[1] 国家重点研发计划：专业科技资源及服务集成技术（No. 2017YFB1400800），2017.12-2020.11，项目负责人，总经费2830万（国拨1330万）；

[2] 国家重点研发计划：开放式资源及服务集成模型与机理（No. 2017YFB1400801），2017.12-2020.11，课题负责人，320万；

[3] 国家自然科学基金：带数据安全等级约束的云服务工作流调度（No. 61872077）. 2019.01-2022.12，项目负责人，64万；

[4] 国家自然科学基金重点项目：大数据环境下的大服务理论与方法研究（No. 61832004）. 2019.01-2023.12，第一合作单位负责人，70万；

[5] 国家自然科学基金：云计算环境下多尺度计费服务的批任务工作流调度（No.61572127），2016.1-2019.12，项目负责人，66万；

[6] 国家自然科学基金：带有资源依赖学习效应的多模态项目调度交互式群智能方法（No. 61272377），2013.1-2016.12，项目负责人，82万；

[7] 国家自然科学基金：基于无冲突集的约束Job Shop调度优化算法（No. 60973073），2010.1-2012.12，项目负责人，30万；

[8] 国家自然科学基金：基于服务计算的一类不可分解调度问题自适应算法（No. 60672092），2007.1-2009.12，项目负责人，22万；

[9] 国家自然科学青年基金：基于目标增量的大规模无等待调度复合启发式算法（No. 60504029），2006.1-2008.12，项目负责人，22万；

[10] 国家863计划：基于SOA的高可用车间作业计划与调度协同优化新技术（No. 2008AA04Z103），2008.10-2010.10，项目负责人，71万；

[11] 国家科技支撑计划：制造业信息化标准与规范研究（No. 2006BAK04A20-9），2007.11～2010.9，课题负责人，24万；

[12] 江苏省重点研发计划：技术情报挖掘分析基础理论研究（No. BE2015728），2015/7-2018/6，课题负责人，30万；

[13] 教育部高等学校博士学科点专项科研基金（博导类）：带学习效应的航空制造复杂调度交互群智能方法（No. 20120092110027），2013.1-2015.12，项目负责人，12万；

[14] 教育部新世纪优秀人才支持计划： 复杂生产的智能协同优化方法（ No. NCET-09-0290），2010.1-2012.12，项目负责人，50万；

[15] 江苏省“六大人才高峰”: 服务系统集成技术与优化方法( No. 2019-RJFW-006)，2019.1-2021.12，项目负责人；

[16] 江苏省“六大人才高峰”:复杂云服务智能调度优化方法(No. 2012-WLW-016)，2013.1-2015.12，项目负责人；

[17] 中国博士后科学基金：有资源约束和模糊时间的复杂产品计划优化与控制方法（No. 2003033150），2003.1-2004.12，项目负责人。

[1]    Shuang Wang, Xiaoping Li*, Ruben Ruiz. Performance analysisfor heterogeneous cloud servers using queueing theory. IEEETransactions on Computers, 2020, 69(4): 563-576. (CCF A类)

[2]    Shuang Wang, Xiaoping Li*, Quan Z. Sheng, Ruben Ruiz, Jinquan Zhang, andAmin Beheshti. Multi-Queue Request Scheduling for Profit Maximization in IaaSClouds. IEEE Transactions on Parallel and Distributed Systems. 2021,32(11): 2838-2851. (CCF A类)

[3]    Jie Zhu, Xiaoping Li*, Rubén Ruiz, Wei Li, HaipingHuang, Albert Y. Zomaya. Scheduling Periodical multi-stage jobs withfuzziness to elastic cloud resources. IEEE Transactions on Parallel andDistributed Systems, 2020, 31(12): 2819-2833. (CCF A类)

[4]    Jie Zhu, Xiaoping Li*, Rubén Ruiz, Xiaolong Xu. SchedulingStochastic Multi-stage Jobs to Elastic Hybrid Cloud Resources. IEEETransactions on Parallel and Distributed Systems. 2018, 29(6):1401-1415. (CCF A类)

[5]    Xiaoping Li,Lihua Qian, Rubén Ruiz. Cloud workflow scheduling with deadlines and time slotavailability. IEEE Transactions on Services Computing. 2018, 11(2): 329-340. (CCF B类)

[6]    Xiaoping Li, WeiYu, Rub´en Ruiz, Jie Zhu. Energy-aware cloud workflowapplications scheduling with geo-distributed data. IEEE Transactions on ServicesComputing, 2020, DoI:10. 1109/ TSC .2020.2965106 (CCF B类)

[7]    Xiaoping Li, Fuchao Chen, Rubén Ruiz, Jie Zhu. MapReduce taskscheduling in heterogeneous geo-distributed data centers. IEEE Transactions on Services Computing, Accepted, Doi: 10.1109/TSC.2021.3092563 (CCF B类).

[8]   Zhicheng Cai, Xiaoping Li*, and Jatinder N. D.Gupta, Heuristics for provisioning services to workflows in XaaSClouds, IEEE Transactions on Services Computing. 2016，9(2): 250 -263. (CCFB类)

[9]   Long Chen, Xiaoping Li*, Ruben Ruiz. Resourcerenting for periodical cloud workflow applications. IEEE Transactions on Services Computing. 2020, 13(1): 130-143. (CCF B类)

[10]Jia Wang, Xiaoping Li*, Rub´enRuiz, Jie Yang, Dianhui Chu. Energy Utilization Task Schedulingfor MapReduce in Heterogeneous Clusters. IEEE Transactions on Services Computing, 2020, Doi: 10.1109/TSC.2020.2966697  (CCF B类)

[11] Guangshun Yao, Qian Ren, Xiaoping Li*, Shenghui Zhao, Rubén Ruiz. A hybrid fault-tolerantscheduling for deadline-constrained tasks in Cloud system. IEEE Transactions on Services Computing, DoI: 10.1109/TSC.2020.2992928 (CCF B类)

[12]Yamin Wang, Xiaoping Li*, Rubén Ruiz, Shaochun Sui.An iterated greedy heuristic for mixed no-wait flowshop problems. IEEE Transactions on Cybernetics. 2018. 48(5):1553-1566. (CCF B类)

[13] Yadi Wang, Xiaoping Li*, Rubén Ruiz. Weighted General Group Lasso for Gene Selection inCancer Classification. IEEETransactions on Cybernetics. 2019, 49(8): 2860-2873. (CCF B类)

[14] Xiaoping Li, YadiWang, Rub´en Ruiz. A survey on sparse learning models for feature selection. IEEETransactions on Cybernetics. Accepted. (CCF B类)

[15] Xinye Cai, Wenxue Sun, Mustafa Misir, Kay ChenTan, Xiaoping Li, Tao Xu, Zhun Fan. ABi-objective Constrained Robust Gate Assignment Problem: Formulation, Instancesand Algorithm. IEEETransaction on Cybernetics, 2021, 51(9):4488-4500. (CCF B类)

[16] Xiaoping Li,Zhicheng Cai. Elastic Resource Provisioning for Cloud Workflow Applications. IEEETransactions on Automation Science and Engineering. 2017, 14(2):1195-1210.(CCF B类)

[17] Xiaoping Li, YiZhang. Adaptive hybrid algorithms for the sequence- dependent setup timepermutation flow shop scheduling problem. IEEE Transactions on Automation Science andEngineering. 2012, 9(3):578-595. (CCF B类)

[18] Long Chen, H. Burak Gunay*, Zixiao Shi, WeimingShen, Xiaoping Li. A metadata inferencemethod for building automation systems with limited semantic information. IEEE Transactions on Automation Science andEngineering, 2020, 17(4): 2107-2119. (CCF B类)

[19] Jie Zhu, Xiaoping Li. An effective meta-heuristic for no-wait job shops to minimizemakespan. IEEE Transactions on Automation Science andEngineering. 2012, 9(1): 189-198. (CCF B类)

[20]Xiaoping Li, Yulu Jiang, Rubén Ruiz. Methods forScheduling Problems Considering Experience, Learning, and Forgetting Effects. IEEETransactions on Systems, Man, and Cybernetics: Systems. 2018, 48(5):743-754.  (中科院1区)

[21]Yamin Wang, Xiaoping Li, Rubén Ruiz. An ExactAlgorithm for the Shortest Path Problem With Position-Based Learning Effects. IEEE Transactions on Systems, Man, andCybernetics: Systems. 2017, 47(11): 3037-3049.  (中科院1区)

[22] Haiyan Xu, Xiaoping Li*, Ruben Ruiz, Haihong Zhu. Group scheduling with nonperiodicalmaintenance and deteriorating effects.  IEEE Transactions on Systems, Man, and Cybernetics:Systems. 2021, 51(5): 2860 - 2872.  (中科院1区)

[23]Zhicheng Cai, Xiaoping Li, Ruben Ruiz. Resourceprovisioning for task-batch based workflows with deadlines in publicclouds, IEEE Transactions on Cloud Computing, 2019, 7(3): 814-826. (CCF C类)

[24]Long Chen, Xiaoping Li*, Yucheng Guo, Rubén Ruiz. Hybrid resource provisioning for cloud workflows withmalleable and rigid tasks. IEEE Transactions on Cloud Computing,  2021，9(3): 1089-1102. (CCF C类)

[25]  Yadi Wang, Xiaoping Li, Jun Wang*. A neurodynamic optimization approach tosupervised feature selection via fractional programming.  Neural Networks. 2021,136: 194-206. (CCF B类)

[26]Xiaoping Li,   Dongyuan Pan,   YadiWang,   Ruben Ruiz. Scheduling multi-tenant cloud workflow tasks with resource reliability.SCIENCE CHINA Information Sciences. https://doi.org /10.1007/s11432-020-3295-2. (CCF B类)

[27] Xiaoping Li, Cheng Wu. Heuristic for no-wait flow shops withmakespan minimization based on total idle-time increments. Sciencein China Series F: Information Sciences, 2008, 51(7)：896-909. (CCF B类)

[28] Xiaoping Li, TianzeJiang, Rubén Ruiz. Heuristics for periodical batch job scheduling in aMapReduce computing framework. Information Sciences. 2016,326: 119–133. (CCF B类)

[29] Xiaoping Li, ZhiYang, Ruben Ruiz, Tian Chen, Shaochun Sui. An iterated greedy heuristic for no-wait flow shopswith sequence dependent setup times, learning and forgetting effects.  InformationSciences. 2018, 453: 408-425. (CCF B类)

[30] Yingchun Yuan, Xiaoping Li, Qian Wang. Deadline division basedheuristic for cost optimization in workflow scheduling. InformationSciences, 2009，179(4)：2562-2575. (CCF B类)

[31]Zhicheng Cai, Xiaoping Li, Ruben Ruiz, Qianmu Li. Adelay-based dynamic scheduling algorithm for bag-of-task workflows withstochastic task execution times in clouds. Future Generation Computer Systems, 2017, 71: 57-72. (CCF C类)

[32]Zhicheng Cai, Xiaoping Li, Ruben Ruiz, Qianmu Li.Price forecasting for spot instances in Cloud computing. Future Generation Computer Systems, 2018, 79: 38-53. (CCF C类)

[33] Zhicheng Cai, QianmuLi, Xiaoping Li. Elasticsim: A toolkit forsimulating workflows with cloud resource runtime auto-scaling and stochastictask execution times. Journalof Grid Computing, 2017.6, 15(2): 257~272. (CCF C类)

[34]Long Chen, Xiaoping Li. CloudWorkflow Scheduling with Hybrid Resource Provisioning. Journal of Supercomputing, 2018, 74(12), 6529-6553. (CCF C类)

[35]Ning Liu, Xiaoping Li, Weiming Shen.Multi-granularity resource virtualization and sharing strategies in cloudmanufacturing. Journalof Network and Computer Applications.2014, 46: 72-82. (CCF C类)

[36] Yazhi Li, Xiaoping Li, Jatinder N.D. Gupta.  Solving the multi-objectiveflowline manufacturing cell scheduling problem by hybrid harmony search. ExpertSystems with Applications. 2015, 42(3): 1409-1417. (CCF C类)

[37] Xiaoping Li, ChengWu, Qian Wang. Efficient Composite Heuristics for Total FlowtimeMinimization in Permutation Flow shops. OMEGA, 2009, 37(1): 155- 164.

[38] Yi Zhang, Xiaoping Li, Qian Wang. Hybrid genetic algorithmfor permutation flowshop scheduling problems with total flowtime minimization. EuropeanJournal of Operational Research, 2009, 196(3): 869-876.

[39] Jie Zhu, Xiaoping Li, Qian Wang. Complete Local Searchwith Limited Memory Algorithm for No-Wait Job Shops to Minimize Makespan. EuropeanJournal of Operational Research, 2009, 198: 378-386.

[40]  Chuyang Wang, Xiaoping Li, Qian Wang. Accelerated Tabu Search forNo-wait Flowshop Problem Scheduling with Maximum Lateness Criterion. EuropeanJournal of Operational Research, 2010,206(1):64-72.

[41] Xia Zhu, RubénRuiz, Shiyu Li, Xiaoping Li. An effectiveheuristic for project scheduling with resource availability cost. European Journal of Operational Research, 2017,257: 746–762.

[42]Xiaoping Li, Haiyan Xu, Minmin Li. A memory-based complete local search methodwith variable neighborhood structures for no-wait job shops. International Journal of Advanced ManufacturingTechnology. 2016, 87:1401–1408.

[43] Xiaoping Li, Cheng Wu. An efficientconstructive heuristic for permutation flow shops to minimize total flowtime. Chinese Journal of Electronics, 2005, 14(2): 203-208.

[44]Xia Zhu, Xiaoping Li. Anenhanced greedy random adaptive search procedure withpath- relinking for no-wait flowshop problem with setup times. Integrated Computer-Aided Engineering. 2015, 23(1): 51-68.

[45]Xiaoping Li, Qian Wang, Cheng Wu. Heuristicfor No-Wait Flow Shops with Makespan Minimization. International Journal of ProductionResearch, 2008, 46(9): 2519-2530.

[46]Zhuxi Chen, Xiaoping Li, Jatinder N.D. Gupta. Abi-directional flow-rack automated storage and retrieval system for unit-loadwarehouses. International Journal of Production Research. 2015, 53(14): 4176-4188.

[47]Zhuxi Chen, Xiaoping Li, J.N.D. Gupta. Sequencingthe storages and retrievals for flow-rack automated storage and retrievalsystems with duration-of-stay storage policy, International Journal of Production Research. 2016, 54(4): 984-998.

[48] Dandan Wang, Xiaoping Li. Quay Crane Schedulingwith dual cycling. EngineeringOptimization, 2015, 47(10): 1343-1360.

[49] Dandan Wang, Anne Goodchild, Xiaoping Li, Zun Wang. Double Girder Bridge Crane with Double cycling:Scheduling Strategy and Performance Evaluation. Journal of Applied Mathematics, 2014. 418689

[50] Jia Wang, Xiaoping Li. Task scheduling for MapReduce in HeterogeneousNetworks. Cluster Computing. 2016, 19(1): 197-210.

[51]Yi Zhang, Xiaoping Li. Estimation ofDistribution Algorithm for Permutation Flow Shops with Total FlowtimeMinimization. Computers& Industrial Engineering. 2011,60(4):706-718.

[52]Jie Zhu, Xiaoping Li, Weiming Shen. A divideand conquer based greedy algorithm for two-machine no-wait job shop problemswith makespan minimization. InternationalJournal of Production Research. 2012, 50(10):2692-2704.

[53]Yi Zhang, Xiaoping Li. A Quantum-inspiredIterated Greedy Algorithm for Permutation Flowshops in a Collaborative Manufacturing Environment. International Journal of Computer IntegratedManufacturing. 2012, 25(10): 924-933.

[54]Ning Liu, Xiaoping Li, Granulation-basedResource Classification in Cloud Manufacturing. Proceedings of the Institute of Mechanical Engineers PartB: Journal of Engineering Manufacture. 2015: 0954405415572644

[55]Jie Zhu, Xiaoping Li, Weiming Shen. EffectiveGenetic Algorithm for Resource- constrained Project Scheduling with LimitedPreemptions. International Journal of Machine Learning andCybernetics. 2011.2(2):55-65.

[56]Xia Zhu, Xiaoping Li. Iterative search methodfor total flowtime minimization no-wait flowshop problem.  International Journal of Machine Learning and Cybernetics. 2015, 6(5):747-761.

[57]Xiaoping Li, Long Chen, Haiyan Xu, Jatinder N.D. Gupta. Trajectory SchedulingMethods for minimizing total tardiness in a flowshop. Operations Research Perspectives. 2:13–23, 2015.

[58] 李小平, 吴澄. 基于总空闲时间增量的无等待流水作业计划优化算法. 中国科学：E辑. 2008, 38(12): 2199-2211.

[59] 李小平，徐晓飞. 非同起点加工的多机调度合成算法.计算机学报, 2002,25(8)：817-822.

[60] 李小平,徐晓飞,战德臣. 一种独立任务的同型机调度快速算法. 软件学报, 2002, 13(4): 812-817.

[61] 苑迎春, 李小平, 王茜. 基于逆向分层的网格工作流调度算法. 计算机学报, 2008, 31(2): 282-290.

[62] 朱夏, 李小平, 王茜. 基于目标增量的无等待流水调度迭代贪婪算法. 计算机学报, 2009, 32(1): 132-141.

[63] 苑迎春,李小平,王茜,张晓东. 基于优先级规则的网格工作流调度. 电子学报，2009, 37(7): 1457-1464.

[64] 张晓东, 李小平, 王茜. 服务工作流的混合粒子群调度算法. 通信学报, 2008, 29(8): 87-93.

[65] 苑迎春,李小平, 王茜. 基于串归约的网格工作流费用优化方法. 计算机研究与发展, 2008, 45(2): 246-253.

[66] 苑迎春, 李小平, 王茜. 成本约束的网格工作流费用优化算法. 计算机研究与发展. 2009, 45(2): 194-201.

[67] 王初阳，李小平，王茜，苑迎春. 有准备时间无等待流水车间调度的搜索算法. 计算机研究与发展. 2010, 47(4): 653–662.

[68] 朱夏, 李小平, 王茜. 基于总空闲时间增量的无等待流水调度混合遗传算法. 计算机研究与发展. 2011, 48(3): 455-463.

[69] 王爽，李小平，陈龙. 随机云服务请求性能分析综述，计算机学报，已录用.