据分析平台 2011SR058883

(7)农业信息集成与共享服务平台 2011SR058842

主持过的项目

(1)福建省引导性项目“基于多源数据融合的智能公交协同挖掘系统”（2019H01010129）

(2)福建省科技计划产学合作重大项目 “面向闽南优势农业的信息资源挖掘与集成服务平台研发”（2010N5008）；

(3)福建省自然科学基金“服务工作流中软件复用性能分层优化技术研究”（2012J01272）；

(4)福建省高校青年自然基金重点项目“面向服务网络优化的复杂数据序列模式分析方法”（JZ160409）；

(5)厦门市科技计划项目“中小企业云制造服务平台研发”（3502z20110013）；

(6)泉州市科技计划项目“面向任务和制造装备双层协同的数据序列分析方法及系统”（2018C110R）；

(7)泉州市科技计划项目“制造装备物联及生产管理中间件研发”（2015Z125）；

(8)泉州市科技计划项目“以品牌为核心的鞋服行业快速供应链系统研发”（2011G5）；

(9)华侨大学中央高校基本科研业务费资助项目“软件系统的可靠性分层验证技术”(JB-ZR1147)。

参加的项目

(1)国家重点研发计划“服务互联网理论与技术研究”（No.2018YFB1402500）子课题；

(2)国家自然科学基金项目“克服制造业服务化悖论：基于业务过程和产品服务价值视角”（No.71571056）；

(3)国家自然科学基金项目“基于稳定性分析与抽象树划分的软构件粒度优化方法”（No.60773064）；

(4)国家自然科学基金项目“基于业务模型稳定性度量的软件构件获取与优化设计”（No.60573086）；

教学信息

本科课程：《面向对象程序设计》、《UML建模》

研究生课程：《高级软件工程》、《服务工程与服务计算》

科研活动

科研数据集

1.电器行业的协同设计与制造

2. 装饰材料的进销存

3.能耗数据集（只公开一个传感器的数据）